Date of Award
1-1-2016
Document Type
Masters Thesis
Degree Name
M.A.
Organizational Unit
Morgridge College of Education, Research Methods and Information Science, Research Methods and Statistics
First Advisor
Antonio Olmos, Ph.D.
Second Advisor
Kathy Green
Third Advisor
Jennifer Cornish
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.
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Dareen Taha Alzahrani
Provenance
Received from ProQuest
File Format
application/pdf
Language
en
File Size
57 p.
Recommended Citation
Alzahrani, Dareen Taha, "A Reliability Generalization Study of the Brief Symptom Inventory-18" (2016). Electronic Theses and Dissertations. 1175.
https://digitalcommons.du.edu/etd/1175
Copyright date
2016
Discipline
Statistics