Moving Beyond Main Effects: A Data Analytic Strategy for Testing Complex Theories of Clinical Phenomena

Alissa Russell; Gerald J. Haeffel; Benjamin L. Hankin; Scott E. Maxwell; Robert A. Perera

doi:10.1111/cpsp.12083

Moving Beyond Main Effects: A Data Analytic Strategy for Testing Complex Theories of Clinical Phenomena

Alissa Russell, Gerald J. Haeffel, Benjamin L. Hankin, Scott E. Maxwell, Robert A. Perera

Research output: Contribution to journal › Article › peer-review

Abstract

The goal of this study was to advance a data analytic strategy for testing sophisticated models of clinical phenomena. We illustrate this method by testing a prominent and highly specific cognitive model of depression (Abramson et al., 1989). Specifically, we used multilevel modeling (MLM) to test the entire sequence featured in the hopelessness theory. The study used a daily diary design with a sample of undergraduates (n = 210). To our knowledge, this is the first study to use multilevel modeling with multiple waves of data to test a model with two mediators and a moderator. Results of analyses provided strong support for the MLM strategy and offer a concrete example for how to test complex theories of clinical phenomena.

Original language	English (US)
Pages (from-to)	385-397
Number of pages	13
Journal	Clinical Psychology: Science and Practice
Volume	21
Issue number	4
DOIs	https://doi.org/10.1111/cpsp.12083
State	Published - Dec 1 2014
Externally published	Yes

Keywords

Clinical phenomena
Cognitive vulnerability
Data analysis
Hopelessness theory
Multilevel modeling

ASJC Scopus subject areas

Clinical Psychology

Online availability

10.1111/cpsp.12083

Library availability

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abstract = "The goal of this study was to advance a data analytic strategy for testing sophisticated models of clinical phenomena. We illustrate this method by testing a prominent and highly specific cognitive model of depression (Abramson et al., 1989). Specifically, we used multilevel modeling (MLM) to test the entire sequence featured in the hopelessness theory. The study used a daily diary design with a sample of undergraduates (n = 210). To our knowledge, this is the first study to use multilevel modeling with multiple waves of data to test a model with two mediators and a moderator. Results of analyses provided strong support for the MLM strategy and offer a concrete example for how to test complex theories of clinical phenomena.",

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AU - Perera, Robert A.

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Moving Beyond Main Effects: A Data Analytic Strategy for Testing Complex Theories of Clinical Phenomena

Abstract

Keywords

ASJC Scopus subject areas

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