Anchor-Based Methods for Judgmentally Estimating Item Difficulty Parameters. LSAC Research Report Series.
暂无分享,去创建一个
[1] Robert J. Mislevy,et al. A TREE‐BASED ANALYSIS OF ITEMS FROM AN ASSESSMENT OF BASIC MATHEMATICS SKILLS , 1994 .
[2] Roy Freedle,et al. THE PREDICTION OF TOEFL READING COMPREHENSION ITEM DIFFICULTY FOR EXPOSITORY PROSE PASSAGES FOR THREE ITEM TYPES: MAIN IDEA, INFERENCE, AND SUPPORTING IDEA ITEMS , 1993 .
[3] R. Mislevy. Exploiting Auxiliary Information About Items in the Estimation of Rasch Item Difficulty Parameters , 1987 .
[4] Donald E. Powers,et al. The Relationship of Content Characteristics of GRE Analytical Reasoning Items to Their Difficulties and Discriminations , 1989 .
[5] R. Hambleton,et al. Item Response Theory: Principles and Applications , 1984 .
[6] Robert J. Mislevy,et al. Integrating Cognitive and Psychometric Models to Measure Document Literacy. , 1990 .
[7] Robert J. Mislevy. Bayes modal estimation in item response models , 1986 .
[8] H. Swaminathan,et al. Bayesian Estimation in the Rasch Model , 1982 .
[9] Kathleen M. Sheehan,et al. Using Bayesian Decision Theory to Design a Computerized Mastery Test , 1990 .
[10] Isaac I. Bejar,et al. Subject Matter Experts' Assessment of Item Statistics , 1981 .
[11] G. Brown. On Small-Sample Estimation , 1947 .
[12] Janice A. Gifford,et al. Bayesian estimation in the three-parameter logistic model , 1986 .
[13] H. Swaminathan,et al. Bayesian estimation in the two-parameter logistic model , 1985 .
[14] Robert J. Mislevy,et al. HOW TO EQUATE TESTS WITH LITTLE OR NO DATA , 1992 .