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Evaluating Person Fit for Cognitive Diagnostic Assessment
1University of Alberta, Edmonton, Canada.
Applied Psychological Measurement
|June 9, 2018
Summary
Detecting person misfit in cognitive diagnostic assessments is crucial for accurate student profiling. This study introduces a new statistic, the response conformity index (RCI), and compares its effectiveness against the existing l-statistic.
Area of Science:
- Educational measurement
- Psychometrics
- Cognitive diagnostic models
Background:
- Accurate person fit evaluation is essential in cognitive diagnostic assessments (CDAs) to prevent misinterpretation of student attribute profiles.
- Misfitting responses can lead to incorrect remediation decisions, highlighting the need for robust person fit detection methods.
Purpose of the Study:
- To investigate the applicability of the established l-statistic within cognitive diagnostic models.
- To introduce and evaluate a novel person fit statistic, the response conformity index (RCI), specifically designed for CDAs.
Main Methods:
- The study extends the item response theory-based l-statistic for use in cognitive diagnostic models.
- A new statistic, the response conformity index (RCI), is developed for identifying misfitting response patterns in CDAs.
- Simulation and real data studies are conducted to compare the detection rates of the l-statistic and the RCI.
Main Results:
- The study compares the performance of the extended l-statistic and the newly developed RCI in detecting person misfit.
- Both simulation and real-world data analyses are utilized to assess the efficacy of these person fit statistics.
Conclusions:
- The research provides insights into methods for detecting person misfit in cognitive diagnostic assessments.
- The introduction of the RCI offers a new tool for improving the accuracy of student attribute profiling and remediation decisions.
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