دانلود رایگان مقاله مدل روان سنجی پیش بینی کننده شناسایی شخصیت و تفاوت جنسیتی

عنوان فارسی
یک مدل روان سنجی پیش بینی کننده برای شناسایی شخصیت و تفاوت جنسیتی در رشته های کالج
عنوان انگلیسی
A predictive psychometric model to identify personality and gender differences of college majors
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
8
سال انتشار
2016
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E4517
رشته های مرتبط با این مقاله
مدیریت و حسابداری
گرایش های مرتبط با این مقاله
مدیریت کسب و کار MBA
مجله
مجله بین المللی آموزش مدیریت - The International Journal of Management Education
دانشگاه
دانشگاه فلوریدا جنوبی، ساراسوتا، ایالات متحده
کلمات کلیدی
تفاوتهای شخصیتی، مدل روان سنجی، تجزیه و تحلیل دائمی، بزرگی کالج
چکیده

abstract


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.

نتیجه گیری

6. Conclusion and discussion


This research is unique as it compares the personality differences of several popular college majors. It isolates the impact of gender differences in personality, and uses multivariate stepwise discriminant analysis to provide a parsimonious predictive model of dominant personality characteristics from a set of significant multiple traits. This model can be easily applied to identify key personality traits that significantly differentiate students of one major from other majors. It provides faculty and administration with a model to better market and position college majors to help students differentiate between programs of study based on their own personal characteristics. Highlighting unique personality traits provides direction to recruit, select and develop focused business and nonbusiness programs.


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