Item Response Theory and Clinical Measurement

被引:478
|
作者
Reise, Steven P. [1 ]
Waller, Niels G. [2 ]
机构
[1] Univ Calif Los Angeles, Dept Psychol, Los Angeles, CA 90095 USA
[2] Univ Minnesota, Dept Psychol, Minneapolis, MN 55455 USA
关键词
computerized adaptive testing; differential item functioning; linking scales; scale information curve; latent trait metric; quasi-trait; PERSONALITY-ASSESSMENT; RASCH MODEL; SELF-REPORT; PARAMETRIC STATISTICS; PATHOLOGICAL SCIENCE; CONJOINT-MEASUREMENT; HEALTH OUTCOMES; SUBSTANCE USE; DEPRESSION; SCALES;
D O I
10.1146/annurev.clinpsy.032408.153553
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
In this review, we examine studies that use item response theory (IRT) to explore the psychometric properties of clinical measures. Next, we consider how IRT has been used in clinical research for: scale linking, computerized adaptive testing, and differential item functioning analysis. Finally, we consider the scale properties of IRT trait scores. We conclude that there are notable differences between cognitive and clinical measures that have relevance for IRT modeling. Future research should be directed toward a better understanding of the metric of the latent trait and the psychological processes that lead to individual differences in item response behaviors.
引用
收藏
页码:27 / 48
页数:22
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