A Monte Carlo Study of the Optimal Rank Order Relationships with Criterion Scores (ORORCS)

Authors

Hongyan Cui, Western Michigan UniversityFollow
Brooks Applegate, Western Michigan UniversityFollow
Warren Lacefield, Western Michigan UniversityFollow
David Hartmann, Western Michigan UniversityFollow

Faculty Advisor

Dr. Brooks Applegate

Department

Educational Leadership, Research and Technology

Presentation Date

4-11-2014

Document Type

Poster

Abstract

This dissertation study contributes to the field of measurement. It introduces a method to determine keys for a kind of test items that

1. Depict a specific situational context and provide a set of multidimensional alternative reactions to that situation for the subjects to rank according to their best judgment (SRT).
2. An examinee’s response to an item is a multidimensional ranking of the alternative options.
3. One administration of the SRT yields measures of multiple traits, so that there is no need to administer multiple criterion instruments.

WMU ScholarWorks Citation

Cui, Hongyan; Applegate, Brooks; Lacefield, Warren; and Hartmann, David, "A Monte Carlo Study of the Optimal Rank Order Relationships with Criterion Scores (ORORCS)" (2014). Research and Creative Activities Poster Day. 91.
https://scholarworks.wmich.edu/grad_research_posters/91