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A Mixture IRTree Model for Extreme Response Style: Accounting for Response Process Uncertainty
1University of Wisconsin-Madison, Madison, WI, USA.
Educational and Psychological Measurement
|January 18, 2021
Summary
This study introduces a new mixture item response tree (IRTree) model to better understand extreme response style. This advanced model identifies distinct respondent groups and their unique response processes, improving accuracy in educational assessments.
Area of Science:
- Psychometrics
- Educational Measurement
- Statistical Modeling
Background:
- Extreme response style (ERS) is a significant challenge in surveys and assessments.
- Traditional item response theory (IRT) models often fail to capture the heterogeneity of response processes.
- Understanding individual differences in response styles is crucial for accurate trait estimation.
Purpose of the Study:
- To introduce and evaluate a novel mixture item response tree (IRTree) model for modeling extreme response style.
- To differentiate between respondents exhibiting distinct underlying response processes.
- To account for individual-level uncertainty in response style modeling.
Main Methods:
- Development of a mixture item response tree (IRTree) model.
- Simulation studies to assess the model's ability to identify respondent subgroups.
- Application to real-world data from the Students Like Learning Mathematics (SLM) scale (TIMSS 2015).
Main Results:
- The mixture IRTree model effectively identifies subgroups with different response processes.
- The mixture approach demonstrates superior fit compared to traditional single IRTree models.
- Application reveals significant impact on the estimation of content and response style traits.
Conclusions:
- Mixture IRTree models offer a more nuanced approach to understanding extreme response style.
- Methodologies for response style analysis must acknowledge the interplay between content and style.
- Accurate trait estimation requires accounting for both individual response processes and inherent response style uncertainty.
Keywords:
extreme response styleitem response theorymixture IRTree modelmixture modelingself-report rating scaleMore Related Videos
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