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Chun Wang; Ping Chen; Shengyu Jiang – Journal of Educational Measurement, 2020
Many large-scale educational surveys have moved from linear form design to multistage testing (MST) design. One advantage of MST is that it can provide more accurate latent trait [theta] estimates using fewer items than required by linear tests. However, MST generates incomplete response data by design; hence, questions remain as to how to…
Descriptors: Test Construction, Test Items, Adaptive Testing, Maximum Likelihood Statistics
Haberman, Shelby J.; Lee, Yi-Hsuan – ETS Research Report Series, 2017
In investigations of unusual testing behavior, a common question is whether a specific pattern of responses occurs unusually often within a group of examinees. In many current tests, modern communication techniques can permit quite large numbers of examinees to share keys, or common response patterns, to the entire test. To address this issue,…
Descriptors: Student Evaluation, Testing, Item Response Theory, Maximum Likelihood Statistics
Peer reviewedWeiss, David J., Ed. – Applied Psychological Measurement, 1987
Issues concerning equating test scores are discussed in an introduction, four papers, and two commentaries. Equating methods research, sampling errors, linear equating, population differences, sources of equating errors, and a circular equating paradigm are considered. (SLD)
Descriptors: Equated Scores, Latent Trait Theory, Maximum Likelihood Statistics, Statistical Analysis
Peer reviewedThayer, Dorothy T. – Psychometrika, 1983
Estimation techniques for generating the covariance matrix for two new tests and an existing test without the necessity of any examinee having to take two complete tests is presented. An application of these techniques to linear, observed-score, test equating is presented. (Author/JKS)
Descriptors: Correlation, Equated Scores, Estimation (Mathematics), Matrices
Peer reviewedGross, Alan L. – Psychometrika, 1990
A model is proposed for investigating test validity as a predictor of a criterion variable when there are both missing and censored scores in the data set. Implications for maximum likelihood estimation are discussed, and the method is illustrated with hypothetical data sets. (SLD)
Descriptors: Equations (Mathematics), Mathematical Models, Maximum Likelihood Statistics, Predictive Measurement
Peer reviewedLevine, Michael V.; Drasgow, Fritz – Psychometrika, 1988
Some examinees' test-taking behavior may be so idiosyncratic that their test scores are not comparable to those of more typical examinees. A new theoretical approach to appropriateness measurement is proposed that specifies a likelihood ratio test and an efficient computer algorithm for computing the test statistic. (TJH)
Descriptors: Algorithms, Computer Simulation, Latent Trait Theory, Maximum Likelihood Statistics
Peer reviewedWilson, Mark; Masters, Geoffery N. – Psychometrika, 1993
A strategy is described for dealing with measurement situations in which certain categories of responses are null, that is, persons do not respond in certain categories to certain items. The method is described for the partial credit model while maintaining the integrity of the original response framework. (SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Item Response Theory, Mathematical Models
Peer reviewedLevine, Michael V.; Rubin, Donald B. – Journal of Educational Statistics, 1979
A student may be so unlike other students that his/her aptitude test score fails to be a completely appropriate measure. We consider the problem of using the student's pattern of multiple-choice aptitude test answers to decide whether his/her score is an appropriate ability measure. (Author/CTM)
Descriptors: Answer Sheets, College Entrance Examinations, Guessing (Tests), Latent Trait Theory

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