Czech Validation of the Online Gambling Disorder Questionnaire (OGD-Q)

American Psychiatric Association, DSM-5 Task Force. (2013). Diagnostic and statistical manual of mental disorders: DSM-5™ (5th ed.). American Psychiatric Publishing, Inc. https://doi.org/10.1176/appi.books.9780890425596

Amoah-Nuamah, J., Agyemang-Duah, W., Mensah, B., & Opoku, B. (2023). University students’ reasons and attitudes towards online gambling and its implication on their lives. Journal of Gambling Studies, 39(1), 203–224. https://doi.org/10.1007/s10899-022-10143-5

Article  PubMed  Google Scholar 

Awaworyi Churchill, S., & Farrell, L. (2018). The impact of gambling on depression: New evidence from England and Scotland. Economic Modelling, 68, 475–483. https://doi.org/10.1016/j.econmod.2017.08.021

Article  Google Scholar 

Barrault, S., Bonnaire, C., & Herrmann, F. (2017). Anxiety, depression and emotion regulation among regular online poker players. Journal of Gambling Studies, 33(4), 1039–1050. https://doi.org/10.1007/s10899-017-9669-3

Article  PubMed  Google Scholar 

Bell, V., & O’Driscoll, C. (2018). The network structure of paranoia in the general population. Social Psychiatry and Psychiatric Epidemiology, 53(7), 737–744. https://doi.org/10.1007/s00127-018-1487-0

Article  PubMed  PubMed Central  Google Scholar 

Bentley, K. H., Gallagher, M. W., Carl, J. R., & Barlow, D. H. (2014). Development and validation of the overall depression severity and impairment scale. Psychological Assessment, 26(3), 815–830. https://doi.org/10.1037/a0036216

Article  PubMed  Google Scholar 

Bernaards, C., Gilbert, P., & Jennrich, R. (2023). GPArotation: Gradient Projection Factor Rotation (Version 2023.11–1) [Computer software]. https://cran.r-project.org/web/packages/GPArotation/index.html

Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction (Abingdon, England), 97(5), 487–499. https://doi.org/10.1046/j.1360-0443.2002.00015.x

Article  PubMed  Google Scholar 

Borkulo, C. v., & Constantin, S. E. with contributions from A. R. and M. A. (2023). IsingFit: Fitting Ising models using the ELasso method (Version 0.4) [Computer software]. https://cran.r-project.org/web/packages/IsingFit/index.html. Accessed 18 Mar 2025.

Briganti, G., Kempenaers, C., Braun, S., Fried, E. I., & Linkowski, P. (2018). Network analysis of empathy items from the interpersonal reactivity index in 1973 young adults. Psychiatry Research, 265, 87–92. https://doi.org/10.1016/j.psychres.2018.03.082

Article  PubMed  Google Scholar 

Broman, N., Prever, F., di Giacomo, E., Jiménez-Murcia, S., Szczegielniak, A., Hansson, H., & Håkansson, A. (2022). Gambling, gaming, and internet behavior in a sexual minority perspective. A cross-sectional study in seven European countries. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2021.707645

Article  PubMed  PubMed Central  Google Scholar 

Buchanan, T. W., McMullin, S. D., Baxley, C., & Weinstock, J. (2020). Stress and gambling. Current Opinion in Behavioral Sciences, 31, 8–12. https://doi.org/10.1016/j.cobeha.2019.09.004

Article  Google Scholar 

Burger, J., Isvoranu, A.-M., Lunansky, G., Haslbeck, J., Epskamp, S., Hoekstra, R. H. A., Fried, E. I., Borsboom, D., & Blanken, T. (2020). Reporting Standards for Psychological Network Analyses in Cross-sectional Data. https://doi.org/10.31234/osf.io/4y9nz

Byrne, B. M. (2013). Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming. Routledge. https://doi.org/10.4324/9780203807644

Campbell-Sills, L., Norman, S. B., Craske, M. G., Sullivan, G., Lang, A. J., Chavira, D. A., Bystritsky, A., Sherbourne, C., Roy-Byrne, P., & Stein, M. B. (2009). Validation of a brief measure of anxiety-related severity and impairment: The Overall Anxiety Severity and Impairment Scale (OASIS). Journal of Affective Disorders, 112(1–3), 92–101. https://doi.org/10.1016/j.jad.2008.03.014

Article  PubMed  Google Scholar 

Carbonneau, R., Vitaro, F., Brendgen, M., & Tremblay, R. E. (2018). The intergenerational association between parents’ problem gambling and impulsivity-hyperactivity/inattention behaviors in children. Journal of Abnormal Child Psychology, 46(6), 1203–1215. https://doi.org/10.1007/s10802-017-0362-x

Article  PubMed  Google Scholar 

Carstensen, B., Plummer, M., Laara, E., & Hills, M. (2023). Epi: Statistical analysis in epidemiology (Version 2.47.1) [Computer software]. https://cran.r-project.org/web/packages/Epi/index.html

Castrén, S., Basnet, S., Pankakoski, M., Ronkainen, J.-E., Helakorpi, S., Uutela, A., Alho, H., & Lahti, T. (2013). An analysis of problem gambling among the Finnish working-age population: A population survey. BMC Public Health,13(1), Article 519. https://doi.org/10.1186/1471-2458-13-519

Article  PubMed  PubMed Central  Google Scholar 

Cattell, R. B. (1978). The scientific use of factor analysis. Plenum Press. https://link.springer.com/book/10.1007/978-1-4684-2262-7

Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 233–255. https://doi.org/10.1207/S15328007SEM0902_5

Article  Google Scholar 

Choi, J., & Kim, K. (2021). The relationship between impulsiveness, self-esteem, irrational gambling belief and problem gambling moderating effects of gender. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph18105180

Article  PubMed  PubMed Central  Google Scholar 

Chóliz, M., Marcos, M., & Lázaro-Mateo, J. (2021). The risk of online gambling: A study of gambling disorder prevalence rates in Spain. International Journal of Mental Health and Addiction, 19(2), 404–417. https://doi.org/10.1007/s11469-019-00067-4

Article  Google Scholar 

Civelek, M. (2018). Essentials of Structural Equation Modeling. Zea E-Books Collection. https://digitalcommons.unl.edu/zeabook/64

Clarke, D., Abbott, M., DeSouza, R., & Bellringer, M. (2007). An overview of help seeking by problem gamblers and their families including barriers to and relevance of services. International Journal of Mental Health and Addiction, 5(4), 292–306. https://doi.org/10.1007/s11469-007-9063-y

Article  Google Scholar 

Costes, J.-M., Kairouz, S., Fiedler, I., Bartczuk, R. P., Lelonkek-Kuleta, B., Minutillo, A., & Notari, L. (2023). Online gambling practices and related problems in five European countries: Findings from the electronic gam(bl)ing multinational empirical survey (E-GAMES) project. Journal of Gambling Studies. https://doi.org/10.1007/s10899-023-10229-8

Article  PubMed  Google Scholar 

Delacre, M., & Klein, O. (2019). Routliers: Robust outliers detection (Version 0.0.0.3) [Computer software]. https://cran.r-project.org/web/packages/Routliers/index.html. Accessed 18 Mar 2025.

Diagnostic and statistical manual of mental disorders: DSM-5TM (5th ed., pp. xliv, 947). (2013). American Psychiatric Publishing, Inc. https://doi.org/10.1176/appi.books.9780890425596

DiStefano, C., & Morgan, G. B. (2014). A comparison of diagonal weighted least squares robust estimation techniques for ordinal data. Structural Equation Modeling: A Multidisciplinary Journal, 21(3), 425–438.

Google Scholar 

Echeburúa, E., Salaberría, K., & Cruz-Sáez, M. (2014). Contributions and limitations of DSM-5 from clinical psychology. Terapia Psicológica, 32(1), 65–74. https://doi.org/10.4067/S0718-48082014000100007

Article  Google Scholar 

Effertz, T., Bischof, A., Rumpf, H.-J., Meyer, C., & John, U. (2018). The effect of online gambling on gambling problems and resulting economic health costs in Germany. The European Journal of Health Economics, 19(7), 967–978. https://doi.org/10.1007/s10198-017-0945-z

Article  PubMed  Google Scholar 

Epskamp, S. (2023). psychonetrics: Structural equation modeling and confirmatory network analysis (Version 0.11.5) [Computer software]. https://cran.r-project.org/web/packages/psychonetrics/index.html. Accessed 18 Mar 2025.

Epskamp, S., & Fried, E. I. (2023). bootnet: Bootstrap methods for various network estimation routines (Version 1.5.6) [Computer software]. https://cran.r-project.org/web/packages/bootnet/index.html. Accessed 18 Mar 2025.

Epskamp, S., Waldorp, L. J., Mõttus, R., & Borsboom, D. (2018). The gaussian graphical model in cross-sectional and time-series data. Multivariate Behavioral Research, 53(4), 453–480. https://doi.org/10.1080/00273171.2018.1454823

Article  PubMed  Google Scholar 

Feißt, M., Hennigs, A., Heil, J., Moosbrugger, H., Kelava, A., Stolpner, I., Kieser, M., & Rauch, G. (2019). Refining scores based on patient reported outcomes – Statistical and medical perspectives. BMC Medical Research Methodology, 19(1), 167. https://doi.org/10.1186/s12874-019-0806-9

Article  PubMed  PubMed Central  Google Scholar 

Flora, D. B., & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491. https://doi.org/10.1037/1082-989X.9.4.466

Article  PubMed  PubMed Central  Google Scholar 

Fruchterman, T. M. J., & Reingold, E. M. (1991). Graph drawing by force-directed placement. Software, Practice & Experience, 21(11), 1129–1164. https://doi.org/10.1002/spe.4380211102

Article  Google Scholar 

Gainsbury, S. M., Angus, D. J., & Blaszczynski, A. (2019). Isolating the impact of specific gambling activities and modes on problem gambling and psychological distress in internet gamblers. BMC Public Health, 19(1), 1372. https://doi.org/10.1186/s12889-019-7738-5

Article  PubMed  PubMed Central  Google Scholar 

Gainsbury, S., Liu, Y., Russell, A. M. T., & Teichert, T. (2016). Is all internet gambling equally problematic? Considering the relationship between mode of access and gambling problems. Computers in Human Behavior, 55, 717–728. https://doi.org/10.1016/j.chb.2015.10.006

Article  Google Scholar 

Gainsbury, S. M., Russell, A., Hing, N., Wood, R., & Blaszczynski, A. (2013). The impact of internet gambling on gambling problems: A comparison of moderate-risk and problem internet and non-internet gamblers. Psychology of Addictive Behaviors, 27(4), 1092–1101. https://doi.org/10.1037/a0031475

Article  PubMed  Google Scholar 

Gainsbury, S. M., Russell, A., Hing, N., Wood, R., Lubman, D., & Blaszczynski, A. (2015). How the internet is changing gambling: Findings from an Australian prevalence survey. Journal of Gambling Studies, 31(1), 1–15. https://doi.org/10.1007/s10899-013-9404-7

Article  PubMed 

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