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Showing 166 to 180 of 3,659 results Save | Export
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Weiss, Brandi A.; Dardick, William – Educational and Psychological Measurement, 2016
This article introduces an entropy-based measure of data-model fit that can be used to assess the quality of logistic regression models. Entropy has previously been used in mixture-modeling to quantify how well individuals are classified into latent classes. The current study proposes the use of entropy for logistic regression models to quantify…
Descriptors: Regression (Statistics), Goodness of Fit, Models, Classification
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Stanley, Leanne M.; Edwards, Michael C. – Educational and Psychological Measurement, 2016
The purpose of this article is to highlight the distinction between the reliability of test scores and the fit of psychometric measurement models, reminding readers why it is important to consider both when evaluating whether test scores are valid for a proposed interpretation and/or use. It is often the case that an investigator judges both the…
Descriptors: Test Reliability, Goodness of Fit, Scores, Patients
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Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2015
A latent variable modeling procedure that can be used to evaluate intraclass correlation coefficients in two-level settings with discrete response variables is discussed. The approach is readily applied when the purpose is to furnish confidence intervals at prespecified confidence levels for these coefficients in setups with binary or ordinal…
Descriptors: Correlation, Computation, Statistical Analysis, Hierarchical Linear Modeling
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Zeng, Ji; Yin, Ping; Shedden, Kerby A. – Educational and Psychological Measurement, 2015
This article provides a brief overview and comparison of three matching approaches in forming comparable groups for a study comparing test administration modes (i.e., computer-based tests [CBT] and paper-and-pencil tests [PPT]): (a) a propensity score matching approach proposed in this article, (b) the propensity score matching approach used by…
Descriptors: Comparative Analysis, Computer Assisted Testing, Probability, Classification
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Wollack, James A.; Cohen, Allan S.; Eckerly, Carol A. – Educational and Psychological Measurement, 2015
Test tampering, especially on tests for educational accountability, is an unfortunate reality, necessitating that the state (or its testing vendor) perform data forensic analyses, such as erasure analyses, to look for signs of possible malfeasance. Few statistical approaches exist for detecting fraudulent erasures, and those that do largely do not…
Descriptors: Tests, Cheating, Item Response Theory, Accountability
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Preston, Kathleen Suzanne Johnson; Parral, Skye N.; Gottfried, Allen W.; Oliver, Pamella H.; Gottfried, Adele Eskeles; Ibrahim, Sirena M.; Delany, Danielle – Educational and Psychological Measurement, 2015
A psychometric analysis was conducted using the nominal response model under the item response theory framework to construct the Positive Family Relationships scale. Using data from the Fullerton Longitudinal Study, this scale was constructed within a long-term longitudinal framework spanning middle childhood through adolescence. Items tapping…
Descriptors: Family Relationship, Measures (Individuals), Psychometrics, Models
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Cousineau, Denis; Laurencelle, Louis – Educational and Psychological Measurement, 2015
Existing tests of interrater agreements have high statistical power; however, they lack specificity. If the ratings of the two raters do not show agreement but are not random, the current tests, some of which are based on Cohen's kappa, will often reject the null hypothesis, leading to the wrong conclusion that agreement is present. A new test of…
Descriptors: Interrater Reliability, Monte Carlo Methods, Measurement Techniques, Accuracy
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Seo, Dong Gi; Weiss, David J. – Educational and Psychological Measurement, 2015
Most computerized adaptive tests (CATs) have been studied using the framework of unidimensional item response theory. However, many psychological variables are multidimensional and might benefit from using a multidimensional approach to CATs. This study investigated the accuracy, fidelity, and efficiency of a fully multidimensional CAT algorithm…
Descriptors: Computer Assisted Testing, Adaptive Testing, Accuracy, Fidelity
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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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Olvera Astivia, Oscar L.; Zumbo, Bruno D. – Educational and Psychological Measurement, 2015
To further understand the properties of data-generation algorithms for multivariate, nonnormal data, two Monte Carlo simulation studies comparing the Vale and Maurelli method and the Headrick fifth-order polynomial method were implemented. Combinations of skewness and kurtosis found in four published articles were run and attention was…
Descriptors: Data, Simulation, Monte Carlo Methods, Comparative Analysis
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Ames, Allison J.; Samonte, Kelli – Educational and Psychological Measurement, 2015
Interest in using Bayesian methods for estimating item response theory models has grown at a remarkable rate in recent years. This attentiveness to Bayesian estimation has also inspired a growth in available software such as WinBUGS, R packages, BMIRT, MPLUS, and SAS PROC MCMC. This article intends to provide an accessible overview of Bayesian…
Descriptors: Item Response Theory, Bayesian Statistics, Computation, Computer Software
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DeMars, Christine E.; Jurich, Daniel P. – Educational and Psychological Measurement, 2015
In educational testing, differential item functioning (DIF) statistics must be accurately estimated to ensure the appropriate items are flagged for inspection or removal. This study showed how using the Rasch model to estimate DIF may introduce considerable bias in the results when there are large group differences in ability (impact) and the data…
Descriptors: Test Bias, Guessing (Tests), Ability, Differences
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Van Horn, M. Lee; Jaki, Thomas; Masyn, Katherine; Howe, George; Feaster, Daniel J.; Lamont, Andrea E.; George, Melissa R. W.; Kim, Minjung – Educational and Psychological Measurement, 2015
Research increasingly emphasizes understanding differential effects. This article focuses on understanding regression mixture models, which are relatively new statistical methods for assessing differential effects by comparing results to using an interactive term in linear regression. The research questions which each model answers, their…
Descriptors: Regression (Statistics), Models, Statistical Analysis, Comparative Analysis
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Madison, Matthew J.; Bradshaw, Laine P. – Educational and Psychological Measurement, 2015
Diagnostic classification models are psychometric models that aim to classify examinees according to their mastery or non-mastery of specified latent characteristics. These models are well-suited for providing diagnostic feedback on educational assessments because of their practical efficiency and increased reliability when compared with other…
Descriptors: Classification, Accuracy, Models, Psychometrics
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Deng, Lifang; Marcoulides, George A.; Yuan, Ke-Hai – Educational and Psychological Measurement, 2015
Certain diversity among team members is beneficial to the growth of an organization. Multiple measures have been proposed to quantify diversity, although little is known about their psychometric properties. This article proposes several methods to evaluate the unidimensionality and reliability of three measures of diversity. To approximate the…
Descriptors: Likert Scales, Psychometrics, Cultural Differences, Measures (Individuals)
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