Publication Date
| In 2026 | 0 |
| Since 2025 | 59 |
| Since 2022 (last 5 years) | 286 |
| Since 2017 (last 10 years) | 844 |
| Since 2007 (last 20 years) | 2308 |
Descriptor
| Factor Analysis | 3340 |
| Factor Structure | 3340 |
| Foreign Countries | 1157 |
| Measures (Individuals) | 997 |
| Psychometrics | 815 |
| Test Validity | 811 |
| Test Reliability | 699 |
| Correlation | 695 |
| Questionnaires | 593 |
| Construct Validity | 471 |
| Goodness of Fit | 450 |
| More ▼ | |
Source
Author
Publication Type
Education Level
Location
| Turkey | 221 |
| China | 91 |
| Australia | 73 |
| United States | 69 |
| Canada | 67 |
| Hong Kong | 55 |
| Germany | 44 |
| Spain | 44 |
| South Korea | 37 |
| Netherlands | 36 |
| Taiwan | 34 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Ramazan Sak – Applied Cognitive Psychology, 2025
As well as being important tools for information acquisition, children's questions can also lead to profound learning. Nevertheless, no scale for measuring their questioning tendencies has hitherto been developed. Accordingly, this study pioneers one for use with preschool children. To establish construct validity, data from 544 children were used…
Descriptors: Preschool Children, Questioning Techniques, Measures (Individuals), Construct Validity
Bodo Przibilla; Chiara Enderle; Gino Casale; David Scheer; Anett Platte; Conny Melzer; Tatjana Leidig – European Journal of Education, 2025
Based on previous research, it can be assumed that teachers' self-efficacy (TSE) varies across situations, domains and individual students' behaviors confronting teachers with particularly challenging tasks. The construct of student-specific TSE is considered informative theoretical basis for understanding the relationship between…
Descriptors: Psychometrics, German, Foreign Countries, Teacher Effectiveness
Bilge Bal-Sezerel; Deniz Arslan; Ugur Sak – Measurement: Interdisciplinary Research and Perspectives, 2025
In this study, the factorial invariance of the ASIS (Anadolu-Sak Intelligence Scale) was examined across time. Data were obtained from there groups of first-grade students who were administered the ASIS in 2020, 2021, and 2022. The analyses were conducted using multisample confirmatory factor analyses. Factorial invariance was tested with six…
Descriptors: Intelligence Tests, Grade 1, Factor Structure, Scores
Adrian Quintero; Emmanuel Lesaffre; Geert Verbeke – Journal of Educational and Behavioral Statistics, 2024
Bayesian methods to infer model dimensionality in factor analysis generally assume a lower triangular structure for the factor loadings matrix. Consequently, the ordering of the outcomes influences the results. Therefore, we propose a method to infer model dimensionality without imposing any prior restriction on the loadings matrix. Our approach…
Descriptors: Bayesian Statistics, Factor Analysis, Factor Structure, Sampling
Timothy R. Konold; Elizabeth A. Sanders – Measurement: Interdisciplinary Research and Perspectives, 2024
Compared to traditional confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM) has been shown to result in less structural parameter bias when cross-loadings (CLs) are present. However, when model fit is reasonable for CFA (over ESEM), CFA should be preferred on the basis of parsimony. Using simulations, the current…
Descriptors: Structural Equation Models, Factor Analysis, Factor Structure, Goodness of Fit
Naoto Yamashita – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Matrix decomposition structural equation modeling (MDSEM) is introduced as a novel approach in structural equation modeling, contrasting with traditional structural equation modeling (SEM). MDSEM approximates the data matrix using a model generated by the hypothetical model and addresses limitations faced by conventional SEM procedures by…
Descriptors: Structural Equation Models, Factor Structure, Robustness (Statistics), Matrices
Dombrowski, Stefan C.; McGill, Ryan J.; Watkins, Marley W.; Canivez, Gary L.; Pritchard, Alison E.; Jacobson, Lisa A. – Contemporary School Psychology, 2022
The Wechsler Intelligence Scale for Children's (WISC) factorial\theoretical structure has undergone numerous substantive changes since it was first developed, and each of these changes has subsequently been questioned by assessment experts. Given remaining questions about the structure of the latest revision, the WISC-V, the present study used…
Descriptors: Children, Intelligence Tests, Factor Structure, Factor Analysis
Gilbert, Kacey; Benson, Nicholas F.; Kranzler, John H. – Contemporary School Psychology, 2023
Despite the fact that the digital administration format of Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) was published in 2016, no research to date has examined its factor structure using all 10 of the primary subtests to measure intellectual ability. The purpose of this study, therefore, was to use exploratory and confirmatory…
Descriptors: Computer Assisted Testing, Children, Intelligence Tests, Factor Structure
Eugenia L. Weiss; Stewart I. Donaldson; Adrian Reece – Journal of American College Health, 2025
Objective: The study sought to test whether well-being predicts academic performance for student service members/veterans (SSM/Vs) and to assess the factor structure of the PERMA + 4 measurement scale for use in this student population. Participants: Post-9/11 SSM/Vs (N = 199) from seven colleges and universities in the U.S. completed an online…
Descriptors: Well Being, Predictor Variables, Academic Achievement, Veterans
Sara Dhaene; Yves Rosseel – Structural Equation Modeling: A Multidisciplinary Journal, 2024
In confirmatory factor analysis (CFA), model parameters are usually estimated by iteratively minimizing the Maximum Likelihood (ML) fit function. In optimal circumstances, the ML estimator yields the desirable statistical properties of asymptotic unbiasedness, efficiency, normality, and consistency. In practice, however, real-life data tend to be…
Descriptors: Factor Analysis, Factor Structure, Maximum Likelihood Statistics, Computation
Liu, Xiaoling; Cao, Pei; Lai, Xinzhen; Wen, Jianbing; Yang, Yanyun – Educational and Psychological Measurement, 2023
Percentage of uncontaminated correlations (PUC), explained common variance (ECV), and omega hierarchical ([omega]H) have been used to assess the degree to which a scale is essentially unidimensional and to predict structural coefficient bias when a unidimensional measurement model is fit to multidimensional data. The usefulness of these indices…
Descriptors: Correlation, Measurement Techniques, Prediction, Regression (Statistics)
Lingbo Tong; Wen Qu; Zhiyong Zhang – Grantee Submission, 2025
Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…
Descriptors: Factor Analysis, Monte Carlo Methods, Statistical Analysis, Sample Size
Sergio Dominguez-Lara; Mario A. Trógolo; Rodrigo Moreta-Herrera; Diego Vaca-Quintana; Manuel Fernández-Arata; Ana Paredes-Proaño – Journal of Psychoeducational Assessment, 2025
Academic engagement plays a crucial role in students' learning and performance. One of the most popular measures for assessing this construct is the Utrecht Work Engagement Scale for Students (UWES-S), which is based on a tridimensional conceptualization consisting of dedication, vigor, and absorption. However, prior research on its factor…
Descriptors: Learner Engagement, College Students, Foreign Countries, Factor Analysis
Michael D. Wray; Matthew R. Reynolds – Journal of Psychoeducational Assessment, 2025
The KeyMath-3 Diagnostic Assessment (KM-3) is an individually-administered math assessment used in educational placement and diagnostic decisions. It includes 10 subtests making up Basic Concepts, Operations, and Applications indexes and a "Total Test" composite that measures overall math ability. Here, covariances among subtests from…
Descriptors: Diagnostic Tests, Mathematics Tests, Arithmetic, Factor Analysis
Sena Dogruyol; Bilge Bakir Aygar; Nezaket Bilge Uzun; Asena Yucedaglar – Journal on Educational Psychology, 2024
The Satisfaction with Life Scale (SWLS), a popular and widely used measurement tool in cross-cultural research, evaluates life satisfaction. Even though numerous studies have demonstrated factorial validity across a range of samples and cultures, the topic of factorial invariance across various subgroups is still up for debate. There are…
Descriptors: Measures (Individuals), Life Satisfaction, Factor Structure, Models

Peer reviewed
Direct link
