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Marland, Joshua; Harrick, Matthew; Sireci, Stephen G. – Educational and Psychological Measurement, 2020
Student assessment nonparticipation (or opt out) has increased substantially in K-12 schools in states across the country. This increase in opt out has the potential to impact achievement and growth (or value-added) measures used for educator and institutional accountability. In this simulation study, we investigated the extent to which…
Descriptors: Value Added Models, Teacher Effectiveness, Teacher Evaluation, Elementary Secondary Education
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LaVoie, Noelle; Parker, James; Legree, Peter J.; Ardison, Sharon; Kilcullen, Robert N. – Educational and Psychological Measurement, 2020
Automated scoring based on Latent Semantic Analysis (LSA) has been successfully used to score essays and constrained short answer responses. Scoring tests that capture open-ended, short answer responses poses some challenges for machine learning approaches. We used LSA techniques to score short answer responses to the Consequences Test, a measure…
Descriptors: Semantics, Evaluators, Essays, Scoring
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Cohn, Sophie; Huggins-Manley, Anne Corinne – Educational and Psychological Measurement, 2020
The purpose of this study is to evaluate whether a recently developed semiordered model can be used to explore the functioning of neutral response options in rating scale data. Huggins-Manley, Algina, and Zhou developed a class of unidimensional models for semiordered data within scale items (i.e., items with both ordered response categories and…
Descriptors: Models, Responses, Evaluation Methods, Preservice Teachers
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Aytürk, Ezgi; Cham, Heining; Jennings, Patricia A.; Brown, Joshua L. – Educational and Psychological Measurement, 2020
Methods to handle ordered-categorical indicators in latent variable interactions have been developed, yet they have not been widely applied. This article compares the performance of two popular latent variable interaction modeling approaches in handling ordered-categorical indicators: unconstrained product indicator (UPI) and latent moderated…
Descriptors: Evaluation Methods, Grade 3, Grade 4, Grade 5
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Finch, W. Holmes – Educational and Psychological Measurement, 2020
Exploratory factor analysis (EFA) is widely used by researchers in the social sciences to characterize the latent structure underlying a set of observed indicator variables. One of the primary issues that must be resolved when conducting an EFA is determination of the number of factors to retain. There exist a large number of statistical tools…
Descriptors: Factor Analysis, Goodness of Fit, Social Sciences, Comparative Analysis
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Zopluoglu, Cengiz – Educational and Psychological Measurement, 2020
A mixture extension of Samejima's continuous response model for continuous measurement outcomes and its estimation through a heuristic approach based on limited-information factor analysis is introduced. Using an empirical data set, it is shown that two groups of respondents that differ both qualitatively and quantitatively in their response…
Descriptors: Item Response Theory, Measurement, Models, Heuristics
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Hong, Maxwell; Steedle, Jeffrey T.; Cheng, Ying – Educational and Psychological Measurement, 2020
Insufficient effort responding (IER) affects many forms of assessment in both educational and psychological contexts. Much research has examined different types of IER, IER's impact on the psychometric properties of test scores, and preprocessing procedures used to detect IER. However, there is a gap in the literature in terms of practical advice…
Descriptors: Responses, Psychometrics, Test Validity, Test Reliability
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Himelfarb, Igor; Marcoulides, Katerina M.; Fang, Guoliang; Shotts, Bruce L. – Educational and Psychological Measurement, 2020
The chiropractic clinical competency examination uses groups of items that are integrated by a common case vignette. The nature of the vignette items violates the assumption of local independence for items nested within a vignette. This study examines via simulation a new algorithmic approach for addressing the local independence violation problem…
Descriptors: Allied Health Occupations Education, Allied Health Personnel, Competence, Tests
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Yesiltas, Gonca; Paek, Insu – Educational and Psychological Measurement, 2020
A log-linear model (LLM) is a well-known statistical method to examine the relationship among categorical variables. This study investigated the performance of LLM in detecting differential item functioning (DIF) for polytomously scored items via simulations where various sample sizes, ability mean differences (impact), and DIF types were…
Descriptors: Simulation, Sample Size, Item Analysis, Scores
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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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Raymond, Mark R.; Jiang, Zhehan – Educational and Psychological Measurement, 2020
Conventional methods for evaluating the utility of subscores rely on traditional indices of reliability and on correlations among subscores. One limitation of correlational methods is that they do not explicitly consider variation in subtest means. An exception is an index of score profile reliability designated as [G], which quantifies the ratio…
Descriptors: Generalizability Theory, Multivariate Analysis, Scores, Reliability
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Audette, Lillian M.; Hammond, Marie S.; Rochester, Natalie K. – Educational and Psychological Measurement, 2020
Longitudinal studies are commonly used in the social and behavioral sciences to answer a wide variety of research questions. Longitudinal researchers often collect data anonymously from participants when studying sensitive topics to ensure that accurate information is provided. One difficulty gathering longitudinal anonymous data is that of…
Descriptors: Research Methodology, Longitudinal Studies, Research Design, Social Science Research
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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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Hayes, Timothy; Usami, Satoshi – Educational and Psychological Measurement, 2020
Recently, quantitative researchers have shown increased interest in two-step factor score regression (FSR) approaches to structural model estimation. A particularly promising approach proposed by Croon involves first extracting factor scores for each latent factor in a larger model, then correcting the variance-covariance matrix of the factor…
Descriptors: Regression (Statistics), Structural Equation Models, Statistical Bias, Correlation
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Shi, Dexin; Lee, Taehun; Fairchild, Amanda J.; Maydeu-Olivares, Alberto – Educational and Psychological Measurement, 2020
This study compares two missing data procedures in the context of ordinal factor analysis models: pairwise deletion (PD; the default setting in Mplus) and multiple imputation (MI). We examine which procedure demonstrates parameter estimates and model fit indices closer to those of complete data. The performance of PD and MI are compared under a…
Descriptors: Factor Analysis, Statistical Analysis, Computation, Goodness of Fit
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