Ellen Hamaker
Ellen Hamaker
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A critique of the cross-lagged panel model.
EL Hamaker, RM Kuiper, RPPP Grasman
Psychological methods 20 (1), 102, 2015
Why researchers should think" within-person": A paradigmatic rationale.
EL Hamaker
The Guilford Press, 2012
Dynamic structural equation models
T Asparouhov, EL Hamaker, B Muthén
Structural equation modeling: a multidisciplinary journal 25 (3), 359-388, 2018
Three extensions of the random intercept cross-lagged panel model
JD Mulder, EL Hamaker
Structural Equation Modeling, 2020
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
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
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
The integrated trait–state model
EL Hamaker, JR Nesselroade, PCM Molenaar
Journal of research in personality 41 (2), 295-315, 2007
A unified framework of longitudinal models to examine reciprocal relations.
S Usami, K Murayama, EL Hamaker
Psychological methods 24 (5), 637, 2019
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
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
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
Investigating inter-individual differences in short-term intra-individual variability.
LP Wang, E Hamaker, CS Bergeman
Psychological methods 17 (4), 567, 2012
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
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
To center or not to center? Investigating inertia with a multilevel autoregressive model
EL Hamaker, RPPP Grasman
Frontiers in psychology 5, 1492, 2015
Modeling affect dynamics: State of the art and future challenges
EL Hamaker, E Ceulemans, R Grasman, F Tuerlinckx
Emotion Review 7 (4), 316-322, 2015
A multilevel AR (1) model: Allowing for inter-individual differences in trait-scores, inertia, and innovation variance
J Jongerling, JP Laurenceau, EL Hamaker
Multivariate behavioral research 50 (3), 334-349, 2015
Modeling nonstationary emotion dynamics in dyads using a time-varying vector-autoregressive model
LF Bringmann, E Ferrer, EL Hamaker, D Borsboom, F Tuerlinckx
Multivariate behavioral research 53 (3), 293-314, 2018
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
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