- edoc-Server Home
- Browsing by Author
Browsing by Author "Hamaker, Ellen L."
Now showing items 1-4 of 4
-
2017-10-20ZeitschriftenartikelDiscrete- vs. Continuous-Time Modeling of Unequally Spaced Experience Sampling Method Data de Haan-Rietdijk, Silvia; Voelkle, Manuel; Keijsers, Loes; Hamaker, Ellen L.The Experience Sampling Method is a common approach in psychological research for collecting intensive longitudinal data with high ecological validity. One characteristic of ESM data is that it is often unequally spaced, ...
-
2020-10ZeitschriftenartikelFrom Data to Causes I: Building A General Cross-Lagged Panel Model (GCLM) Zyphur, Michael; Allison, Paul D; Tay, Louis; Voelkle, Manuel; Preacher, Kristopher; Zhang, Zhen; Hamaker, Ellen L.; Shamsollahi, Ali; Pierides, Dean C.; Koval, Peter; Diener, EdThis is the first paper in a series of two that synthesizes, compares, and extends methods for causal inference with longitudinal panel data in a structural equation modeling (SEM) framework. Starting with a cross-lagged ...
-
2020-10ZeitschriftenartikelFrom Data to Causes II: Comparing Approaches to Panel Data Analysis Zyphur, Michael; Voelkle, Manuel; Tay, Louis; Allison, Paul D.; Preacher, Kristopher; Zhang, Zhen; Hamaker, Ellen L.; Shamsollahi, Ali; Pierides, Dean C.; Koval, Peter; Diener, EdThis article compares a general cross-lagged model (GCLM) to other panel data methods based on their coherence with a causal logic and pragmatic concerns regarding modeled dynamics and hypothesis testing. We examine three ...
-
2021-02-15ZeitschriftenartikelFrom Data to Causes III: Bayesian Priors for General Cross-Lagged Panel Models (GCLM) Zyphur, Michael; Hamaker, Ellen L.; Tay, Louis; Voelkle, Manuel; Preacher, Kristopher J.; Zhang, Zhen; Allison, Paul D; Pierides, Dean C.; Koval, Peter; Diener, Edward F.This article describes some potential uses of Bayesian estimation for time-series and panel data models by incorporating information from prior probabilities (i.e., priors) in addition to observed data. Drawing on econometrics ...