BIP! Finder - From Data to Causes I: Building A General Cross-Lagged Panel Model (GCLM)

2019 • From Data to Causes I: Building A General Cross-Lagged Panel Model (GCLM)

Authors: Kristopher J. Preacher; Zhen Zhang; Louis Tay; Ellen L. Hamaker; Michael J. Zyphur; Dean Pierides; Manuel C. Voelkle; Peter Koval; Paul D. Allison; Ed Diener; Ali Shamsollahi

Venue: Organizational Research Methods

Type: Publication

Abstract: This 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 approach, this paper builds a general cross-lagged panel model (GCLM) with parameters to account for stable factors while increasing the range of dynamic processes that can be modeled. We illustrate the GCLM by examining the relationship between national income and subjective well-being (SWB), showing how to examine hypotheses ... (read more)

Impact:

1.7736677E-7 9.560894E-9 192 98

/ Attention: 0 29

Topics: Econometrics

DOI: 10.1177/1094428119847278

External links: Crossref OpenAIRE

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