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Hoang V. Nguyen; Niels G. Waller – Educational and Psychological Measurement, 2024
We conducted an extensive Monte Carlo study of factor-rotation local solutions (LS) in multidimensional, two-parameter logistic (M2PL) item response models. In this study, we simulated more than 19,200 data sets that were drawn from 96 model conditions and performed more than 7.6 million rotations to examine the influence of (a) slope parameter…
Descriptors: Monte Carlo Methods, Item Response Theory, Correlation, Error of Measurement
Klauth, Bo – ProQuest LLC, 2023
In conducting confirmatory factor analysis with ordered response items, the literature suggests that when the number of responses is five and item skewness (IS) is approximately normal, researchers can employ maximum likelihood with robust standard errors (MLR). However, MLR can yield biased factor loadings (FL) and FL standard errors (FLSE) when…
Descriptors: Item Response Theory, Evaluation Methods, Factor Analysis, Error of Measurement
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Meike Akveld; George Kinnear – International Journal of Mathematical Education in Science and Technology, 2024
Many universities use diagnostic tests to assess incoming students' preparedness for mathematics courses. Diagnostic test results can help students to identify topics where they need more practice and give lecturers a summary of strengths and weaknesses in their class. We demonstrate a process that can be used to make improvements to a mathematics…
Descriptors: Mathematics Tests, Diagnostic Tests, Test Items, Item Analysis
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Mahdi Ghorbankhani; Keyvan Salehi – SAGE Open, 2025
Academic procrastination, the tendency to delay academic tasks without reasonable justification, has significant implications for students' academic performance and overall well-being. To measure this construct, numerous scales have been developed, among which the Academic Procrastination Scale (APS) has shown promise in assessing academic…
Descriptors: Psychometrics, Measures (Individuals), Time Management, Foreign Countries
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Markus T. Jansen; Ralf Schulze – Educational and Psychological Measurement, 2024
Thurstonian forced-choice modeling is considered to be a powerful new tool to estimate item and person parameters while simultaneously testing the model fit. This assessment approach is associated with the aim of reducing faking and other response tendencies that plague traditional self-report trait assessments. As a result of major recent…
Descriptors: Factor Analysis, Models, Item Analysis, Evaluation Methods
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Guo, Wenjing; Choi, Youn-Jeng – Educational and Psychological Measurement, 2023
Determining the number of dimensions is extremely important in applying item response theory (IRT) models to data. Traditional and revised parallel analyses have been proposed within the factor analysis framework, and both have shown some promise in assessing dimensionality. However, their performance in the IRT framework has not been…
Descriptors: Item Response Theory, Evaluation Methods, Factor Analysis, Guidelines
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Huang, Ke; Conroy, Maureen A.; Snyder, Patricia A.; Miller, David; Sutherland, Kevin S. – Assessment for Effective Intervention, 2023
The Social Skills Improvement System-Teacher Rating Scale (SSIS-TRS) has been widely used to measure the social skills and behaviors of children and adolescents that are challenging. Studies examining the psychometric properties of the SSIS-TRS have been conducted, but the dimensional structure and item properties of the SSIS-TRS have not been…
Descriptors: Psychometrics, Integrity, Interpersonal Competence, Rating Scales
Wang, Weimeng – ProQuest LLC, 2022
Recent advancements in testing differential item functioning (DIF) have greatly relaxed restrictions made by the conventional multiple group item response theory (IRT) model with respect to the number of grouping variables and the assumption of predefined DIF-free anchor items. The application of the L[subscript 1] penalty in DIF detection has…
Descriptors: Factor Analysis, Item Response Theory, Statistical Inference, Item Analysis
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Effatpanah, Farshad; Baghaei, Purya – Practical Assessment, Research & Evaluation, 2023
Item response theory (IRT) refers to a family of mathematical models which describe the relationship between latent continuous variables (attributes or characteristics) and their manifestations (dichotomous/polytomous observed outcomes or responses) with regard to a set of item characteristics. Researchers typically use parametric IRT (PIRT)…
Descriptors: Item Response Theory, Feedback (Response), Mathematical Models, Item Analysis
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Yuanfang Liu; Mark H. C. Lai; Ben Kelcey – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Measurement invariance holds when a latent construct is measured in the same way across different levels of background variables (continuous or categorical) while controlling for the true value of that construct. Using Monte Carlo simulation, this paper compares the multiple indicators, multiple causes (MIMIC) model and MIMIC-interaction to a…
Descriptors: Classification, Accuracy, Error of Measurement, Correlation
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Celen, Umit; Aybek, Eren Can – International Journal of Assessment Tools in Education, 2022
Item analysis is performed by developers as an integral part of the scale development process. Thus, items are excluded from the scale depending on the item analysis prior to the factor analysis. Existing item discrimination indices are calculated based on correlation, yet items with different response patterns are likely to have a similar item…
Descriptors: Likert Scales, Factor Analysis, Item Analysis, Correlation
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Kim, Kyungyeol; Lee, Senyung – Measurement in Physical Education and Exercise Science, 2023
The purpose of the study is to validate the 54-item Fitness Switching Costs Scale (FSCS). The FSCS consists of a third-order formative construct with four second-order formative constructs and 11 first-order reflective constructs. Although there was support for the reliability and validity of higher-order constructs, validity of the 11 first-order…
Descriptors: Physical Fitness, Measurement Techniques, Diagnostic Tests, Validity
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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
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Antino, Mirko; Alvarado, Jesús M.; Asún, Rodrigo A.; Bliese, Paul – Sociological Methods & Research, 2020
The need to determine the correct dimensionality of theoretical constructs and generate valid measurement instruments when underlying items are categorical has generated a significant volume of research in the social sciences. This article presents two studies contrasting different categorical exploratory techniques. The first study compares…
Descriptors: Nonparametric Statistics, Factor Analysis, Item Analysis, Robustness (Statistics)
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Moritz Waitzmann; Ruediger Scholz; Susanne Wessnigk – Physical Review Physics Education Research, 2024
Clear and rigorous quantum reasoning is needed to explain quantum physical phenomena. As pillars of true quantum physical explanations, we suggest specific quantum reasoning derived from quantum physical key ideas. An experiment is suggested to support such a quantum reasoning, in which a quantized radiation field interacts with an optical beam…
Descriptors: Physics, Science Instruction, Teaching Methods, Quantum Mechanics
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