Norms of valence, arousal, and dominance for 13,915 English lemmas

Altarriba, J., Bauer, L. M., & Benvenuto, C. (1999). Concreteness, context availability, and imageability ratings and word associations for abstract, concrete, and emotion words. Behavior Research Methods, 31, 578–602. doi: 10.3758/BF03200738

Amsel, B. D., Urbach, T. P., & Kutas, M. (2012). Perceptual and motor attribute ratings for 559 object concepts. Behavior Research Methods, 44, 1028–1041. doi: 10.3758/s13428-012-0215-z

Augustine, A. A., Mehl, M. R., & Larsen, R. J. (2011). A positivity bias in written and spoken English and its moderation by personality and gender. Social Psychological and Personality Science, 2, 508–515.

Baayen, R. H., Feldman, L. B., & Schreuder, R. (2006). Morphological influences on the recognition of monosyllabic monomorphemic words. Journal of Memory and Language, 55, 290–313. doi: 10.1016/j.jml.2006.03.008

Balota, D. A., Yap, M. J., Cortese, M. J., Hutchison, K. A., Kessler, B., Loftis, B., et al. (2007). The English lexicon project. Behavior Research Methods, 39, 445–459. doi: 10.3758/BF03193014

Bestgen, Y., & Vincze, N. (2012). Checking and bootstrapping lexical norms by means of word similarity indexes. Behavior Research Methods, 44, 998–1006. doi: 10.3758/s13428-012-0195-z

Bradley, M. M., & Lang, P. J. (1999). Affective norms for English words (ANEW): Stimuli, instruction manual and affective ratings (Technical Report No. C-1). Gainesville, FL: University of Florida, NIMH Center for Research in Psychophysiology.

Brems, C., Johnson, M. E., Warner, T. D., & Roberts, L. W. (2010). Health care providers’ reports of perceived stigma associated with HIV and AIDS in rural and urban communities. Journal of HIV/AIDS and Social Services, 9, 356–370.

Brysbaert, M., & New, B. (2009). Moving beyond Kučera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English. Behavior Research Methods, 41, 977–990. doi: 10.3758/BRM.41.4.977

Brysbaert, M., New, B., & Keuleers, E. (2012). Adding part-of-speech information to the SUBTLEX-US word frequencies. Behavior Research Methods, 44, 991–997. doi: 10.3758/s13428-012-0190-4

Bureau of Labor Statistics. (2011, May). National occupational employment and wage estimates: United States. Retrieved August 31, 2012, from www.bls.gov/oes/current/oes_nat.htm#00-0000

Burgess, C. (1998). From simple associations to the building blocks of language: Modeling meaning in memory with the HAL model. Behavior Research Methods, Instruments, & Computers, 30, 188–198. doi: 10.3758/BF03200643

Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159. doi: 10.1037/0033-2909.112.1.155

Cortese, M. J., & Fugett, A. (2004). Imageability ratings for 3,000 monosyllabic words. Behavior Research Methods, Instruments, & Computers, 36, 384–387. doi: 10.3758/BF03195585

Eilola, T. M., & Havelka, J. (2010). Affective norms for 210 British English and Finnish nouns. Behavior Research Methods, 42, 134–140. doi: 10.3758/BRM.42.1.134

Ferrand, L., New, B., Brysbaert, M., Keuleers, E., Bonin, P., Méot, A., et al. (2010). The French lexicon project: Lexical decision data for 38,840 French words and 38,840 pseudowords. Behavior Research Methods, 42, 488–496. doi: 10.3758/BRM.42.2.488

Fraga, I., Piñeiro, A., Acuña-Fariña, C., Redondo, J., & García-Orza, J. (2012). Emotional nouns affect attachment decisions in sentence completion tasks. Quarterly Journal of Experimental Psychology, 65, 1740–1759. doi: 10.1080/17470218.2012.662989

Garcia, D., Garas, A., & Schweitzer, F. (2012). Positive words carry less information than negative words. EPJ Data Science, 1. doi: 10.1140/epjds3

Gilhooly, K. J., & Logie, R. H. (1980). Age-of-acquisition, imagery, concreteness, familiarity, and ambiguity measures for 1,944 words. Behavior Research Methods & Instrumentation, 12, 395–427. doi: 10.3758/BF03201693

Janschewitz, K. (2008). Taboo, emotionally valenced, and emotionally neutral word norms. Behavior Research Methods, 40, 1065–1074. doi: 10.3758/BRM.40.4.1065

Juhasz, B. J., & Yap, M. J. (2012). Sensory experience ratings for over 5,000 mono- and disyllabic words. Behavior Research Methods. doi: 10.3758/s13428-012-0242-9

Juhasz, B. J., Yap, M. J., Dicke, J., Taylor, S. C., & Gullick, M. M. (2011). Tangible words are recognized faster: The grounding of meaning in sensory and perceptual systems. Quarterly Journal of Experimental Psychology, 64, 1683–1691. doi: 10.1080/17470218.2011.605150

Keuleers, E., Brysbaert, M., & New, B. (2010). SUBTLEX-NL: A new measure for Dutch word frequency based on film subtitles. Behavior Research Methods, 42, 643–650. doi: 10.3758/BRM.42.3.643

Keuleers, E., Lacey, P., Rastle, K., & Brysbaert, M. (2012). The British lexicon project: Lexical decision data for 28,730 monosyllabic and disyllabic English words. Behavior Research Methods, 44, 287–304. doi: 10.3758/s13428-011-0118-4

Kloumann, I. M., Danforth, C. M., Harris, K. D., Bliss, C. A., & Dodds, P. S. (2012). Positivity of the English language. PLoS One, 7, e29484. doi: 10.1371/journal.pone.0029484

Kousta, S. T., Vigliocco, G., Vinson, D. P., Andrews, M., & Del Campo, E. (2011). The representation of abstract words: Why emotion matters. Journal of Experimental Psychology. General, 140, 14–34. doi: 10.1037/a0021446

Kousta, S. T., Vinson, D. P., & Vigliocco, G. (2009). Emotion words, regardless of polarity, have a processing advantage over neutral words. Cognition, 112, 473–481. doi: 10.1016/j.cognition.2009.06.007

Kuperman, V., Stadthagen-Gonzalez, H., & Brysbaert, M. (2012). Age-of-acquisition ratings for 30,000 English words. Behavior Research Methods, 44, 978–990. doi: 10.3758/s13428-012-0210-4

Landauer, T. K., & Dumais, S. T. (1997). A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104, 211–240. doi: 10.1037/0033-295X.104.2.211

Leveau, N., Jhean-Larose, S., Denhière, G., & Nguyen, B. L. (2012). Validating an interlingual metanorm for emotional analysis of texts. Behavior Research Methods, 44, 1007–1014. doi: 10.3758/s13428-012-0208-y

Liu, B. (2012). Sentiment analysis and opinion mining. San Rafael, CA: Morgan & Claypool.

Medler, D., Arnoldussen, A., Binder, J., & Seidenberg, M. (2005). The Wisconsin perceptual attribute ratings database. Retrieved from www.neuro.mcw.edu/ratings/

MetLife Foundation. (2011). What America thinks: MetLife Foundation Alzheimer’s survey. Retrieved August 31, 2012, from www.metlife.com/assets/cao/contributions/foundation/alzheimers-2011.pdf

Mohammad, S. M., & Turney, P. D. (2010). Emotions evoked by common words and phrases: Using Mechanical Turk to create an emotion lexicon. In Proceedings of the NAACL-HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text (pp. 26–34). New York, NY: Association for Computational Linguistics.

Moors, A., De Houwer, J., Hermans, D., Wanmaker, S., van Schie, K., Van Harmelen, A. L., . . . Brysbaert, M. (2012). Norms of valence, arousal, dominance, and age of acquisition for 4,300 Dutch words. Behavior Research Methods. doi: 10.3758/s13428-012-0243-8

Newman, M. L., Groom, C. J., Handelman, L. D., & Pennebaker, J. W. (2008). Gender differences in language use: An analysis of 14,000 text samples. Discourse Processes, 45, 211–236. doi: 10.1080/01638530802073712

Osgood, C. E., Suci, G. J., & Tannenbaum, P. H. (1957). The measurement of meaning. Urbana, IL: University of Illinois Press.

Petersen, J. L., & Hyde, J. S. (2010). A meta-analytic review of research on gender differences in sexuality, 1993–2007. Psychological Bulletin, 136, 21–38. doi: 10.1037/a0017504

Rammstedt, B., & Krebs, D. (2007). Does response scale format affect the answering of personality scales? European Journal of Psychological Assessment, 23, 32–38.

Redondo, J., Fraga, I., Padrón, I., & Comesaña, M. (2007). The Spanish adaptation of ANEW (Affective Norms for English Words). Behavior Research Methods, 39, 600–605. doi: 10.3758/BF03193031

Schock, J., Cortese, M. J., & Khanna, M. M. (2012). Imageability estimates for 3,000 disyllabic words. Behavior Research Methods, 44, 374–379. doi: 10.3758/s13428-011-0162-0

Scott, G. G., O’Donnell, P. J., & Sereno, S. C. (2012). Emotion words affect eye fixations during reading. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38, 783–792. doi: 10.1037/a0027209

Shaoul, C., & Westbury, C. (2010). Exploring lexical co-occurrence space using HiDEx. Behavior Research Methods, 42, 393–413. doi: 10.3758/BRM.42.2.393

Soares, A. P., Comesaña, M., Pinheiro, A. P., Simões, A., & Frade, C. S. (2012). The adaptation of the Affective Norms for English Words (ANEW) for European Portuguese. Behavior Research Methods, 44, 256–269. doi: 10.3758/s13428-011-0131-7

Stadthagen-Gonzalez, H., & Davis, C. J. (2006). The Bristol norms for age of acquisition, imageability, and familiarity. Behavior Research Methods, 38, 598–605. doi: 10.3758/BF03193891

Tillotson, S. M., Siakaluk, P. D., & Pexman, P. M. (2008). Body–object interaction ratings for 1,618 monosyllabic nouns. Behavior Research Methods, 40, 1075–1078. doi: 10.3758/BRM.40.4.1075

Van Overschelde, J. P., Rawson, K. A., & Dunlosky, J. (2004). Category norms: An updated and expanded version of the Battig and Montague (1969) norms. Journal of Memory and Language, 50, 289–335. doi: 10.1016/j.jml.2003.10.003

Verona, E., Sprague, J., & Sadeh, N. (2012). Inhibitory control and negative emotional processing in psychopathy and antisocial personality disorder. Journal of Abnormal Psychology, 121, 498–510.

YouGov. (2011). Cancer Britons most feared disease. Retrieved August 31, 2012, from http://yougov.co.uk/news/2011/08/15/cancer-britons-most-feared-disease/

Zhao, X., Li, P., & Kohonen, T. (2011). Contextual self-organizing map: Software for constructing semantic representations. Behavior Research Methods, 43, 77–88. doi: 10.3758/s13428-010-0042-z