The DOI matches its Crossref record; 39 of the 41 references it cites were found in a registry or an index.
Mediation Models for Longitudinal Data in Developmental Research
Abstract
Mediation models are used to describe the mechanism(s) by which one variable influences another. These models can be useful in developmental research to explicate the relationship between variables, developmental processes, or combinations of variables and processes. In this article we describe aspects of mediation effects specific to developmental research. We focus on three central issues in longitudinal mediation models: the theory of change for variables in the model, the role of time in the model, and the types of indirect effects in the model. We use these themes as we describe three different models for examining mediation in longitudinal data.
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“This type of analysis is recommended for repeated measurements and multiple mediators, because they allow for a more dynamic approach to mediation, by assessing changes in multiple variables and their interrelations over time [103–105].”
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Metadata
- Authors
- Selig, J. P., & Preacher, K. J.
- Affiliations
- University of Kansas (US)
- Corresponding author
- Selig, James P.
- Venue
- Research in Human Development
- Publisher
- Informa UK Limited
- Published
- 2009-06-01
- Volume
- 6
- Issue
- 2-3
- Pages
- 144-164
- ISSN
- 1542-7609 (ISSN-L)
- 1542-7617
- OpenAlex
- W2112284812
- Cited by
- 804
- References
- 41
- Citations by year
- 2026: 73 · 2025: 57 · 2024: 50 · 2023: 57 · 2022: 60 · 2021: 58 · 2020: 59 · 2019: 48 · 2018: 65 · 2017: 61 · 2016: 60 · 2015: 50 · 2014: 46 · 2013: 23 · 2012: 16
- FWCI
- 9.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Research in Human Development (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Keywords
- mediation model, longitudinal data, developmental research, theory of change, indirect effects, developmental processes, mediation analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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