Alexander Robitzsch
Alexander Robitzsch
IPN - Leibniz Institute for Science and Mathematics Education, Kiel, Germany
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Cited by
Cited by
Exploratory structural equation modeling, integrating CFA and EFA: Application to students' evaluations of university teaching
HW Marsh, B Muthén, T Asparouhov, O Lüdtke, A Robitzsch, AJS Morin, ...
Structural Equation Modeling 16 (3), 439-476, 2009
The multilevel latent covariate model: A new, more reliable approach to group-level effects in contextual studies
O Lüdtke, HW Marsh, A Robitzsch, U Trautwein, T Asparouhov, B Muthén
Psychological Methods 13 (3), 203-229, 2008
Umgang mit fehlenden Werten in der psychologischen Forschung
O Lüdtke, A Robitzsch, U Trautwein, O Köller
Psychologische Rundschau 58 (2), 103-117, 2007
Assessing the impact of learning environments: How to use student ratings of classroom or school characteristics in multilevel modeling
O Lüdtke, A Robitzsch, U Trautwein, M Kunter
Contemporary Educational Psychology 34 (2), 120-131, 2009
Doubly-latent models of school contextual effects: Integrating multilevel and structural equation approaches to control measurement and sampling error
HW Marsh, O Lüdtke, A Robitzsch, U Trautwein, T Asparouhov, B Muthén, ...
Multivariate Behavioral Research 44 (6), 764-802, 2009
TAM: Test analysis modules
A Robitzsch, T Kiefer, M Wu
R Package, 0
Difficulties in solving context-based PISA mathematics tasks: An analysis of students' errors
A Wijaya, M van den Heuvel-Panhuizen, M Doorman, A Robitzsch
The Mathematics Enthusiast 11 (3), 555-584, 2014
A 2× 2 taxonomy of multilevel latent contextual models: Accuracy–bias trade-offs in full and partial error correction models
O Lüdtke, HW Marsh, A Robitzsch, U Trautwein
Psychological Methods 16 (4), 444-467, 2011
miceadds: Some additional multiple imputation functions, especially for ‘mice’
A Robitzsch, S Grund, T Henke
R Package, 0
sirt: Supplementary item response theory models
A Robitzsch
R Package, 0
Why ordinal variables can (almost) always be treated as continuous variables: Clarifying assumptions of robust continuous and ordinal factor analysis estimation methods
A Robitzsch
Frontiers in Education 5, 589965, 2020
Multiple imputation of missing data for multilevel models: Simulations and recommendations
S Grund, O Lüdtke, A Robitzsch
Organizational Research Methods 21 (1), 111-149, 2018
The R package CDM for cognitive diagnosis models
AC George, A Robitzsch, T Kiefer, J Groß, A Ünlü
Journal of Statistical Software 74, 1-24, 2016
CDM: Cognitive diagnosis modeling
A Robitzsch, T Kiefer, AC George, A Uenlue
R Package, 0
Effects of reading picture books on kindergartners’ mathematics performance
M van den Heuvel-Panhuizen, I Elia, A Robitzsch
Educational Psychology 36 (2), 323-346, 2016
Multiple imputation of missing data in multilevel designs: A comparison of different strategies.
O Lüdtke, A Robitzsch, S Grund
Psychological Methods 22 (1), 141-164, 2017
Exploring factor model parameters across continuous variables with local structural equation models
A Hildebrandt, O Lüdtke, A Robitzsch, C Sommer, O Wilhelm
Multivariate Behavioral Research 51 (2-3), 257-278, 2016
mitml: Tools for multiple imputation in multilevel modeling
S Grund, A Robitzsch, O Luedtke
R package version, 2018
Effects of playing mathematics computer games on primary school students’ multiplicative reasoning ability
M Bakker, M van den Heuvel-Panhuizen, A Robitzsch
Contemporary Educational Psychology 40, 55-71, 2015
Multiple imputation of multilevel missing data: An introduction to the R package pan
S Grund, O Lüdtke, A Robitzsch
SAGE Open 6 (4), 2158244016668220, 2016
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