Developing ideal intermediate items for the ideal point model

Cao, Mengyang

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https://hdl.handle.net/2142/44407 Copy

Description

Title

Developing ideal intermediate items for the ideal point model

Author(s)

Cao, Mengyang

Issue Date

2013-05-24T22:15:02Z

Director of Research (if dissertation) or Advisor (if thesis)

Drasgow, Fritz

Department of Study

Psychology

Discipline

Psychology

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.A.

Degree Level

Thesis

Keyword(s)

• ideal point model
• intermediate items
• item response theory
• personality measures
• vocational interest measures

Abstract

The importance of intermediate items has been overlooked for years ever since the prevalence of using dominance-based Likert scales in measuring personality and vocational interests. Rather, intermediate items were usually discarded in dominance scale constructions as they were believed to perform poorly in item discrimination (Chernyshenko, Stark, Drasgow, & Roberts, 2007). The current study aims to recognize the importance of intermediate items by showing that they can be perfectly calibrated by the ideal point model. 355 college students were selected to answer a series of personality and vocational interest measures including self-developed intermediate items. Results showed that personality and vocational interest scales demonstrated satisfactory model fits to the ideal point model, but not to the dominance model. Intermediate items also provided more information than extreme items did for respondents with extreme latent traits. Among the four domains (Frequency, Average, Condition, and Transition, “FACT”) of constructing intermediate items, the Average domain was found to exhibit best performance in showing unfolding curves. The possibility of utilizing the results of this study to develop a guideline of writing intermediate items, as well as to construct computerized adaptive tests based on the ideal point model, was also discussed in the paper.

Graduation Semester

2013-05

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http://hdl.handle.net/2142/44407

Copyright and License Information

Copyright 2013 Mengyang Cao

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