| Loglinear Rasch model tests H Kelderman Psychometrika 49 (2), 223-245, 1984 | 285 | 1984 |
| 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 | 180 | 2003 |
| Loglinear multidimensional IRT models for polytomously scored items H Kelderman, CPM Rijkes Psychometrika 59, 149-176, 1994 | 176 | 1994 |
| 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 | 155 | 2018 |
| 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 | 135 | 1990 |
| 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 | 112 | 2008 |
| 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 | 94 | 2013 |
| Item bias detection using loglinear IRT H Kelderman Psychometrika 54, 681-697, 1989 | 92 | 1989 |
| Multidimensional Rasch models for partial-credit scoring H Kelderman Applied Psychological Measurement 20 (2), 155-168, 1996 | 72 | 1996 |
| 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 | 59 | 2003 |
| 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 | 58 | 2010 |
| 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 | 57 | 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 | 53 | 2017 |
| 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 | 49 | 2001 |
| 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 | 46 | 2007 |
| The mixed Birnbaum model: Estimation using collateral information A Smit, H Kelderman, H van der Flier Methods of Psychological Research Online 5 (4), 31-43, 2000 | 46 | 2000 |
| Collateral information and mixed Rasch models A Smit, H Kelderman, H van der Flier Methods of Psychological Research Online 4 (3), 19-32, 1999 | 43 | 1999 |
| On growth curves and mixture models JB Hoeksma, H Kelderman Infant and Child Development: An International Journal of Research and …, 2006 | 37 | 2006 |
| Examining differential item functioning due to item difficulty and alternative attractiveness P Westers, H Kelderman Psychometrika 57, 107-118, 1992 | 36 | 1992 |
| 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 | 35 | 1979 |
Niels SmitsMethods & Statistics, Research Institute of Child Development and Education, University of AmsterdamVerified email at niels.dds.nl
