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Showing 1 to 15 of 52 results Save | Export
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Karl Schweizer; Andreas Gold; Dorothea Krampen; Stefan Troche – Educational and Psychological Measurement, 2024
Conceptualizing two-variable disturbances preventing good model fit in confirmatory factor analysis as item-level method effects instead of correlated residuals avoids violating the principle that residual variation is unique for each item. The possibility of representing such a disturbance by a method factor of a bifactor measurement model was…
Descriptors: Correlation, Factor Analysis, Measurement Techniques, Item Analysis
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Stephanie M. Bell; R. Philip Chalmers; David B. Flora – Educational and Psychological Measurement, 2024
Coefficient omega indices are model-based composite reliability estimates that have become increasingly popular. A coefficient omega index estimates how reliably an observed composite score measures a target construct as represented by a factor in a factor-analysis model; as such, the accuracy of omega estimates is likely to depend on correct…
Descriptors: Influences, Models, Measurement Techniques, Reliability
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Finch, Holmes – Applied Measurement in Education, 2022
Much research has been devoted to identification of differential item functioning (DIF), which occurs when the item responses for individuals from two groups differ after they are conditioned on the latent trait being measured by the scale. There has been less work examining differential step functioning (DSF), which is present for polytomous…
Descriptors: Comparative Analysis, Item Response Theory, Item Analysis, Simulation
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Kaj Sparle Christensen; Ole Jakob Storebø; Bo Bach – Journal of Attention Disorders, 2025
Objective: This study examines the validity of the ASRS-5 as a new screening tool for ADHD and evaluates its proposed screening cut-off in a general population context. Method: A nationally representative sample of 2,002 individuals aged 18 to 80 years was surveyed using the ASRS-5, with complete data obtained from 714 participants. Psychometric…
Descriptors: Foreign Countries, Construct Validity, Psychometrics, Item Analysis
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Leventhal, Brian C.; Zigler, Christina K. – Measurement: Interdisciplinary Research and Perspectives, 2023
Survey score interpretations are often plagued by sources of construct-irrelevant variation, such as response styles. In this study, we propose the use of an IRTree Model to account for response styles by making use of self-report items and anchoring vignettes. Specifically, we investigate how the IRTree approach with anchoring vignettes compares…
Descriptors: Scores, Vignettes, Response Style (Tests), Item Response Theory
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Raykov, Tenko; Marcoulides, George A.; Huber, Chuck – Measurement: Interdisciplinary Research and Perspectives, 2020
It is demonstrated that the popular three-parameter logistic model can lead to markedly inaccurate individual ability level estimates for mixture populations. A theoretically and empirically important setting is initially considered where (a) in one of two subpopulations (latent classes) the two-parameter logistic model holds for each item in a…
Descriptors: Item Response Theory, Models, Measurement Techniques, Item Analysis
Gin, Brian; Sim, Nicholas; Skrondal, Anders; Rabe-Hesketh, Sophia – Grantee Submission, 2020
We propose a dyadic Item Response Theory (dIRT) model for measuring interactions of pairs of individuals when the responses to items represent the actions (or behaviors, perceptions, etc.) of each individual (actor) made within the context of a dyad formed with another individual (partner). Examples of its use include the assessment of…
Descriptors: Item Response Theory, Generalization, Item Analysis, Problem Solving
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Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2016
The frequently neglected and often misunderstood relationship between classical test theory and item response theory is discussed for the unidimensional case with binary measures and no guessing. It is pointed out that popular item response models can be directly obtained from classical test theory-based models by accounting for the discrete…
Descriptors: Test Theory, Item Response Theory, Models, Correlation
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Jones, Ryan Seth – Society for Research on Educational Effectiveness, 2013
Estimates of fidelity of implementation are essential to interpret the effects of educational interventions in randomized controlled trials (RCTs). While random assignment protects against many threats to validity, and therefore provides the best approximation to a true counterfactual condition, it does not ensure that the treatment condition…
Descriptors: Fidelity, Construct Validity, Program Implementation, Intervention
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Jiao, Hong; Macready, George; Liu, Junhui; Cho, Youngmi – Applied Psychological Measurement, 2012
This study explored a computerized adaptive test delivery algorithm for latent class identification based on the mixture Rasch model. Four item selection methods based on the Kullback-Leibler (KL) information were proposed and compared with the reversed and the adaptive KL information under simulated testing conditions. When item separation was…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Identification
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Scholten, Annemarie Zand; Maris, Gunter; Borsboom, Denny – Measurement: Interdisciplinary Research and Perspectives, 2011
In his opening statements, Humphry takes a critical attitude with respect to psychometric modeling. As he advances and discusses Michell's well-known criticisms, the reader is certain that this paper must have something on offer that deviates considerably from conventional psychometrics. After all "most psychometricians have either explicitly or…
Descriptors: Psychometrics, Research Methodology, Models, Measurement Techniques
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Marek, Lydia I.; Brock, Donna-Jean P.; Savla, Jyoti – American Journal of Evaluation, 2015
Although collaboration is recognized as an effective means to address multifaceted community issues, successful collaboration is difficult to achieve and failure is prevalent. To effectively collaborate, collaborators must recognize the strengths and weaknesses within their own efforts. Using Mattessich and colleagues' work as a springboard, a…
Descriptors: Cooperative Programs, Cooperation, Teamwork, Group Dynamics
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Lowe, Patricia A. – Journal of Psychoeducational Assessment, 2014
The psychometric properties of the Revised Children's Manifest Anxiety Scale-Second Edition (RCMAS-2) were examined in a sample of 1,003 U.S. elementary and secondary students in Grades 2 to 12. Confirmatory factor analyses (CFAs) were performed comparing the five-factor (target) model consisting of three anxiety (Physiological Anxiety, Social…
Descriptors: Psychometrics, Anxiety, Elementary School Students, Secondary School Students
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Perry, John L.; Nicholls, Adam R.; Clough, Peter J.; Crust, Lee – Measurement in Physical Education and Exercise Science, 2015
Despite the limitations of overgeneralizing cutoff values for confirmatory factor analysis (CFA; e.g., Marsh, Hau, & Wen, 2004), they are still often employed as golden rules for assessing factorial validity in sport and exercise psychology. The purpose of this study was to investigate the appropriateness of using the CFA approach with these…
Descriptors: Factor Analysis, Structural Equation Models, Goodness of Fit, Sport Psychology
Grays, Makayla – ProQuest LLC, 2013
Students must be sufficiently motivated in order to achieve the intended learning outcomes of their college courses. Research in education and psychology has found motivation to be context-dependent. Therefore, students' motivation is likely to differ from one semester to the next according to which courses students are taking. However, there are…
Descriptors: Longitudinal Studies, Student Motivation, Predictor Variables, Psychometrics
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