2023

Jak, S., Jorgensen, T.D., ten Hove, D. & Nevicka, B. (2023). Modeling cluster-level constructs measured by individual responses: Configuring a shared approach. Advances in Methods and Practices in Psychological Science, 6, 1-18. Article Data and code

Potters, O.T., van Schijndel, T.J., Jak, S., & Voogt, J.M. (2023). Two decades of research on children's creativity development during primary education in relation to task characteristics. Educational Research Review, 100532. Article Data and code

Jansen, D., Elffers, L., Jak, S., & Volman, M. L. L. (2023). Is a more selective exit exam related to shadow education use? An analysis of two cohorts of final-year secondary school students in the Netherlands. Oxford Review of Education. Article

2022

Leitgob, H., Seddig, D., Asparouhov, T., Behr, D., Davidov, E., De Roover, K., Jak, S., Meitinger, K., Menold, N., Muthen, B., Rudnev, M., Schmidt, P. & van de Schoot, R. (2022). Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives. Social Science Research, 102805. Article

Kolbe, L., Molenaar, D., Jak, S., & Jorgensen, T. D. (2022). Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx. Psychological Methods. Article

van Alphen, T., Jak, S., Jansen in de Wal, J., Schuitema, J. & Peetsma, T.D. (2022). Determining reliability of daily measures: An illustration with data on teacher stress. Applied Measurement in Education. Article Postprint, data and script

Stolwijk, I.J., Jak, S., Eichelsheim, V.I., & Hoeve, M. (2022). Dealing with Dependent Effect Sizes in MASEM: A comparison of different approaches using empirical data. Zeitschrift fur Psychologie : Journal of Psychology. Article Postprint, data and script

2021

Kolbe, L., Oort, F.J. & Jak, S. (2021). Bivariate distributions underlying responses to ordinal variables. Psych, 3(4), 562-578. Article

Jak, S., Li, H., Kolbe, L., de Jonge, H., & Cheung, M.W.-L. (2021). Meta-analytic structural equation modeling made easy: A tutorial and web application for one-stage MASEM. Research Synthesis Methods, 12, 590-606. Article webMASEM app Data and scripts

Jak, S., Jorgensen, T.D., & Rosseel, Y. (2021). Evaluating cluster-level factor models with lavaan and Mplus. Psych, 3(2), 134-152. Article Data and scripts Also see the comment of Asparahouv and Muthen on this article.

Jansen, D., Elffers, L. & Jak, S. (2021). A cross-national exploration of shadow education use by high and low SES families. International Studies in Sociology of Education. Article

Thijssen, L., van Tubergen, F., Coenders, M., Hellpap, R., & Jak, S. (2021). Discrimination of black and muslim minority groups in western societies: Evidence from a meta-analysis of field experiments. International Migration Review. Online first. Article

2020

Jak, S., Jorgensen, T.D., Verdam, M.G.E., Oort, F.J. & Elffers, L. (2020). Analytical power calculations for structural equation modeling: A tutorial and shiny app. Behavior Research Methods, 54, 1385-1406. Link power4SEM app

Jak, S. & Cheung, M.W.-L. (2020) Meta-analytic structural equation modeling with moderating effects on SEM parameters. Psychological Methods, 25(4), 430-455. Link Link Supplementary materials

Jorgensen, T. D., & Jak, S. (2020). Review of Gana & Broc's Structural Equation Modeling with lavaan. Psychometrika. Link

Jak, S. & Cheung, M.W.-L. (2020) A commentary on Lv and Maeda (2019). Structural Equation Modeling, 27, 438-441. Link

de Jonge, H., Jak, S., & Kan, K.J. (2020). Dealing with artficially dichotomized variables in meta-analytic structural equation modeling. Zeitschrift fur Psychologie/Journal of Psychology, 228, 25-35.

2019

Jansen, R. S., Van Leeuwen, A., Janssen, J., Jak, S. & Kester, L. (2019). Self-regulated learning partially mediates the effect of self-regulated learning interventions on achievement in higher education: a meta-Analysis. Educational Research Review. doi:10.1016/j.edurev.2019.100292

Jak, S. (2019). Cross-level invariance in multilevel factor models. Structural Equation Modeling, 26, 607-622. Link

Melnyk, V., van Herpen, E., Jak, S. & van Trijp, H. (2019). The mechanisms of social norms influence on consumer decision making. Zeitschrift fur Psychologie/Journal of Psychology, 227, 4-17.

Eltanamly, H., Leijten, P.H.O., Jak, S., & Overbeek, G.J. (2019). Parenting in times of war: A meta-analysis and qualitative synthesis of war-exposure, parenting, and child adjustment. Trauma, Violence, & Abuse.

2018

Jak, S. & Cheung, M.W.-L. (2018). Accounting for missing correlation coefficients in fixed-effects meta-analytic structural equation modeling. Multivariate Behavioral Research, 53(1), 1-14. Link

Jak, S. & Cheung, M.W.-L. (2018). Testing moderator hypotheses in meta-analytic structural equation modeling using subgroup analysis. Behavior Research Methods, 50(4), 1359-1373. Link

2017

Jak, S. & Jorgensen, T.D. (2017). Relating measurement invariance, cross-level invariance, and multilevel reliability. Frontiers in Psychology, 8, 1640. Link

Jak, S. (2017). Book review: MW-L CHEUNG. Meta-analysis: A Structural Equation Modeling Approach. New York: Wiley. Biometrics, 73, 357-358.

Roorda, D.L., Jak, S., Zee, M., Oort, F.J. & Koomen, H.M.Y. (2017). Teacher-student relationships and students’ achievement: Using a meta-analytic approach to test the mediating role of school engagement. School Psychology Review, 46(3), 239-261.

Jak, S. (2017). Testing and explaining differences in common and residual factors across many countries. Journal of Cross-Cultural Psychology, 48(1), 75-92.

2016

Cheung, M.W.-L & Jak, S. (2016). Analyzing big data in psychology: A Split/Analyze/Meta-Analyze Approach. Frontiers in Psychology, 7, 738.

Oort, F.J. & Jak, S. (2016). Maximum likelihood estimation in meta-analytic structural equation modeling. Research Synthesis Methods, 7, 156-167.

Noordstar, J.J., van der Net, J. Jak, S., Helders, P.J.M. & Jongmans, M.J. (2016). Global self-esteem, perceived athletic competence, and physical activity in children: A longitudinal cohort study. Psychology of Sport & Exercise, 22, 83-90.

Noordstar, J.J., van der Net, J. Jak, S., Helders, P.J.M. & Jongmans, M.J (2016). The change in perceived motor competence and motor task values during elementary school: Gender and motor performance differences. British Journal of Developmental Psychology, 34, 427-446. DOI: 10.1111/bjdp.12142.

2015

Jak, S. (2015). Meta-analytic structural equation modeling . Springer International Publishing.

Jak, S. & Oort, F.J. (2015). On the power of the test for cluster bias. British Journal of Mathematical and Statistical Psychology, 68, 434-455.

Delforterie, M.J., Creemers, H.E., Agrawal, A., Lynskey, M.T., Jak, S., van der Ende, J., Verhulst, F.C., & Huizink, A.C. (2015). Functioning of cannabis abuse and dependence criteria across two different countries: the United States and the Netherlands. Substance use and misuse, 50, 242-250.

Delforterie, M.J., Creemers, H.E., Agrawal, A., Lynskey, M.T., Jak, S., & Huizink, A C. (2015). The influence of age and gender on the likelihood of endorsing cannabis abuse/dependence criteria. Addictive behaviors, 42, 172-175.

2014

Jak, S., Oort, F.J. & Dolan, C.V. (2014). Using two-level factor analysis to test for cluster bias in ordinal data. Multivariate Behavioral Research, 49, 544-553.

Jak, S. (2014). Testing strong factorial invariance using three-level structural equation modeling. Frontiers in Psychology, 5, 745. DOI: 10.3389/fpsyg.2014.00745.

Jak, S., Oort, F.J. & Dolan, C.V. (2014). Measurement bias in multilevel data. Structural Equation Modeling, 21, 31-39.

Hoeve, M., Jak, S., Stams, G.J. & Meeus, W.H.J. (2014). Financial problems and delinquency in adolescents and young adults: A six-year three-wave study. Crime & Delinquency. DOI: 0011128714541190.

2013

Jak, S., Oort, F.J. & Dolan, C.V. (2013). A test for cluster bias: Detecting violations of measurement invariance across clusters in multilevel data. Structural Equation Modeling, 20, 265-282.

Jak, S., Oort, F.J., Roorda, D.L., & Koomen, H.M.Y. (2013). Meta-analytic structural equation modeling with missing correlations. Netherlands Journal of Psychology, 67, 132-139.

Barendse, M.T., Oort, F.J., Jak, S. & Timmerman, M.E. (2013). Multilevel exploratory factor analysis of discrete data. Netherlands Journal of Psychology, 67, 114-121.

Merz, E.M. & Jak, S. (2013). The long reach of childhood: Social relationships across the life course. Advances in Life Course Research, 18, 212-222.

2012

Jak, S., Zand Scholten, A. & Oort, F.J. (2012). Preface: Non-standard structural equation modeling. Netherlands Journal of Psychology, 67, 46-47.

Spilt, J., Koomen, H.M.Y & Jak, S. (2012). Are boys better off with male and girls with female teachers? A multilevel investigation of measurement invariance and gender match in teacher-student relationship quality. Journal of School Psychology, 50, 363-378.

Koomen , H.M.Y, Verschueren, K., van Schooten, E., Jak, S. & Pianta, R. C. (2012). Validating the Student-Teacher Relationship Scale: Testing factor structure and measurement invariance across child gender and age in a Dutch sample. Journal of School Psychology, 50, 215-234.

Griffioen, D., de Jong, U. & Jak, S. (2012). Research self-efficacy of lecturers in non-university higher education. Innovation in Education and Teaching International, 50, 25-37.

2010

Jak, S., Oort, F.J. & Dolan, C.V. (2010). Measurement bias and multidimensionality; an illustration of bias detection in multidimensional measurement models. Advances in Statistical Analysis, 94, 129-137.

Jak, S. & Evers, A.V.A.M. (2010). Een vernieuwd meetinstrument voor organizational commitment. Gedrag en Organisatie, 23, 158-171.