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Steffen Zitzmann
Steffen Zitzmann
Professor (Full) of Quantitative Methods, Medical School Hamburg
Bestätigte E-Mail-Adresse bei medicalschool-hamburg.de
Titel
Zitiert von
Zitiert von
Jahr
A meta-analysis of relations between achievement and self-concept
J Möller, S Zitzmann, F Helm, N Machts, F Wolff
Review of Educational Research 90 (3), 376-419, 2020
1742020
Going beyond convergence in Bayesian estimation: Why precision matters too and how to assess it
S Zitzmann, M Hecht
Structural Equation Modeling: A Multidisciplinary Journal 26 (4), 646-661, 2019
902019
A Bayesian approach for estimating multilevel latent contextual models
S Zitzmann, O Lüdtke, A Robitzsch, HW Marsh
Structural Equation Modeling: A Multidisciplinary Journal 23 (5), 661-679, 2016
722016
Examining the presence and determinants of operational momentum in childhood
A Knops, S Zitzmann, K McCrink
Frontiers in Psychology 4, 46644, 2013
722013
On the performance of Bayesian approaches in small samples: A comment on Smid, McNeish, Miocevic, and van de Schoot (2020)
S Zitzmann, O Lüdtke, A Robitzsch, M Hecht
Structural Equation Modeling: A Multidisciplinary Journal 28, 40-50, 2021
692021
A Bayesian approach to more stable estimates of group-level effects in contextual studies
S Zitzmann, O Lüdtke, A Robitzsch
Multivariate Behavioral Research 50 (6), 688-705, 2015
582015
Sample size recommendations for continuous-time models: Compensating shorter time series with larger numbers of persons and vice versa
M Hecht, S Zitzmann
Structural Equation Modeling: A Multidisciplinary Journal 28, 229-236, 2021
562021
Disapproved, but tolerated: The role of respect in outgroup tolerance
B Simon, S Eschert, CD Schaefer, KM Reininger, S Zitzmann, HJ Smith
Personality and Social Psychology Bulletin 45 (3), 406-415, 2019
472019
A computationally more efficient and more accurate stepwise approach for correcting for sampling error and measurement error
S Zitzmann
Multivariate Behavioral Research 53 (5), 612-632, 2018
432018
Multilevel analysis of mediation, moderation, and nonlinear effects in small samples, using expected a posteriori estimates of factor scores
S Zitzmann, C Helm
Structural Equation Modeling: A Multidisciplinary Journal, 2021
412021
The "situative nature" of competence and value beliefs and the predictive power of autonomy support: A multilevel investigation of repeated observations
C Parrisius, H Gaspard, S Zitzmann, U Trautwein, B Nagengast
Journal of Educational Psychology, 1-24, 2021
392021
A computationally more efficient Bayesian approach for estimating continuous-time models
M Hecht, S Zitzmann
Structural Equation Modeling: A Multidisciplinary Journal 27 (6), 829-840, 2020
292020
Prior specification for more stable Bayesian estimation of multilevel latent variable models in small samples: A comparative investigation of two different approaches
S Zitzmann, C Helm, M Hecht
Frontiers in Psychology 11, 611267, 2021
262021
Integrating out nuisance parameters for computationally more efficient Bayesian estimation – An illustration and tutorial
M Hecht, C Gische, D Vogel, S Zitzmann
Structural Equation Modeling: A Multidisciplinary Journal 27 (3), 483-493, 2020
262020
How many classes and students should ideally be sampled when assessing the role of classroom climate via student ratings on a limited budget? An optimal design perspective
S Zitzmann, W Wagner, M Hecht, C Helm, C Fischer, L Bardach, R Göllner
Educational Psychology Review, 2022
242022
Exploring the unfolding of dynamic effects with continuous-time models: Recommendations concerning statistical power to detect peak cross-lagged effects
M Hecht, S Zitzmann
Structural Equation Modeling, 2021
232021
Does respect foster tolerance? (Re)analyzing and synthesizing data from a large research project using meta-analytic techniques
S Zitzmann, L Loreth, KM Reininger, B Simon
Personality and Social Psychology Bulletin, 2022
212022
A primer on continuous-time modeling in educational research: An exemplary application of a continuous-time latent curve model with structured residuals (CT-LCM-SR) to PISA Data
JF Lohmann, S Zitzmann, MC Voelkle, M Hecht
Large-scale Assessments in Education 10 (1), 1-32, 2022
182022
Using the effective sample size as the stopping criterion in Markov chain Monte Carlo with the Bayes module in Mplus
S Zitzmann, S Weirich, M Hecht
Psych, 2021
182021
How strong Is the evidence for a causal reciprocal effect? Contrasting traditional and new methods to investigate the reciprocal effects model of self-concept and achievement
N Hübner, W Wagner, S Zitzmann, B Nagengast
Educational Psychology Review, 2023
152023
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