کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
357302 1435519 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A predictive psychometric model to identify personality and gender differences of college majors
ترجمه فارسی عنوان
مدل روانشناسی پیش بینی کننده برای شناسایی شخصیت و تفاوت جنسیتی رشته های دانشگاهی
کلمات کلیدی
تفاوت های شخصیتی؛ مدل های روان سنجی؛ تجزیه و تحلیل مشخص؛ اصل کالج
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری کسب و کار، مدیریت و حسابداری (عمومی)
چکیده انگلیسی


• Personality traits for each major reflect conventional stereotypes.
• Two personality factors and gender explain 47.9% of variance in choice of major.
• Universities may wish to tailor curricula based upon student personality types.
• Psychology majors share more traits with accounting majors than marketing majors.

This research applies Cattell’s 16 Personality Factor Questionnaire (16PF) (Cattell & Schuerger, 2003) to compare and contrast personality traits among undergraduate men and women enrolled in business and liberal arts colleges. Specific attention is given to what personality differences exist between accounting as the most popular business major, and that of psychology as the most popular liberal arts major. For added comparison, we further juxtaposed marketing, which contains a combination of consumer psychology and analytical business skills. Analysis of variance among the three majors found the differences in 10 personality factors to be significant and a multivariate analysis of variance determined gender a significant covariate. While this research provides a detailed personality profile unique for each major, stepwise discriminant analysis isolated one personality factor providing a predictive model of 42.8% while gender contributed 5.1% for a predictive psychometric model of 47.9%. This research is unique as it compares personality differences among business majors with a popular nonbusiness major, isolates the impact of gender, and provides a parsimonious predictive model that can be used to identify a compatible fit between personality and gender by college major.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The International Journal of Management Education - Volume 14, Issue 3, November 2016, Pages 240–247
نویسندگان
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