University of Illinois Urbana-Champaign

An application of diagnostic modeling to a situational judgment test assessing emotional intelligence

Cho, Seong Hee

Content Files
CHO-DISSERTATION-2016.pdf

Permalink

https://hdl.handle.net/2142/95547

Description

Title
An application of diagnostic modeling to a situational judgment test assessing emotional intelligence
Author(s)
Cho, Seong Hee
Issue Date
2016-09-13
Director of Research (if dissertation) or Advisor (if thesis)
Drasgow, Fritz
Doctoral Committee Chair(s)
Drasgow, Fritz
Committee Member(s)
  • Chang, Hua-Hua
  • Kramer, Amit
  • Newman, Daniel A.
  • Round, James
Department of Study
Psychology
Discipline
Psychology
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Date of Ingest
2017-03-01T17:00:53Z
Keyword(s)
  • Emotional intelligence
  • Cognitive diagnostic modeling
  • Measurement
Abstract
This study directly addresses important psychometric issues concerning emotional intelligence situational judgment tests (EI SJTs), including nonsensical dimensionality results, ambiguous facet constructs, and low Cronbach’s alpha, and then introduces an alternative methodology, cognitive diagnostic modeling (CDM), which seems to provide a better framework for the item level multidimensionality of these measures. This dissertation is the first study investigating the multidimensional nature of SJTs assessing EI using the CDM approach. Two ultimate purposes of this study include better understanding of the EI construct and advancing the psychometric analysis of EI measures assessed with the SJT format. The results of this study found that there are five dimensions underlying an SJT measuring emotion understanding (STEU) and they tend to have noncompensatory relationships. An SJTs measuring emotion management (STEM) showed four strategies required to perform well on the test, which interact in a compensatory manner. As hypothesized, the G-DINA (generalized deterministic inputs, noisy “and” gate) model best reproduced the SJT data among the other reduced models due to its statistical generality. However, a higher order structure of EI was not found in the CDM analysis. Among other commonly used methodologies, the CDM approach fully reflected the theoretical framework of EI and provided finer-grained information on the test and examines, which can be reflected in better feedback to assessees.
Graduation Semester
2016-12
Type of Resource
text
Permalink
http://hdl.handle.net/2142/95547
Copyright and License Information
Copyright 2016 Seong Hee Cho

Owning Collections

Dissertations and Theses - Psychology
Dissertations and Theses from the Dept. of Psychology
Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at Illinois