Loglinear Rasch model tests H Kelderman Psychometrika 49 (2), 223-245, 1984 | 308 | 1984 |
Detecting treatment-subgroup interactions in clustered data with generalized linear mixed-effects model trees M Fokkema, N Smits, A Zeileis, T Hothorn, H Kelderman Behavior research methods 50, 2016-2034, 2018 | 241 | 2018 |
Loglinear multidimensional IRT models for polytomously scored items H Kelderman, CPM Rijkes Psychometrika 59, 149-176, 1994 | 191* | 1994 |
On the relationship between sources of within-and between-group differences and measurement invariance in the common factor model GH Lubke, CV Dolan, H Kelderman, GJ Mellenbergh Intelligence 31 (6), 543-566, 2003 | 182 | 2003 |
The use of loglinear models for assessing differential item functioning across manifest and latent examinee groups H Kelderman, GB Macready Journal of Educational Measurement 27 (4), 307-327, 1990 | 139 | 1990 |
Response shifts in mental health interventions: an illustration of longitudinal measurement invariance. M Fokkema, N Smits, H Kelderman, P Cuijpers Psychological assessment 25 (2), 520, 2013 | 124 | 2013 |
Fitting a mixture item response theory model to personality questionnaire data: Characterizing latent classes and investigating possibilities for improving prediction AM Maij-de Meij, H Kelderman, H van der Flier Applied Psychological Measurement 32 (8), 611-631, 2008 | 120 | 2008 |
Item bias detection using loglinear IRT H Kelderman Psychometrika 54, 681-697, 1989 | 95 | 1989 |
Multidimensional Rasch models for partial-credit scoring H Kelderman Applied Psychological Measurement 20 (2), 155-168, 1996 | 79 | 1996 |
Improvement in detection of differential item functioning using a mixture item response theory model AM Maij-de Meij, H Kelderman, H van der Flier Multivariate Behavioral Research 45 (6), 975-999, 2010 | 64 | 2010 |
Weak measurement invariance with respect to unmeasured variables: An implication of strict factorial invariance GH Lubke, CV Dolan, H Kelderman, GJ Mellenbergh British Journal of Mathematical and Statistical Psychology 56 (2), 231-248, 2003 | 64 | 2003 |
Construct validation of the Amblyopia and Strabismus Questionnaire (A&SQ) by factor analysis ES van de Graaf, J Felius, H van Kempen-du Saar, CWN Looman, ... Graefe's Archive for Clinical and Experimental Ophthalmology 247, 1263-1268, 2009 | 58 | 2009 |
Psychometric properties of the Leiden Index of Depression Sensitivity (LEIDS). E Solis, N Antypa, JM Conijn, H Kelderman, W Van der Does Psychological assessment 29 (2), 158, 2017 | 57 | 2017 |
The effect of individual differences in factor loadings on the standard factor model H Kelderman, PCM Molenaar Multivariate Behavioral Research 42 (3), 435-456, 2007 | 53 | 2007 |
Investigating group differences on cognitive tests using Spearman's hypothesis: An evaluation of Jensen's method GH Lubke, CV Dolan, H Kelderman Multivariate Behavioral Research, 36 (3), 299-324, 2001 | 47 | 2001 |
The Mixed Birnbaum Model: Estimation Using Collateral Information. JA Smit, H Kelderman, H van der Flier Methods of Psychological Research Online 5, 1-13, 2000 | 46 | 2000 |
Examining differential item functioning due to item difficulty and alternative attractiveness P Westers, H Kelderman Psychometrika 57, 107-118, 1992 | 45 | 1992 |
Collateral information and mixed rasch models. JA Smit, H Kelderman, H van der Flier Methods of Psychological Research Online 4 (3), 1-13, 1999 | 43 | 1999 |
On growth curves and mixture models JB Hoeksma, H Kelderman Infant and Child Development: An International Journal of Research and …, 2006 | 40 | 2006 |
Linear models for the analysis and construction of instruments in a facet design. GJ Mellenbergh, H Kelderman, JG Stijlen, E Zondag Psychological Bulletin 86 (4), 766, 1979 | 38 | 1979 |