期刊
MULTIVARIATE BEHAVIORAL RESEARCH
卷 51, 期 5, 页码 606-626出版社
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/00273171.2016.1192983
关键词
Conditional independence; dynamic modeling; hidden Markov modeling; item response theory; latent class models; response time modeling
类别
资金
- Organization for Scientific Research (NWO) [VENI-451-15-008, VENI-451-14-017, VICI 453-10-002]
Current approaches to model responses and response times to psychometric tests solely focus on between-subject differences in speed and ability. Within subjects, speed and ability are assumed to be constants. Violations of this assumption are generally absorbed in the residual of the model. As a result, within-subject departures from the between-subject speed and ability level remain undetected. These departures may be of interest to the researcher as they reflect differences in the response processes adopted on the items of a test. In this article, we propose a dynamic approach for responses and response times based on hidden Markov modeling to account for within-subject differences in responses and response times. A simulation study is conducted to demonstrate acceptable parameter recovery and acceptable performance of various fit indices in distinguishing between different models. In addition, both a confirmatory and an exploratory application are presented to demonstrate the practical value of the modeling approach.
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