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Manapat, Patrick D.; Edwards, Michael C. – Educational and Psychological Measurement, 2022
When fitting unidimensional item response theory (IRT) models, the population distribution of the latent trait ([theta]) is often assumed to be normally distributed. However, some psychological theories would suggest a nonnormal [theta]. For example, some clinical traits (e.g., alcoholism, depression) are believed to follow a positively skewed…
Descriptors: Robustness (Statistics), Computational Linguistics, Item Response Theory, Psychological Patterns
Pere J. Ferrando; Fabia Morales-Vives; Ana Hernández-Dorado – Educational and Psychological Measurement, 2024
In recent years, some models for binary and graded format responses have been proposed to assess unipolar variables or "quasi-traits." These studies have mainly focused on clinical variables that have traditionally been treated as bipolar traits. In the present study, we have made a proposal for unipolar traits measured with continuous…
Descriptors: Item Analysis, Goodness of Fit, Accuracy, Test Validity
Huang, Hung-Yu – Educational and Psychological Measurement, 2023
The forced-choice (FC) item formats used for noncognitive tests typically develop a set of response options that measure different traits and instruct respondents to make judgments among these options in terms of their preference to control the response biases that are commonly observed in normative tests. Diagnostic classification models (DCMs)…
Descriptors: Test Items, Classification, Bayesian Statistics, Decision Making
Preston, Kathleen; Reise, Steven; Cai, Li; Hays, Ron D. – Educational and Psychological Measurement, 2011
The authors used a nominal response item response theory model to estimate category boundary discrimination (CBD) parameters for items drawn from the Emotional Distress item pools (Depression, Anxiety, and Anger) developed in the Patient-Reported Outcomes Measurement Information Systems (PROMIS) project. For polytomous items with ordered response…
Descriptors: Item Response Theory, Models, Item Banks, Rating Scales
Ding, Cody S.; Davison, Mark L. – Educational and Psychological Measurement, 2010
Akaike's information criterion is suggested as a tool for evaluating fit and dimensionality in metric multidimensional scaling that uses least squares methods of estimation. This criterion combines the least squares loss function with the number of estimated parameters. Numerical examples are presented. The results from analyses of both simulation…
Descriptors: Multidimensional Scaling, Least Squares Statistics, Criteria, Computation
Gregg, Vernon H.; Shepherd, Alex J. – Educational and Psychological Measurement, 2009
This study examines the factor structure of scores on the Four Dimension Mood Scale (4DMS) developed by Huelsman, Nemanick, and Munz in response to criticisms of the Positive and Negative Affect Schedule. The results showed that the factor structure of 4DMS scores obtained with a sample of U.K. residents assessed for state affect corresponded…
Descriptors: Factor Structure, Measures (Individuals), Foreign Countries, Psychological Patterns