Submitted by zhenli on Wed, 12/09/2015 - 08:20
| Title | Stochastic Curtailment of Questionnaires for Three-Level Classification: Shortening the CES-D for Assessing Low, Moderate, and High Risk of Depression |
| Publication Type | Journal Article |
| Year of Publication | 2016 |
| Authors | Smits, N, Finkelman, MD, Kelderman, H |
| Journal | Applied Psychological Measurement |
| Volume | 40 |
| Number | 1 |
| Pagination | 22-36 |
| Abstract | In clinical assessment, efficient screeners are needed to ensure low respondent burden. In this article, Stochastic Curtailment (SC), a method for efficient computerized testing for classification into two classes for observable outcomes, was extended to three classes. In a post hoc simulation study using the item scores on the Center for Epidemiologic Studies–Depression Scale (CES-D) of a large sample, three versions of SC, SC via Empirical Proportions (SC-EP), SC via Simple Ordinal Regression (SC-SOR), and SC via Multiple Ordinal Regression (SC-MOR) were compared at both respondent burden and classification accuracy. All methods were applied under the regular item order of the CES-D and under an ordering that was optimal in terms of the predictive power of the items. Under the regular item ordering, the three methods were equally accurate, but SC-SOR and SC-MOR needed less items. Under the optimal ordering, additional gains in efficiency were found, but SC-MOR suffered from capitalization on chance substantially. It was concluded that SC-SOR is an efficient and accurate method for clinical screening. Strengths and weaknesses of the methods are discussed. |
| URL | http://apm.sagepub.com/content/40/1/22.abstract |
| DOI | 10.1177/0146621615592294 |