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Fellinghauer, Carolina; Debelak, Rudolf; Strobl, Carolin – Educational and Psychological Measurement, 2023
This simulation study investigated to what extent departures from construct similarity as well as differences in the difficulty and targeting of scales impact the score transformation when scales are equated by means of concurrent calibration using the partial credit model with a common person design. Practical implications of the simulation…
Descriptors: True Scores, Equated Scores, Test Items, Sample Size
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Brian C. Leventhal; Dena Pastor – Educational and Psychological Measurement, 2024
Low-stakes test performance commonly reflects examinee ability and effort. Examinees exhibiting low effort may be identified through rapid guessing behavior throughout an assessment. There has been a plethora of methods proposed to adjust scores once rapid guesses have been identified, but these have been plagued by strong assumptions or the…
Descriptors: College Students, Guessing (Tests), Multiple Choice Tests, Item Response Theory
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Kim, Stella Y.; Lee, Won-Chan; Kolen, Michael J. – Educational and Psychological Measurement, 2020
A theoretical and conceptual framework for true-score equating using a simple-structure multidimensional item response theory (SS-MIRT) model is developed. A true-score equating method, referred to as the SS-MIRT true-score equating (SMT) procedure, also is developed. SS-MIRT has several advantages over other complex multidimensional item response…
Descriptors: Item Response Theory, Equated Scores, True Scores, Accuracy
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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
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Dimitrov, Dimiter M. – Educational and Psychological Measurement, 2020
This study presents new models for item response functions (IRFs) in the framework of the D-scoring method (DSM) that is gaining attention in the field of educational and psychological measurement and largescale assessments. In a previous work on DSM, the IRFs of binary items were estimated using a logistic regression model (LRM). However, the LRM…
Descriptors: Item Response Theory, Scoring, True Scores, Scaling
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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
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Shih, Ching-Lin; Liu, Tien-Hsiang; Wang, Wen-Chung – Educational and Psychological Measurement, 2014
The simultaneous item bias test (SIBTEST) method regression procedure and the differential item functioning (DIF)-free-then-DIF strategy are applied to the logistic regression (LR) method simultaneously in this study. These procedures are used to adjust the effects of matching true score on observed score and to better control the Type I error…
Descriptors: Test Bias, Regression (Statistics), Test Items, True Scores
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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
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MacCann, Robert G. – Educational and Psychological Measurement, 2008
It is shown that the Angoff and bookmarking cut scores are examples of true score equating that in the real world must be applied to observed scores. In the context of defining minimal competency, the percentage "failed" by such methods is a function of the length of the measuring instrument. It is argued that this length is largely…
Descriptors: True Scores, Cutting Scores, Minimum Competencies, Scores
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Subkoviak, Michael J. – Educational and Psychological Measurement, 1974
Descriptors: Comparative Analysis, Sampling, True Scores
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Werts, Charles E.; And Others – Educational and Psychological Measurement, 1973
Purpose of this paper is to provide an alternative formulation which allows for the model parameters to be determined given the structural specification of zero mean error and independence among errors for different items and between errors and true scores. (Authors)
Descriptors: Mathematical Models, Measurement Techniques, Statistical Analysis, True Scores
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Lord, Frederic M. – Educational and Psychological Measurement, 1974
Descriptors: Correlation, Hypothesis Testing, Statistical Analysis, Statistical Significance
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Ramsay, J. O. – Educational and Psychological Measurement, 1971
The consequences of the assumption that the expected score is equal to the true score are shown and alternatives discussed. (MS)
Descriptors: Psychological Testing, Statistical Analysis, Test Reliability, Testing
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Bowers, John – Educational and Psychological Measurement, 1971
Descriptors: Error of Measurement, Mathematical Models, Test Reliability, True Scores
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Conger, Anthony J. – Educational and Psychological Measurement, 1980
Reliability maximizing weights are related to theoretically specified true score scaling weights to show a constant relationship that is invariant under separate linear tranformations on each variable in the system. Test theoretic relations should be derived for the most general model available and not for unnecessarily constrained models.…
Descriptors: Mathematical Formulas, Scaling, Test Reliability, Test Theory
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