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Philipp Sterner; Kim De Roover; David Goretzko – Structural Equation Modeling: A Multidisciplinary Journal, 2025
When comparing relations and means of latent variables, it is important to establish measurement invariance (MI). Most methods to assess MI are based on confirmatory factor analysis (CFA). Recently, new methods have been developed based on exploratory factor analysis (EFA); most notably, as extensions of multi-group EFA, researchers introduced…
Descriptors: Error of Measurement, Measurement Techniques, Factor Analysis, Structural Equation Models
Teck Kiang Tan – Practical Assessment, Research & Evaluation, 2024
The procedures of carrying out factorial invariance to validate a construct were well developed to ensure the reliability of the construct that can be used across groups for comparison and analysis, yet mainly restricted to the frequentist approach. This motivates an update to incorporate the growing Bayesian approach for carrying out the Bayesian…
Descriptors: Bayesian Statistics, Factor Analysis, Programming Languages, Reliability
Marc Brysbaert – Cognitive Research: Principles and Implications, 2024
Experimental psychology is witnessing an increase in research on individual differences, which requires the development of new tasks that can reliably assess variations among participants. To do this, cognitive researchers need statistical methods that many researchers have not learned during their training. The lack of expertise can pose…
Descriptors: Experimental Psychology, Individual Differences, Statistical Analysis, Task Analysis
Zhoc, Karen C. H.; Webster, Beverley J.; King, Ronnel B.; Li, Johnson C. H.; Chung, Tony S. H. – Research in Higher Education, 2019
This study describes the development and validation of the Higher Education Student Engagement Scale (HESES). The psychometric evaluations of the scale included: (i) factor structure, (ii) internal consistency, and (iii) criterion validity. The HESES was developed based on our proposed five-factor model of student engagement, which was evolved…
Descriptors: Higher Education, Learner Engagement, Measures (Individuals), Test Construction
Watson, Joshua C. – Measurement and Evaluation in Counseling and Development, 2017
Exploratory factor analysis (EFA) is a data reduction technique used to condense data into smaller sets of summary variables by identifying underlying factors potentially accounting for patterns of collinearity among said variables. Using an illustrative example, the 5 general steps of EFA are described with best practices for decision making…
Descriptors: Evidence, Factor Structure, Factor Analysis, Test Construction
Cian, Heidi – Electronic Journal for Research in Science & Mathematics Education, 2020
Socioscientific issues, issues that center on the intersection between scientific and social problems in real-world contexts, are valuable tools to use in science instruction due to their association with gains in scientific literacy, argumentation skills, and content knowledge. However, due to their complex nature, crafting instruction using…
Descriptors: Science and Society, Social Problems, Science Instruction, Prior Learning
Maree, Jacobus Gideon – Journal of Vocational Behavior, 2012
The Career Adapt-Abilities Scale--South African Form (CAAS) consists of four scales, each with six items that measure concern, control, curiosity, and confidence as psychosocial resources for managing occupational transitions, developmental tasks and work traumas. Internal consistency estimates for the subscale and total scores ranged from good to…
Descriptors: Construct Validity, Factor Structure, Measures (Individuals), Psychometrics
Tak, Jinkook – Journal of Vocational Behavior, 2012
The Career Adapt-Abilities Scale (CAAS)--Korea Form consists of four subscales, each with six items. The subscales measure concern, control, curiosity, and confidence as psychosocial resources for managing occupational transitions, developmental tasks, and work traumas. Internal consistency estimates for the subscale and total scores ranged from…
Descriptors: Foreign Countries, Vocational Adjustment, Measures (Individuals), Test Reliability
Teixeira, Marco Antonio Pereira; Bardagi, Marucia Patta; Lassance, Maria Celia Pacheco; Magalhaes, Mauro de Oliveira; Duarte, Maria Eduarda – Journal of Vocational Behavior, 2012
The Career Adapt-Abilities Scale--Brazilian Form (CAASBrazil) consists of four scales which measure concern, control, curiosity, and confidence as psychosocial resources for managing occupational transitions, developmental tasks, and work traumas. Internal consistency estimates for the subscale and total scores ranged from good to excellent. The…
Descriptors: Foreign Countries, Vocational Adjustment, Measures (Individuals), Psychometrics
Porfeli, Erik J.; Savickas, Mark L. – Journal of Vocational Behavior, 2012
This article reports construction and initial validation of the United States form of the Career Adapt-Abilities Scale (CAAS). The CAAS consists of four scales, each with six items, which measure concern, control, curiosity, and confidence as psychosocial resources for managing occupational transitions, developmental tasks, and work traumas.…
Descriptors: Foreign Countries, Vocational Adjustment, Measures (Individuals), Psychometrics
Soresi, Salvatore; Nota, Laura; Ferrari, Lea – Journal of Vocational Behavior, 2012
The Career Adapt-Abilities Scale (CAAS)-Italian Form consists of four 6-item scales, which measure concern, control, curiosity, and confidence as psychosocial resources for managing occupational transitions, developmental tasks, and work traumas. The 24-item CAAS-Italian Form is identical to the International Form 2.0. The factor structure was…
Descriptors: Foreign Countries, Vocational Adjustment, Measures (Individuals), Psychometrics
van Vianen, Annelies E. M.; Klehe, Ute-Christine; Koen, Jessie; Dries, Nicky – Journal of Vocational Behavior, 2012
The Career Adapt-Abilities Scale (CAAS)--Netherlands Form consists of four scales, each with six items, which measure concern, control, curiosity, and confidence as psychosocial resources for managing occupational transitions, developmental tasks, and work traumas. Internal consistency estimates for the subscale and total scores ranged from…
Descriptors: Foreign Countries, Vocational Adjustment, Measures (Individuals), Psychometrics
Oort, Frans J. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
In exploratory or unrestricted factor analysis, all factor loadings are free to be estimated. In oblique solutions, the correlations between common factors are free to be estimated as well. The purpose of this article is to show how likelihood-based confidence intervals can be obtained for rotated factor loadings and factor correlations, by…
Descriptors: Intervals, Personality Traits, Factor Analysis, Correlation
Wise, Lauress L. – Applied Measurement in Education, 2010
The articles in this special issue make two important contributions to our understanding of the impact of accommodations on test score validity. First, they illustrate a variety of methods for collection and rigorous analyses of empirical data that can supplant expert judgment of the impact of accommodations. These methods range from internal…
Descriptors: Reading Achievement, Educational Assessment, Test Reliability, Learning Disabilities
Locke, Benjamin D.; Buzolitz, Johanna Soet; Lei, Pui-Wa; Boswell, James F.; McAleavey, Andrew A.; Sevig, Todd D.; Dowis, Jerome D.; Hayes, Jeffrey A. – Journal of Counseling Psychology, 2011
Few instruments have been designed specifically to address the needs of college counseling centers. This article reviews existing instruments and presents 4 studies that describe the development and psychometric properties of a new instrument, the Counseling Center Assessment of Psychological Symptoms-62 (CCAPS-62). Study 1 describes the initial…
Descriptors: Counseling Services, Construct Validity, Factor Structure, Factor Analysis