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The Predictive Validity of Person Matching Methods in Interest Measurement

Burns, Stephanie Tursic
http://rave.ohiolink.edu/etdc/view?acc_num=kent1327781557

Abstract Details

2012, PHD, Kent State University, College of Education, Health, and Human Services / School of Lifespan Development and Educational Sciences.
This study determined and recommended empirically-based criteria for performing person matching as a psychometric scoring methodology to predict specialty selection for a profession. This study compared the predictive hit rates of standard scoring and three calculations of person matching based upon ex post facto data collected on 5,143 medical students who had taken an interest inventory and had entered their medical residency. The results suggested the following conclusions to the five hypotheses. First, the inclusion of all 150 raw item scores when person matching produced more accurate hit rates than when using the 18 scale scores. Person matching on the item level appears to be more accurate than person matching on the factor or scale level. Second, using the top 20 person matches produced the highest hit rates as compared to the top match and top 5 and 10 singular matches. Third, standard scoring outperformed person matching for the top match. However, the 150 items and the 30 items were able to outperform standard scoring when looking beyond the top match to offer medical students several medical specialties to research for further consideration. Fourth, gender differences were less pronounced for person matching than standard scoring. Fifth, the predictive hit rates were slightly higher when combining standard scoring and person matching psychometric scoring methodologies to person match based upon only 30 items on the inventory. In conclusion, person matching is worthy of considerable research attention in interest inventories as the benefits to women and a quickly-changing, global workforce could be immense.
Mark Savickas, Ph.D (Committee Chair)
Jason McGlothlin, Ph.D. (Committee Member)
Cynthia Symons, D.Ed. (Committee Member)
300 p.
Academic Guidance Counseling; Educational Tests and Measurements; Psychological Tests
person matching; psychometric scoring; predictive hit rate; career interest; career development; postmodernism; career inventory; career counseling; predictive

Recommended Citations

Citations

  • Burns, S. T. (2012). The Predictive Validity of Person Matching Methods in Interest Measurement [Doctoral dissertation, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1327781557

    APA Style (7th edition)

  • Burns, Stephanie. The Predictive Validity of Person Matching Methods in Interest Measurement. 2012. Kent State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1327781557.

    MLA Style (8th edition)

  • Burns, Stephanie. "The Predictive Validity of Person Matching Methods in Interest Measurement." Doctoral dissertation, Kent State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1327781557

    Chicago Manual of Style (17th edition)

kent1327781557
1,393
© 2012, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.
Release 3.2.13