Date of Award:

5-2019

Document Type:

Thesis

Degree Name:

Master of Science (MS)

Department:

Psychology

Advisor/Chair:

Ginger Lockhart

Co-Advisor/Chair:

Sarfaraz Serang

Third Advisor:

Rick Cruz

Abstract

Often for prevention program designs, researchers are interested in understanding the processes through which a program impacts a targeted outcome. Mediation analysis assists in identifying not only how a program influences an outcome, but also which intermediate variables (i.e., mediators) cause the effects between a program and an outcome to occur. Mediation analysis explains why a program works, which is useful for program developers in creating effective prevention and intervention-based programs.

To make use of mediation analysis findings for preventive intervention programs, researchers need a comprehensive understanding of the mediators between various programs and outcomes. However, a comprehensive examination into which mediators are most effective has yet to take place. This is likely due to the lack of theoretical and quantitative guidance on conducting a comprehensive comparison study for mediated effects. As such, this work establishes a framework for measuring mediated effects in a comprehensive context. This thesis establishes a framework under which to evaluate mediated effects across multiple studies, demonstrates the application of this framework, and discusses the broader implications of this approach. Identifying the most effective mediators through the proposed approach lends a valuable understanding to practitioners and policymakers about critical actions for preventing a given outcome.

Checksum

f3c418a0405e12eddfe1b11b14c947b8

Included in

Psychology Commons

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