Zsuzsa Bakk
Universitair docent
- Naam
- Dr. Z. Bakk
- Telefoon
- +31 71 527 2727
- z.bakk@fsw.leidenuniv.nl
- ORCID iD
- 0000-0001-9352-4812
De informatie over Zsuzsa Bakk is alleen beschikbaar in het Engels. Meer informatie over Zsuzsa Bakk >
Universitair docent
- Faculteit der Sociale Wetenschappen
- Instituut Psychologie
- Methodologie & Statistiek
- Bakk Z. & Kuha J. (2020), Relating latent class membership to external variables : an overview, British Journal of Mathematical and Statistical Psychology 74(2): 340-362.
- Brysbaert M., Bakk Z., Buchanan E.M., Drieghe D., Frey A., Kim E., Kuperman V., Madan C.R., Marelli M., Mathot S., Valdivia D.S. & Yap M. (2021), Editorial Into a new decade Redactielid BEHAV RES METHODS 53: 1-3.
- Mari R. di, Bakk Z. & Punzo A. (2020), A Random-covariate Approach for Distal Outcome Prediction with Latent Class Analysis, STRUCT EQU MODELING 27: 351-368.
- Janssen J.H.M., Laar S. van, Rooij M.J. de, Kuha J. & Bakk Z. (2019), The Detection and Modeling of Direct Effects in Latent Class Analysis, Structural Equation Modeling: A Multidisciplinary Journal 26(2): 280-290.
- Laken P. van der, Bakk Z., Giagkoulas V., Leeuwen L. van & Bongenaar E. (2018), Expanding the methodological toolbox of HRM researchers: the added value of latent bathtub models and optimal matching analysis, Human Resource Management 57(3): 751-760.
- Meijer E., Putte B. van den, Gebhardt W.A., Laar C. van, Bakk Z., Dijkstra A., Fong G.T., West R. & Willemsen M.C. (2018), A longitudinal study into the reciprocal effects of identities and smoking behaviour : findings from the. ITC Netherlands Survey, Social Science and Medicine 200: 249-257.
- Meijer E., Putte B. van den, Gebhardt W.A., Laar C. van, Bakk Z., Dijkstra A., Fong G.T., West R. & Willemsen M.C. (2018), A longitudinal study into the reciprocal effects of identities and smoking behaviour: Findings from the ITC Netherlands Survey, Social science & medicine (1982) 200: 249-257.
- Bakk Z. & Kuha J. (2018), Two-Step Estimation of Models Between Latent Classes and External Variables, Psychometrika 83(4): 871-892.
- Di Mari R. & Bakk Z. (2018), Mostly Harmless Direct Effects: A Comparison of Different Latent Markov Modeling Approaches, Structural Equation Modeling: A Multidisciplinary Journal 25(3): 467-483.
- Kim M., Vermunt J., Bakk Z., Jaki T. & Van Horn M.L. (2016), Modeling Predictors of Latent Classes in Regression Mixture Models, Structural Equation Modeling: A Multidisciplinary Journal 23(4): 601-614.
- Bakk Z., Oberski D.L. & Vermunt J.K. (2016), Relating latent class membership to continuous distal outcomes: improving the LTB approach and a modified three-step implementation, Structural Equation Modeling: A Multidisciplinary Journal 23(2): 278-289.
- Bakk Z. & Vermunt J.K. (2016), Robustness of stepwise latent class modeling with continuous distal outcomes, Structural Equation Modeling: A Multidisciplinary Journal 23(1): 20-31.
- Meyers M.C., Van Woerkom M., De Reuver R.S.M., Bakk Z. & Oberski D.L. (2015), Enhancing psychological capital and personal growth initiative: working on strengths or deficiencies, Journal of Counseling Psychology 62(1): 50-62.
- Bakk Z., Oberski D.L. & Vermunt J.K. (2014), Relating Latent Class Assignments to External Variables: Standard Errors for Correct Inference, Political Analysis 22(4): 520-540.
- Bakk Z., Tekle F.B. & Vermunt J.K. (2013), Estimating the association between latent class membership and external variables bias-adjusted three-step approaches, Sociological Methodology 43: 272-311.
- Bakk Z. & Vermunt J.K. (2013), Step-3 Tutorial #1: Step-3 models with covariates, distal outcomes, and multiple latent variables.
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