A critique of the cross-lagged panel model. EL Hamaker, RM Kuiper, RPPP Grasman Psychological methods 20 (1), 102, 2015 | 3310 | 2015 |
Dynamic structural equation models T Asparouhov, EL Hamaker, B Muthén Structural equation modeling: a multidisciplinary journal 25 (3), 359-388, 2018 | 916 | 2018 |
Why researchers should think" within-person": A paradigmatic rationale. EL Hamaker The Guilford Press, 2012 | 890 | 2012 |
Three extensions of the random intercept cross-lagged panel model JD Mulder, EL Hamaker Structural Equation Modeling, 2020 | 775 | 2020 |
At the frontiers of modeling intensive longitudinal data: Dynamic structural equation models for the affective measurements from the COGITO study EL Hamaker, T Asparouhov, A Brose, F Schmiedek, B Muthén Multivariate behavioral research 53 (6), 820-841, 2018 | 497 | 2018 |
No time like the present: Discovering the hidden dynamics in intensive longitudinal data EL Hamaker, M Wichers Current Directions in Psychological Science 26 (1), 10-15, 2017 | 491 | 2017 |
A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus. D McNeish, EL Hamaker Psychological methods 25 (5), 610, 2020 | 482 | 2020 |
A unified framework of longitudinal models to examine reciprocal relations. S Usami, K Murayama, EL Hamaker Psychological methods 24 (5), 637, 2019 | 399 | 2019 |
From data to causes I: Building a general cross-lagged panel model (GCLM) MJ Zyphur, PD Allison, L Tay, MC Voelkle, KJ Preacher, Z Zhang, ... Organizational Research Methods 23 (4), 651-687, 2020 | 343 | 2020 |
The integrated trait–state model EL Hamaker, JR Nesselroade, PCM Molenaar Journal of research in personality 41 (2), 295-315, 2007 | 337 | 2007 |
How to compare cross-lagged associations in a multilevel autoregressive model. NK Schuurman, E Ferrer, M de Boer-Sonnenschein, EL Hamaker Psychological methods 21 (2), 206, 2016 | 322 | 2016 |
Statistical modeling of the individual: Rationale and application of multivariate stationary time series analysis EL Hamaker, CV Dolan, PCM Molenaar Multivariate behavioral research 40 (2), 207-233, 2005 | 311 | 2005 |
The fixed versus random effects debate and how it relates to centering in multilevel modeling. EL Hamaker, B Muthén Psychological methods 25 (3), 365, 2020 | 279 | 2020 |
Investigating inter-individual differences in short-term intra-individual variability. LP Wang, E Hamaker, CS Bergeman Psychological methods 17 (4), 567, 2012 | 254 | 2012 |
Changing dynamics: Time-varying autoregressive models using generalized additive modeling. LF Bringmann, EL Hamaker, DE Vigo, A Aubert, D Borsboom, ... Psychological methods 22 (3), 409, 2017 | 215 | 2017 |
Psychopathological networks: Theory, methods and practice LF Bringmann, C Albers, C Bockting, D Borsboom, E Ceulemans, ... Behaviour Research and Therapy 149, 104011, 2022 | 201 | 2022 |
To center or not to center? Investigating inertia with a multilevel autoregressive model EL Hamaker, RPPP Grasman Frontiers in psychology 5, 1492, 2015 | 189 | 2015 |
Modeling affect dynamics: State of the art and future challenges EL Hamaker, E Ceulemans, RPPP Grasman, F Tuerlinckx Emotion Review 7 (4), 316-322, 2015 | 186 | 2015 |
Discrete-vs. continuous-time modeling of unequally spaced experience sampling method data S de Haan-Rietdijk, MC Voelkle, L Keijsers, EL Hamaker Frontiers in psychology 8, 1849, 2017 | 174 | 2017 |
Time to get personal? The impact of researchers choices on the selection of treatment targets using the experience sampling methodology JA Bastiaansen, YK Kunkels, FJ Blaauw, SM Boker, E Ceulemans, ... Journal of psychosomatic research 137, 110211, 2020 | 165 | 2020 |