Thinking clearly about time-invariant confounders in cross-lagged panel models: A guide for choosing a statistical model from a causal inference perspective.

Authors

Thomas Gfrörer (ORCID: https://orcid.org/0000-0002-4817-2296)
Kou Murayama (ORCID: https://orcid.org/0000-0003-2902-9600)

Institutions

Institute of Education Sciences (US)

Publication Details

Journal: Psychological Methods
Published: 2024-09-19
DOI: https://doi.org/10.1037/met0000647
Citations: 38
Primary Topic: Spatial and Panel Data Analysis
Type: article
Field-Weighted Citation Impact: 41.78

Funders

Alexander von Humboldt-Stiftung
Jacobs Foundation

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article

Thinking clearly about time-invariant confounders in cross-lagged panel models: A guide for choosing a statistical model from a causal inference perspective.

Thomas Gfrörer, Kou Murayama

Sep 19, 2024

38 citations

Psychological Methods

Spatial and Panel Data Analysis

41.78

article

Thinking clearly about time-invariant confounders in cross-lagged panel models: A guide for choosing a statistical model from a causal inference perspective.

Thomas Gfrörer, Kou Murayama

September 19, 2024article en

38 citations

Abstract

No abstract available for this paper.

Psychological MethodsVol. 30(6)

Institute of Education Sciences (US)

Alexander von Humboldt-Stiftung, Jacobs Foundation

Reduced inequalities

Openalex Percentile: Top 0%

Spatial and Panel Data Analysis

41.78

DOI Source OpenAlex

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