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Improving Measurement Precision in Experimental Psychopathology Using Item Response Theory
Leah M Feuerstahler1, Niels Waller2, Angus MacDonald2
1Fordham University, Bronx, NY, USA.
Item response models enhance cognitive assessments for psychosis, improving visual working memory evaluation. Computerized adaptive testing offers efficient administration for diverse populations.
Area of Science:
- Psychology
- Psychopathology
- Educational Measurement
Background:
- Item response models are increasingly used in educational and psychological assessments.
- Applications in experimental psychopathology remain limited.
- Cognitive tasks are crucial for understanding mental health conditions.
Purpose of the Study:
- To explore the application of item response models in assessing visual working memory capacity.
- To evaluate and improve unidimensional cognitive assessment tasks.
- To suggest the use of computerized adaptive testing for efficiency.
Main Methods:
- Utilizing item response theory (IRT) for cognitive task evaluation.
- Applying IRT to a computerized cognitive task assessing visual working memory.
- Exploring extensions to multidimensional IRT.
Main Results:
- Item response models can refine unidimensional cognitive tasks for various populations.
- Computerized adaptive testing can enhance assessment efficiency.
- Multidimensional IRT models may better capture complex psychopathological response processes.
Conclusions:
- Item response models offer a valuable framework for cognitive assessment in psychopathology.
- Computerized adaptive testing presents an efficient method for cognitive task administration.
- Further development of multidimensional IRT is recommended for complex populations.
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