Abstract
The purpose of this study was to determine the extent of relationships existing between characteristics of alcoholism in selected college-age women. The relationships between these characteristics and selected demographic attributes were also investigated. College-age men were used for comparison purposes.
This research was a descriptive correlational study. A three part questionnaire packet was developed to collect data and was reviewed by a panel of experts to determine content validity. A pilot study was conducted to minimize the chance of measurement error. Concurrent and construct validity were established for the Gender Alcoholism Screening Instrument during the study.
Sigma Membership
Theta Theta
Lead Author Affiliation
Capital University, Bexley, Ohio, USA
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Descriptive/Correlational
Research Approach
Quantitative Research
Keywords:
Female College Students, Alcoholism, Alcohol Prevention Education
Advisor
Corey Bates
Second Advisor
Mary K. Beyrer
Degree
PhD
Degree Grantor
The Ohio State University
Degree Year
1995
Recommended Citation
Fernandez, Katheryn R., "Predicting alcoholism in selected college-age women" (2023). Dissertations. 247.
https://www.sigmarepository.org/dissertations/247
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2023-01-24
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 9544562; ProQuest document ID: 304204059. The author still retains copyright.