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Culpepper, Steven Andrew – Applied Psychological Measurement, 2013
A classic topic in the fields of psychometrics and measurement has been the impact of the number of scale categories on test score reliability. This study builds on previous research by further articulating the relationship between item response theory (IRT) and classical test theory (CTT). Equations are presented for comparing the reliability and…
Descriptors: Item Response Theory, Reliability, Scores, Error of Measurement
Andrich, David; Humphry, Stephen M.; Marais, Ida – Applied Psychological Measurement, 2012
Models of modern test theory imply statistical independence among responses, generally referred to as "local independence." One violation of local independence occurs when the response to one item governs the response to a subsequent item. Expanding on a formulation of this kind of violation as a process in the dichotomous Rasch model,…
Descriptors: Test Theory, Models, Item Response Theory, Evidence
Beauducel, Andre – Applied Psychological Measurement, 2013
The problem of factor score indeterminacy implies that the factor and the error scores cannot be completely disentangled in the factor model. It is therefore proposed to compute Harman's factor score predictor that contains an additive combination of factor and error variance. This additive combination is discussed in the framework of classical…
Descriptors: Factor Analysis, Predictor Variables, Reliability, Error of Measurement
Penfield, Randall D. – Applied Psychological Measurement, 2010
Crossing, or intersecting, differential item functioning (DIF) is a form of nonuniform DIF that exists when the sign of the between-group difference in expected item performance changes across the latent trait continuum. The presence of crossing DIF presents a problem for many statistics developed for evaluating DIF because positive and negative…
Descriptors: Test Bias, Test Items, Statistics, Test Theory
Almehrizi, Rashid S. – Applied Psychological Measurement, 2013
The majority of large-scale assessments develop various score scales that are either linear or nonlinear transformations of raw scores for better interpretations and uses of assessment results. The current formula for coefficient alpha (a; the commonly used reliability coefficient) only provides internal consistency reliability estimates of raw…
Descriptors: Raw Scores, Scaling, Reliability, Computation
Andrich, David; Kreiner, Svend – Applied Psychological Measurement, 2010
Models of modern test theory imply statistical independence among responses, generally referred to as "local independence." One violation of local independence occurs when the response to one item governs the response to a subsequent item. Expanding on a formulation of this kind of violation as a process in the dichotomous Rasch model,…
Descriptors: Test Theory, Item Response Theory, Test Items, Correlation
van der Linden, Wim J. – Applied Psychological Measurement, 2009
An adaptive testing method is presented that controls the speededness of a test using predictions of the test takers' response times on the candidate items in the pool. Two different types of predictions are investigated: posterior predictions given the actual response times on the items already administered and posterior predictions that use the…
Descriptors: Simulation, Adaptive Testing, Vocational Aptitude, Bayesian Statistics
Raju, Nambury S.; Price, Larry R.; Oshima, T. C.; Nering, Michael L. – Applied Psychological Measurement, 2007
An examinee-level (or conditional) reliability is proposed for use in both classical test theory (CTT) and item response theory (IRT). The well-known group-level reliability is shown to be the average of conditional reliabilities of examinees in a group or a population. This relationship is similar to the known relationship between the square of…
Descriptors: Item Response Theory, Error of Measurement, Reliability, Test Theory
Borsboom, Denny; Mellenbergh, Gideon J.; Van Heerden, Jaap – Applied Psychological Measurement, 2002
In this article, a distinction is made between absolute and relative measurement. Absolute measurement refers to the measurement of traits on a group-invariant scale, and relative measurement refers to the within-group measurement of traits, where the scale of measurement is expressed in terms of the within-group position on a trait. Relative…
Descriptors: Test Items, Measures (Individuals), Test Theory

Komaroff, Eugene – Applied Psychological Measurement, 1997
Evaluated coefficient alpha under violations of two classical test theory assumptions: essential tau-equivalence and uncorrelated errors through simulation. Discusses the interactive effects of both violations with true and error scores. Provides empirical evidence of the derivation of M. Novick and C. Lewis (1993). (SLD)
Descriptors: Correlation, Reliability, Simulation, Test Theory
Biswas, Ajoy Kumar – Applied Psychological Measurement, 2006
This article studies the ordinal reliability of (total) test scores. This study is based on a classical-type linear model of observed score (X), true score (T), and random error (E). Based on the idea of Kendall's tau-a coefficient, a measure of ordinal reliability for small-examinee populations is developed. This measure is extended to large…
Descriptors: True Scores, Test Theory, Test Reliability, Scores

Divgi, D. R. – Applied Psychological Measurement, 1980
The dependence of reliability indices for mastery tests on mean and cutoff scores was examined in the case of three decision-theoretic indices. Dependence of kappa on mean and cutoff scores was opposite to that of the proportion of correct decisions, which was linearly related to average threshold loss. (Author/BW)
Descriptors: Classification, Cutting Scores, Mastery Tests, Test Reliability

Collins, Linda M. – Applied Psychological Measurement, 1996
The clarification provided by Williams and Zimmerman on the reliability of gain scores is translated into recognizable patterns of change that tend to produce reliable or unreliable gain scores. The relevance of the traditional idea of reliability to the measurement of change is also discussed. (SLD)
Descriptors: Achievement Gains, Change, Measurement Techniques, Reliability

Sanders, Piet F.; Verschoor, Alfred J. – Applied Psychological Measurement, 1998
Presents minimization and maximization models for parallel test construction under constraints. The minimization model constructs weakly and strongly parallel tests of minimum length, while the maximization model constructs weakly and strongly parallel tests with maximum test reliability. (Author/SLD)
Descriptors: Algorithms, Models, Reliability, Test Construction

Williams, Richard H.; Zimmerman, Donald W. – Applied Psychological Measurement, 1996
Modified equations for the validity and reliability of difference scores that describe applied testing situations are examined. This examination reveals that simple gain scores can be more useful in research than has commonly been believed. Simple gain scores are neither inherently unreliable nor lack predictive validity. (SLD)
Descriptors: Achievement Gains, Change, Equations (Mathematics), Prediction