An SEM approach to continuous time modeling of panel data: relating authoritarianism and anomia. MC Voelkle, JHL Oud, E Davidov, P Schmidt Psychological methods 17 (2), 176, 2012 | 359 | 2012 |
Continuous time state space modeling of panel data by means of SEM JHL Oud, RARG Jansen Psychometrika 65, 199-215, 2000 | 248 | 2000 |
Continuous time structural equation modeling with R package ctsem CC Driver, JHL Oud, MC Voelkle Journal of Statistical Software 77, 1-35, 2017 | 237 | 2017 |
Development of decoding, reading comprehension, vocabulary and spelling during the elementary school years C Aarnoutse, J Van Leeuwe, M Voeten, H Oud Reading and Writing 14, 61-89, 2001 | 181 | 2001 |
Continuous time modelling with individually varying time intervals for oscillating and non‐oscillating processes MC Voelkle, JHL Oud British Journal of Mathematical and Statistical Psychology 66 (1), 103-126, 2013 | 173 | 2013 |
Continuous time modeling of panel data by means of SEM JHL Oud, MJMH Delsing Longitudinal research with latent variables, 201-244, 2010 | 119 | 2010 |
The relationship between mutual family relations and child psychopathology JJJP Mathijssen, HM Koot, FC Verhulst, EEJ De Bruyn, JHL Oud The Journal of Child Psychology and Psychiatry and Allied Disciplines 39 (4 …, 1998 | 108 | 1998 |
A structural equation approach to models with spatial dependence JHL Oud, H Folmer Geographical analysis 40 (2), 152-166, 2008 | 86 | 2008 |
Relating latent change score and continuous time models MC Voelkle, JHL Oud Structural Equation Modeling: A Multidisciplinary Journal 22 (3), 366-381, 2015 | 84 | 2015 |
Continuous time modeling of the cross-lagged panel design JHL Oud Kwantitatieve Methoden 69 (01), 1-26, 2002 | 81 | 2002 |
How to get rid of W: a latent variables approach to modelling spatially lagged variables H Folmer, J Oud Environment and Planning A 40 (10), 2526-2538, 2008 | 80 | 2008 |
Information and other criteria in structural equation model selection DMA Haughton, JHL Oud, RARG Jansen Communications in Statistics-Simulation and Computation 26 (4), 1477-1516, 1997 | 80 | 1997 |
Continuous Time Modeling of Reciprocal Relationships in the Cross—Lagged Panel Design JHL Oud Data analytic techniques for dynamical systems, 87-129, 2012 | 74 | 2012 |
The urban knowledge economy and employment growth: a spatial structural equation modeling approach FG Van Oort, JHL Oud, O Raspe The Annals of Regional Science 43, 859-877, 2009 | 69 | 2009 |
Current and recollected perceptions of family relationships: the social relations model approach applied to members of three generations. MJMH Delsing, JHL Oud, EEJ De Bruyn, MAG Van Aken Journal of family psychology 17 (4), 445, 2003 | 66 | 2003 |
Determinants of rural industrial entrepreneurship of farmers in West Bengal: a structural equations approach H Folmer, S Dutta, H Oud International Regional Science Review 33 (4), 367-396, 2010 | 61 | 2010 |
Service needs of parents with motor or multiply disabled children in Dutch therapeutic toddler classes AHC Hendriks, JMH De Moor, JHL Oud, WM Franken Clinical rehabilitation 14 (5), 506-517, 2000 | 60 | 2000 |
Continuous time modeling of panel data: SEM versus filter techniques JHL Oud, H Singer Statistica Neerlandica 62 (1), 4-28, 2008 | 59 | 2008 |
Maximum likelihood dynamic factor modeling for arbitrary N and T using SEM MC Voelkle, JHL Oud, T von Oertzen, U Lindenberger Structural Equation Modeling: A Multidisciplinary Journal 19 (3), 329-350, 2012 | 56 | 2012 |
Longitudinal research with latent variables K Van Montfort, JHL Oud, A Satorra Springer Science & Business Media, 2010 | 55 | 2010 |