Analyzing Job Analysis Data Using Mixture Rasch Models. Issue 1 (2nd January 2019)

• Record Type: Journal Article
• Authors: Wyse, Adam E.
• Is Part Of: International journal of testing. Volume 19:Issue 1(2019)
• Page Start: 52
• Page End: 73
• Publication Date: 2019-01-02
• Subjects: credentialing exams -- job analysis -- mixture models -- Rasch analysis -- rating scales; Psychological tests -- Periodicals; Educational tests and measurements -- Periodicals; 150.28705
• DOI: 10.1080/15305058.2018.1481853
• Languages: English
• ISSNs: 1530-5058

Abstract

Abstract : An important piece of validity evidence to support the use of credentialing exams comes from performing a job analysis of the profession. One common job analysis method is the task inventory method, where people working in the field are surveyed using rating scales about the tasks thought necessary to safely and competently perform the job. This article describes how mixture Rasch models can be used to analyze these data, and how results from these analyses can help to identify whether different groups of people may be responding to job tasks differently. Three examples from different credentialing programs illustrate scenarios that can be found when applying mixture Rasch models to job analysis data. Discussion of what these results may imply for the development of credentialing exams and other analyses of job analysis data is provided.