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Lathrop, Quinn N.; Cheng, Ying – Journal of Educational Measurement, 2014
When cut scores for classifications occur on the total score scale, popular methods for estimating classification accuracy (CA) and classification consistency (CC) require assumptions about a parametric form of the test scores or about a parametric response model, such as item response theory (IRT). This article develops an approach to estimate CA…
Descriptors: Cutting Scores, Classification, Computation, Nonparametric Statistics
Eggen, Theo J. H. M. – Educational Research and Evaluation, 2011
If classification in a limited number of categories is the purpose of testing, computerized adaptive tests (CATs) with algorithms based on sequential statistical testing perform better than estimation-based CATs (e.g., Eggen & Straetmans, 2000). In these computerized classification tests (CCTs), the Sequential Probability Ratio Test (SPRT) (Wald,…
Descriptors: Test Length, Adaptive Testing, Classification, Item Analysis
Wang, Wen-Chung; Liu, Chen-Wei – Educational and Psychological Measurement, 2011
The generalized graded unfolding model (GGUM) has been recently developed to describe item responses to Likert items (agree-disagree) in attitude measurement. In this study, the authors (a) developed two item selection methods in computerized classification testing under the GGUM, the current estimate/ability confidence interval method and the cut…
Descriptors: Computer Assisted Testing, Adaptive Testing, Classification, Item Response Theory
Finkelman, Matthew David – Applied Psychological Measurement, 2010
In sequential mastery testing (SMT), assessment via computer is used to classify examinees into one of two mutually exclusive categories. Unlike paper-and-pencil tests, SMT has the capability to use variable-length stopping rules. One approach to shortening variable-length tests is stochastic curtailment, which halts examination if the probability…
Descriptors: Mastery Tests, Computer Assisted Testing, Adaptive Testing, Test Length
Sijtsma, Klaas – International Journal of Testing, 2009
This article reviews three topics from test theory that continue to raise discussion and controversy and capture test theorists' and constructors' interest. The first topic concerns the discussion of the methodology of investigating and establishing construct validity; the second topic concerns reliability and its misuse, alternative definitions…
Descriptors: Construct Validity, Reliability, Classification, Test Theory
Emons, Wilco H. M.; Sijtsma, Klaas; Meijer, Rob R. – Psychological Methods, 2007
Short tests containing at most 15 items are used in clinical and health psychology, medicine, and psychiatry for making decisions about patients. Because short tests have large measurement error, the authors ask whether they are reliable enough for classifying patients into a treatment and a nontreatment group. For a given certainty level,…
Descriptors: Psychiatry, Patients, Error of Measurement, Test Length

Livingston, Samuel A.; Lewis, Charles – Journal of Educational Measurement, 1995
A method is presented for estimating the accuracy and consistency of classifications based on test scores. The reliability of the score is used to estimate effective test length in terms of discrete items. The true-score distribution is estimated by fitting a four-parameter beta model. (SLD)
Descriptors: Classification, Estimation (Mathematics), Scores, Statistical Distributions
Livingston, Samuel A.; Lewis, Charles – 1993
This paper presents a method for estimating the accuracy and consistency of classifications based on test scores. The scores can be produced by any scoring method, including the formation of a weighted composite. The estimates use data from a single form. The reliability of the score is used to estimate its effective test length in terms of…
Descriptors: Classification, Error of Measurement, Estimation (Mathematics), Reliability
Schulz, E. Matthew; Wang, Lin – 2001
In this study, items were drawn from a full-length test of 30 items in order to construct shorter tests for the purpose of making accurate pass/fail classifications with regard to a specific criterion point on the latent ability metric. A three-item parameter Item Response Theory (IRT) framework was used. The criterion point on the latent ability…
Descriptors: Ability, Classification, Item Response Theory, Pass Fail Grading
Hendrawan, Irene; Glas, Cees A. W.; Meijer, Rob R. – Applied Psychological Measurement, 2005
The effect of person misfit to an item response theory model on a mastery/nonmastery decision was investigated. Furthermore, it was investigated whether the classification precision can be improved by identifying misfitting respondents using person-fit statistics. A simulation study was conducted to investigate the probability of a correct…
Descriptors: Probability, Statistics, Test Length, Simulation
Clements, Andrea D.; Rothenberg, Lori – Research in the Schools, 1996
Undergraduate psychology examinations from 48 schools were analyzed to determine the proportion of items at each level of Bloom's Taxonomy, item format, and test length. Analyses indicated significant relationships between item complexity and test length even when taking format into account. Use of higher items may be related to shorter tests,…
Descriptors: Classification, Difficulty Level, Educational Objectives, Higher Education
van der Linden, Wim J. – 1980
A classical problem in mastery testing is the choice of passing score and test length so that the mastery decisions are optimal. This problem has been addressed several times from a variety of viewpoints. In this paper, the usual indifference zone approach is adopted, with a new criterion for optimizing the passing score. Specifically,…
Descriptors: Classification, Cutting Scores, Error Patterns, Guessing (Tests)
Vos, Hans J. – 1997
The purpose of this paper is to derive optimal rules for variable-length mastery tests in case three mastery classification decisions (nonmastery, partial mastery, and mastery) are distinguished. In a variable-length or adaptive mastery test, the decision is to classify a subject as a master, a partial master, a nonmaster, or continuing sampling…
Descriptors: Adaptive Testing, Classification, Computer Assisted Testing, Concept Formation