The role of attention control in complex real-world tasks
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Ackerman, P. L., & Beier, M. E. (2007). Further explorations of perceptual speed abilities in the context of assessment methods, cognitive abilities, and individual differences during skill acquisition. Journal of Experimental Psychology: Applied, 13(4), 249–272. https://doi.org/10.1037/1076-898X.13.4.249
Ackerman, P. L., & Hambrick, D. Z. (2020). A primer on assessing intelligence in laboratory studies. Intelligence, 80, 101440. https://doi.org/10.1016/j.intell.2020.101440
Adams, E. J., Nguyen, A. T., & Cowan, N. (2018). Theories of working memory: Differences in definition, degree of modularity, role of attention, and purpose. Language, Speech, and Hearing Services in Schools, 49(3), 340–355. https://doi.org/10.1044/2018_LSHSS-17-0114
Ahmed, N., de Visser, E., Shaw, T., Mohamed-Ameen, A., Campbell, M., & Parasuraman, R. (2014). Statistical modelling of networked human-automation performance using working memory capacity. Ergonomics, 57(3), 295–318. https://doi.org/10.1080/00140139.2013.855823
Ainsworth, B., & Garner, M. (2013). Attention control in mood and anxiety disorders: Evidence from the antisaccade task. Human Psychopharmacology: Clinical and Experimental, 28(3), 274–280. https://doi.org/10.1002/hup.2320
Aldao, A., Nolen-Hoeksema, S., & Schweizer, S. (2010). Emotion-regulation strategies across psychopathology: A meta-analytic review. Clinical Psychology Review, 30(2), 217–237. https://doi.org/10.1016/j.cpr.2009.11.004
Alderson, R. M., Kasper, L. J., Hudec, K. L., & Patros, C. H. G. (2013). Attention-deficit/hyperactivity disorder (ADHD) and working memory in adults: A meta-analytic review. Neuropsychology, 27(3), 287–302. https://doi.org/10.1037/a0032371
Alloway, T. P. (2006). How does working memory work in the classroom? Educational Research and Reviews, 1(4), 134–139. https://doi.org/10.5897/ERR.9000188
Alloway, T. P., & Alloway, R. G. (2010). Investigating the predictive roles of working memory and IQ in academic attainment. Journal of Experimental Child Psychology, 106(1), 20–29. https://doi.org/10.1016/j.jecp.2009.11.003
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). https://doi.org/10.1176/appi.books.9780890425596
Amrein, A. L., & Beliner, D. C. (2002). High-stakes testing, uncertainty, and student learning. Education Policy Analysis Archives, 10(18). https://doi.org/10.14507/epaa.v10n18.2002
Anthony, K., Wiencek, C., Bauer, C., Daly, B., & Anthony, M. K. (2010). No interruptions please: impact of a no interruption zone on medication safety in intensive care units. Critical Care Nurse, 30(3), 21-29. https://doi.org/10.4037/ccn2010473
Armstrong, T., & Olatunji, B. O. (2012). Eye tracking of attention in the affective disorders: A meta-analytic review and synthesis. Clinical Psychology Review, 32(8), 704–723. https://doi.org/10.1016/j.cpr.2012.09.004
Aron, A. R., & Poldrack, R. A. (2005). The cognitive neuroscience of response inhibition: Relevance for genetic research in attention-deficit/ hyperactivity disorder. Biological Psychiatry, 57(11), 1285–1292. https://doi.org/10.1016/j.biopsych.2004.10.026
Aronen, E. T., Vuontela, V., Steenari, M. R., Salmi, J., & Carlson, S. (2005). Working memory, psychiatric symptoms, and academic performance at school. Neurobiology of Learning and Memory, 83(1), 33–42. https://doi.org/10.1016/j.nlm.2004.06.010
Aronson, J., Lustina, M. J., Good, C., Keough, K., Steele, C. M., & Brown, J. (1999). When White men can’t do math: Necessary and sufficient factors in stereotype threat. Journal of Experimental Social Psychology, 35(1), 29–46. https://doi.org/10.1006/jesp.1998.1371
Arthur, W., Jr., Edwards, B. D., & Barrett, G. V. (2002). Multiple-choice and constructed response tests of ability: Race-based subgroup performance differences on alternative paper-and-pencil test formats. Personnel Psychology, 55(4), 985–1008. https://doi.org/10.1111/j.1744-6570.2002.tb00138.x
Atkinson, R. C., & Shiffrin, R. M. (1968). Human memory: a proposed system and its control processes. In K. W. Spence & J. T. Spence (Eds.), The psychology of learning and motivation: Advances in research and theory (Vol. 2, pp. 89–195). Academic Press. https://doi.org/10.1016/S0079-7421(08)60422-3
Baddeley, A. D. (1992). Working memory. Science, 255(5044), 556–559. https://doi.org/10.1126/science.1736359
Baddeley A. (2000). The episodic buffer: a new component of working memory? Trends in Cognitive Sciences, 4(11), 417–423. https://doi.org/10.1016/s1364-6613(00)01538-2
Baddeley, A. D., & Hitch, G. (1974). Working memory. In G. H. Bower (Ed.), The psychology of learning and motivation: Advances in research and theory (Vol. 8, pp. 47–89). Academic Press. https://doi.org/10.1016/S0079-7421(08)60452-1
Bailey, H., Dunlosky, J., & Kane, M. J. (2008). Why does working memory span predict complex cognition? Testing the strategy affordance hypothesis. Memory & Cognition, 36(8), 1383–1390. https://doi.org/10.3758/mc.36.8.1383
Bair, A. N., & Steele, J. R. (2010). Examining the consequences of exposure to racism for the executive functioning of Black students. Journal of Experimental Social Psychology, 46(1), 127–132. https://doi.org/10.1016/j.jesp.2009.08.016
Balaban, H., Fukuda, K., & Luria, R. (2019). What can half a million change detection trials tell us about visual working memory? Cognition, 191, 103984. https://doi.org/10.1016/j.cognition.2019.05.021
Barch, D. M. (2005). The cognitive neuroscience of schizophrenia. Annual Review of Clinical Psychology, 1, 321–353. https://doi.org/10.1146/annurev.clinpsy.1.102803.143959
Bar-Haim, Y., Lamy, D., Pergamin, L., Bakermans-Kranenburg, M. J., & van IJzendoorn, M. H. (2007). Threat-related attentional bias in anxious and nonanxious individuals: A meta-analytic study. Psychological Bulletin, 133(1), 1–24. https://doi.org/10.1037/0033-2909.133.1.1
Barkley, R. A. (2001). The executive functions and self-regulation: An evolutionary neuropsychological perspective. Neuropsychology Review, 11(1), 1–29. https://doi.org/10.1023/A:1009085417776
Barlow, D. H., Farchione, T. J., Fairholme, C. P., Ellard, K. K., Boisseau, C. L., Allen, L. B., & May, J. T. E. (2010). Unified protocol for transdiagnostic treatment of emotional disorders: Therapist guide (2nd ed.). Oxford University Press.
Barrett, L. F., Tugade, M. M., & Engle, R. W. (2004). Individual differences in working memory capacity and dual-process theories of the mind. Psychological Bulletin, 130(4), 553–573. https://doi.org/10.1037/0033-2909.130.4.553
Batty, G. D., Deary, I. J., Fawns-Ritchie, C., Gale, C. R., & Altschul, D. (2021). Pre-pandemic cognitive function and COVID-19 vaccine hesitancy: cohort study. Brain, Behavior, and Immunity, 96, 100–105. https://doi.org/10.1016/j.bbi.2021.05.016
Baumeister, R. F. (1984). Choking under pressure: Self-consciousness and paradoxical effects of incentives on skillful performance. Journal of Personality and Social Psychology, 46(3), 610–620. https://doi.org/10.1037/0022-3514.46.3.610
Beard, C., Sawyer, A. T., & Hofmann, S. G. (2012). Efficacy of attention bias modification using threat and appetitive stimuli: A meta-analytic review. Behavior Therapy, 43(4), 724–740. https://doi.org/10.1016/j.beth.2012.01.002
Beilock, S. L. (2007). Understanding skilled performance: Memory, attention, and choking under pressure. In Morris, T., Terry, P., & Gordon, S. (Eds.), Sport & exercise psychology: International perspectives (pp. 153–166). West Virginia University.
Beilock, S. L., & Carr, T. H. (2005). When high-powered people fail: Working memory and “choking under pressure” in math. Psychological Science, 16(2), 101–105. https://doi.org/10.1111/j.0956-7976.2005.00789.x
Bell, M. D., Laws, H. B., & Petrakis, I. B. (2017). A randomized controlled trial of cognitive remediation and work therapy in the early phase of substance use disorder recovery for older veterans: Neurocognitive and substance use outcomes. Psychiatric Rehabilitation Journal, 40(1), 94–102. https://doi.org/10.1037/prj0000211
Berggren, N., & Derakshan, N. (2013). Attentional control deficits in trait anxiety: Why you see them and why you don’t. Biological Psychology, 92, 440–446. https://doi.org/10.1016/j.biopsycho.2012.03.007
Bickel, W. K., Yi, R., Landes, R. D., Hill, P. F., & Baxter, C. (2011). Remember the future: Working memory training decreases delay discounting among stimulant addicts. Biological Psychiatry, 69(3), 260–265. https://doi.org/10.1016/j.biopsych.2010.08.017
Bishop, S. J. (2007). Neurocognitive mechanisms of anxiety: An integrative account. Trends in Cognitive Sciences, 11(7), 307–316. https://doi.org/10.1016/j.tics.2007.05.008
Bjork, R. A. (1989). Retrieval inhibition as an adaptive mechanism in human memory. In H. L. Roediger, III, & F. I. M. Craik (Eds.), Varieties of memory and consciousness: Essays in honour of Endel Tulving (pp. 309–330). Erlbaum.
Bjorklund, D. F., Miller, P. H., Coyle, T. R., & Slawinski, J. L. (1997). Instructing children to use memory strategies: Evidence of utilization deficiencies in memory training studies. Developmental Review, 17(4), 411–441. https://doi.org/10.1006/drev.1997.0440
Blanchette, I., & Caparos, S. (2016). Working memory function is linked to trauma exposure, independently of post-traumatic stress disorder symptoms. Cognitive Neuropsychiatry, 21(6), 494–509. https://doi.org/10.1080/13546805.2016.1236015
Bobko, P., Roth, P. L., & Potosky, D. (1999). Derivation and implications of a meta-analytic matrix incorporating cognitive ability, alternative predictors, and job performance. Personnel Psychology, 52(3), 561–589. https://doi.org/10.1111/j.17446570.1999.tb00172.x
Bogg, T., & Finn, P. R. (2010). A self-regulatory model of behavioral disinhibition in late adolescence: Integrating personality traits, externalizing psychopathology, and cognitive capacity. Journal of Personality, 78(2), 441–470. https://doi.org/10.1111/j.1467-6494.2010.00622.x
Bosco, F., Allen, D. G., & Singh, K. (2015). Executive attention: An alternative perspective on general mental ability, performance, and subgroup differences. Personnel Psychology, 68(4), 859–898. https://doi.org/10.1111/peps.12099
Bradley, R. H., & Corwyn, R. F. (2002). Socioeconomic status and child development. Annual Review of Psychology, 53(1), 371–399. https://doi.org/10.1146/annurev.psych.53.100901.135233
Bredemeier, K., & Berenbaum, H. (2013). Cross-sectional and longitudinal relations between working memory performance and worry. Journal of Experimental Psychopathology, 4(4), 420–434. https://doi.org/10.5127/jep.032212
Brewer, G. A., & Unsworth, N. (2012). Individual differences in the effects of retrieval from long-term memory. Journal of Memory and Language, 66(3), 407–415. https://doi.org/10.1016/j.jml.2011.12.009
Brewer, G. A., Knight, J. B., Marsh, R. L., & Unsworth, N. (2010). Individual differences in event-based prospective memory: Evidence for multiple processes supporting cue detection. Memory & Cognition, 38(3), 304–311. https://doi.org/10.3758/MC.38.3.304
Brewer, G. A., Ball, B. H., & Ware, J. M. (2016). Individual differences in working memory capacity and shooting behavior. Journal of Applied Research in Memory and Cognition, 5(2), 185–191. https://doi.org/10.1016/j.jarmac.2016.04.004
Brewin, C. R., Andrews, B., & Valentine, J. D. (2000). Meta-analysis of risk factors for posttraumatic stress disorder in trauma-exposed adults. Journal of Consulting and Clinical Psychology, 68(5), 748–766. https://doi.org/10.1037/0022-006X.68.5.748
Broadbent, D. E. (1957). A mechanical model for human attention and immediate memory. Psychological Review, 64(3), 205–215. https://doi.org/10.1037/h0047313
Broadbent, D. E. (1958). Perception and communication. Oxford University Press. https://doi.org/10.1037/10037-000
Broadway, J. M., & Engle, R. W. (2010). Validating running memory span: Measurement of working memory capacity and links with fluid intelligence. Behavior Research Methods, 42(2), 563–570. https://doi.org/10.3758/BRM.42.2.563
Brooks, S. J., Wiemerslage, L., Burch, K. H., Maiorana, S. A., Cocolas, E., Schiöth, H. B., Kamaloodien, K., & Stein, D. J. (2017). The impact of cognitive training in substance use disorder: The effect of working memory training on impulse control in methamphetamine users. Psychopharmacology, 234(12), 1911–1921. https://doi.org/10.1007/s00213-017-4597-6
Bull, R., & Espy, K. A. (2006). Working memory, executive functioning, and children’s mathematics. In S. J. Pickering (Ed.), Working memory and education (pp. 93–123). Academic Press. https://doi.org/10.1016/b978-012554465-8/50006-5
Burgess, N., & Hitch, G. (2005). Computational models of working memory: Putting long-term memory into context. Trends in Cognitive Sciences, 9(11), 535–541. https://doi.org/10.1016/j.tics.2005.09.011
Burgoyne, A. P., & Engle, R. W. (2020). Attention control: A cornerstone of higher-order cognition. Current Directions in Psychological Science, 29(6), 624–630. https://doi.org/10.1177/0963721420969371
Burgoyne, A. P., Hambrick, D. Z., & Altmann, E. M. (2019). Is working memory capacity a causal factor in fluid intelligence? Psychonomic Bulletin & Review, 26(4), 1333–1339. https://doi.org/10.3758/s13423-019-01606-9
Burgoyne, A. P., Mashburn, C. A., & Engle, R. W. (2021). Reducing adverse impact in high-stakes testing. Intelligence, 87, 101561. https://doi.org/10.1016/j.intell.2021.101561
Buszard, T., Farrow, D., Zhu, F. F., & Masters, R. S. W. (2013). Examining movement specific reinvestment and working memory capacity in adults and children. International Journal of Sport Psychology, 44(4), 351–366.
Buszard, T., Farrow, D., Zhu, F. F., & Masters, R. S. W. (2016). The relationship between working memory capacity and cortical activity during performance of a novel motor task. Psychology of Sport and Exercise, 22, 247–254. https://doi.org/10.1016/j.psychsport.2015.07.005
Cadena, E. J., White, D. M., Kraguljac, N. V., Reid, M. A., Jindal, R., Pixley, R. M., & Lahti, A. C. (2019). Cognitive control network dysconnectivity and response to antipsychotic treatment in schizophrenia. Schizophrenia Research, 204, 262–270. https://doi.org/10.1016/j.schres.2018.07.045
Calkins, M. E., Curtis, C. E., Grove, W. M., & Iacono, W. G. (2004). Multiple dimensions of schizotypy in first degree biological relatives of schizophrenia patients. Schizophrenia Bulletin, 30(2), 317–325. https://doi.org/10.1093/oxfordjournals.schbul.a007081
Campbell-Sills, L., Ellard, K. K., & Barlow, D. H. (2014). Emotion regulation in anxiety disorders. In J. J. Gross (Ed.), Handbook of emotion regulation (pp. 393–412). Guilford Press.
Campion, M. A., Outtz, J. L., Zedeck, S., Schmidt, F. L., Kehoe, J. F., Murphy, K. R., & Guion, R. M. (2001). The controversy over score banding in personnel selection: Answers to 10 key questions. Personnel Psychology, 54, 149–185. https://doi.org/10.1111/j.1744-6570.2001.tb00090.x
Cannon, T. D., Huttunen, M. O., Lonnqvist, J., Tuulio-Henriksson, A., Pirkola, T., Glahn, D., ... Koskenvuo, M. (2000). The inheritance of neuropsychological dysfunction in twins discordant for schizophrenia. The American Journal of Human Genetics, 67(2), 369–382. https://doi.org/10.1086/303006
Cantor, J., & Engle, R. W. (1993). Working-memory capacity as long-term memory activation: An individual-differences approach. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19(5), 1101–1114. https://doi.org/10.1037/0278-7393.19.5.1101
Carretti, B., Borella, E., Cornoldi, C., & De Beni, R. (2009). Role of working memory in explaining the performance of individuals with specific reading comprehension difficulties: A meta-analysis. Learning and Individual Differences, 19(2), 246–251. https://doi.org/10.1016/j.lindif.2008.10.002
Carter, S. E., Ong, M. L., Simons, R. L., Gibbons, F. X., Lei, M. K., & Beach, S. R. H. (2019). The effect of early discrimination on accelerated aging among African Americans. Health Psychology, 38(11), 1010–1013. https://doi.org/10.1037/hea0000788
Case, R., Kurland, D. M., & Goldberg, J. (1982). Operational efficiency and the growth of short- term memory span. Journal of Experimental Child Psychology, 33(3), 386–404. https://doi.org/10.1016/0022-0965(82)90054-6
Caspi, A., Houts, R. M., Belsky, D. W., Goldman-Mellor, S. J., Harrington, H., Israel, S., ... Moffitt, T. E. (2014). The p factor: One general psychopathology factor in the structure of psychiatric disorders? Clinical Psychological Science, 2(2), 119–137. https://doi.org/10.1177/2167702613497473
Castellanos, F. X., & Tannock, R. (2002). Neuroscience of attention-deficit/hyperactivity disorder: The search for endophenotypes. Nature Reviews Neuroscience, 3(8), 617–628. https://doi.org/10.1038/nrn896
Ceci, S. J., & Papierno, P. B. (2005). The rhetoric and reality of gap closing: When the “have- nots” gain but the “haves” gain even more. American Psychologist, 60(2), 149–160. https://doi.org/10.1037/0003-066X.60.2.149
Chan, D. (1997). Racial subgroup differences in predictive validity perceptions on personality and cognitive ability tests. Journal of Applied Psychology, 82(2), 311–320. https://doi.org/10.1037/0021-9010.82.2.311
Chan, D., Schmitt, N., DeShon, R. P., Clause, C. S., & Delbridge, K. (1997). Reactions to cognitive ability tests: the relationships between race, test performance, face validity perceptions, and test-taking motivation. Journal of Applied Psychology, 82(2), 300–310. https://doi.org/10.1037/0021-9010.82.2.300
Chein, J. M., Moore, A. B., & Conway, A. R. (2011). Domain-general mechanisms of complex working memory span. Neuroimage, 54(1), 550-559. https://doi.org/10.1016/j.neuroimage.2010.07.067
Chen, J. Y. C., & Barnes, M. J. (2012). Supervisory control of multiple robots: Effects of imperfect automation and individual differences. Human Factors, 54(2), 157-174. https://doi.org/10.1177/0018720811435843
Chen, J. Y. C., & Terrence, P. I. (2009). Effects of imperfect automation and individual differences on concurrent performance of military and robotics tasks in a simulated multitasking environment. Ergonomics, 52(8), 907–920. https://doi.org/10.1080/00140130802680773
Chen, N. T., Clarke, P. J., Watson, T. L., MacLeod, C., & Guastella, A. J. (2014). Biased saccadic responses to emotional stimuli in anxiety: An antisaccade study. PLOS ONE, 9(2), e86474. https://doi.org/10.1371/journal.pone.0086474
Chuderski, A., Taraday, M., Nęcka, E., & Smoleń, T. (2012). Storage capacity explains fluid intelligence but executive control does not. Intelligence, 40(3), 278–295. https://doi.org/10.1016/j.intell.2012.02.010
Cisler, J. M., & Koster, E. H. W. (2010). Mechanisms of attentional biases towards threat in anxiety disorders: An integrative review. Clinical Psychology Review, 30(2), 203–216. https://doi.org/10.1016/j.cpr.2009.11.003
Cisler, J. M., Bacon, A. K., & Williams, N. L. (2009). Phenomenological characteristics of attentional biases towards threat: A critical review. Cognitive Therapy and Research, 33(2), 221–234. https://doi.org/10.1007/s10608-007-9161-y
Cockcroft, K. (2015). The role of working memory in childhood education: Five questions and answers. South African Journal of Childhood Education, 5(1), 1–20. https://doi.org/10.4102/sajce.v5i1.347
Colom, R., & Shih, P. C. (2004). Is working memory fractionated onto different components of intelligence? A reply to Mackintosh and Bennett (2003). Intelligence, 32(5), 431–444. https://doi.org/10.1016/j.intell.2004.06.011
Colom, R., Martínez-Molina, A., Shih, P. C., & Santacreu, J. (2010). Intelligence, working memory, and multitasking performance. Intelligence, 38(6), 543–551. https://doi.org/10.1016/j.intell.2010.08.002
Contrada, R. J., Ashmore, R. D., Gary, M. L., Coups, E., Egeth, J. D., Sewell, A., ... Chasse, V. (2001). Measures of ethnicity-related stress: Psychometric properties, ethnic group differences, and associations with well-being. Journal of Applied Social Psychology, 31(9), 1775–1820. https://doi.org/10.1111/j.1559-1816.2001.tb00205.x
Conway, A. R., Cowan, N., & Bunting, M. F. (2001). The cocktail party phenomenon revisited: The importance of working memory capacity. Psychonomic Bulletin & Review, 8(2), 331–335. https://doi.org/10.3758/BF03196169
Conway, A. R. A., Kane, M. J., Bunting, M. F., Hambrick, Z. D., Wilhelm, O., & Engle, R. W. (2005). Working memory span tasks: A methodological review and user’s guide. Psychonomic Bulletin & Review, 12(5), 769–786. https://doi.org/10.3758/bf03196772
Conway, A. R. A., Kovacs, K., Hao, H., Rosales, K. P., & Snijder, J.-P. (2021). Individual differences in attention and intelligence: A united cognitive/psychometric approach. Journal of Intelligence, 9(3), 34. https://doi.org/10.3390/jintelligence9030034
Corcoran, K. M., Farb, N., Anderson, A., & Segal, Z. V. (2010). Mindfulness and emotion regulation: Outcomes and possible mediating mechanisms. In A. M. Kring & D. M. Sloan (Eds.), Emotion regulation and psychopathology: A transdiagnostic approach to etiology and treatment (pp. 339–355). Guilford Press.
Cowan, N. (1988). Evolving conceptions of memory storage, selective attention, and their mutual constraints within the human information-processing system. Psychological Bulletin, 104(2), 163–191. https://doi.org/10.1037/0033-2909.104.2.163
Cowan, N. (1999). An Embedded-Processes Model of working memory. In A. Miyake & P. Shah (Eds.), Models of working memory: Mechanisms of active maintenance and executive control (pp. 62–101). Cambridge University Press. https://doi.org/10.1017/CBO9781139174909.006
Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24(1), 87–114. https://doi.org/10.1017/s0140525x01003922
Cowan N. (2008). What are the differences between long-term, short-term, and working memory? Progress in Brain Research, 169, 323–338. https://doi.org/10.1016/S00796123(07)00020-9
Cowan, N. (2014). Working memory underpins cognitive development, learning, and education. Educational Psychology Review, 26(2), 197–223. https://doi.org/10.1007/s10648-013-9246-
Cowan N. (2017). The many faces of working memory and short-term storage. Psychonomic Bulletin & Review, 24(4), 1158–1170. https://doi.org/10.3758/s13423-016-1191-6
Cowan, N., Elliott, E. M., Scott Saults, J., Morey, C. C., Mattox, S., Hismjatullina, A., & Conway, A. R. (2005). On the capacity of attention: Its estimation and its role in working memory and cognitive aptitudes. Cognitive Psychology, 51(1), 42–100. https://doi.org/10.1016/j.cogpsych.2004.12.001
Crandall, A., Allsop, Y., & Hanson, C. L. (2018). The longitudinal association between cognitive control capacities, suicidality, and depression during late adolescence and young adulthood. Journal of Adolescence, 65, 167–176. https://doi.org/10.1016/j.adolescence.2018.03.009
Craske, M. G., Treanor, M., Conway, C. C., Zbozinek, T., & Vervliet, B. (2014). Maximizing exposure therapy: An inhibitory learning approach. Behaviour Research and Therapy, 58, 10–23. https://doi.org/10.1016/j.brat.2014.04.006
Crevits, L., Van den Abbeele, D., Audenaert, K., Goethals, M., & Dierick, M. (2005). Effect of repetitive transcranial magnetic stimulation on saccades in depression: A pilot study. Psychiatry Research, 135(2), 113–119. https://doi.org/10.1016/j.psychres.2003.10.008
Cristea, I. A., Kok, R. N., & Cuijpers, P. (2015). Efficacy of cognitive bias modification interventions in anxiety and depression: Meta-analysis. The British Journal of Psychiatry, 206(1), 7–16. https://doi.org/10.1192/bjp.bp.114.146761
Cronbach, L. J. (1957). The two disciplines of scientific psychology. American Psychologist, 12(11), 671–684. https://doi.org/10.1037/h0043943
Cronbach, L. J., & Furby, L. (1970). How should we measure “change”—Or should we? Psychological Bulletin, 74(1), 68–80. https://doi.org/10.1037/h0029382
Crosbie, J., Pérusse, D., Barr, C. L., & Schachar, R. J. (2008). Validating psychiatric endophenotypes: Inhibitory control and attention deficit hyperactivity disorder. Neuroscience and Biobehavioral Reviews, 32(1), 40–55. https://doi.org/10.1016/j.neubiorev.2007.05.002
Cusack, R., Lehmann, M., Veldsman, M., & Mitchell, D. J. (2009). Encoding strategy and not visual working memory capacity correlates with intelligence. Psychonomic Bulletin & Review, 16(4), 641-–647. https://doi.org/10.3758/PBR.16.4.641
Cusack, K., Jonas, D. E., Forneris, C. A., Wines, C., Sonis, J., Middleton, J. C., Feltner, C., Brownley, K. A., Olmsted, K. R., Greenblatt, A., Weil, A., & Gaynes, B. N. (2016). Psychological treatments for adults with posttraumatic stress disorder: A systematic review and meta-analysis. Clinical Psychology Review, 43, 128–141. https://doi.org/10.1016/j.cpr.2015.10.003
Daches, S., Mor, N., & Hertel, P. (2019). Training to inhibit negative content affects memory and rumination. Cognitive Therapy and Research, 43(6), 1018–1027. https://doi.org/10.1007/s10608-019-10023-0
Dandeneau, S. D., Baldwin, M. W., Baccus, J. R., Sakellaropoulo, M., & Pruessner, J. C. (2007). Cutting stress off at the pass: Reducing vigilance and responsiveness to social threat by manipulating attention. Journal of Personality and Social Psychology, 93, 651–666. https://doi.org/10.1037/0022-3514.93.4.651
Daneman, M., & Carpenter, P. A. (1980). Individual differences in working memory and reading. Journal of Verbal Learning and Verbal Behavior, 19(4), 450–466. https://doi.org/10.1016/S0022-5371(80)90312-6
Daneman, M., & Merikle, P. M. (1996). Working memory and language comprehension: A meta-analysis. Psychonomic Bulletin & Review, 3(4), 422–433. https://doi.org/10.3758/BF03214546
De Beni, R., & Palladino, P. (2000). Intrusion errors in working memory tasks: Are they related to reading comprehension ability? Learning and Individual Differences, 12(2), 131–143. https://doi.org/10.1016/S1041-6080(01)00033-4
De Lissnyder, E., Derakshan, N., De Raedt, R., & Koster, E. H. W. (2011). Depressive symptoms and cognitive control in a mixed antisaccade task: Specific effects of depressive rumination. Cognition and Emotion, 25(5), 886–897. https://doi.org/10.1080/02699931.2010.514711
De Raedt, R., & Koster, E. H. W. (2010). Understanding vulnerability for depression from a cognitive neuroscience perspective: A reappraisal of attentional factors and a new conceptual framework. Cognitive, Affective & Behavioral Neuroscience, 10(1), 50–70. https://doi.org/10.3758/CABN.10.1.50
de Visser, E., Shaw, T., Mohamed-Ameen, A., & Parasuraman, R. (2010). Modeling human automation team performance in networked systems: Individual differences in working memory count. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 54(14), 1087–1091. https://doi.org/10.1518/107118110X12829369833529
De Voogd, E. L., Wiers, R. W., Prins, P. J. M., & Salemink, E. (2014). Visual search attentional bias modification reduced social phobia in adolescents. Journal of Behavior Therapy and Experimental Psychiatry, 45(2), 252–259. https://doi.org/10.1016/j.jbtep.2013.11.006
Dehn, M. J. (2008). Working memory and academic learning: Assessment and intervention. John Wiley & Sons Inc.
Demeyer, I., De Lissnyder, E., Koster, E. H. W., & De Raedt, R. (2012). Rumination mediates the relationship between impaired cognitive control for emotional information and depressive symptoms: A prospective study in remitted depressed adults. Behaviour Research and Therapy, 50(5), 292–297. https://doi.org/10.1016/j.brat.2012.02.012
Demir, O. E., Prado, J., & Booth, J. R. (2014). The differential role of verbal and spatial working memory in the neural basis of arithmetic. Developmental Neuropsychology, 39(6), 440–458. https://doi.org/10.1080/87565641.2014.939182
Derakshan, N., Ansari, T. L., Hansard, M., Shoker, L., & Eysenck, M. W. (2009). Anxiety, inhibition, efficiency, and effectiveness: An investigation using the antisaccade task. Experimental Psychology, 56(1), 48–55. https://doi.org/10.1027/1618-3169.56.1.48
Derryberry, D., & Reed, M. A. (2002). Anxiety-related attentional biases and their regulation by attentional control. Journal of Abnormal Psychology, 111(2), 225–236. https://doi.org/10.1037/0021-843X.111.2.225
Devinsky, O., Morrell, M. J., & Vogt, B. A. (1995). Contributions of anterior cingulate cortex to behaviour. Brain, 118, 279–306. https://doi.org/10.1093/brain/118.1.279
Diamond, A. (2005). Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention deficit/hyperactivity disorder (with hyperactivity). Development and Psychopathology, 17(3), 807–825. https://doi.org/10.1017/S0954579405050388
Donders, F. C. (1969). Over de snelheid van psychische processen. [On the speed of mental processes.] In: W. G. Koster (Ed.), Attention and performance II (W. G. Koster, Trans., pp. 412–431). North-Holland. (Original work published 1868). https://doi.org/10.1016/0001-6918(69)90065-1
Dotson, V. M., McClintock, S. M., Verhaeghen, P., Kim, J. U., Draheim, A. A., Syzmkowicz, S. M., ... De Wit, L. (2020). Depression and cognitive control across the lifespan: A systematic review and meta-analysis. Neuropsychology Review, 30, 461–476. https://doi.org/10.1007/s11065-020-09436-6
Dougherty, M. R., Hamovitz, T., & Tidwell, J. W. (2016). Reevaluating the effectiveness of n back training on transfer through the Bayesian lens: Support for the null. Psychonomic Bulletin & Review, 23(1), 306–316. https://doi.org/10.3758/s13423-015-0865-9
Draheim, C., & Engle, R. W. (2021). The visual arrays task: Lessons from four manipulations. Poster presented at the 62nd annual meeting of the Psychonomic Society, virtual conference
Draheim, C., Hicks, K. L., & Engle, R. W. (2016). Combining reaction time and accuracy: The relationship between working memory capacity and task-switching as a case example. Perspectives on Psychological Science, 11(1), 133–155. https://doi.org/10.1177/1745691615596990
Draheim, C., Harrison, T. L., Embretson, S. E., & Engle, R. W. (2018). What item response theory can tell us about the complex span tasks. Psychological Assessment, 30(1), 116–129. https://doi.org/10.1037/pas0000444
Draheim, C., Mashburn, C. A., Martin, J. D., & Engle, R. W. (2019). Reaction time in differential and developmental research: A review and commentary on problems and alternatives. Psychological Bulletin, 145(5), 508–535. https://doi.org/10.1037/bul0000192
Draheim, C., Tsukahara, J. S., Martin, J. D., Mashburn, C. A., & Engle, R. W. (2021). A toolbox approach to improving the measurement of attention control. Journal of Experimental Psychology: General, 150(2), 242–275. https://doi.org/10.1037/xge0000783
Dunning, D. L., & Holmes, J. (2014). Does working memory training promote the use of strategies on untrained working memory tasks? Memory & Cognition, 42(6), 854–862. https://doi.org/10.3758/s13421-014-0410-5
Durso, F. T., & Gronlund, S. D. (1999). Situation awareness. In F. T. Durso (Ed.), Handbook of applied cognition (pp. 283–314). John Wiley & Sons Ltd.
Durso, F. T., Bleckley, M. K., & Dattel, A. R. (2006). Does situation awareness add to the validity of cognitive tests? Human Factors, 48(4), 721–733. https://doi.org/10.1518/001872006779166316
Earles, J. L., Connor, L. T., Frieske, D., Park, D. C., Smith, A. D., & Zwahr, M. (1997). Age differences in inhibition: Possible causes and consequences. Aging, Neuropsychology, and Cognition, 4(1), 45–57. https://doi.org/10.1080/13825589708256635
Edwards, J. R. (2001). Ten difference score myths. Organizational Research Methods, 4(3), 265– 287. https://doi.org/10.1177/109442810143005
Edwards, B. D., & Arthur, W., Jr. (2007). An examination of factors contributing to a reduction in subgroup differences on a constructed-response paper-and-pencil test of scholastic achievement. Journal of Applied Psychology, 92(3), 794–801. https://doi.org/10.1037/0021-9010.92.3.794
Egeland, J. (2015). Measuring working memory with Digit Span and the Letter-Number Sequencing subtests from the WAIS-IV: too low manipulation load and risk for underestimating modality effects. Applied Neuropsychology: Adult, 22(6), 445–451. https://doi.org/10.1080/23279095.2014.992069
Endsley, M. R. (1995). Toward a theory of situation awareness in dynamic systems. Human Factors, 37(1), 32–64. https://doi.org/10.1518/001872095779049543
Engle, R. W. (2002). Working memory capacity as executive attention. Current Directions in Psychological Science, 11(1), 19–23. https://doi.org/10.1111/1467-8721.00160
Engle, R. W., Carullo, J. J., & Collins, K. W. (1991). Individual differences in working memory for comprehension and following directions. The Journal of Educational Research, 84(5), 253–262. https://doi.org/10.1080/00220671.1991.10886025
Engle, R. W., Tuholski, S. W., Laughlin, J. E., & Conway, A. R. (1999). Working memory, short-term memory, and general fluid intelligence: a latent-variable approach. Journal of Experimental Psychology: General, 128(3), 309–331. https://doi.org/10.1037/0096-3445.128.3.309
Englert, C., & Oudejans, R. R. (2014). Is choking under pressure a consequence of skill-focus or increased distractibility? Results from a tennis serve task. Psychology, 5(9), 1035–1043. https://doi.org/10.4236/psych.2014.59116
Erickson, S. K., Lilienfeld, S. O., & Vitacco, M. J. (2007). A critical examination of the suitability and limitations of psychological tests in family court. Family Court Review, 45(2), 157–174. https://doi.org/10.1111/j.1744-1617.2007.00136.x
Eriksen, B. A., & Eriksen, C. W. (1974). Effects of noise letters upon the identification of a target letter in a nonsearch task. Perception & Psychophysics, 16(1), 143–149. https://doi.org/10.3758/BF03203267
Evans, G. W., & Schamberg, M. A. (2009). Childhood poverty, chronic stress, and adult working memory. Proceedings of the National Academy of Sciences, 106(16), 6545–6549. https://doi.org/10.1073/pnas.0811910106
Evans, J. S. B. T., & Stanovich, K. E. (2013). Dual-process theories of higher cognition: Advancing the debate. Perspectives on Psychological Science, 8(3), 223–241. https://doi.org/10.1177/1745691612460685
Eysenck, M. W., Payne, S., & Derakshan, N. (2005). Trait anxiety, visuospatial processing, and working memory. Cognition and Emotion, 19, 1214–1228. https://doi.org/10.1080/02699930500260245
Fenesi, B., Sana, F., Kim, J. A., & Shore, D. I. (2015). Reconceptualizing working memory in educational research. Educational Psychology Review, 27(2), 333–351. https://doi.org/10.1007/s10648-014-9286-y
Finn, P. R. (2002). Motivation, working memory, and decision-making: A cognitive-motivational theory of personality vulnerability to alcoholism. Behavioral and Cognitive Neuroscience Reviews, 1(3), 183–205. https://doi.org/10.1177/1534582302001003001
Finn, P. R., Mazas, C. A., Justus, A. N., & Steinmetz, J. (2002). Early-onset alcoholism with conduct disorder: go/no go learning deficits, working memory capacity, and personality. Alcoholism: Clinical and Experimental Research, 26(2), 186–206. https://doi.org/10.1097/00000374-200202000-00006
Fodor, L. A., Georgescu, R., Cuijpers, P., Szamoskozi, Ş., David, D., Furukawa, T. A., & Cristea, I. A. (2020). Efficacy of cognitive bias modification interventions in anxiety and depressive disorders: A systematic review and network meta-analysis. The Lancet Psychiatry, 7(6), 506–514. https://doi.org/10.1016/S2215-0366(20)30130-9
Forbes, N. F., Carrick, L. A., McIntosh, A. M., & Lawrie, S. M. (2009). Working memory in schizophrenia: A meta-analysis. Psychological Medicine, 39(6), 889–905. https://doi.org/10.1017/S0033291708004558
Foroughi, C. K., Werner, N. E., Nelson, E. T., & Boehm-Davis, D. A. (2014). Do interruptions affect quality of work? Human Factors, 56(7), 1262–1271. https://doi.org/10.1177/0018720814531786
Foroughi, C. K., Barragán, D., & Boehm-Davis, D. A. (2016a). Interrupted reading and working memory capacity. Journal of Applied Research in Memory and Cognition, 5(4), 395–400. https://doi.org/10.1016/j.jarmac.2016.02.002
Foroughi, C. K., Malihi, P., & Boehm-Davis, D. A. (2016b). Working memory capacity and errors following interruptions. Journal of Applied Research in Memory and Cognition, 5(4), 410-414. https://doi.org/10.1016/j.jarmac.2016.05.002
Foroughi, C. K., Werner, N. E., McKendrick, R., Cades, D. M., & Boehm-Davis, D. A. (2016c). Individual differences in working-memory capacity and task resumption following interruptions. Journal of Experimental Psychology: Learning, Memory, and Cognition, 42(9), 1480–1488. https://doi.org/10.1037/xlm0000251
Foroughi, C. K., Rovira, E., Rose, K., Davis, D., Jurado, J. J., Chae, J., Pak, R., Brown, N. L., Sibley, C., & Coyne, J. T. (2019). How do individual differences in attention control and working memory capacity relate to monitoring automation? Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63(1), 1409–1413. https://doi.org/10.1177/1071181319631196
Forsberg, A., Guiard, D., Adams, E. J., Pattanakul, D., Cowan, N. (2021). Children’s long-term retention is directly constrained by their working memory capacity limitations. Developmental Science, e13164. Advance online publication. https://doi.org/10.1111/desc.13164
Forstmann, B. U., Tittgemeyer, M., Wagenmakers, E. J., Derrfuss, J., Imperati, D., & Brown, S. (2011). The speed–accuracy tradeoff in the elderly brain: a structural model-based approach. Journal of Neuroscience, 31(47), 17242–17249. https://doi.org/10.1523/JNEUROSCI.0309-11.2011
Foster, J. L., Shipstead, Z., Harrison, T. L., Hicks, K. L., Redick, T. S., & Engle, R. W. (2015). Shortened complex span tasks can reliably measure working memory capacity. Memory & Cognition, 43(2), 226–236. https://doi.org/10.3758/s13421-014-0461-7
Foster, J. L., Harrison, T. L., Hicks, K. L., Draheim, C., Redick, T. S., & Engle, R. W. (2017). Do the effects of working memory training depend on baseline ability level? Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(11), 1677–1689. https://doi.org/10.1037/xlm0000426
Friedman, N. P., & Miyake, A. (2004). The relations among inhibition and interference control functions: A latent-variable analysis. Journal of Experimental Psychology: General, 133(1), 101–135. https://doi.org/10.1037/0096-3445.133.1.101
Friedman, N. P., & Miyake, A. (2017). Unity and diversity of executive functions: Individual differences as a window on cognitive structure. Cortex, 86, 186–204. https://doi.org/10.1016/j.cortex.2016.04.023
Frith, E., Kane, M. J., Welhaf, M. S., Christensen, A. P., Silvia, P. J., & Beaty, R. E. (2021). Keeping creativity under control: Contributions of attention control and fluid intelligence to divergent thinking. Creativity Research Journal, 33(2), 138–157. https://doi.org/10.1080/10400419.2020.1855906
Fukuda, K., & Vogel, E. K. (2009). Human variation in overriding attentional capture. Journal of Neuroscience, 29(27), 8726–8733. https://doi.org/10.1523/JNEUROSCI.2145-09.2009
Fukuda, K., & Vogel, E. K. (2011). Individual differences in recovery time from attentional capture. Psychological Science, 22(3), 361–368. https://doi.org/10.1177/0956797611398493
Fukuda, K., & Vogel, E. K. (2019). Visual short-term memory capacity predicts the “bandwidth” of visual long-term memory encoding. Memory & Cognition, 47(8), 1481–1497. https://doi.org/10.3758/s13421-019-00954-0
Fukuda, K., Woodman, G. F., & Vogel, E. K. (2016). Individual differences in visual working memory capacity: Contributions of attentional control to storage. In P. Jolicoeur, C. Lefebvre, & J. Martinez-Trujillo (Eds.), Mechanisms of sensory working memory: Attention and performance XXV (pp. 105–119). Academic Press. https://doi.org/10.1016/b978-0-12-801371-7.00009-0
Furley, P. A., & Memmert, D. (2010). The role of working memory in sport. International Review of Sport and Exercise Psychology, 3(2), 171–194. https://doi.org/10.1080/1750984X.2010.526238
Furley, P. A., & Memmert, D. (2012). Working memory capacity as controlled attention in tactical decision-making. Journal of Sport & Exercise Psychology, 34(3), 322–344. https://doi.org/10.1123/jsep.34.3.322
Furley, P., & Wood, G. (2016). Working memory, attentional control, and expertise in sports: A review of current literature and directions for future research. Journal of Applied Research in Memory and Cognition, 5(4), 415–425. https://doi.org/10.1016/j.jarmac.2016.05.001
Gaba, D. M., Howard, S. K., & Small, S. D. (1995). Situation awareness in anesthesiology. Human Factors, 37(1), 20–31. https://doi.org/10.1518/001872095779049435
Gathercole, S. E., & Baddeley, A. D. (1989). Evaluation of the role of phonological STM in the development of vocabulary in children: A longitudinal study. Journal of Memory and Language, 28(2), 200–213. https://doi.org/10.1016/0749-596X(89)90044-2
Gathercole, S. E., & Pickering, S. J. (2000). Assessment of working memory in six-and seven- year-old children. Journal of Educational Psychology, 92(2), 377–390. https://doi.org/10.1037/0022-0663.92.2.377
Gathercole, S. E., Lamont, E., & Alloway, T. P. (2006). Working memory in the classroom. In S. J. Pickering (Ed.), Working memory and education (pp. 219–240). Academic Press. https://doi.org/10.1016/b978-012554465-8/50010-7
Gathercole, S. E., Alloway, T. P., Kirkwood, H. J., Elliott, J. G., Holmes, J., & Hilton, K. A. (2008). Attentional and executive function behaviours in children with poor working memory. Learning and Individual Differences, 18(2), 214–223. https://doi.org/10.1016/j.lindif.2007.10.003
Gaztambide, D. J. (2012). Addressing cultural impasses with rupture resolution strategies: A proposal and recommendations. Professional Psychology: Research and Practice, 43(3), 183–189. https://doi.org/10.1037/a0026911
Gillie, T., & Broadbent, D. (1989). What makes interruptions disruptive? A study of length, similarity, and complexity. Psychological Research, 50(4), 243–250. https://doi.org/10.1007/bf00309260
Gillie, B. L., & Thayer, J. F. (2014). Individual differences in resting heart rate variability and cognitive control in posttraumatic stress disorder. Frontiers in Psychology, 5(758). https://doi.org/10.3389/fpsyg.2014.00758
Goldinger, S. D., Kleider, H. M., Azuma, T., & Beike, D. R. (2003). “Blaming the victim” under memory load. Psychological Science, 14(1), 81–85. https://doi.org/10.1111/1467-9280.01423
Gonzalez, C., & Wimisberg, J. (2007). Situation awareness in dynamic decision-making: Effects of practice and working memory. Journal of Cognitive Engineering and Decision Making, 1(1), 56–74. https://doi.org/10.1177/155534340700100103
Goodman, J. B., Freeman, E. E., & Chalmers, K. A. (2019). The relationship between early life stress and working memory in adulthood: A systematic review and meta-analysis. Memory, 27(6), 868–880. https://doi.org/10.1080/09658211.2018.1561897
Gotlib, I. H., & Cane, D. B. (1987). Construct accessibility and clinical depression: A longitudinal investigation. Journal of Abnormal Psychology, 96(3), 199-204. https://doi.org/10.1037/0021-843X.96.3.199
Gotlib, I. H., & Joormann, J. (2010). Cognition and depression: Current status and future directions. Annual Review of Clinical Psychology, 6, 285–312. https://doi.org/10.1146/annurev.clinpsy.121208.131305
Gottfredson, L. S. (1986). Societal consequences of the g factor in employment. Journal of Vocational Behavior, 29(3), 379–410. https://doi.org/10.1016/0001-8791(86)90015-1
Graham, S. (1992). “Most of the subjects were White and middle class”: Trends in published research on African Americans in selected APA journals, 1970–1989. American Psychologist, 47, 629–639. https://doi.org/10.1037/0003-066X.47.5.629
Gray, J. R., & Braver, T. S. (2002). Personality predicts working-memory-related activation in the caudal anterior cingulate cortex. Cognitive, Affective, & Behavioral Neuroscience, 2(1), 64–75. https://doi.org/10.3758/CABN.2.1.64
Gray, S., Green, S., Alt, M., Hogan, T., Kuo, T., Brinkley, S., & Cowan, N. (2017). The structure of working memory in young children and its relation to intelligence. Journal of Memory and Language, 92, 183–201. https://doi.org/10.1016/j.jml.2016.06.004
Green, S. B., Yang, Y., Alt, M., Brinkley, S., Gray, S., Hogan, T., & Cowan, N. (2016). Use of internal consistency coefficients for estimating reliability of experimental task scores. Psychonomic Bulletin & Review, 23(3), 750–763. https://doi.org/10.3758/s13423-015-0968-3
Grégoire, S., Rivalan, M., Le Moine, C., & Dellu-Hagedorn, F. (2012). The synergy of working memory and inhibitory control: Behavioral, pharmacological and neural functional evidences. Neurobiology of Learning and Memory, 97(2), 202–212. https://doi.org/10.1016/j.nlm.2011.12.003
Gross, J. J. (2015). Emotion regulation: Current status and future prospects. Psychological Inquiry, 26(1), 1–26. https://doi.org/10.1080/1047840X.2014.940781
Gutzwiller, R. S., & Clegg, B. A. (2013). The role of working memory in levels of situation awareness. Journal of Cognitive Engineering and Decision-making, 7(2), 141–154. https://doi.org/10.1177/1555343412451749
Habib, A., Harris, L., Pollick, F., & Melville, C. (2019). A meta-analysis of working memory in individuals with autism spectrum disorders. PLOS ONE, 14(4), e0216198. https://doi.org/10.1371/journal.pone.0216198
Halford, G. S., Wilson, W. H., & Phillips, S. (1998). Processing capacity defined by relational complexity: Implications for comparative, developmental, and cognitive psychology. Behavioral and Brain Sciences, 21(6), 803–831. https://doi.org/10.1017/s0140525x98001769
Hambrick, D. Z., Oswald, F. L., Darowski, E. S., Rench, T. A., & Brou, R. (2010). Predictors of multitasking performance in a synthetic work paradigm. Applied Cognitive Psychology, 24 (8), 1149–1167. https://doi.org/10.1002/acp.1624
Harris, M. S. H., Reilly, J. L., Keshavan, M. S., & Sweeney, J. A. (2006). Longitudinal studies of antisaccades in antipsychotic-naive first-episode schizophrenia. Psychological Medicine, 36(4), 485–494. https://doi.org/10.1017/S0033291705006756
Harrison, T. L. (2017). N-back as a measure of working memory capacity [Unpublished doctoral dissertation]. Georgia Institute of Technology. https://smartech.gatech.edu/handle/1853/58762
Harrison, C., & Tanner, K. D. (2018). Language matters: Considering microaggressions in science. CBE—Life Sciences Education, 17(1). https://doi.org/10.1187/cbe.18-01-0011
Harrison, T. L., Hertzog, C., & Engle, R. W. (2013a, November). Is subjective organization related to working memory capacity and fluid intelligence? Poster presented at the 54th meeting of the Psychonomic Society, Toronto, ON, Canada.
Harrison, T. L., Shipstead, Z., Hicks, K. L., Hambrick, D. Z., Redick, T. S., & Engle, R. W. (2013b). Working memory training may increase working memory capacity but not fluid intelligence. Psychological Science, 24(12), 2409–2419. https://doi.org/10.1177/0956797613492984
Harrison, T. L., Shipstead, Z., & Engle, R. W. (2015). Taxonomy of transfer to cognitive abilities: The case of working memory training. In: D. S. Lindsay (Ed.) & C. M. Kelley (Trans.) & A. P. Yonelinas, H. L. Roediger II (Eds.), Psychology Press Festschrift Series. Remembering: Attributions, processes, and control in human memory: Essays in honor of Larry Jacoby (p. 307–321). Psychology Press.
Hartmann, E., Sunde, T., Kristensen, W., & Martinussen, M. (2003). Psychological measures as predictors of military training performance. Journal of Personality Assessment, 80(1), 87–98. https://doi.org/10.1207/S15327752JPA8001_17
Harvey, A. G., Watkins, E. R., Mansell, W., & Shafran, R. (2004). Cognitive behavioural processes across psychological disorders: A transdiagnostic approach to research and treatment. Oxford University Press.
Hausknecht, J. P., Day, D. V., & Thomas, S. C. (2004). Applicant reactions to selection procedures: An updated model and meta-analysis. Personnel Psychology, 57(3), 639–683. https://doi.org/10.1111/j.1744-6570.2004.00003.x
Hayes, S., Hirsch, C., & Mathews, A. (2008). Restriction of working memory capacity during worry. Journal of Abnormal Psychology, 117, 712–717. https://doi.org/10.1037/a0012908
Hedge, C., Powell, G., & Sumner, P. (2018). The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences. Behavior Research Methods, 50(3), 1166–1186. https://doi.org/10.3758/s13428-017-0935-1
Hedge, C., Vivian-Griffiths, S., Powell, G., Bompas, A., & Sumner, P. (2019). Slow and steady? Strategic adjustments in response caution are moderately reliable and correlate across tasks. Consciousness and cognition, 75, 102797. https://doi.org/10.1016/j.concog.2019.102797
Hedge, C., Powell, G., Bompas, A., & Sumner, P. (in press). Strategy and processing speed eclipse individual differences in control ability in conflict tasks. Journal of Experimental Psychology: Learning, Memory and Cognition. https://doi.org/10.31234/osf.io/vgpxq
Hedlund, S., & Rude, S. S. (1995). Evidence of latent depressive schemas in formerly depressed individuals. Journal of Abnormal Psychology, 104(3), 517–525. https://doi.org/10.1037/0021-843X.104.3.517
Heilbrun, K. (1992). The role of psychological testing in forensic assessment. Law and Human Behavior, 16(3), 257–272. https://doi.org/10.1007/BF01044769
Heitz, R. P. (2014). The speed–accuracy tradeoff: History, physiology, methodology, and behavior. Frontiers in Neuroscience, 8. https://doi.org/10.3389/fnins.2014.00150
Heitz, R. P., & Engle, R. W. (2007). Focusing the spotlight: individual differences in visual attention control. Journal of Experimental Psychology: General, 136(2), 217–240. https://doi.org/10.1037/0096-3445.136.2.217
Heitz, R. P., Unsworth, N., & Engle, R. W. (2005). Working memory capacity, attention control, and fluid intelligence. In O. Wilhelm & R. W. Engle (Eds.), Handbook of understanding and measuring intelligence (pp. 61–78). SAGE Publications. https://doi.org/10.4135/9781452233529.n5
Heitz, R. P., Redick, T. S., Hambrick, D. Z., Kane, M. J., Conway, A. R., & Engle, R. W. (2006). Working memory, executive function, and general fluid intelligence are not the same. Behavioral and Brain Sciences, 29(2), 135–136. https://doi.org/10.1037/0278-7393.32.4.749
Held, J. D., Carretta, T. R., & Rumsey, M. G. (2014). Evaluation of tests of perceptual speed/accuracy and spatial ability for use in military occupational classification. Military Psychology, 26(3), 199–220. https://doi.org/10.1037/mil0000043
Hendry, A., Jones, E. J. H., Bedford, R., Andersson Konke, L., Begum Ali, J., Bölte, S., Brocki, K. C., Demurie, E., Johnson, M., Pijl, M. K. J., Roeyers, H., Charman, T., & Eurosibs Team. (2020). Atypical development of attentional control associates with later adaptive functioning, autism and ADHD traits. Journal of Autism and Developmental Disorders, 50(11), 4085–4105. https://doi.org/10.1007/s10803-020-04465-9
Henry, L. A. (2001). How does the severity of a learning disability affect working memory performance? Memory, 9(4/6), 233–247. https://doi.org/10.1080/09658210042000085
Hertel, P. T. (2004). Memory for emotional and nonemotional events in depression: A question of habit? In D. Reisberg & P. Hertel (Eds.), Memory and emotion (pp. 186–216). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195158564.003.0006
Hertel, P. T., & Gerstle, M. (2003). Depressive deficits in forgetting. Psychological Science, 14(6), 573–578. https://doi.org/10.1046/j.0956-7976.2003.psci_1467.x
Hertel, P. T., & Rude, S. S. (1991). Depressive deficits in memory: Focusing attention improves subsequent recall. Journal of Experimental Psychology: General, 120(3), 301–309. https://doi.org/10.1037/0096-3445.120.3.301
Hertel, P. T., Benbow, A. A., & Geraerts, E. (2012). Brooding deficits in memory: Focusing attention improves subsequent recall. Cognition and Emotion, 26(8), 1516–1525. https://doi.org/10.1080/02699931.2012.668852
Hicks, K. L., Foster, J. L., & Engle, R. W. (2016). Measuring working memory capacity on the web with the online working memory lab (the OWL). Journal of Applied Research in Memory and Cognition, 5(4), 478–489. https://doi.org/10.1016/j.jarmac.2016.07.010
Hilbert, S., Nakagawa, T. T., Puci, P., Zech, A., & Bühner, M. (2014). The digit span backwards task. European Journal of Psychological Assessment, 31(3), 174–180. https://doi.org/10.1027/1015-5759/a000223
Holmes, J., Gathercole, S. E., & Dunning, D. L. (2009). Adaptive training leads to sustained enhancement of poor working memory in children. Developmental Science, 12(4), F9–F15. https://doi.org/10.1111/j.1467-7687.2009.00848.x
Hostinar, C. E. & Cicchetti, D. (2019). Emotion dysregulation and internalizing spectrum disorders. In T. P. Beauchaine & S. E. Crowell (Eds.), The Oxford handbook of emotion dysregulation (pp. 249–264). Oxford University Press.
Hough, L. M., Oswald, F. L., & Ployhart, R. E. (2001). Determinants, detection and amelioration of adverse impact in personnel selection procedures: Issues, evidence and lessons learned. International Journal of Selection and Assessment, 9(1/2), 152–194. https://doi.org/10.1111/1468-2389.00171
Howard, C. J., & Holcombe, A. O. (2010). Unexpected changes in direction of motion attract attention. Attention, Perception, & Psychophysics, 72(8), 2087–2095. https://doi.org/10.3758/APP.72.8.2087
Hoyt, C. (1941). Test reliability estimated by analysis of variance. Psychometrika, 6(3), 153–160. https://doi.org/10.1007/BF02289270
Hughes, M. M., Linck, J. A., Bowles, A. R., Koeth, J. T., & Bunting, M. F. (2014). Alternatives to switch-cost scoring in the task switching paradigm: Their reliability and increased validity. Behavioral Research Methods, 46(3), 702–721. https://doi.org/10.3758/s13428-013-0411-5
Hutchison, K. A. (2007). Attentional control and the relatedness proportion effect in semantic priming. Journal of Experimental Psychology: Learning, Memory, and Cognition, 33(4), 645–662. https://doi.org/10.1037/0278-7393.33.4.645
Hutton, S. B., & Ettinger, U. (2006). The antisaccade task as a research tool in psychopathology: A critical review. Psychophysiology, 43(3), 302–313. https://doi.org/10.1111/j.1469-8986.2006.00403.x
Ilieva, I. P., Hook, C. J., & Farah, M. J. (2015). Prescription stimulants' effects on healthy inhibitory control, working memory, and episodic memory: A meta-analysis. Journal of Cognitive Neuroscience, 27(6), 1069–1089. https://doi.org/10.1162/jocn_a_00776
Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Perrig, W. J. (2008). Improving fluid intelligence with training on working memory. Proceedings of the National Academy of Sciences, 105(19), 6829–6833. https://doi.org/10.1073/pnas.0801268105
Jahanshahi, M., Saleem, T., Ho, A. K., Fuller, R., & Dirnberger, G. (2008). A preliminary investigation of the running digit span as a test of working memory. Behavioural Neurology, 20(1/2), 17–25. https://doi.org/10.1155/2008/195684
James, W. (1890). The principles of psychology (Vol 1). Henry Holt and Co. https://doi.org/10.1037/10538-000
Jaschinski, U., & Wentura, D. (2002). Misleading postevent information and working memory capacity: An individual differences approach to eyewitness memory. Applied Cognitive Psychology, 16(2), 223–231. https://doi.org/10.1002/acp.783
Jazbec, S., McClure, E., Hardin, M., Pine, D. S., & Ernst, M. (2005). Cognitive control under contingencies in anxious and depressed adolescents: An antisaccade task. Biological Psychiatry, 58(8), 632–639. https://doi.org/10.1016/j.biopsych.2005.04.010
Jha, A. P., Stanley, E. A., Kiyonaga, A., Wong, L., & Gelfand, L. (2010). Examining the protective effects of mindfulness training on working memory capacity and affective experience. Emotion, 10(1), 54–64. https://doi.org/10.1037/a0018438
Johannsdottir, K. R., & Herdman, C. M. (2010). The role of working memory in supporting drivers’ situation awareness for surrounding traffic. Human Factors, 52(6), 663–673. https://doi.org/10.1177/0018720810385427
Jones, P. C. (2017). Evaluating the relationship between minority stress and working memory: The influence of psychological distress and identity valence (Publication No. 10279711) [Doctoral dissertation, Temple University]. ProQuest Dissertations Publishing.
Jones, G., & Macken, B. (2018). Long-term associative learning predicts verbal short-term memory performance. Memory & Cognition, 46(2), 216–229. https://doi.org/10.3758/s13421-017-0759-3
Joormann, J. (2004). Attentional bias in dysphoria: The role of inhibitory processes. Cognition and Emotion, 18(1), 125–147. https://doi.org/10.1080/02699930244000480
Joormann, J., & D'Avanzato, C. (2010). Emotion regulation in depression: Examining the role of cognitive processes. Cognition and Emotion, 24(6), 913–939. https://doi.org/10.1080/02699931003784939
Joormann, J., & Gotlib, I. H. (2007). Selective attention to emotional faces following recovery from depression. Journal of Abnormal Psychology, 116(1), 80–85. https://doi.org/10.1037/0021-843X.116.1.80
Joormann, J., & Gotlib, I. H. (2008). Updating the contents of working memory in depression: Interference from irrelevant negative material. Journal of Abnormal Psychology, 117(1), 182–192. https://doi.org/10.1037/0021-843X.117.1.182
Joormann, J., & Gotlib, I. H. (2010). Emotion regulation in depression: Relation to cognitive inhibition. Cognition and Emotion, 24(2), 281-298. https://doi.org/10.1080/02699930903407948
Joormann, J., & Vanderlind, W. M. (2014). Emotion regulation in depression: The role of biased cognition and reduced cognitive control. Clinical Psychological Science, 2(4), 402-421. https://doi.org/10.1177/2167702614536163
Joormann, J., Talbot, L., & Gotlib, I. H. (2007). Biased processing of emotional information in girls at risk for depression. Journal of Abnormal Psychology, 116(1), 135–143. https://doi.org/10.1037/0021-843X.116.1.135
Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.
Kane, M. J., & McVay, J. C. (2012). What mind wandering reveals about executive-control abilities and failures. Current Directions in Psychological Science, 21(5), 348–354. https://doi.org/10.1177/0963721412454875
Kane, M. J., Bleckley, M. K., Conway, A. R., & Engle, R. W. (2001). A controlled-attention view of working-memory capacity. Journal of Experimental Psychology: General, 130(2), 169–183. https://doi.org/10.1037/0096-3445.130.2.169
Kane, M. J., Hambrick, D. Z., Tuholski, S. W., Wilhelm, O., Payne, T. W., & Engle, R. W. (2004). The generality of working memory capacity: a latent-variable approach to verbal and visuospatial memory span and reasoning. Journal of Experimental Psychology: General, 133(2), 189-217. https://doi.org/10.1037/0096-3445.133.2.189
Kane, M. J., Hambrick, D. Z., & Conway, A. R. A. (2005). Working memory capacity and fluid intelligence are strongly related constructs: comment on Ackerman, Beier, and Boyle (2005). Psychological Bulletin, 131(1), 66–71. https://doi.org/10.1037/0033-2909.131.1.66
Kane, M. J., Conway, A. R. A., Hambrick, D. Z., & Engle, R. W. (2007) Variation in working memory capacity as variation in executive attention and control. In: A.R.A. Conway, C. Jarrold, M. J. Kane, A. Miyake, and J. N. Towse (Eds.), Variation in Working Memory (pp. 21-48). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195168648.003.0002
Kasper, L. J., Alderson, R. M., & Hudec, K. L. (2012). Moderators of working memory deficits in children with attention-deficit/hyperactivity disorder (ADHD): A meta-analytic review. Clinical Psychology Review, 32(7), 605–617. https://doi.org/10.1016/j.cpr.2012.07.001
Keilp, J. G., Gorlyn, M., Russell, M., Oquendo, M. A., Burke, A. K., Harkavy-Friedman, J., & Mann, J. J. (2013). Neuropsychological function and suicidal behavior: attention control, memory and executive dysfunction in suicide attempt. Psychological Medicine, 43(3), 539–551. https://doi.org/10.1017/S0033291712001419
Kelley, T. L. (1927). Interpretation of educational measurements (pp. 62–65). World Book Company.
Kercood, S., & Grskovic, J. A. (2009). The effects of highlighting on the math computation performance and off-task behavior of students with attention problems. Education and Treatment of Children, 32(2), 231–241. https://doi.org/10.1353/etc.0.0058
Kertz, S. J., Belden, A. C., Tillman, R., & Luby, J. (2016). Cognitive control deficits in shifting and inhibition in preschool age children are associated with increased depression and anxiety over 7.5 years of development. Journal of Abnormal Child Psychology, 44(6), 1185–1196. https://doi.org/10.1007/s10802-015-0101-0
Keshavan, M. S., Vinogradov, S., Rumsey, J., Sherrill, J., & Wagner, A. (2014). Cognitive training in mental disorders: Update and future directions. American Journal of Psychiatry, 171(5), 510–522. https://doi.org/10.1176/appi.ajp.2013.13081075
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62(6), 593–602. https://doi.org/10.1001/archpsyc.62.6.593
Khoury, B., Lecomte, T., Fortin, G., Masse, M., Therien, P., Bouchard, V., Chapleau, M.-A., Paquin, K., & Hofmann, S. G. (2013). Mindfulness-based therapy: A comprehensive meta-analysis. Clinical Psychology Review, 33(6), 763–771. https://doi.org/10.1016/j.cpr.2013.05.005
Kirchner, W. K. (1958). Age differences in short-term retention of rapidly changing information. Journal of Experimental Psychology, 55(4), 352-358. https://doi.org/10.1037/h0043688
Kleider, H. M., & Parrott, D. J. (2009). Aggressive shooting behavior: How working memory and threat influence shoot decisions. Journal of Research in Personality, 43(3), 494–497. https://doi.org/10.1016/j.jrp.2008.12.007
Kleider, H. M., Parrott, D. J., & King, T. Z. (2009). Shooting behaviour: How working memory and negative emotionality influence police officer shoot decisions. Applied Cognitive Psychology, 24(5), 707–717. https://doi.org/10.1002/acp.1580
Kleider-Offutt, H. M., Clevinger, A. M., & Bond, A. D. (2016). Working memory and cognitive load in the legal system: Influences on police shooting decisions, interrogation and jury decisions. Journal of Applied Research in Memory and Cognition, 5(4), 426–433. https://doi.org/10.1016/j.jarmac.2016.04.008
Klein, K., & Boals, A. (2001). The relationship of life event stress and working memory capacity. Applied Cognitive Psychology, 15(5), 565–579. https://doi.org/10.1002/acp.727
Klein, C., Fischer, B., Jr., Fischer, B., & Hartnegg, K. (2002). Effects of methylphenidate on saccadic responses in patients with ADHD. Experimental Brain Research, 145(1), 121–125. https://doi.org/10.1007/s00221-002-1105-x
Kleineidam, L., Frommann, I., Ruhrmann, S., Klosterkötter, J., Brockhaus-Dumke, A., Wölwer, W., ... Ettinger, U. (2019). Antisaccade and prosaccade eye movements in individuals clinically at risk for psychosis: Comparison with first-episode schizophrenia and prediction of conversion. European Archives of Psychiatry and Clinical Neuroscience, 269(8), 921–930. https://doi.org/10.1007/s00406-018-0973-4
Klingberg, T., Forssberg, H., & Westerberg, H. (2002). Training of working memory in children with ADHD. Journal of Clinical and Experimental Neuropsychology, 24(6), 781–791. https://doi.org/10.1076/jcen.24.6.781.8395
König, C. J., Bühner, M., & Mürling, G. (2005). Working memory, fluid intelligence, and attention are predictors of multitasking performance, but polychronicity and extraversion are not. Human Performance, 18(3), 243–266. https://doi.org/10.1207/s15327043hup1803_3
Koster, E. H., Hoorelbeke, K., Onraedt, T., Owens, M., & Derakshan, N. (2017). Cognitive control interventions for depression: A systematic review of findings from training studies. Clinical Psychology Review, 53, 79–92. https://doi.org/10.1016/j.cpr.2017.02.002
Kovacs, K., & Conway, A. R. A. (2016). Process overlap theory: A unified account of the general factor of intelligence. Psychological Inquiry, 27(3), 151–177. https://doi.org/10.1080/1047840X.2016.1153946
Kovacs, M., & Devlin, B. (1998). Internalizing disorders in childhood. The Journal of Child Psychology and Psychiatry and Allied Disciplines, 39(1), 47–63. https://doi.org/10.1017/S0021963097001765
Kramer, A. F., Humphrey, D. G., Larish, J. F., Logan, G. D., & Strayer, D. L. (1994). Aging and inhibition: Beyond a unitary view of inhibitory processing in attention. Psychology and Aging, 9(4), 491–512. https://doi.org/10.1037/0882-7974.9.4.491
Kremen, W. S., Koenen, K. C., Boake, C., Purcell, S., Eisen, S. A., Franz, C. E., Tsuang, M. T., & Lyons, M. J. (2007). Pretrauma cognitive ability and risk for posttraumatic stress disorder. Archives of General Psychiatry, 64(3), 361–368. https://doi.org/10.1001/archpsyc.64.3.361
Kruijt, A.-W., Parsons, S., & Fox, E. (2019). A meta-analysis of bias at baseline in RCTs of attention bias modification: No evidence for dot-probe bias towards threat in clinical anxiety and PTSD. Journal of Abnormal Psychology, 128(6), 563–573. https://doi.org/10.1037/abn0000406
Kuder, G. F., & Richardson, M. W. (1937). The theory of the estimation of test reliability. Psychometrika, 2(3), 151–160. https://doi.org/10.1007/BF02288391
Kuncel, N. R., Hezlett, S. A., & Ones, D. S. (2004). Academic performance, career potential, creativity, and job performance: Can one construct predict them all? Journal of Personality and Social Psychology, 86(1), 148–161. https://doi.org/10.1037/0022-3514.86.1.148
Kyllonen, P. C. (2002). g: Knowledge, speed, strategies, or working-memory capacity? A systems perspective. In R. J. Sternberg & E. L. Grigorenko (Eds.), The general factor of intelligence: How general is it? (pp. 427–458). Erlbaum. https://doi.org/10.4324/9781410613165-26
Kyllonen, P. C., & Christal, R. E. (1990). Reasoning ability is (little more than) working memory capacity?! Intelligence, 14(4), 389–433. https://doi.org/10.1016/S0160-2896(05)80012-1
Lachman, R., Lachman, J. L., & Butterfield, E. C. (1979). Cognitive psychology and information processing: An introduction. Psychology Press.
Larson, G. E., & Saccuzzo, D. P. (1989). Cognitive correlates of general intelligence: Toward a process theory of g. Intelligence, 13(1), 5–31. https://doi.org/10.1016/0160-2896(89)90003-2
Latorella, K. A. (1996). Investigating interruptions: An example from the flightdeck. Proceedings of the Human factors and Ergonomics Society Annual Meeting, 40(4), 249–253. https://doi.org/10.1177/154193129604000423
Lawrence, N. S., O'Sullivan, J., Parslow, D., Javaid, M., Adams, R. C., Chambers, C. D., Kos, K., & Verbruggen, F. (2015). Training response inhibition to food is associated with weight loss and reduced energy intake. Appetite, 95, 17–28. https://doi.org/10.1016/j.appet.2015.06.009
Leding, J. K. (2012). Working memory predicts the rejection of false memories. Memory, 20(3), 217–223. https://doi.org/10.1080/09658211.2011.653373
Leek M. R. (2001). Adaptive procedures in psychophysical research. Perception & Psychophysics, 63(8), 1279–1292. https://doi.org/10.3758/bf03194543
Lemonaki, R., Xanthopoulou, D., Bardos, A. N., Karademas, E. C., & Simos, P. G. (2021). Burnout and job performance: a two-wave study on the mediating role of employee cognitive functioning. European Journal of Work and Organizational Psychology. Advance online publication. https://doi.org/10.1080/1359432X.2021.1892818
Lesh, T. A., Niendam, T. A., Minzenberg, M. J., & Carter, C. S. (2011). Cognitive control deficits in schizophrenia: mechanisms and meaning. Neuropsychopharmacology, 36(1), 316–338.
Leskin, L. P., & White, P. M. (2007). Attentional networks reveal executive function deficits in posttraumatic stress disorder. Neuropsychology, 21(3), 275–284. https://doi.org/10.1037/0894-4105.21.3.275
Levens, S. M., & Gotlib, I. H. (2015). Updating emotional content in recovered depressed individuals: Evaluating deficits in emotion processing following a depressive episode. Journal of Behavior Therapy and Experimental Psychiatry, 48, 156–163. https://doi.org/10.1016/j.jbtep.2015.03.009
Levulis, S. J., DeLucia, P. R., & Kim, S. Y. (2018). Effects of touch, voice, and multimodal input, and task load on multiple-UAV monitoring performance during simulated manned-unmanned teaming in a military helicopter. Human Factors, 60(8), 1117–1129. https://doi.org/10.1177/0018720818788995
Lewis-Peacock, J. A., & Postle, B. R. (2008). Temporary activation of long-term memory supports working memory. The Journal of Neuroscience, 28(35), 8765–8771. https://doi.org/10.1523/JNEUROSCI.1953-08.2008
Liang, C. W. (2021). Inhibitory attentional control under cognitive load in social anxiety: An investigation using a novel dual-task paradigm. Behaviour Research and Therapy, 144, 103925. https://doi.org/10.1016/j.brat.2021.103925
Liesefeld, H. R., & Janczyk, M. (2019). Combining speed and accuracy to control for speed accuracy trade-offs(?). Behavior Research Methods, 51(1), 40–60. https://doi.org/10.3758/s13428-018-1076-x
Löffler, C., Frischkorn, G. T., Rummel, J., Hagemann, D., & Schubert, A. (2021, July 21). Do attentional lapses account for the worst performance rule? PsyArXiv. https://doi.org/10.31234/osf.io/tdrn8
Lopez, N., Previc, F. H., Fischer, J., Heitz, R. P., & Engle, R. W. (2012). Effects of sleep deprivation on cognitive performance by United States Air Force pilots. Journal of Applied Research in Memory and Cognition, 1(1), 27–33. https://doi.org/10.1016/j.jarmac.2011.10.002
Lord, F. M. (1956). The measurement of growth. ETS Research Bulletin Series, 1956(1), i–22. https://doi.org/10.1002/j.2333-8504.1956.tb00058.x
Louie, J. F., & Mouloua, M. (2019). Predicting distracted driving: The role of individual differences in working memory. Applied Ergonomics, 74, 154–161. https://doi.org/10.1016/j.apergo.2018.07.004
Luce, R. D. (1986). Response times: Their role in inferring elementary mental organization. Oxford University Press
Luck, S. J., & Vogel, E. K. (1997). The capacity of visual working memory for features and conjunctions. Nature, 390(6657), 279–281. https://doi.org/10.1038/36846
Mackintosh, N. J., & Bennett, E. S. (2003). The fractionation of working memory maps onto different components of intelligence. Intelligence, 31(6), 519–531. https://doi.org/10.1016/S0160-2896(03)00052-7
Macklin, M. L., Metzger, L. J., Litz, B. T., McNally, R. J., Lasko, N. B., Orr, S. P., & Pitman, R. K. (1998). Lower precombat intelligence is a risk factor for posttraumatic stress disorder. Journal of Consulting and Clinical Psychology, 66(2), 323–326. https://doi.org/10.1037/0022-006X.66.2.323
MacLeod, C. M. (1991). Half a century of research on the Stroop effect: An integrative review. Psychological Bulletin, 109(2), 163–203. https://doi.org/10.1037/0033-2909.109.2.163
MacLeod, C., Rutherford, E., Campbell, L., Ebsworthy, G., & Holker, L. (2002). Selective attention and emotional vulnerability: Assessing the causal basis of their association through the experimental manipulation of attentional bias. Journal of Abnormal Psychology, 111(1), 107–123. https://doi.org/10.1037/0021-843X.111.1.107
Maldonado, T., Marchak, F. M., Anderson, D. M., & Hutchison, K. A. (2018). The role of working memory capacity and cognitive load in producing lies for autobiographical information. Journal of Applied Research in Memory and Cognition, 7(4), 574–586. https://doi.org/10.1016/j.jarmac.2018.05.007
Malsert, J., Guyader, N., Chauvin, A., Polosan, M., Poulet, E., Szekely, D., ... Marendaz, C. (2012). Antisaccades as a follow-up tool in major depressive disorder therapies: A pilot study. Psychiatry Research, 200(2-3), 1051–1053. https://doi.org/10.1016/j.psychres.2012.05.007
Mäntylä, T., Karlsson, M. J., & Marklund, M. (2009). Executive control functions in simulated driving. Applied Neuropsychology, 16(1), 11–18. https://doi.org/10.1080/09084280802644086
Martin, J. D., Mashburn, C. A., & Engle, R. W. (2020). Improving the validity of the Armed Service Vocational Aptitude Battery with measures of attention control. Journal of Applied Research in Memory and Cognition, 9(3), 323–335. https://doi.org/10.1016/j.jarmac.2020.04.002
Martin, J. D., Tsukahara, J. S., Draheim, C., Shipstead, Z., Mashburn, C. A., Vogel, E. K., & Engle, R. W. (2021). The visual arrays task: Visual storage capacity or attention control? Journal of Experimental Psychology: General. Advance online publication. https://doi.org/10.1037/xge0001048
Mashburn, C. M., Tsukahara, J. T., & Engle, R. W. (2020). Individual differences in attention control: Implications for the relationship between working memory capacity and fluid intelligence. In R. Logie, V. Camos & N. Cowan (Eds.), Working memory: The state of the science (pp. 175–211). Oxford University Press. https://doi.org/10.1093/oso/9780198842286.003.0007
Masters, R., & Maxwell, J. (2008). The theory of reinvestment. International Review of Sport and Exercise Psychology, 1(2), 160–183. https://doi.org/10.1080/17509840802287218
Mataix-Cols, D., Fernández de la Cruz, L., Monzani, B., Rosenfield, D., Andersson, E., Pérez-Vigil, A., Frumento, P., de Kleine, R. A., Difede, J., Dunlop, B. W., Farrell, L. J., Geller, D., Gerardi, M., Guastella, A. J., Hofmann, S. G., Hendriks, G.-J., Kushner, M. G., Lee, F. S., Lenze, E. J., & DCS Anxiety Consortium. (2017). D-cycloserine augmentation of exposure-based cognitive behavior therapy for anxiety, obsessive-compulsive, and posttraumatic stress disorders: A systematic review and meta-analysis of individual participant data. JAMA Psychiatry, 74(5), 501–510. https://doi.org/10.1001/jamapsychiatry.2016.3955
Mathews, A., & MacLeod, C. (2005). Cognitive vulnerability to emotional disorders. Annual Review of Clinical Psychology, 1, 167–195. https://doi.org/10.1146/annurev.clinpsy.1.102803.143916
McAuley, T., Crosbie, J., Charach, A., & Schachar, R. (2014). The persistence of cognitive deficits in remitted and unremitted ADHD: A case for the state-independence of response inhibition. Journal of Child Psychology and Psychiatry, 55(3), 292–300. https://doi.org/10.1111/jcpp.12160
McBee, M. (2010). Modeling outcomes with floor or ceiling effects: An introduction to the Tobit model. Gifted Child Quarterly, 54(4), 314–320. https://doi.org/10.1177/0016986210379095
McCabe, D. P. (2008). The role of covert retrieval in working memory span tasks: Evidence from delayed recall tests. Journal of Memory and Language, 58(2), 480–494. https://doi.org/10.1016/j.jml.2007.04.004
McCabe, D. P., Roediger, H. L., III, McDaniel, M. A., Balota, D. A., & Hambrick, D. Z. (2010). The relationship between working memory capacity and executive functioning: evidence for a common executive attention construct. Neuropsychology, 24(2), 222–243. https://doi.org/10.1037/a0017619
McFarlane, A. C. (2000). Posttraumatic stress disorder: A model of the longitudinal course and the role of risk factors. Journal of Clinical Psychiatry, 61, 15–23.
McGrew, K. S., & Woodcock, R. W. (2001). Woodcock-Johnson III technical manual. Riverside Publishing.
McKendrick, R., Shaw, T., de Visser, E., Saqer, H., Kidwell, B., & Parasuraman, R. (2014). Team performance in networked supervisory control of unmanned air vehicles: effects of automation, working memory, and communication content. Human Factors, 56(3), 463- 475. https://doi.org/10.1177/0018720813496269
McNamara, D. S., & Scott, J. L. (2001). Working memory capacity and strategy use. Memory & Cognition, 29(1), 10–17. https://doi.org/10.3758/BF03195736
McVay, J. C., & Kane, M. J. (2009). Conducting the train of thought: working memory capacity, goal neglect, and mind wandering in an executive-control task. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35(1), 196–204. https://doi.org/10.1037/a0014104
McVay, J. C., & Kane, M. J. (2012a). Why does working memory capacity predict variation in reading comprehension? On the influence of mind wandering and executive attention. Journal of Experimental Psychology: General, 141(2), 302–320. https://doi.org/10.1037/a0025250
McVay, J. C., & Kane, M. J. (2012b). Drifting from slow to "D'oh!": Working memory capacity and mind wandering predict extreme reaction times and executive control errors. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38(3), 525–549. https://doi.org/10.1037/a0025896
Melby-Lervåg, M., & Hulme, C. (2013). Is working memory training effective? A meta-analytic review. Developmental Psychology, 49(2), 270–291. https://doi.org/10.1037/a0028228
Melby-Lervåg, M., Redick, T. S., & Hulme, C. (2016). Working memory training does not improve performance on measures of intelligence or other measures of “far transfer” evidence from a meta-analytic review. Perspectives on Psychological Science, 11(4), 512–534. https://doi.org/10.1177/1745691616635612
Merens, W., Booij, L., & Van Der Does, A. W. (2008). Residual cognitive impairments in remitted depressed patients. Depression and Anxiety, 25(6), E27–E36. https://doi.org/10.1002/da.20391
Metzger, I. W., Anderson, R. E., Are, F., & Ritchwood, T. (2021). Healing interpersonal and racial trauma: Integrating racial socialization into trauma-focused cognitive behavioral therapy for African American youth. Child Maltreatment, 26(1), 17–27. https://doi.org/10.1177/1077559520921457
Meyer, I. H. (2003). Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: conceptual issues and research evidence. Psychological Bulletin, 129(5), 674–697. https://doi.org/10.1037/0033-2909.129.5.674
Mika, A., Mazur, G. J., Hoffman, A. N., Talboom, J. S., Bimonte-Nelson, H. A., Sanabria, F., & Conrad, C. D. (2012). Chronic stress impairs prefrontal cortex-dependent response inhibition and spatial working memory. Behavioral Neuroscience, 126(5), 605–619. https://doi.org/10.1037/a0029642
Miller, G. A. (1956). The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological Review, 63(2), 81–97. https://doi.org/10.1037/h0043158
Miller, J., & Ulrich, R. (2013). Mental chronometry and individual differences: Modeling reliabilities and correlations of reaction time means and effect sizes. Psychonomic Bulletin & Review, 20(5), 819–858. https://doi.org/10.3758/s13423-013-0404-5
Miller, G. A., Galanter, E., & Pribram, K. H. (1960). Plans and the structure of behavior. Holt, Rinehart and Winston, Inc. https://doi.org/10.1002/cne.901150208
Miller, K. M., Price, C. C., Okun, M. S., Montijo, H., & Bowers, D. (2009). Is the n-back task a valid neuropsychological measure for assessing working memory? Archives of Clinical Neuropsychology, 24(7), 711–717. https://doi.org/10.1093/arclin/acp063
Mineka, S., & Zinbarg, R. (2006). A contemporary learning theory perspective on the etiology of anxiety disorders: It's not what you thought it was. American Psychologist, 61(1), 10–26. https://doi.org/10.1037/0003-066X.61.1.10
Minshew, N. J., Luna, B., & Sweeney, J. A. (1999). Oculomotor evidence for neocortical systems but not cerebellar dysfunction in autism. Neurology, 52(5), 917–922. https://doi.org/10.1212/WNL.52.5.917
Mirhoseini, S., Hassanein, K., Head, M., Watter, S. (2020). User performance in the face of IT interruptions: The role of executive functions. In: F. D. Davis, R. Riedl, J vom Brocke, P.-M. Léger, A. Randolph, & T. Fischer, (Eds.), Information systems and neuroscience (pp. 41–51). Springer International Publishing. https://doi.org/10.1007/978-3-030-28144-1_5
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49–100. https://doi.org/10.1006/cogp.1999.0734
Mogg, K., & Bradley, B. P. (2016). Anxiety and attention to threat: Cognitive mechanisms and treatment with attention bias modification. Behaviour Research and Therapy, 87, 76–108. https://doi.org/10.1016/j.brat.2016.08.001
Mogle, J. A., Lovett, B. J., Stawski, R. S., & Sliwinski, M. J. (2008). What's so special about working memory? An examination of the relationships among working memory, secondary memory, and fluid intelligence. Psychological Science, 19(11), 1071–1077. https://doi.org/10.1111/j.1467-9280.2008.02202.x
Mogoaşe, C., David, D., & Koster, E. H. W. (2014). Clinical efficacy of attentional bias modification procedures: An updated meta-analysis. Journal of Clinical Psychology, 70(12), 1133–1157. https://doi.org/10.1002/jclp.22081
Mohapatra, B., & Laures-Gore, J. (2021). Moving toward accurate assessment of working memory in adults with neurogenically based communication disorders. American Journal of Speech-Language Pathology, 30(2), 1292–1300. https://doi.org/10.1044/2021_AJSLP-20-00305
Moore, A. B., Clark, B. A., & Kane, M. J. (2008). Who shalt not kill? Individual differences in working memory capacity, executive control, and moral judgment. Psychological Science, 19(6), 549–557. https://doi.org/10.1111/j.1467-9280.2008.02122.x
Mor, N., & Daches, S. (2015). Ruminative thinking: Lessons learned from cognitive training. Clinical Psychological Science, 3(4), 574–592. https://doi.org/10.1177/2167702615578130
Moran, T. P. (2016). Anxiety and working memory capacity: A meta-analysis and narrative review. Psychological Bulletin, 142(8), 831–864. https://doi.org/10.1037/bul0000051
Mosier, K. L., & Skitka, L. J. (1999). Automation Use and Automation Bias. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 43(3), 344–348. https://doi.org/10.1177/154193129904300346
Motter, J. N., Pimontel, M. A., Rindskopf, D., Devanand, D. P., Doraiswamy, P. M., & Sneed, J. R. (2016). Computerized cognitive training and functional recovery in major depressive disorder: A meta-analysis. Journal of Affective Disorders, 189, 184–191. https://doi.org/10.1016/j.jad.2015.09.022
Mullins-Sweatt, S. N., DeShong, H. L., Lengel, G. J., Helle, A. C., & Krueger, R. F. (2019). Disinhibition as a unifying construct in understanding how personality dispositions undergird psychopathology. Journal of Research in Personality, 80, 55–61. https://doi.org/10.1016/j.jrp.2019.04.006
Nelson, L. C. (2003). Working memory, general intelligence, and job performance (Publication No. 3076329) [Doctoral dissertation, University of Minnesota]. ProQuest Dissertations Publishing.
Newman, D. A., & Lyon, J. S. (2009). Recruitment efforts to reduce adverse impact: Targeted recruiting for personality, cognitive ability, and diversity. Journal of Applied Psychology, 94(2), 298-317. https://doi.org/10.1037/a0013472
Nieman, D., Becker, H., van de Fliert, R., Plat, N., Bour, L., Koelman, H., ... Linszen, D. (2007). Antisaccade task performance in patients at ultra high risk for developing psychosis. Schizophrenia Research, 95(1/3), 54–60. https://doi.org/10.1016/j.schres.2007.06.022
Nigg, J. T., Gustafsson, H. C., Karalunas, S. L., Ryabinin, P., McWeeney, S. K., Faraone, S. V., Mooney, M. A., Fair, D. A., & Wilmot, B. (2018). Working memory and vigilance as multivariate endophenotypes related to common genetic risk for attention-deficit/hyperactivity disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 57(3), 175–182. https://doi.org/10.1016/j.jaac.2017.12.013
Nikolin, S., Tan, Y. Y., Schwaab, A., Moffa, A., Loo, C. K., & Martin, D. (2021). An investigation of working memory deficits in depression using the n-back task: A systematic review and meta-analysis. Journal of Affective Disorders, 284, 1–8. https://doi.org/10.1016/j.jad.2021.01.084
Nolen-Hoeksema, S., & Watkins, E. R. (2011). A heuristic for developing transdiagnostic models of psychopathology: Explaining multifinality and divergent trajectories. Perspectives on Psychological Science, 6(6), 589–609. https://doi.org/10.1177/1745691611419672
Nolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008). Rethinking rumination. Perspectives on Psychological Science, 3(5), 400–424. https://doi.org/10.1111/j.1745-6924.2008.00088.x
Norman, D. A., & Shallice, T. (1986). Attention to action: Willed and automatic control of behavior. In R. J. Davidson, G. E. Schwartz, & D. Shapiro (Eds.), Consciousness and self-regulation (Vol. 4, pp. 1–18). Plenum.
Nunnally, J. C. (1964). Educational measurement and evaluation. McGraw-Hill.
Nwafor, C., & Adesuwa, A. (2014). Psychological testing and assessment in the military. Practicum Psychologia, 4, 1–10.
Oberauer, K. (2002). Access to information in working memory: Exploring the focus of attention. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28(3), 411–421. https://doi.org/10.1037/0278-7393.28.3.411
Oberauer, K. (2005). The measurement of working memory capacity. In O. Wilhelm & R. W. Engle (Eds.), Handbook of understanding and measuring intelligence (pp. 393–408). SAGE. https://doi.org/10.4135/9781452233529.n22
Oberauer, K., Süß, H. M., Schulze, R., Wilhelm, O., & Wittmann, W. W. (2000). Working memory capacity-facets of a cognitive ability construct. Personality and Individual Differences, 29(6), 1017–1045. https://doi.org/10.1037/0033-2909.131.1.61
Oberauer, K., Schulze, R., Wilhelm, O., & Süß, H.M. (2005). Working memory and intelligence-their correlation and their relation: Comment on Ackerman, Beier, and Boyle (2005). Psychological Bulletin, 131(1), 66–71.
Ochsner, K. N., & Gross, J. J. (2005). The cognitive control of emotion. Trends in Cognitive Sciences, 9(5), 242-249. https://doi.org/10.1016/j.tics.2005.03.010
O'Driscoll, G. A., Dépatie, L., Holahan, A.-L. V., Savion-Lemieux, T., Barr, R. G., Jolicoeur, C., & Douglas, V. I. (2005). Executive functions and methylphenidate response in subtypes of attention-deficit/hyperactivity disorder. Biological Psychiatry, 57(11), 1452–1460. https://doi.org/10.1016/j.biopsych.2005.02.029
Oei, N. Y. L., Everaerd, W. T. A. M., Elzinga, B. M., van Well, S., & Bermond, B. (2006). Psychosocial stress impairs working memory at high loads: An association with cortisol levels and memory retrieval. Stress: The International Journal on the Biology of Stress, 9, 133–141. https://doi.org/10.1080/10253890600965773
Okazaki, S., & Sue, S. (1995). Methodological issues in assessment research with ethnic minorities. Psychological Assessment 7(3), 367–375. https://doi.org/10.1037/1040-3590.7.3.367
O'Shea, D. M., Davis, J. D., & Tremont, G. (2021). Verbal memory is associated with adherence to COVID-19 protective behaviors in community dwelling older adults. Aging Clinical and Experimental Research, 33(7), 2043–2051. https://doi.org/10.1007/s40520-021-01905-z
Outtz, J. L., & Newman, D. A. (2010). A theory of adverse impact. In J. L. Outtz (Ed.) Adverse impact: Implications for organizational staffing and high stakes testing (pp. 53–94). Routledge/Taylor & Francis Group.
Overall, J. E., & Woodward, J. A. (1975). Unreliability of difference scores: A paradox for measurement of change. Psychological Bulletin, 82(1), 85–86. https://doi.org/10.1037/h0076158
Owens, M., Stevenson, J., Norgate, R., & Hadwin, J. A. (2008). Processing efficiency theory in children: Working memory as a mediator between trait anxiety and academic performance. Anxiety, Stress, & Coping, 21(4), 417–430. https://doi.org/10.1080/10615800701847823
Paap, K. R., & Sawi, O. (2016). The role of test-retest reliability in measuring individual and group differences in executive functioning. Journal of Neuroscience Methods, 274, 81–93. https://doi.org/10.1016/j.jneumeth.2016.10.002
Paas, F. G. W. C. (1992). Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive-load approach. Journal of Educational Psychology, 84(4), 429–434. https://doi.org/10.1037/0022-0663.84.4.429
Paelecke-Habermann, Y., Pohl, J., & Leplow, B. (2005). Attention and executive functions in remitted major depression patients. Journal of Affective Disorders, 89(1/3), 125–135. https://doi.org/10.1016/j.jad.2005.09.006
Pak, R., McLaughlin, A. C., Leidheiser, W., & Rovira, E. (2017). The effect of individual differences in working memory in older adults on performance with different degrees of automated technology. Ergonomics, 60(4), 518–532. https://doi.org/10.1080/00140139.2016.1189599
Panza, G. A., Puhl, R. M., Taylor, B. A., Zaleski, A. L., Livingston, J., & Pescatello, L. S. (2019). Links between discrimination and cardiovascular health among socially stigmatized groups: A systematic review. PLOS ONE, 14(6), e0217623. https://doi.org/10.1371/journal.pone.0217623
Parasuraman, R., de Visser, E., Lin, M.-K., & Greenwood, P. M. (2012). Dopamine beta hydroxylase genotype identifies individuals less susceptible to bias in computer-assisted decision-making. PLOS ONE, 7(6), e39675. https://doi.org/10.1371/journal.pone.0039675
Parsons, S., Kruijt, A. W., & Fox, E. (2019). Psychological science needs a standard practice of reporting the reliability of cognitive-behavioral measurements. Advances in Methods and Practices in Psychological Science, 2(4), 378–395. https://doi.org/10.1177/2515245919879695
Passolunghi, M. C., & Siegel, L. S. (2001). Short-term memory, working memory, and inhibitory control in children with difficulties in arithmetic problem solving. Journal of Experimental Child Psychology, 80(1), 44–57. https://doi.org/10.1006/jecp.2000.2626
Passolunghi, M. C., Cornoldi, C., & De Liberto, S. (1999). Working memory and intrusions of irrelevant information in a group of specific poor problem solvers. Memory & Cognition, 27(5), 779–790. https://doi.org/10.3758/BF03198531
Pe, M. L., Brose, A., Gotlib, I. H., & Kuppens, P. (2016). Affective updating ability and stressful events interact to prospectively predict increases in depressive symptoms over time. Emotion, 16(1), 73–82. https://doi.org/10.1037/emo0000097
Pergamin-Hight, L., Naim, R., Bakermans-Kranenburg, M. J., van IJzendoorn, M. H., & Bar-Haim, Y. (2015). Content specificity of attention bias to threat in anxiety disorders: A meta-analysis. Clinical Psychology Review, 35, 10–18. https://doi.org/10.1016/j.cpr.2014.10.005
Peters, M. J. V., Jelicic, M., Verbeek, H., & Merckelbach, H. (2007). Poor working memory predicts false memories. European Journal of Cognitive Psychology, 19(2), 231–232. https://doi.org/10.1080/09541440600760396
Philippot, P., & Brutoux, F. (2008). Induced rumination dampens executive processes in dysphoric young adults. Journal of Behavior Therapy and Experimental Psychiatry, 39(3), 219–227. https://doi.org/10.1016/j.jbtep.2007.07.001
Ployhart, R. E., & Holtz, B. C. (2008). The diversity–validity dilemma: Strategies for reducing racioethnic and sex subgroup differences and adverse impact in selection. Personnel Psychology, 61(1), 153–172. https://doi.org/10.1111/j.1744-6570.2008.00109.x
Polderman, T. J., Boomsma, D. I., Bartels, M., Verhulst, F. C., & Huizink, A. C. (2010). A systematic review of prospective studies on attention problems and academic achievement. Acta Psychiatrica Scandinavica, 122(4), 271–284. https://doi.org/10.1111/j.1600-0447.2010.01568.x
Pollack, I., Johnson, I. B., & Knaff, P. R. (1959). Running memory span. Journal of Experimental Psychology, 57(3), 137–146. https://doi.org/10.1037/h0046137
Porter, L., Bailey-Jones, C., Priudokaite, G., Allen, S., Wood, K., Stiles, K., Parvin, O., Javaid, M., Verbruggen, F., & Lawrence, N. S. (2018). From cookies to carrots; the effect of inhibitory control training on children's snack selections. Appetite, 124, 111–123. https://doi.org/10.1016/j.appet.2017.05.010
Porter, L., Gillison, F. B., Wright, K. A., Verbruggen, F., & Lawrence, N. S. (2021). Exploring strategies to optimise the impact of food-specific inhibition training on children’s food choices. Frontiers in Psychology, 12, 653610. https://doi.org/10.3389/fpsyg.2021.653610
Posner, M. I., & Snyder, C. R. R. (2004). Attention and cognitive control. In D. A. Balota & E. J. Marsh (Eds.), Cognitive psychology: Key readings (pp. 205–223). Psychology Press.
Power, M. J., Dalgleish, T., Claudio, V., Tata, P., & Kentish, J. (2000). The directed forgetting task: Application to emotionally valent material. Journal of Affective Disorders, 57(1/3), 147–157. https://doi.org/10.1016/S0165-0327(99)00084-1
Pozuelos, J. P., Combita, L. M., Abundis, A., Paz-Alonso, P. M., Conejero, Á., Guerra, S., & Rueda, M. R. (2019). Metacognitive scaffolding boosts cognitive and neural benefits following executive attention training in children. Developmental Science, 22(2), e12756. https://doi.org/10.1111/desc.12756
Preacher, K. J., Rucker, D. D., MacCallum, R. C., & Nicewander, W. A. (2005). Use of the extreme groups approach: A critical reexamination and new recommendations. Psychological Methods, 10(2), 178–192.
Pulakos, E. D., & Schmitt, N. (1996). An evaluation of two strategies for reducing adverse impact and their effects on criterion-related validity. Human Performance, 9(3), 241–258. https://doi.org/10.1207/s15327043hup0903_4
Qin, S., Hermans, E. J., van Marle, H. J. F., Luo, J., & Fernández, G. (2009). Acute psychological stress reduces working memory-related activity in the dorsolateral prefrontal cortex. Biological Psychiatry, 66, 25–32. https://doi.org/10.1016/j.biopsych.2009.03.006
Quigley, L., Wen, A., & Dobson, K. S. (2020). Cognitive control over emotional information in current and remitted depression. Behaviour Research and Therapy, 132(103658). https://doi.org/10.1016/j.brat.2020.103658
Radant, A. D., Dobie, D. J., Calkins, M. E., Olincy, A., Braff, D. L., Cadenhead, K. S., Freedman, R., Green, M. F., Greenwood, T. A., Gur, R. E., Light, G. A., Meichle, S. P., Mintz, J., Nuechterlein, K. H., Schork, N. J., Seidman, L. J., Siever, L. J., Silverman, J. M., Stone, W. S., ... Tsuang, D. W. (2007). Successful multi-site measurement of antisaccade performance deficits in schizophrenia. Schizophrenia Research, 89(1/3), 320–329. https://doi.org/10.1016/j.schres.2006.08.010
Rapee, R. M. (1993). The utilisation of working memory by worry. Behaviour Research and Therapy, 31, 617–620. https://doi.org/10.1016/0005-7967(93)90114-A
Redick, T. S., & Lindsey, D. R. (2013). Complex span and n-back measures of working memory: A meta-analysis. Psychonomic Bulletin & Review, 20(6), 1102–1113. https://doi.org/10.3758/s13423-013-0453-9
Redick, T. S., Shipstead, Z., Meier, M. E., Montroy, J. J., Hicks, K. L., Unsworth, N., Kane, M. J., Hambrick, D. Z., & Engle, R. W. (2016). Cognitive predictors of a common multitasking ability: Contributions from working memory, attention control, and fluid intelligence. Journal of Experimental Psychology: General, 145(11), 1473–1492. https://doi.org/10.1037/xge0000219
Redick, T. S., Wiemers, E. A., & Engle, R. W. (2019). The role of proactive interference in working memory training and transfer. Psychological Research, 84(6), 1635–1654. https://doi.org/10.1007/s00426-019-01172-8
Ree, M. J., & Earles, J. A. (1992). Intelligence is the best predictor of job performance. Current Directions in Psychological Science, 1(3), 86–89. https://doi.org/10.1111/1467-8721.ep10768746
Reid, N. (2009). Working memory and science education: conclusions and implications. Research in Science & Technological Education, 27(2), 245–250. https://doi.org/10.1080/02635140902853681
Reinholdt-Dunne, M. L., Mogg, K., Benson, V., Bradley, B. P., Hardin, M. G., Liversedge, S. P., Pine, D. S., & Ernst, M. (2012). Anxiety and selective attention to angry faces: An antisaccade study. Journal of Cognitive Psychology, 24(1), 54–65. https://doi.org/10.1080/20445911.2011.560111
Rey-Mermet, A., Gade, M., & Oberauer, K. (2018). Should we stop thinking about inhibition? Searching for individual and age differences in inhibition ability. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44(4), 501–526. https://doi.org/10.1037/xlm0000450
Rey-Mermet, A., Gade, M., Souza, A. S., Von Bastian, C. C., & Oberauer, K. (2019). Is executive control related to working memory capacity and fluid intelligence? Journal of Experimental Psychology: General, 148(8), 1335–1372. https://doi.org/10.1037/xge0000593
Rhoades, B. L., Warren, H. K., Domitrovich, C. E., & Greenberg, M. T. (2011). Examining the link between preschool social–emotional competence and first grade academic achievement: The role of attention skills. Early Childhood Research Quarterly, 26(2), 182–191. https://doi.org/10.1016/j.ecresq.2010.07.003
Roberts, R. D., Goff, G. N., Anjoul, F., Kyllonen, P. C., Pallier, G., & Stankov, L. (2000). The armed services vocational aptitude battery (ASVAB): Little more than acculturated learning (Gc)!? Learning and Individual Differences, 12(1), 81–103. https://doi.org/10.1016/S1041-6080(00)00035-2
Roberts, H., Watkins, E. R., & Wills, A. J. (2017). Does rumination cause “inhibitory” deficits? Psychopathology Review, 4(3), 341–376. https://doi.org/10.5127/pr.036914
Roberts, N. P., Kitchiner, N. J., Kenardy, J., Lewis, C. E., & Bisson, J. I. (2019). Early psychological intervention following recent trauma: A systematic review and meta-analysis. European Journal of Psychotraumatology, 10(1), 1695486. https://doi.org/10.1080/20008198.2019.1695486
Rodas, J. A., & Greene, C. (2021). Working memory training does not improve executive functioning or fluid intelligence. Quarterly Journal of Experimental Psychology. Advance online publication. https://doi.org/10.1177/17470218211039502
Rodman, A. M., Jenness, J. L., Weissman, D. G., Pine, D. S., & McLaughlin, K. A. (2020). Neurobiological markers of resilience to depression following childhood maltreatment: The role of neural circuits supporting the cognitive control of emotion. Biological Psychiatry, 86(6), 464–473. https://doi.org/10.1016/j.biopsych.2019.04.033
Roiser, J. P., Elliott, R., & Sahakian, B. J. (2012). Cognitive mechanisms of treatment in depression. Neuropsychopharmacology, 37(1), 117–136. https://doi.org/10.1038/npp.2011.183
Ronold, E. H., Joormann, J., & Hammar, Å. (2019). Facing recovery: Emotional bias in working memory, rumination, relapse, and recurrence of major depression; an experimental paradigm conducted five years after first episode of major depression. Applied Neuropsychology: Adult, 27(4), 299–310. https://doi.org/10.1080/23279095.2018.1550406
Rosen, V. M., & Engle, R. W. (1997). Forward and backward serial recall. Intelligence, 25(1), 37–47. https://doi.org/10.1016/S0160-2896(97)90006-4
Rosen, V. M., Bergeson, J. L., Putnam, K., Harwell, A., & Sunderland, T. (2002). Working memory and apolipoprotein E: What’s the connection? Neuropsychologia, 40(13), 2226–2233. https://doi.org/10.1016/S0028-3932(02)00132-X
Ross, V., Jongen, E., Brijs, T., Ruiter, R., Brijs, K., & Wets, G. (2015). The relation between cognitive control and risky driving in young novice drivers. Applied Neuropsychology. Adult, 22(1), 61–72. https://doi.org/10.1080/23279095.2013.838958
Roth, P. L., Bevier, C. A., Bobko, P., Switzer, F. S., III, & Tyler, P. (2001). Ethnic group differences in cognitive ability in employment and educational settings: A meta- analysis. Personnel Psychology, 54(2), 297–330. https://doi.org/10.1111/j.1744-6570.2001.tb00094.x
Rouder, J. N., & Haaf, J. M. (2019). A psychometrics of individual differences in experimental tasks. Psychonomic Bulletin & Review, 26(2), 452–467. https://doi.org/10.3758/s13423-018-1558-y
Rouder, J., Kumar, A., & Haaf, J. M. (2019, March 25). Why most studies of individual differences with inhibition tasks are bound to fail. PsyArXiv. https://doi.org/10.31234/osf.io/3cjr5
Rovira, E., Pak, R., & McLaughlin, A. (2017). Effects of individual differences in working memory on performance and trust with various degrees of automation. Theoretical Issues in Ergonomics Science, 18(6), 573–591. https://doi.org/10.1080/1463922X.2016.1252806
Ruchkin, D. S., Grafman, J., Cameron, K., & Berndt, R. S. (2003). Working memory retention systems: A state of activated long-term memory. Behavioral and Brain sciences, 26(6), 709–728. https://doi.org/10.1017/s0140525x03000165
Rueda, M. R. (2018). Attention in the heart of intelligence. Trends in Neuroscience and Education, 13, 26–33. https://doi.org/10.1016/j.tine.2018.11.003
Rueda, M. R., Rothbart, M. K., McCandliss, B. D., Saccomanno, L., & Posner, M. I. (2005). Training, maturation, and genetic influences on the development of executive attention. Proceedings of the National Academy of Sciences, 102(41), 14931-14936. https://doi.org/10.1073/pnas.0506897102
Rueda, M. R., Checa, P., & Cómbita, L. M. (2012). Enhanced efficiency of the executive attention network after training in preschool children: immediate changes and effects after two months. Developmental Cognitive Neuroscience, 2, S192-S204. https://doi.org/10.1016/j.dcn.2011.09.004
Ryan, C. L., & Siebens, J. (2012). Educational attainment in the United States: 2009. Population characteristics. Current Population Reports (pp. P20–566). U.S. Census Bureau.
Sabol, T. J., & Pianta, R. C. (2012). Patterns of school readiness forecast achievement and socioemotional development at the end of elementary school. Child Development, 83(1), 282–299. https://doi.org/10.1111/j.1467-8624.2011.01678.x
Salvatore, J., & Shelton, J. N. (2007). Cognitive costs of exposure to racial prejudice. Psychological Science, 18(9), 810–815. https://doi.org/10.1111/j.1467-9280.2007.01984.x
Saqer, H., & Parasuraman, R. (2014). Individual performance markers and working memory predict supervisory control proficiency and effective use of adaptive automation. International Journal of Human Factors and Ergonomics, 3(1), 15–31. https://doi.org/10.1504/IJHFE.2014.062548
Sattizahn, J. R., Moser, J. S., & Beilock, S. L. (2016). A closer look at who “chokes under pressure”. Journal of Applied Research in Memory and Cognition, 5(4), 470–477. https://doi.org/10.1016/j.jarmac.2016.11.004
Savage, R., Cornish, K., Manly, T., & Hollis, C. (2006). Cognitive processes in children's reading and attention: The role of working memory, divided attention, and response inhibition. British Journal of Psychology, 97(3), 365–385. https://doi.org/10.1348/000712605X81370
Schmader, T., & Johns, M. (2003). Converging evidence that stereotype threat reduces working memory capacity. Journal of Personality and Social Psychology, 85(3), 440–452. https://doi.org/10.1037/0022-3514.85.3.440
Schmeichel, B. J., & Tang, D. (2015). Individual differences in executive functioning and their relationship to emotional processes and responses. Current Directions in Psychological Science, 24(2), 93–98. https://doi.org/10.1177/0963721414555178
Schmeichel, B. J., Volokhov, R. N., & Demaree, H. A. (2008). Working memory capacity and the self-regulation of emotional expression and experience. Journal of Personality and Social Psychology, 95(6), 1526–1540. https://doi.org/10.1037/a0013345
Schmidt, F. L., & Hunter, J. E. (1998). The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings. Psychological Bulletin, 124(2), 262–274. https://doi.org/10.1037/0033-2909.124.2.262
Schmidt, F. L., Oh, I. S., & Shaffer, J. A. (2016). The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 100 years. https://home.ubalt.edu/tmitch/645/session%204/Schmidt%20&%20Oh%20validity%20ad%20util%20100%20yrs%20of%20research%20Wk%2PPR%202016.pdf
Schmitt, N., Rogers, W., Chan, D., Sheppard, L., & Jennings, D. (1997). Adverse impact and predictive efficiency of various predictor combinations. Journal of Applied Psychology, 82(5), 719-730. https://doi.org/10.1037/0021-9010.82.5.719
Schönbrodt, F. D., & Perugini, M. (2013). At what sample size do correlations stabilize? Journal of Research in Personality, 47(5), 609–612. https://doi.org/10.1016/j.jrp.2013.05.009
Schoofs, D., Preuss, D., & Wolf, O. T. (2008). Psychosocial stress induces working memory impairments in an n-back paradigm. Psychoneuroendocrinology, 33, 643–653. https://doi.org/10.1016/j.psyneuen.2008.02.004
Schuster, G. M., & Schmidt, W. J. (1992). D-cycloserine reverses the working memory impairment of hippocampal-lesioned rats in a spatial learning task. European Journal of Pharmacology, 224(1), 97–98. https://doi.org/10.1016/0014-2999(92)94825-G
Schwaighofer, M., Fischer, F., & Bühner, M. (2015). Does working memory training transfer? A meta-analysis including training conditions as moderators. Educational Psychologist, 50(2), 138–166. https://doi.org/10.1080/00461520.2015.1036274
Schweizer, S., Samimi, Z., Hasani, J., Moradi, A., Mirdoraghi, F., & Khaleghi, M. (2017). Improving cognitive control in adolescents with post-traumatic stress disorder (PTSD). Behaviour Research and Therapy, 93, 88–94. https://doi.org/10.1016/j.brat.2017.03.017
Shah, P., & Miyake, A. (1996). The separability of working memory resources for spatial thinking and language processing: An individual differences approach. Journal of Experimental Psychology: General, 125(1), 4–27. https://doi.org/10.1037/0096-3445.125.1.4
Shannon, C. E., & Weaver, W. (1949). A mathematical theory of communication. University of Illinois Press.
Shaw, M. E., Moores, K. A., Clark, R. C., McFarlane, A. C., Strother, S. C., Bryant, R. A., Brown, G. C., & Taylor, J. D. (2009). Functional connectivity reveals inefficient working memory systems in post-traumatic stress disorder. Psychiatry Research: Neuroimaging, 172(3), 235–241. https://doi.org/10.1016/j.pscychresns.2008.07.014
Shi, R., Sharpe, L., & Abbott, M. (2019). A meta-analysis of the relationship between anxiety and attentional control. Clinical Psychology Review, 72(101754). https://doi.org/10.1016/j.cpr.2019.101754
Shipstead, Z., & Engle, R. W. (2013). Interference within the focus of attention: Working memory tasks reflect more than temporary maintenance. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39(1), 277–289. https://doi.org/10.1037/a0028467
Shipstead, Z., Redick, T. S., & Engle, R. W. (2010). Does working memory training generalize? Psychologica Belgica, 50(3/4), 245–276. https://doi.org/10.5334/pb-50-3-4-245
Shipstead, Z., Redick, T. S., & Engle, R. W. (2012a). Is working memory training effective? Psychological Bulletin, 138(4), 628–654. https://doi.org/10.1037/a0027473
Shipstead, Z., Redick, T. S., Hicks, K. L., & Engle, R. W. (2012b). The scope and control of attention as separate aspects of working memory. Memory, 20(6), 608–628. https://doi.org/10.1080/09658211.2012.691519
Shipstead, Z., Lindsey, D. R., Marshall, R. L., & Engle, R. W. (2014). The mechanisms of working memory capacity: Primary memory, secondary memory, and attention control. Journal of Memory and Language, 72(1), 116–141. https://doi.org/10.1016/j.jml.2014.01.004
Shipstead, Z., Harrison, T. L., & Engle. (2015). Working memory capacity and the scope and control of attention. Attention, Perception, & Psychophysics, 77, 1863–1880. https://doi.org/10.3758/s13414-015-0899-0
Shipstead, Z., Harrison, T. L., & Engle. (2016). Working memory capacity and fluid intelligence: Maintenance and disengagement. Perspectives on Psychological Science, 11(6), 771–799. https://doi.org/10.1177/1745691616650647
Siegle, G. J., Ghinassi, F., & Thase, M. E. (2007). Neurobehavioral therapies in the 21st century: Summary of an emerging field and an extended example of cognitive control training for depression. Cognitive Therapy and Research, 31(2), 235–262. https://doi.org/10.1007/s10608-006-9118-6
Siegle, G. J., Price, R. B., Jones, N. P., Ghinassi, F., Painter, T., & Thase, M. E. (2014). You gotta work at it: Pupillary indices of task focus are prognostic for response to a neurocognitive intervention for rumination in depression. Clinical Psychological Science, 2, 455–471. https://doi.org/10.1177/2167702614536160
Simon, J. R., & Wolf, J. D. (1963). Choice reaction time as a function of angular stimulus response correspondence and age. Ergonomics, 6(1), 99–105. https://doi.org/10.1080/00140136308930679
Simons, D. J., Boot, W. R., Charness, N., Gathercole, S. E., Chabris, C. F., Hambrick, D. Z., & Stine-Morrow, E. A. (2016). Do “brain-training” programs work? Psychological Science in the Public Interest, 17(3), 103–186. https://doi.org/10.1177/1529100616661983
Sinha, R., Oswald, F., Imus, A., & Schmitt, N. (2011). Criterion-focused approach to reducing adverse impact in college admissions. Applied Measurement in Education, 24(2), 137–161. https://doi.org/10.1080/08957347.2011.554605
Smith, S. G., Zhang, X., Basile, K. C., Merrick, M. T., Wang, J., Kresnow, M., & Chen, J. (2018). The National Intimate Partner and Sexual Violence Survey: 2015 data brief – updated release. Centers for Disease Control and Prevention. https://www.nsvrc.org/resource/2500/national-intimate-partner-and-sexual-violence-survey-2015-data-brief-updated-release
Smits, J. A., Julian, K., Rosenfield, D., & Powers, M. B. (2012). Threat reappraisal as a mediator of symptom change in cognitive-behavioral treatment of anxiety disorders: A systematic review. Journal of Consulting and Clinical Psychology, 80(4), 624–635. https://doi.org/10.1037/a0028957
Sohn, Y. W., & Doane, S. M. (2004). Memory processes of flight situation awareness: Interactive roles of working memory capacity, long-term working memory, and expertise. Human Factors, 46(3), 461–475. https://doi.org/10.1518/hfes.46.3.461.50392
Song, L. J., Huang, G. H., Peng, K. Z., Law, K. S., Wong, C. S., & Chen, Z. (2010). The differential effects of general mental ability and emotional intelligence on academic performance and social interactions. Intelligence, 38(1), 137–143. https://doi.org/10.1016/j.intell.2009.09.003
Sotres-Bayon, F., Cain, C. K., & LeDoux, J. E. (2006). Brain mechanisms of fear extinction: Historical perspectives on the contribution of prefrontal cortex. Biological Psychiatry, 60(4), 329–336. https://doi.org/10.1016/j.biopsych.2005.10.012
Souza, A. S., & Oberauer, K. (2015). Time-based forgetting in visual working memory reflects temporal distinctiveness, not decay. Psychonomic Bulletin & Review, 22(1), 156–162. https://doi.org/10.3758/s13423-014-0652-z
Soveri, A., Antfolk, J., Karlsson, L., Salo, B., & Laine, M. (2017). Working memory training revisited: A multi-level meta-analysis of n-back training studies. Psychonomic Bulletin & Review, 24(4), 1077–1096. https://doi.org/10.3758/s13423-016-1217-0
Spencer, S. J., Logel, C., & Davies, P. G. (2016). Stereotype threat. Annual Review of Psychology, 67, 415–437. https://doi.org/10.1146/annurev-psych-073115-103235
St Clair-Thompson, H. L. (2010). Backwards digit recall: A measure of short-term memory or working memory? European Journal of Cognitive Psychology, 22(2), 286–296. https://doi.org/10.1080/09541440902771299
St Clair-Thompson, H. L., & Allen, R. J. (2013). Are forward and backward recall the same? A dual-task study of digit recall. Memory & Cognition, 41(4), 519–532. https://doi.org/10.3758/s13421-012-0277-2
St Clair-Thompson, H. L., & Gathercole, S. E. (2006). Executive functions and achievements in school: Shifting, updating, inhibition, and working memory. Quarterly Journal of Experimental Psychology, 59(4), 745–759. https://doi.org/10.1080/17470210500162854
St Clair-Thompson, H. L., Stevens, R., Hunt, A., & Bolder, E. (2010). Improving children's working memory and classroom performance. Educational Psychology, 30(2), 203–219. https://doi.org/10.1080/01443410903509259
Starns, J. J., & Ratcliff, R. (2010). The effects of aging on the speed–accuracy compromise: Boundary optimality and the diffusion model. Psychology and Aging, 25(2), 377–390. https://doi.org/10.1037/a0018022
Steele, C. M. (1997). A threat in the air: How stereotypes shape intellectual identity and performance. American Psychologist, 52(6), 613–629. https://doi.org/10.1037/0003-066X.52.6.613
Steele, C. M., & Aronson, J. (1995). Stereotype threat and the intellectual test performance of African Americans. Journal of Personality and Social Psychology, 69(5), 797–811. https://doi.org/10.1037/0022-3514.69.5.797
Stefanopoulou, E., Hirsch, C. R., Hayes, S., Adlam, A., & Coker, S. (2014). Are attentional control resources reduced by worry in generalized anxiety disorder? Journal of Abnormal Psychology, 123, 330–335. https://doi.org/10.1037/a0036343
Steiger, J. H. (1980). Tests for comparing elements of a correlation matrix. Psychological Bulletin, 87(2), 245–251. https://doi.org/10.1037/0033-2909.87.2.245
Steinmayr, R., Ziegler, M., & Träuble, B. (2010). Do intelligence and sustained attention interact in predicting academic achievement? Learning and Individual Differences, 20(1), 14–18. https://doi.org/10.1016/j.lindif.2009.10.009
Sternberg, S. (1969). The discovery of processing stages: Extensions of Donders' method. Acta Psychologica, 30, 276–315. https://doi.org/10.1016/0001-6918(69)90055-9
Stevens, T., Brevers, D., Chambers, C. D., Lavric, A., McLaren, I. P., Mertens, M., Noël, X., & Verbruggen, F. (2015). How does response inhibition influence decision-making when gambling? Journal of Experimental Psychology: Applied, 21(1), 15–36. https://doi.org/10.1037/xap0000039
Stieff, M., & Uttal, D. (2015). How much can spatial training improve STEM achievement? Educational Psychology Review, 27(4), 607–615. https://doi.org/10.1007/s10648-015-9304-8
Stojanoski, B., Wild, C. J., Battista, M. E., Nichols, E. S., & Owen, A. M. (2021). Brain training habits are not associated with generalized benefits to cognition: An online study of over 1000 “brain trainers”. Journal of Experimental Psychology: General, 150(4), 729–738. https://doi.org/10.1037/xge0000773
Stotzer, R. L. (2009). Violence against transgender people: A review of United States data. Aggression and Violent Behavior, 14(3), 170–179. https://doi.org/10.1016/j.avb.2009.01.006
Stout, D. M., & Rokke, P. D. (2010). Components of working memory predict symptoms of distress. Cognition and Emotion, 24(8), 1293–1303. https://doi.org/10.1080/02699930903309334
Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643–662. https://doi.org/10.1037/h0054651
Swanson, H. L., & Siegel, L. (2011). Learning disabilities as a working memory deficit. Issues in Education, 7(1), 1–48.
Swanson, H. L., Cochran, K. F., & Ewers, C. A. (1990). Can learning disabilities be determined from working memory performance? Journal of Learning Disabilities, 23(1), 59–67. https://doi.org/10.1177/002221949002300113
Tams, S., Thatcher, J., Grover, V., & Pak, R. (2015). Selective attention as a protagonist in contemporary workplace stress: Implications for the interruption age. Anxiety, Stress, & Coping, 28(6), 663–686. https://doi.org/10.1080/10615806.2015.1011141
Tozzi, L., Goldstein-Piekarski, A. N., Korgaonkar, M. S., & Williams, L. M. (2020). Connectivity of the cognitive control network during response inhibition as a predictive and response biomarker in major depression: evidence from a randomized clinical trial. Biological Psychiatry, 87(5), 462–472. https://doi.org/10.1016/j.biopsych.2019.08.005
Trbovich, P., Prakash, V., Stewart, J., Trip, K., & Savage, P. (2010). Interruptions during the delivery of high-risk medications. The Journal of Nursing Administration, 40(5), 211–218. https://doi.org/10.1097/NNA.0b013e3181da4047
Troller-Renfree, S. V., Buzzell, G. A., Bowers, M. E., Salo, V. C., Forman-Alberti, A., Smith, E., Papp, L. J., McDermott, J. M., Pine, D. S., Henderson, H. A., & Fox, N. A. (2019). Development of inhibitory control during childhood and its relations to early temperament and later social anxiety: Unique insights provided by latent growth modeling and signal detection theory. Journal of Child Psychology and Psychiatry, 60(6), 622–629. https://doi.org/10.1111/jcpp.13025
Troy, A. S., & Mauss, I. B. (2011). Resilience in the face of stress: Emotion regulation as a protective factor. In S. M. Southwick, B.T. Litz, D. Charney, & M. J. Friedman (Eds.), Resilience and mental health: Challenges across the lifespan (pp. 30–44). Cambridge University Press.
Tsukahara, J. S., & Engle, R. W. (2021). Is baseline pupil size related to cognitive ability? Yes (under proper lighting conditions). Cognition, 211, 104643. https://doi.org/10.1016/j.cognition.2021.104643
Tsukahara, J. S., Harrison, T. L., Draheim, C., Martin, J. D., & Engle, R. W. (2020). Attention control: The missing link between sensory discrimination and intelligence. Attention, Perception, & Psychophysics, 82(7), 3445–3478. https://doi.org/10.3758/s13414-020-02044-9
Turley-Ames, K. J., & Whitfield, M. M. (2003). Strategy training and working memory task performance. Journal of Memory and Language, 49(4), 446–468. https://doi.org/10.1016/S0749-596X(03)00095-0
Turner, M. L., & Engle, R. W. (1989). Is working memory capacity task dependent? Journal of Memory and Language, 28(2), 127–154. https://doi.org/10.1016/0749-596X(89)90040-5
U.S. Burden of Disease Collaborators, Mokdad, A. H., Ballestros, K., Echko, M., Glenn, S., Olsen, H. E., Mullany, E., Lee, A., Khan, A. R., Ahmadi, A., Ferrari, A. J., Kasaeian, A., Werdecker, A., Carter, A., Zipkin, B., Sartorius, B., Serdar, B., Sykes, B. L., Troeger, C., Fitzmaurice, C., ... Murray, C. (2018). The state of US health, 1990–2016: Burden of diseases, injuries, and risk factors among US states. Journal of the American Medical Association, 319(14), 1444–1472. https://doi.org/10.1001/jama.2018.0158
Unsworth, N., & Engle, R. W. (2005). Individual differences in working memory capacity and learning: Evidence from the serial reaction time task. Memory & Cognition, 33(2), 213–220. https://doi.org/10.3758/BF03195310
Unsworth, N., & McMillan, B. D. (2014). Similarities and differences between mind-wandering and external distraction: a latent variable analysis of lapses of attention and their relation to cognitive abilities. Acta Psychologica, 150, 14–25. https://doi.org/10.1016/j.actpsy.2014.04.001
Unsworth, N., & Spillers, G. J. (2010). Working memory capacity: Attention control, secondary memory, or both? A direct test of the dual-component model. Journal of Memory and Language, 62(4), 392–406. https://doi.org/10.1016/j.jml.2010.02.001
Unsworth, N., Schrock, J. C., & Engle, R. W. (2004). Working memory capacity and the antisaccade task: individual differences in voluntary saccade control. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30(6), 1302–1321. https://doi.org/10.1037/0278-7393.30.6.1302
Unsworth, N., Heitz, R. P., Schrock, J. C., & Engle, R. W. (2005). An automated version of the operation span task. Behavior Research Methods, 37(3), 498–505. https://doi.org/10.3758/bf03192720
Unsworth, N., Redick, T. S., Heitz, R. P., Broadway, J. M., & Engle, R. W. (2009). Complex working memory span tasks and higher-order cognition: A latent-variable analysis of the relationship between processing and storage. Memory, 17(6), 635–654. https://doi.org/10.1080/09658210902998047
Unsworth, N., McMillan, B. D., Brewer, G. A., & Spillers, G. J. (2012). Everyday attention failures: An individual differences investigation. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38(6), 1765–1772. https://doi.org/10.1037/a0028075
Unsworth, N., Fukuda, K., Awh, E., & Vogel, E. K. (2014). Working memory and fluid intelligence: Capacity, attention control, and secondary memory retrieval. Cognitive Psychology, 71, 1–26. https://doi.org/10.1016/j.cogpsych.2014.01.003
Uttal, D. H., Meadow, N. G., Tipton, E., Hand, L. L., Alden, A. R., Warren, C., & Newcombe, N. S. (2013). The malleability of spatial skills: a meta-analysis of training studies. Psychological Bulletin, 139(2), 352-402. https://doi.org/10.1037/a0028446
Vago, D. R., & David, S. A. (2012). Self-awareness, self-regulation, and self-transcendence (S-ART): A framework for understanding the neurobiological mechanisms of mindfulness. Frontiers in Human Neuroscience, 6( 296). https://doi.org/10.3389/fnhum.2012.00296
Van Bockstaele, B., Verschuere, B., Tibboel, H., De Houwer, J., Crombez, G., & Koster, E. H. (2014). A review of current evidence for the causal impact of attentional bias on fear and anxiety. Psychological Bulletin, 140(3), 682–721. https://doi.org/10.1037/a0034834
Vanderhasselt, M. A., & De Raedt, R. (2009). Impairments in cognitive control persist during remission from depression and are related to the number of past episodes: An event related potentials study. Biological Psychology, 81(3), 169–176. https://doi.org/10.1016/j.biopsycho.2009.03.009
Vandierendonck, A. (2017). A comparison of methods to combine speed and accuracy measures of performance: A rejoinder on the binning procedure. Behavior Research Methods, 49(2), 653–673. https://doi.org/10.3758/s13428-016-0721-5
Vandierendonck, A. (2018). Further tests of the utility of integrated speed–accuracy measures in task switching. Journal of Cognition, 1(1), 8. https://doi.org/10.5334/joc.6
Vandierendonck, A. (2021). On the utility of integrated speed–accuracy measures when speed accuracy trade-off is present. Journal of Cognition, 4(1), 22. https://doi.org/10.5334/joc.154
Vassilopoulos, S. P., & Watkins, E. R. (2009). Adaptive and maladaptive self-focus: A pilot extension study with individuals high and low in fear of negative evaluation. Behavior Therapy, 40(2), 181–189. https://doi.org/10.1016/j.beth.2008.05.003
Vaurio, R. G., Simmonds, D. J., & Mostofsky, S. H. (2009). Increased intra-individual reaction time variability in attention-deficit/hyperactivity disorder across response inhibition tasks with different cognitive demands. Neuropsychologia, 47(12), 2389–2396. https://doi.org/10.1016/j.neuropsychologia.2009.01.022
Verbruggen, F., Adams, R., & Chambers, C. D. (2012). Proactive motor control reduces monetary risk taking in gambling. Psychological Science, 23(7), 805–815. https://doi.org/10.1177/0956797611434538
Verbruggen, F., Adams, R. C., van’t Wout, F., Stevens, T., McLaren, I. P., & Chambers, C. D. (2013). Are the effects of response inhibition on gambling long-lasting? PLOS ONE, 8(7), e70155. https://doi.org/10.1371/journal.pone.0070155
Verdejo-Garcia, A. (2016). Cognitive training for substance use disorders: Neuroscientific mechanisms. Neuroscience and Biobehavioral Reviews, 68, 270–281. https://doi.org/10.1016/j.neubiorev.2016.05.018
Verguts, T., & De Boeck, P. (2002). On the correlation between working memory capacity and performance on intelligence tests. Learning and Individual Differences, 13(1), 37–55. https://doi.org/10.1016/s1041-6080(02)00049-3
Verhaeghen, P., & De Meersman, L. (1998). Aging and the Stroop effect: A meta-analysis. Psychology and Aging, 13(1), 120–126. https://doi.org/10.1037/0882-7974.13.1.120
Visu-Petra, L., Stanciu, O., Benga, O., Miclea, M., & Cheie, L. (2014). Longitudinal and concurrent links between memory span, anxiety symptoms, and subsequent executive functioning in young children. Frontiers in Psychology, 5, Article 443. https://doi.org/10.3389/fpsyg.2014.00443
Vogel, E. K., & Machizawa, M. G. (2004). Neural activity predicts individual differences in visual working memory capacity. Nature, 428(6984), 748-751. https://doi.org/10.1038/nature02447
Vogel, E. K., McCollough, A. W., & Machizawa, M. G. (2005). Neural measures reveal individual differences in controlling access to working memory. Nature, 438(7067), 500- 503. https://doi.org/10.1038/nature04171
von Bastian, C. C., Langer, N., Jäncke, L., & Oberauer, K. (2013). Effects of working memory training in young and old adults. Memory & Cognition, 41(4), 611–624. https://doi.org/10.3758/s13421-012-0280-7
von Bastian, C. C., Blais, C., Brewer, G. A., Gyurkovics, M., Hedge, C., Kalamala, P., Meier, M. E., Oberauer, K., Rey-Mermet, A., Rouder, J. N., Souza, A. S., Bartsch, A. S., Conway, A. R. A., Draheim, C., Engle, R. W., Fischkorn, G. T., Friedman, N. P., Gustavson, D. E., Koch, I., ... Whitehead, P. S. (2020, July 27). Advancing the understanding of individual differences in attentional control: Theoretical, methodological, and analytical considerations. https://doi.org/10.31234/osf.io/x3b9k
Vonmoos, M., Hulka, L. M., Preller, K. H., Minder, F., Baumgartner, M. R., & Quednow, B. B. (2014). Cognitive impairment in cocaine users is drug-induced but partially reversible: Evidence from a longitudinal study. Neuropsychopharmacology, 39(9), 2200–2210. https://doi.org/10.1038/npp.2014.71
Wang, H., Su, Y., Shang, S., Pei, M., Wang, X., & Jin, F. (2018). Working memory: A criterion of potential practicality for pilot candidate selection. The International Journal of Aerospace Psychology, 28(3/4), 64–75. https://doi.org/10.1080/24721840.2018.1535832
Waters, A. M., Pittaway, M., Mogg, K., Bradley, B. P., & Pine, D. S. (2013). Attention training towards positive stimuli in clinically anxious children. Developmental Cognitive Neuroscience, 4, 77–84. https://doi.org/10.1016/j.dcn.2012.09.004.
Waters, A. M., Zimmer-Gembeck, M. J., Craske, M. G., Pine, D. S., Bradley, B. P., & Mogg, K. (2015). Look for good and never give up: A novel attention training treatment for childhood anxiety disorders. Behaviour Research and Therapy, 73, 111–123. https://doi.org/10.1016/j.brat.2015.08.005.
Waters, A. M., Zimmer-Gembeck, M., Craske, M. G., Pine, D. S., Bradley, B. P., & Mogg, K. (2016). A preliminary evaluation of a home-based, computer-delivered attention training treatment for anxious children living in regional communities. Journal of Experimental Psychopathology, 511–527. https://doi.org/10.5127/jep.053315
Watkins, E., & Brown, R. G. (2002). Rumination and executive function in depression: An experimental study. Journal of Neurology, Neurosurgery & Psychiatry, 72(3), 400–402. https://doi.org/10.1136/jnnp.72.3.400
Wechsler, D. (1939). Measurement of adult intelligence. Williams & Wilkins. https://doi.org/10.1037/10020-000
Wechsler D. (2008). Wechsler Adult Intelligence Scale (4th ed). Pearson. https://doi.org/10.1037/t15169-000
Weick, K. E. (1990). The vulnerable system: An analysis of the Tenerife air disaster. Journal of Management, 16(3), 571-593. https://doi.org/10.1177/014920639001600304
Weierich, M. R., Treat, T. A., & Hollingworth, A. (2008). Theories and measurement of visual attentional processing in anxiety. Cognition and Emotion, 22(6), 985–1018. https://doi.org/10.1080/02699930701597601
Weissman, D. H., Giesbrecht, B., Song, A. W., Mangun, G. R., & Woldorff, M. G. (2003). Conflict monitoring in the human anterior cingulate cortex during selective attention to global and local object features. NeuroImage, 19(4), 1361-1368. https://doi.org/10.1016/s1053-8119(03)00167-8
Welhaf, M. S., Smeekens, B. A., Meier, M. E., Silvia, P. J., Kwapil, T. R., & Kane, M. J. (2020). The worst performance rule, or the non-best performance rule? Latent-variable analyses of working memory capacity, mind-wandering propensity, and reaction time. Journal of Intelligence, 8(2), 25. https://doi.org/10.3390/jintelligence8020025
Wen, Z. (2015). Working Memory in Second Language Acquisition and Processing: The Phonological/ Executive Model. In: Z. Wen, M. Borges Mota, & A. McNeill (Eds.), Working memory in second language acquisition and processing (pp. 41–62). Multilingual Matters. https://doi.org/10.21832/9781783093595-007
Westbrook, J. I., Raban, M. Z., Walter, S. R., & Douglas, H. (2018). Task errors by emergency physicians are associated with interruptions, multitasking, fatigue and working memory capacity: a prospective, direct observation study. BMJ Quality & Safety, 27(8), 655–663. https://doi.org/10.1136/bmjqs-2017-007333
Wheeler, M. E., & Treisman, A. M. (2002). Binding in short-term visual memory. Journal of Experimental Psychology: General, 131(1), 48-64. https://doi.org/10.1037/0096-3445.131.1.48
Whitmer, A. J., & Gotlib, I. H. (2013). An attentional scope model of rumination. Psychological Bulletin, 139(5), 1036–1061. https://doi.org/10.1037/a0030923
Wiberg, M., & Sundström, A. (2009). A comparison of two approaches to correction of restriction of range in correlation analysis. Practical Assessment, Research, and Evaluation, 14, 5. https://doi.org/10.7275/as0k-tm88
Wickelgren, W. A. (1977). Speed–accuracy tradeoff and information processing dynamics. Acta Psychologica, 41(1), 67–85. https://doi.org/10.1016/0001-6918(77)90012-9
Wieser, M. J., Pauli, P., & Mühlberger, A. (2009). Probing the attentional control theory in social anxiety: An emotional saccade task. Cognitive, Affective, & Behavioral Neuroscience, 9(3), 314–322. https://doi.org/10.3758/CABN.9.3.314
Wiley, J., Jarosz, A. F., Cushen, P. J., & Colflesh, G. J. (2011). New rule use drives the relation between working memory capacity and Raven's Advanced Progressive Matrices. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37(1), 256–263. https://doi.org/10.1037/a0021613
Williams, J. M. G., Barnhofer, T., Crane, C., Herman, D., Raes, F., Watkins, E., & Dalgleish, T. (2007). Autobiographical memory specificity and emotional disorder. Psychological Bulletin, 133(1), 122–148. https://doi.org/10.1037/0033-2909.133.1.122
Wiseman, S. (1967). The effect of restriction of range upon correlation coefficients. British Journal of Educational Psychology, 37(2), 248-252. https://doi.org/10.1111/j.2044-8279.1967.tb01933.x
Wong, Q. J. J. (2016). Anticipatory processing and post-event processing in social anxiety disorder: An update on the literature. Australian Psychologist, 51(2), 105-113. https://doi.org/10.1111/ap.12189
Wood, G., Vine, S. J., & Wilson, M. R. (2016). Working memory capacity, controlled attention and aiming performance under pressure. Psychological Research, 80(4), 510–517. https://doi.org/10.1007/s00426-015-0673-x
Woodworth, R. S., & Thorndike, E. L. (1901). The influence of improvement in one mental function upon the efficiency of other functions. (I). Psychological Review, 8(3), 247–261. https://doi.org/10.1037/h0074898
Xie, W., Campbell, S., & Zhang, W. (2020). Working memory capacity predicts individual differences in social-distancing compliance during the COVID-19 pandemic in the United States. Proceedings of the National Academy of Sciences, 117(30), 17667–17674. https://doi.org/10.1073/pnas.2008868117
Yang, W., Chen, Q., Liu, P., Cheng, H., Cui, Q., Wei, D., Zhang, Q., & Qiu, J. (2016). Abnormal brain activation during directed forgetting of negative memory in depressed patients. Journal of Affective Disorders, 190, 880-888. https://doi.org/10.1016/j.jad.2015.05.034
Young, S. E., Friedman, N. P., Miyake, A., Willcutt, E. G., Corley, R. P., Haberstick, B. C., & Hewitt, J. K. (2009). Behavioral disinhibition: Liability for externalizing spectrum disorders and its genetic and environmental relation to response inhibition across adolescence. Journal of Abnormal Psychology, 118(1), 117–130. https://doi.org/10.1037/a0014657
Zedeck, S. (2010). Adverse impact: History and evolution. In J. L. Outtz (Ed.), Adverse impact: Implications for organizational staffing and high stakes selection (pp. 3–28). Routledge/Taylor & Francis Group.
Zetsche, U., & Joormann, J. (2011). Components of interference control predict depressive symptoms and rumination cross-sectionally and at six months follow-up. Journal of Behavior Therapy and Experimental Psychiatry, 42(1), 65–73. https://doi.org/10.1016/j.jbtep.2010.06.001
Zoellner, L. A., Telch, M., Foa, E. B., Farach, F. J., McLean, C. P., Gallop, R., & Gonzalez-Lima, F. (2017). Enhancing extinction learning in posttraumatic stress disorder with brief daily imaginal exposure and methylene blue: A randomized controlled trial. The Journal of Clinical Psychiatry, 78(7), e782–e789. https://doi.org/10.4088/JCP.16m10936
