Date of Award

1-1-2016

Document Type

Thesis

Degree Name

M.A.

Department

Quantitative Research Methods

First Advisor

Antonio Olmos, Ph.D.

Keywords

Reliability Generalization, Brief Symptom Inventory

Abstract

Reliability generalization (RG) is a meta-analytic method that aims to assess the variability of test score reliability across studies and identify the sources of this variability. In this study, a reliability generalization analysis was performed on studies of the Brief Symptom Inventory-18 (BSI-18) to examine the variability in Cronbach's alpha reliability estimates reported in the literature. This inventory was chosen because of its extensive use in counseling and medical settings and documented reliability and validity. The database that was consulted to collect articles was PsycInfo. The reported Cronbach's alphas were obtained to assess whether defined moderator variables affected reliability estimates. Out of the 161 references located, 48 studies met the selection criteria. For the Global Severity Index (GSI), the mean reliability was 0.91, 0.77 for the Somatic subscale, 0.85 for the Depression subscale, and 0.83 for the Anxiety subscale. The moderator analyses led to a predictive model where the type of population (clinical vs. nonclinical) for the GSI, and gender for the Somatic subscale were significant. Finally, clinical implications of the results are discussed.

Copyright Statement / License for Reuse

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Provenance

Received from ProQuest

Rights holder

Dareen Taha Alzahrani

File size

57 p.

File format

application/pdf

Language

en

Discipline

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