Validation of the 7-Item Domain-General Gambling Harm Scale (DGHS-7)
Tài liệu tham khảo
Bohannon, 2016, Mechanical Turk upends social sciences, Science, 352, 1263, 10.1126/science.352.6291.1263
Browne, 2018, Validation of the Short Gambling Harm Screen (SGHS): A tool for assessment of harms from gambling, Journal of Gambling Studies, 34, 499, 10.1007/s10899-017-9698-y
Browne, 2021, The evolution of gambling-related harm measurement: Lessons from the last decade, International Journal of Environmental Research and Public Health, 18, 4395, 10.3390/ijerph18094395
Browne, 2018, Prevalence of gambling-related harm provides evidence for the prevention paradox, Journal of Behavioral Addictions, 7, 410, 10.1556/2006.7.2018.41
Browne, 2020, Measuring behavioural dependence in gambling: A case for removing harmful consequences from the assessment of problem gambling pathology, Journal of Gambling Studies, 36, 1027, 10.1007/s10899-019-09916-2
Calado, 2016, Problem gambling worldwide: An update and systematic review of empirical research (2000–2015), Journal of Behavioral Addictions, 5, 592, 10.1556/2006.5.2016.073
Cheung, 2002, Evaluating goodness-of-fit indexes for testing measurement invariance, Structural Equation Modeling: A Multidisciplinary Journal, 9, 233, 10.1207/S15328007SEM0902_5
Cummins, 2003, Developing a national index of subjective wellbeing: The Australian unity wellbeing index, Social Indicators Research, 64, 159, 10.1023/A:1024704320683
Delfabbro, 2020, Opportunity cost and gambling: Distinguishing between competing activities and harm, Journal of Gambling Issues, 44, 10.4309/jgi.2020.44.9
Edwards, 2009, Methods to increase response to postal and electronic questionnaires, Cochrane Database of Systematic Reviews, 2010, 10.1002/14651858.MR000008.pub4
Ferris, 2001
Fiedler, 2021, Bounded rationality in compulsive consumption, Journal of Business Theory and Practice, 9, 30, 10.22158/jbtp.v9n1p30
Gadermann, 2012, Estimating ordinal reliability for Likert-type and ordinal item response data: A conceptual, empirical, and practical guide, Practical Assessment, Research and Evaluation, 17
Hing, 2022, Gambling-related harms to concerned significant others: A national Australian prevalence study, Journal of Behavioral Addictions, 11, 361
Hu, 1999, Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Structural Equation Modeling: A Multidisciplinary Journal, 6, 1, 10.1080/10705519909540118
Langham, 2016, Understanding gambling related harm: A proposed definition, conceptual framework, and taxonomy of harms, BMC Public Health, 16, 80, 10.1186/s12889-016-2747-0
Latvala, 2021, 18-Item Version of the Short Gambling Harm Screen (SGHS-18): Validation of screen for assessing gambling-related harm among Finnish population, International Journal of Environmental Research and Public Health, 18, 11552, 10.3390/ijerph182111552
Lau, 2005, An investigation into the cross-cultural equivalence of the Personal Wellbeing Index, Social Indicators Research, 72, 403, 10.1007/s11205-004-0561-z
Li, 2016, Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares, Behavior Research Methods, 48, 936, 10.3758/s13428-015-0619-7
Li, 2017, Breaking Bad: Comparing gambling harms among gamblers and affected others, Journal of Gambling Studies, 33, 223, 10.1007/s10899-016-9632-8
McLauchlan, 2020, evaluating the reliability and validity of the Short Gambling Harm Screen: Are binary scales worse than likert scales at capturing gambling harm?, Journal of Gambling Issues, 44, 10.4309/jgi.2020.44.6
Murray Boyle, 2021, Opportunity costs or not? Validating the Short Gambling Harm Screen against a set of “unimpeachable” negative impacts, Journal of Clinical Medicine, 10, 549, 10.3390/jcm10030549
Murray Boyle, 2022, Validating the Short Gambling Harm Screen against external benchmarks, Journal of Behavioral Addictions, 10.1556/2006.2022.00075
Office for National Statistics. (2022). Average household income, UK. https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/incomeandwealth/bulletins/householddisposableincomeandinequality/financialyearending2021.
Palan, 2018, Prolific.ac—A subject pool for online experiments, Journal of Behavioral and Experimental Finance, 17, 22, 10.1016/j.jbef.2017.12.004
Peer, 2017, Beyond the Turk: Alternative platforms for crowdsourcing behavioral research, Journal of Experimental Social Psychology, 70, 153, 10.1016/j.jesp.2017.01.006
Potenza, 2019, Gambling disorder, Nature Reviews Disease Primers, 5, 51, 10.1038/s41572-019-0099-7
Putnick, 2016, Measurement invariance conventions and reporting: The state of the art and future directions for psychological research, Developmental Review, 41, 71, 10.1016/j.dr.2016.06.004
Rosseel, 2012, lavaan: An R package for structural equation modeling, Journal of Statistical Software, 48, 10.18637/jss.v048.i02
Salonen, 2016, The extent and type of gambling harms for concerned significant others: A cross-sectional population study in Finland, Scandinavian Journal of Public Health, 44, 799, 10.1177/1403494816673529
Satorra, 2000, Scaled and adjusted restricted tests in multi-sample analysis of moment structures, 233
Shaffer, 2002, Gambling and related mental disorders: A public health analysis, Annual Review of Public Health, 23, 171, 10.1146/annurev.publhealth.23.100901.140532
Shannon, 2017, Mapping the proportional distribution of gambling-related harms in a clinical and community sample, International Gambling Studies, 17, 366, 10.1080/14459795.2017.1333131
Sjoberg, D., D., Whiting, K., Curry, M., Lavery, J., A., & Larmarange, J. (2021). Reproducible summary tables with the gtsummary package. The R Journal, 13(1), 570. https://doi.org/10.32614/RJ-2021-053.
Stedman, 2019, The end of the (research) world as we know it? Understanding and coping with declining response rates to mail surveys, Society and Natural Resources, 32, 1139, 10.1080/08941920.2019.1587127
Wu, 2016, Identification of confirmatory factor analysis models of different levels of invariance for ordered categorical outcomes, Psychometrika, 81, 1014, 10.1007/s11336-016-9506-0
Zinbarg, 2005, Cronbach’s α, Revelle’s β, and Mcdonald’s ωH: Their relations with each other and two alternative conceptualizations of reliability, Psychometrika, 70, 123, 10.1007/s11336-003-0974-7