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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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Raykov, Tenko; Marcoulides, George A.; Harrison, Michael; Menold, Natalja – Educational and Psychological Measurement, 2019
This note confronts the common use of a single coefficient alpha as an index informing about reliability of a multicomponent measurement instrument in a heterogeneous population. Two or more alpha coefficients could instead be meaningfully associated with a given instrument in finite mixture settings, and this may be increasingly more likely the…
Descriptors: Statistical Analysis, Test Reliability, Measures (Individuals), Computation
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Lin, Chuan-Ju; Chang, Hua-Hua – Educational and Psychological Measurement, 2019
For item selection in cognitive diagnostic computerized adaptive testing (CD-CAT), ideally, a single item selection index should be created to simultaneously regulate precision, exposure status, and attribute balancing. For this purpose, in this study, we first proposed an attribute-balanced item selection criterion, namely, the standardized…
Descriptors: Test Items, Selection Criteria, Computer Assisted Testing, Adaptive Testing
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Jaki, Thomas; Kim, Minjung; Lamont, Andrea; George, Melissa; Chang, Chi; Feaster, Daniel; Van Horn, M. Lee – Educational and Psychological Measurement, 2019
Regression mixture models are a statistical approach used for estimating heterogeneity in effects. This study investigates the impact of sample size on regression mixture's ability to produce "stable" results. Monte Carlo simulations and analysis of resamples from an application data set were used to illustrate the types of problems that…
Descriptors: Sample Size, Computation, Regression (Statistics), Reliability
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Ferrando, Pere J.; Lorenzo-Seva, Urbano – Educational and Psychological Measurement, 2019
Measures initially designed to be single-trait often yield data that are compatible with both an essentially unidimensional factor-analysis (FA) solution and a correlated-factors solution. For these cases, this article proposes an approach aimed at providing information for deciding which of the two solutions is the most appropriate and useful.…
Descriptors: Factor Analysis, Computation, Reliability, Goodness of Fit
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Bolin, Jocelyn H.; Finch, W. Holmes; Stenger, Rachel – Educational and Psychological Measurement, 2019
Multilevel data are a reality for many disciplines. Currently, although multiple options exist for the treatment of multilevel data, most disciplines strictly adhere to one method for multilevel data regardless of the specific research design circumstances. The purpose of this Monte Carlo simulation study is to compare several methods for the…
Descriptors: Hierarchical Linear Modeling, Computation, Statistical Analysis, Maximum Likelihood Statistics
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Luo, Yong; Dimitrov, Dimiter M. – Educational and Psychological Measurement, 2019
Plausible values can be used to either estimate population-level statistics or compute point estimates of latent variables. While it is well known that five plausible values are usually sufficient for accurate estimation of population-level statistics in large-scale surveys, the minimum number of plausible values needed to obtain accurate latent…
Descriptors: Item Response Theory, Monte Carlo Methods, Markov Processes, Outcome Measures
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Debelak, Rudolf; Strobl, Carolin – Educational and Psychological Measurement, 2019
M-fluctuation tests are a recently proposed method for detecting differential item functioning in Rasch models. This article discusses a generalization of this method to two additional item response theory models: the two-parametric logistic model and the three-parametric logistic model with a common guessing parameter. The Type I error rate and…
Descriptors: Test Bias, Item Response Theory, Statistical Analysis, Maximum Likelihood Statistics
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Qiu, Yuxi; Huggins-Manley, Anne Corinne – Educational and Psychological Measurement, 2019
This study aimed to assess the accuracy of the empirical item characteristic curve (EICC) preequating method given the presence of test speededness. The simulation design of this study considered the proportion of speededness, speededness point, speededness rate, proportion of missing on speeded items, sample size, and test length. After crossing…
Descriptors: Accuracy, Equated Scores, Test Items, Nonparametric Statistics
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Shi, Dexin; Lee, Taehun; Maydeu-Olivares, Alberto – Educational and Psychological Measurement, 2019
This study investigated the effect the number of observed variables (p) has on three structural equation modeling indices: the comparative fit index (CFI), the Tucker--Lewis index (TLI), and the root mean square error of approximation (RMSEA). The behaviors of the population fit indices and their sample estimates were compared under various…
Descriptors: Structural Equation Models, Goodness of Fit, Sample Size
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