The process of moral development : a comparison of home economics, business, and liberal arts students Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/jm214r592

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  • The present study examined the influence of the demographic variables of age, gender, major in college, and level of education or class standing on individuals' stage of moral development. Trevino's interactionist model, combined with the basic principles of cognitive moral development, provided the theoretical basis for this study. One-hundred and forty-four university students, representing business, home economics, and liberal arts majors, participated in this qualitative study. The research instrument used was the Sociomoral Reflection Measure (SMR), designed to measure an individual's level of moral development. The SMR considered four stages of moral development: 1) unilateral and simplistic, 2) exchanging and instrumental, 3) mutual and prosocial, and 4) systemic and standard, in addition to three transitional stages: a) transition 1/2, b) transition 2/3, and c) transition 3/4. The stage achieved indicated an individual's level of moral maturity. One-way analysis of variance statistics were performed to test the research hypotheses. Frequencies and percentages were also calculated for both the demographic and sociomoral stage data with regard to the total sample. Analogous with previous research, findings indicated that age directly related to an individual's current stage of moral development. Concurrently, the class standing variable also was found to influence one's stage of moral development. Conversely, the remaining demographic variables tested differed from previous studies, failing to prove significant. A collegian's choice of major was not found to influence stage of moral development achieved. Furthermore, the impact of gender-based differences on stage of moral development did not appear to be of significance.
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  • File scanned at 300 ppi (Monochrome) using ScandAll PRO 1.8.1 on a Fi-6670 in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
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