| 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 | 1241 | 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 | 959 | 2008 |
| Umgang mit fehlenden Werten in der psychologischen Forschung O Lüdtke, A Robitzsch, U Trautwein, O Köller Psychologische Rundschau 58 (2), 103-117, 2007 | 878 | 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 | 619 | 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 | 571 | 2009 |
| TAM: Test analysis modules A Robitzsch, T Kiefer, M Wu R Package, 0 | 529* | |
| 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 | 386 | 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 | 328 | 2011 |
| 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 | 324 | 2020 |
| miceadds: Some additional multiple imputation functions, especially for ‘mice’ A Robitzsch, S Grund, T Henke R Package, 0 | 292* | |
| sirt: Supplementary item response theory models A Robitzsch R Package, 0 | 284* | |
| 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 | 227 | 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 | 177 | 2016 |
| mitml: Tools for multiple imputation in multilevel modeling S Grund, A Robitzsch, O Luedtke R package version, 0 | 168* | |
| CDM: Cognitive diagnosis modeling A Robitzsch, T Kiefer, AC George, A Uenlue R Package, 0 | 159* | |
| 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 | 151 | 2017 |
| 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 | 148 | 2016 |
| 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 | 132 | 2016 |
| 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 | 129 | 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 | 127 | 2016 |
