Journalartikel

Improving Item Response Theory Model Calibration by Considering Response Times in Psychological Tests


AutorenlisteRanger, Jochen; Kuhn, Joerg-Tobias

Jahr der Veröffentlichung2012

Seiten214-231

ZeitschriftApplied Psychological Measurement

Bandnummer36

Heftnummer3

ISSN0146-6216

eISSN1552-3497

DOI Linkhttps://doi.org/10.1177/0146621612439796

VerlagSAGE Publications


Abstract
Research findings indicate that response times in personality scales are related to the trait level according to the so-called speed-distance hypothesis. Against this background, Ferrando and Lorenzo-Seva proposed a latent trait model for the responses and response times in a test. The model consists of two components, a standard item response model and a supplemental response time model. The authors could demonstrate that the consideration of response time increases the precision of trait estimation. However, the use of the model is not limited to trait estimation. The consideration of response time additionally enhances the calibration of the item response model. Due to limitations of the suggested estimation method for model calibration, Ferrando and Lorenzo-Seva were not able to exploit this additional benefit of response time modeling. In the article, an improved estimation method is proposed that is faster and more efficient than the original approach. It can be shown that the standard deviation of the parameter estimates of the item response model can be reduced up to 25% when applying the new method.



Zitierstile

Harvard-ZitierstilRanger, J. and Kuhn, J. (2012) Improving Item Response Theory Model Calibration by Considering Response Times in Psychological Tests, Applied Psychological Measurement, 36(3), pp. 214-231. https://doi.org/10.1177/0146621612439796

APA-ZitierstilRanger, J., & Kuhn, J. (2012). Improving Item Response Theory Model Calibration by Considering Response Times in Psychological Tests. Applied Psychological Measurement. 36(3), 214-231. https://doi.org/10.1177/0146621612439796



Schlagwörter


affective measurementDIFFICULTYinverted-U-shaped relationshipLATENCIESLOG-NORMAL DISTRIBUTIONMAXIMUM-LIKELIHOOD-ESTIMATIONpersonality


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