Committee Chair

Biderman, Michael D.

Committee Member

O'Leary, Brian J.; Weathington, Bart L.

Department

Dept. of Psychology

College

College of Arts and Sciences

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

Previous research has provided evidence for the notion that there are varying levels of inconsistency between individuals when responding to questionnaires with multiple response items. Specifically, there are individual differences in how consistently persons respond to items from the same dimension in a questionnaire (Reddock, Biderman & Nguyen, 2011). Currently, there is not a consensus on how inconsistency should be measured. In the present study inconsistency of responses to the IPIP Big Five questionnaire was measured. Two response formats permitting measurement of inconsistency were compared - a frequency-based format (FB) vs. a traditional Likert scale format. Furthermore, in an effort to study inconsistency in a broader context, the relationships of social desirability and ADHD to inconsistency were examined. The results provided no evidence for convergent validity between the two measures, discriminant validity for each measure, no evidence of a relationship between BIDR and inconsistency, but a positive relationship between FB based inconsistency and scores on the ADHD measure. Implications and limitations of the study are discussed.

Degree

M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.

Date

5-2012

Subject

Psychometrics; Variability (Psychometrics)

Keyword

Questionnaire response consistency

Discipline

Psychology | Social and Behavioral Sciences

Document Type

Masters theses

DCMI Type

Text

Extent

ix, 38 leaves

Language

English

Rights

https://rightsstatements.org/page/InC/1.0/?language=en

License

http://creativecommons.org/licenses/by-nc-nd/3.0/

Download

Included in

Psychology Commons

Share

COinS