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Addressing Heterogeneity in Longitudinal Intervention Effects Using a Causal Mediation Framework /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Addressing Heterogeneity in Longitudinal Intervention Effects Using a Causal Mediation Framework /Hanna Kim.
Author:	Kim, Hanna,
Description:	1 electronic resource (164 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
Notes:	Advisors: Kim, Jee-Seon Committee members: Kaplan, David; Pustejovsky, James E.; Kang, Hyunseung; Steiner, Peter M.
Contained By:	Dissertations Abstracts International86-02B.
Subject:	Educational psychology.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31559030
ISBN:	9798384012481

Addressing Heterogeneity in Longitudinal Intervention Effects Using a Causal Mediation Framework /
Kim, Hanna,

Addressing Heterogeneity in Longitudinal Intervention Effects Using a Causal Mediation Framework /Hanna Kim. - 1 electronic resource (164 pages)

Source: Dissertations Abstracts International, Volume: 86-02, Section: B.

An essential challenge in evaluating the effects of educational practices over time lies in examining the mechanisms through which an intervention operates. Traditional statistical methods, which primarily focus on analyzing average intervention effects, fail to provide adequate information on how these effects are transmitted through multiple pathways and the degree of heterogeneity across diverse groups within a target population. This dissertation explores the use of causal mediation analysis methods to evaluate how the effects of an intervention develop over time by influencing subsequent practices.Chapters 1 and 2 conceptualize the long-term effect of an earlier intervention and the mediating effect of a subsequent educational practice as natural direct and indirect effects, respectively, within the causal mediation framework. Chapter 3 introduces an extension to the causal mediation effect estimators, enabling the investigation of groupwise heterogeneity in both long-term and mediating effects. In Chapter 4, the parametric closed-form point estimators of natural direct and indirect effects are further extended by incorporating clustered data estimation techniques to account for cluster-level confounding.Throughout this dissertation, the effect of the early Head Start program on children's receptive vocabulary development is used as a motivating example. Regular Head Start program attendance is assessed as the focal mediator through real data analyses. Overall, parametric causal mediation analysis methods provide researchers with intuitive tools to explain the average effects of longitudinal interventions through multiple pathways, and how they vary across diverse groups in education research.

English

ISBN: 9798384012481Subjects--Topical Terms:

181151
Educational psychology.
Subjects--Index Terms:

Causal mediation

Addressing Heterogeneity in Longitudinal Intervention Effects Using a Causal Mediation Framework /
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520 $a An essential challenge in evaluating the effects of educational practices over time lies in examining the mechanisms through which an intervention operates. Traditional statistical methods, which primarily focus on analyzing average intervention effects, fail to provide adequate information on how these effects are transmitted through multiple pathways and the degree of heterogeneity across diverse groups within a target population. This dissertation explores the use of causal mediation analysis methods to evaluate how the effects of an intervention develop over time by influencing subsequent practices.Chapters 1 and 2 conceptualize the long-term effect of an earlier intervention and the mediating effect of a subsequent educational practice as natural direct and indirect effects, respectively, within the causal mediation framework. Chapter 3 introduces an extension to the causal mediation effect estimators, enabling the investigation of groupwise heterogeneity in both long-term and mediating effects. In Chapter 4, the parametric closed-form point estimators of natural direct and indirect effects are further extended by incorporating clustered data estimation techniques to account for cluster-level confounding.Throughout this dissertation, the effect of the early Head Start program on children's receptive vocabulary development is used as a motivating example. Regular Head Start program attendance is assessed as the focal mediator through real data analyses. Overall, parametric causal mediation analysis methods provide researchers with intuitive tools to explain the average effects of longitudinal interventions through multiple pathways, and how they vary across diverse groups in education research.
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