Electronic Theses and Dissertations
Identifier
6115
Date
2018
Document Type
Thesis
Degree Name
Master of Science
Major
Psychology
Concentration
Clinical Psychology
Committee Chair
James P Whelan
Committee Member
Arthur C Graesser
Committee Member
Andrew W Meyers
Abstract
The purpose of this study was to use advanced text-comprehension tools to develop a questionnaire of gambling disorder symptoms, the Memphis Gambling Measure (MGM), then experimentally compare rates of accurate comprehension and symptom identification as compared to the NODS, an often used and theoretically less readable questionnaire of the same symptoms. Eighty-five volunteers identified symptoms in a clinical vignette by completing either the MGM or NODS in a between-subjects experimental design. Participants who completed the MGM correctly identified more symptoms of gambling disorder than participants who completed the NODS. Participants with more education more accurately reponded to the questionnaire items, but this did not moderate the effect of questionnaire assignment on item comprehension. We concluded that item comprehension can be accurately predicted using the present text-analysis assessment methods, and that rates at which individuals accurately report on symptoms of psychopathology is related to the readability of the questionnaire items themselves.
Library Comment
Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Recommended Citation
Peter, Samuel Cody, "Using Text Comprehension Analyses to Enhance the Readability of Self-Report Questionnaires of Gambling Disorder" (2018). Electronic Theses and Dissertations. 1787.
https://digitalcommons.memphis.edu/etd/1787
Comments
Data is provided by the student.