Zsuzsa Bakk is Assistant Professor (UD) at the unit Methodology & Statistics of the Institute of Psychology at Leiden University. Her research interests are in latent variable modeling and survey methodology.
Zsuzsa obtained a BA degree in Sociology at Babes Bolyai University in Romania (2004), and MA degree in HRM (2006) from the same university. After working for a few years in HR consulting for the NGO sector she followed the Research Master program in Social and Behavioral Sciences, with a specialization in Methodology & Statistics, at Tilburg university, and obtained her degree in 2011. Following she did her PhD at Tilburg University focusing on the development of stepwise approaches to latent class modeling. The defense of her dissertation "Contributions to bias adjusted stewpise latent class analysis" took place in October 2015.
Zsuzsa is a lecturer and tutor for the first year bachelors course Experimental and Correlational Research, and also tutor for the bachelor course Perspectives on career planning.
- 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.
- 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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