Zsuzsa Bakk
Assistant professor
- Name
- Dr. Z. Bakk
- Telephone
- +31 71 527 8032
- z.bakk@fsw.leidenuniv.nl
- ORCID iD
- 0000-0001-9352-4812
Zsuzsa Bakk is Assistant Professor (UD) at the unit Methodology & Statistics of the Institute of Psychology at Leiden University. Her main research interests are in latent variable modeling and survey methodology.
Zsuzsa has a diverse background, having worked next to academia also in business as HR analytics data scientist at Shell, and as Educational Policy advisor at OECD supporting the methodological work around the PISA project family. She is fascinated by bringing academic and applied knowledge closer.
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 Methodology & Statistics, at Tilburg university. 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 stepwise latent class analysis" took place in October 2015. Her PhD thesis was awarded the Distinguished Dissertation Award, by the North American Classification Society, 2016
Zsuzsa teaches a course on latent variable models, coordinates the course Academic skills tutorial, 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.
Zsuzsa is interested in cooperation bringing academic and applied (policy oriented) research closer.
Assistant professor
- Faculteit der Sociale Wetenschappen
- Instituut Psychologie
- Methodologie & Statistiek
- Frel D.L. den, Wicks H., Bakk Z., Keulen N. van, Adrichem V. van, Tussenbroek N. van, Atsma D.E. & Janssen V.R. (2023), Development, internal reliability and preliminary construct validity of the Dutch Dietary Intention Evaluation Tool for In-patients (DIETI), Nutrition, Metabolism and Cardiovascular Diseases 33(1): 56-64.
- De Rooij M.J., Karch J.D., Fokkema M., Bakk Z., Pratiwi B.C. & Kelderman H. (2022), SEM-based out-of-sample predictions, Structural Equation Modeling: A Multidisciplinary Journal : 1-17.
- Brysbaert M., Bakk Z., Buchanan E.M., Drieghe D., Frey A., Kim E., Kuperman V., Madan C.R., Marelli M., Mathôt S., Valdivia D.S. & Yap M. (2022), Correction to: Editorial: into a new decade, Behavior Research Methods 54: 1050.
- Oser J., Hooghe M., Bakk Z. & Di Mari R. (2022), Changing citizenship norms among adolescents, 1999-2009-2016: a two-step latent class approach with measurement equivalence testing, Quality and Quantity 2022: 1-19.
- Bakk Z., Di Mari R., Oser J. & Kuha J. (2021), Two-stage multilevel latent class analysis with covariates in the presence of direct effects, Structural Equation Modeling: A Multidisciplinary Journal 29(2): 267-277.
- 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. (Eds.) (2021), Editorial Into a new decade. Behavior Research Methods: SPRINGER.
- 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.
- 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.
- Mari R. di, Bakk Z. & Punzo A. (2020), A Random-covariate Approach for Distal Outcome Prediction with Latent Class Analysis, Structural Equation Modeling: A Multidisciplinary Journal 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.
- Bakk Z. & Kuha J. (2018), Two-Step Estimation of Models Between Latent Classes and External Variables, Psychometrika 83(4): 871-892.
- 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 200: 249-257.
- 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 & Medicine 200: 249-257.
- 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.
- Bakk Z. & Le Roux N.J. (2017), Visualizing latent class models with analysis-of-distance BIPLOTS, Sociological Methodology 47(1): 345-378.
- 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. & Vermunt J.K. (2016), Robustness of stepwise latent class modeling with continuous distal outcomes, Structural Equation Modeling: A Multidisciplinary Journal 23(1): 20-31.
- 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.
- 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. & Vermunt J.K. (2013), Step-3 Tutorial #1: Step-3 models with covariates, distal outcomes, and multiple latent variables.
- 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., Tekle F.B. & Vermunt J.K. (2013), Estimating the association between latent class membership and external variables using bias-adjusted three-step approaches, Sociological Methodology 43(1): 272-311.
- Associate Editor Behavior Research Methods