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Kylie Gorney; Sandip Sinharay – Educational and Psychological Measurement, 2025
Test-takers, policymakers, teachers, and institutions are increasingly demanding that testing programs provide more detailed feedback regarding test performance. As a result, there has been a growing interest in the reporting of subscores that potentially provide such detailed feedback. Haberman developed a method based on classical test theory…
Descriptors: Scores, Test Theory, Test Items, Testing
Using Differential Item Functioning to Test for Interrater Reliability in Constructed Response Items
Walker, Cindy M.; Göçer Sahin, Sakine – Educational and Psychological Measurement, 2020
The purpose of this study was to investigate a new way of evaluating interrater reliability that can allow one to determine if two raters differ with respect to their rating on a polytomous rating scale or constructed response item. Specifically, differential item functioning (DIF) analyses were used to assess interrater reliability and compared…
Descriptors: Test Bias, Interrater Reliability, Responses, Correlation
Chalmers, R. Philip – Educational and Psychological Measurement, 2018
This article discusses the theoretical and practical contributions of Zumbo, Gadermann, and Zeisser's family of ordinal reliability statistics. Implications, interpretation, recommendations, and practical applications regarding their ordinal measures, particularly ordinal alpha, are discussed. General misconceptions relating to this family of…
Descriptors: Misconceptions, Test Theory, Test Reliability, Statistics
Ellis, Jules L. – Educational and Psychological Measurement, 2021
This study develops a theoretical model for the costs of an exam as a function of its duration. Two kind of costs are distinguished: (1) the costs of measurement errors and (2) the costs of the measurement. Both costs are expressed in time of the student. Based on a classical test theory model, enriched with assumptions on the context, the costs…
Descriptors: Test Length, Models, Error of Measurement, Measurement
Zumbo, Bruno D.; Kroc, Edward – Educational and Psychological Measurement, 2019
Chalmers recently published a critique of the use of ordinal a[alpha] proposed in Zumbo et al. as a measure of test reliability in certain research settings. In this response, we take up the task of refuting Chalmers' critique. We identify three broad misconceptions that characterize Chalmers' criticisms: (1) confusing assumptions with…
Descriptors: Test Reliability, Statistical Analysis, Misconceptions, Mathematical Models
Raykov, Tenko; Dimitrov, Dimiter M.; Marcoulides, George A.; Harrison, Michael – Educational and Psychological Measurement, 2019
Building on prior research on the relationships between key concepts in item response theory and classical test theory, this note contributes to highlighting their important and useful links. A readily and widely applicable latent variable modeling procedure is discussed that can be used for point and interval estimation of the individual person…
Descriptors: True Scores, Item Response Theory, Test Items, Test Theory
Nicewander, W. Alan – Educational and Psychological Measurement, 2018
Spearman's correction for attenuation (measurement error) corrects a correlation coefficient for measurement errors in either-or-both of two variables, and follows from the assumptions of classical test theory. Spearman's equation removes all measurement error from a correlation coefficient which translates into "increasing the reliability of…
Descriptors: Error of Measurement, Correlation, Sample Size, Computation
Raykov, Tenko; Marcoulides, George A.; Patelis, Thanos – Educational and Psychological Measurement, 2015
A critical discussion of the assumption of uncorrelated errors in classical psychometric theory and its applications is provided. It is pointed out that this assumption is essential for a number of fundamental results and underlies the concept of parallel tests, the Spearman-Brown's prophecy and the correction for attenuation formulas as well as…
Descriptors: Psychometrics, Correlation, Validity, Reliability
Kohli, Nidhi; Koran, Jennifer; Henn, Lisa – Educational and Psychological Measurement, 2015
There are well-defined theoretical differences between the classical test theory (CTT) and item response theory (IRT) frameworks. It is understood that in the CTT framework, person and item statistics are test- and sample-dependent. This is not the perception with IRT. For this reason, the IRT framework is considered to be theoretically superior…
Descriptors: Test Theory, Item Response Theory, Factor Analysis, Models
Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2016
The frequently neglected and often misunderstood relationship between classical test theory and item response theory is discussed for the unidimensional case with binary measures and no guessing. It is pointed out that popular item response models can be directly obtained from classical test theory-based models by accounting for the discrete…
Descriptors: Test Theory, Item Response Theory, Models, Correlation
France, Stephen L.; Batchelder, William H. – Educational and Psychological Measurement, 2015
Cultural consensus theory (CCT) is a data aggregation technique with many applications in the social and behavioral sciences. We describe the intuition and theory behind a set of CCT models for continuous type data using maximum likelihood inference methodology. We describe how bias parameters can be incorporated into these models. We introduce…
Descriptors: Maximum Likelihood Statistics, Test Items, Difficulty Level, Test Theory
Cho, Sun-Joo; Preacher, Kristopher J. – Educational and Psychological Measurement, 2016
Multilevel modeling (MLM) is frequently used to detect cluster-level group differences in cluster randomized trial and observational studies. Group differences on the outcomes (posttest scores) are detected by controlling for the covariate (pretest scores) as a proxy variable for unobserved factors that predict future attributes. The pretest and…
Descriptors: Error of Measurement, Error Correction, Multivariate Analysis, Hierarchical Linear Modeling
Xu, Ting; Stone, Clement A. – Educational and Psychological Measurement, 2012
It has been argued that item response theory trait estimates should be used in analyses rather than number right (NR) or summated scale (SS) scores. Thissen and Orlando postulated that IRT scaling tends to produce trait estimates that are linearly related to the underlying trait being measured. Therefore, IRT trait estimates can be more useful…
Descriptors: Educational Research, Monte Carlo Methods, Measures (Individuals), Item Response Theory
Cizek, Gregory J.; Rosenberg, Sharyn L.; Koons, Heather H. – Educational and Psychological Measurement, 2008
This study investigates aspects of validity reflected in a large and diverse sample of published measures used in educational and psychological testing contexts. The current edition of "Mental Measurements Yearbook" served as the data source for this study. The validity aspects investigated included perspective on validity represented, number and…
Descriptors: Psychological Testing, Test Validity, Testing, Test Theory
DeMars, Christine E. – Educational and Psychological Measurement, 2008
The graded response (GR) and generalized partial credit (GPC) models do not imply that examinees ordered by raw observed score will necessarily be ordered on the expected value of the latent trait (OEL). Factors were manipulated to assess whether increased violations of OEL also produced increased Type I error rates in differential item…
Descriptors: Test Items, Raw Scores, Test Theory, Error of Measurement