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Showing 1 to 15 of 322 results Save | Export
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Schweizer, Karl; Gold, Andreas; Krampen, Dorothea – Educational and Psychological Measurement, 2023
In modeling missing data, the missing data latent variable of the confirmatory factor model accounts for systematic variation associated with missing data so that replacement of what is missing is not required. This study aimed at extending the modeling missing data approach to tetrachoric correlations as input and at exploring the consequences of…
Descriptors: Data, Models, Factor Analysis, Correlation
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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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Pere J. Ferrando; Ana Hernández-Dorado; Urbano Lorenzo-Seva – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A frequent criticism of exploratory factor analysis (EFA) is that it does not allow correlated residuals to be modelled, while they can be routinely specified in the confirmatory (CFA) model. In this article, we propose an EFA approach in which both the common factor solution and the residual matrix are unrestricted (i.e., the correlated residuals…
Descriptors: Correlation, Factor Analysis, Models, Goodness of Fit
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Cátia Marques; Íris M. Oliveira; Jaisso Vautero; Ana Daniela Silva – International Journal for Educational and Vocational Guidance, 2024
This study examined the psychometric properties of the Career Adapt-Abilities Scale in a Lebanese sample. The study includes 236 Lebanese citizens (54.2% women; M[subscript age] = 30.14). Confirmatory factor analyses indicated that a hierarchical model yielded a good fit, with the CAAS measuring four distinct dimensions that can be combined in a…
Descriptors: Psychometrics, Career Development, Factor Analysis, Goodness of Fit
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Pere J. Ferrando; David Navarro-González; Fabia Morales-Vives – Educational and Psychological Measurement, 2025
The problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the…
Descriptors: Scores, Accuracy, Evaluation Methods, Factor Analysis
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Fatih Orcan – International Journal of Assessment Tools in Education, 2023
Among all, Cronbach's Alpha and McDonald's Omega are commonly used for reliability estimations. The alpha uses inter-item correlations while omega is based on a factor analysis result. This study uses simulated ordinal data sets to test whether the alpha and omega produce different estimates. Their performances were compared according to the…
Descriptors: Statistical Analysis, Monte Carlo Methods, Correlation, Factor Analysis
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Lee, Bitna; Sohn, Wonsook – Educational and Psychological Measurement, 2022
A Monte Carlo study was conducted to compare the performance of a level-specific (LS) fit evaluation with that of a simultaneous (SI) fit evaluation in multilevel confirmatory factor analysis (MCFA) models. We extended previous studies by examining their performance under MCFA models with different factor structures across levels. In addition,…
Descriptors: Goodness of Fit, Factor Structure, Monte Carlo Methods, Factor Analysis
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Ferrando, Pere J.; Lorenzo-Seva, Urbano – Educational and Psychological Measurement, 2019
Measures initially designed to be single-trait often yield data that are compatible with both an essentially unidimensional factor-analysis (FA) solution and a correlated-factors solution. For these cases, this article proposes an approach aimed at providing information for deciding which of the two solutions is the most appropriate and useful.…
Descriptors: Factor Analysis, Computation, Reliability, Goodness of Fit
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Aghebati, Asma; Javaherirenani, Razieh; Amin, Razieh; Pazhooyan, Mahdiye; Farahani, Hojjatollah; Ahadianfard, Pantea – Psychology in the Schools, 2023
Purpose: This study explores the psychometric properties of the Persian version of the Child and Youth Resilience Measure--Revised (CYRM-R) in adolescent population. Method: A sample of 323 Iranian adolescents (12-18 years old) completed the CYRM-R, Resilient Scale (RS), Beck Depression Inventory (BDI-II), and Mental Health Continuum Short Form…
Descriptors: Psychometrics, Translation, Indo European Languages, Resilience (Psychology)
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Alamer, Abdullah; Marsh, Herbert – Studies in Second Language Acquisition, 2022
This study offers methodological synergy in the examination of factorial structure in second language (L2) research. It illustrates the effectiveness and flexibility of the recently developed exploratory structural equation modeling (ESEM) method, which integrates the advantages of exploratory factor analysis (EFA) and confirmatory factor analysis…
Descriptors: Factor Structure, Factor Analysis, Structural Equation Models, Second Language Learning
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Olger Gutiérrez-Aguilar; Osbaldo Turpo-Gebera; Sandra Chicaña-Huanca; Kevin Mario Laura-de-la-Cruz; Gerber Pérez-Postigo; Rocio Diaz-Zavala; Ingrid Osorio Ccoya – Journal of Technology and Science Education, 2024
The main objective of this study is to examine the correlation between digital skills and their correlation with digital citizenship among students enrolled at a university in Peru. The research was carried out using a sample of 906 participants, encompassing individuals of various genders, with ages spanning from 17 to 54 years. The methodology…
Descriptors: Digital Literacy, Citizenship Education, Correlation, College Students
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Salami, Sedigheh; Ribeiro Bandeira, Paulo Felipe; Martins, Clarice; Hardy, Louise L.; Shams, Amir; Dehkordi, Parvaneh Shamsipour – Journal of Motor Learning and Development, 2023
Purpose: To examine the factor structure and measurement invariance of the Körperkoordinations Test Für Kinder (KTK) and covariates of motor competence in a sample of Iranian children aged 5-14 years. Methods: Participants were children aged 5-14 years (N = 432, 61% boys). Age, sex, and body mass index were collected. Confirmatory factor analysis…
Descriptors: Foreign Countries, Factor Structure, Psychomotor Skills, Children
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Cunha, Marina; Oliveira, Sara; Coimbra, Maria; Ferreira, Cláudia – Child & Youth Care Forum, 2023
Psychological inflexibility has been associated with several mental health indicators. The Avoidance and Fusion Questionnaire for Youth (AFQ-Y) has been the most used measure to assess psychological inflexibility in adolescents, having been adapted to several different languages, including Portuguese. However, the short 8-item version of this…
Descriptors: Correlation, Psychological Patterns, Mental Health, Adolescents
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Montoya, Amanda K.; Edwards, Michael C. – Educational and Psychological Measurement, 2021
Model fit indices are being increasingly recommended and used to select the number of factors in an exploratory factor analysis. Growing evidence suggests that the recommended cutoff values for common model fit indices are not appropriate for use in an exploratory factor analysis context. A particularly prominent problem in scale evaluation is the…
Descriptors: Goodness of Fit, Factor Analysis, Cutting Scores, Correlation
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Juan, Liu Xin; Tao, Wu Yun; Veloo, Palanisamy K.; Supramaniam, Mahadevan – SAGE Open, 2022
Dishonest academic behavior (DAB) by students in Chinese higher education institutions has become a significant concern. However, the related study of academic dishonesty in mainland China is very limited. This study fills this gap by examining the theory of planned behavior and its three extended versions, validating the effectiveness of…
Descriptors: Prediction, Models, Cheating, Behavior Theories
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