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Liu, Yang; Maydeu-Olivares, Alberto – Educational and Psychological Measurement, 2013
Local dependence (LD) for binary IRT models can be diagnosed using Chen and Thissen's bivariate X[superscript 2] statistic and the score test statistics proposed by Glas and Suarez-Falcon, and Liu and Thissen. Alternatively, LD can be assessed using general purpose statistics such as bivariate residuals or Maydeu-Olivares and Joe's M[subscript r]…
Descriptors: Item Response Theory, Statistical Analysis, Models, Goodness of Fit
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Finch, W. Holmes – Applied Psychological Measurement, 2012
Increasingly, researchers interested in identifying potentially biased test items are encouraged to use a confirmatory, rather than exploratory, approach. One such method for confirmatory testing is rooted in differential bundle functioning (DBF), where hypotheses regarding potential differential item functioning (DIF) for sets of items (bundles)…
Descriptors: Test Bias, Test Items, Statistical Analysis, Models
van der Linden, Wim J. – 2002
Traditionally, error in equating observed scores on two versions of a test is defined as the difference between the transformations that equate the quantiles of their distributions in the sample and in the population of examinees. This definition underlies, for example, the well-known approximation to the standard error of equating by Lord (1982).…
Descriptors: College Entrance Examinations, Equated Scores, Error of Measurement, Estimation (Mathematics)
Nandakumar, Ratna – 1984
Heckman's correction for regression in selected samples for predictive validity studies was applied to a large data file on 7,984 law school applicants. Data included ethnic group, sex, socioeconomic status, undergraduate degree, school, scores on the Law School Admission Test (LSAT), writing ability, undergraduate grade point average, and age.…
Descriptors: Admission Criteria, College Entrance Examinations, Error of Measurement, Grade Prediction