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Showing 61 to 75 of 3,736 results Save | Export
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da Silva, Marcelo A.; Liu, Ren; Huggins-Manley, Anne C.; Bazán, Jorge L. – Educational and Psychological Measurement, 2019
Multidimensional item response theory (MIRT) models use data from individual item responses to estimate multiple latent traits of interest, making them useful in educational and psychological measurement, among other areas. When MIRT models are applied in practice, it is not uncommon to see that some items are designed to measure all latent traits…
Descriptors: Item Response Theory, Matrices, Models, Bayesian Statistics
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Sorjonen, Kimmo; Melin, Bo; Ingre, Michael – Educational and Psychological Measurement, 2019
The present simulation study indicates that a method where the regression effect of a predictor (X) on an outcome at follow-up (Y1) is calculated while adjusting for the outcome at baseline (Y0) can give spurious findings, especially when there is a strong correlation between X and Y0 and when the test-retest correlation between Y0 and Y1 is…
Descriptors: Predictor Variables, Regression (Statistics), Correlation, Error of Measurement
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Nájera, Pablo; Sorrel, Miguel A.; Abad, Francisco José – Educational and Psychological Measurement, 2019
Cognitive diagnosis models (CDMs) are latent class multidimensional statistical models that help classify people accurately by using a set of discrete latent variables, commonly referred to as attributes. These models require a Q-matrix that indicates the attributes involved in each item. A potential problem is that the Q-matrix construction…
Descriptors: Matrices, Statistical Analysis, Models, Classification
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Walters, Glenn D.; Espelage, Dorothy L. – Educational and Psychological Measurement, 2019
The purpose of this study was to investigate the latent structure type (categorical vs. dimensional) of bullying perpetration in a large sample of middle school students. A nine-item bullying scale was administered to 1,222 (625 boys, 597 girls) early adolescents enrolled in middle schools in a Midwestern state. Based on the results of a principal…
Descriptors: Early Adolescents, Bullying, Middle School Students, Scores
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Man, Kaiwen; Harring, Jeffrey R. – Educational and Psychological Measurement, 2019
With the development of technology-enhanced learning platforms, eye-tracking biometric indicators can be recorded simultaneously with students item responses. In the current study, visual fixation, an essential eye-tracking indicator, is modeled to reflect the degree of test engagement when a test taker solves a set of test questions. Three…
Descriptors: Test Items, Eye Movements, Models, Regression (Statistics)
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Briggs, Derek C.; Alzen, Jessica L. – Educational and Psychological Measurement, 2019
Observation protocol scores are commonly used as status measures to support inferences about teacher practices. When multiple observations are collected for the same teacher over the course of a year, some portion of a teacher's score on each occasion may be attributable to the rater, lesson, and the time of year of the observation. All three of…
Descriptors: Observation, Inferences, Generalizability Theory, Scores
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Wang, Jue; Engelhard, George, Jr. – Educational and Psychological Measurement, 2019
The purpose of this study is to explore the use of unfolding models for evaluating the quality of ratings obtained in rater-mediated assessments. Two different judgmental processes can be used to conceptualize ratings: impersonal judgments and personal preferences. Impersonal judgments are typically expected in rater-mediated assessments, and…
Descriptors: Evaluative Thinking, Preferences, Evaluators, Models
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Sachse, Karoline A.; Mahler, Nicole; Pohl, Steffi – Educational and Psychological Measurement, 2019
Mechanisms causing item nonresponses in large-scale assessments are often said to be nonignorable. Parameter estimates can be biased if nonignorable missing data mechanisms are not adequately modeled. In trend analyses, it is plausible for the missing data mechanism and the percentage of missing values to change over time. In this article, we…
Descriptors: International Assessment, Response Style (Tests), Achievement Tests, Foreign Countries
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Olvera Astivia, Oscar L.; Kroc, Edward – Educational and Psychological Measurement, 2019
Within the context of moderated multiple regression, mean centering is recommended both to simplify the interpretation of the coefficients and to reduce the problem of multicollinearity. For almost 30 years, theoreticians and applied researchers have advocated for centering as an effective way to reduce the correlation between variables and thus…
Descriptors: Multiple Regression Analysis, Computation, Correlation, Statistical Distributions
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Marcoulides, Katerina M.; Raykov, Tenko – Educational and Psychological Measurement, 2019
A procedure that can be used to evaluate the variance inflation factors and tolerance indices in linear regression models is discussed. The method permits both point and interval estimation of these factors and indices associated with explanatory variables considered for inclusion in a regression model. The approach makes use of popular latent…
Descriptors: Regression (Statistics), Statistical Analysis, Computation, Computer Software
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Park, Minjeong; Wu, Amery D. – Educational and Psychological Measurement, 2019
Item response tree (IRTree) models are recently introduced as an approach to modeling response data from Likert-type rating scales. IRTree models are particularly useful to capture a variety of individuals' behaviors involving in item responding. This study employed IRTree models to investigate response styles, which are individuals' tendencies to…
Descriptors: Item Response Theory, Models, Likert Scales, Response Style (Tests)
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Harrison, Allyson G.; Butt, Kaitlyn; Armstrong, Irene – Educational and Psychological Measurement, 2019
There has been a marked increase in accommodation requests from students with disabilities at both the postsecondary education level and on high-stakes examinations. As such, accurate identification and quantification of normative impairment is essential for equitable provision of accommodations. Considerable diversity currently exists in methods…
Descriptors: Achievement Tests, Test Norms, Age, Instructional Program Divisions
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Wind, Stefanie A.; Guo, Wenjing – Educational and Psychological Measurement, 2019
Rater effects, or raters' tendencies to assign ratings to performances that are different from the ratings that the performances warranted, are well documented in rater-mediated assessments across a variety of disciplines. In many real-data studies of rater effects, researchers have reported that raters exhibit more than one effect, such as a…
Descriptors: Evaluators, Bias, Scoring, Data Collection
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Konstantopoulos, Spyros; Li, Wei; Miller, Shazia; van der Ploeg, Arie – Educational and Psychological Measurement, 2019
This study discusses quantile regression methodology and its usefulness in education and social science research. First, quantile regression is defined and its advantages vis-à-vis vis ordinary least squares regression are illustrated. Second, specific comparisons are made between ordinary least squares and quantile regression methods. Third, the…
Descriptors: Regression (Statistics), Statistical Analysis, Educational Research, Social Science Research
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Bürkner, Paul-Christian; Schulte, Niklas; Holling, Heinz – Educational and Psychological Measurement, 2019
Forced-choice questionnaires have been proposed to avoid common response biases typically associated with rating scale questionnaires. To overcome ipsativity issues of trait scores obtained from classical scoring approaches of forced-choice items, advanced methods from item response theory (IRT) such as the Thurstonian IRT model have been…
Descriptors: Item Response Theory, Measurement Techniques, Questionnaires, Rating Scales
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