Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 10 |
Descriptor
Source
Educational and Psychological… | 14 |
Author
Publication Type
Journal Articles | 14 |
Reports - Research | 10 |
Reports - Evaluative | 4 |
Education Level
Higher Education | 3 |
Elementary Education | 1 |
Grade 8 | 1 |
Grade 9 | 1 |
High Schools | 1 |
Postsecondary Education | 1 |
Audience
Location
Canada | 1 |
Germany | 1 |
Greece | 1 |
Japan | 1 |
South Korea | 1 |
Laws, Policies, & Programs
Assessments and Surveys
School Level Environment… | 1 |
Self Description Questionnaire | 1 |
What Works Clearinghouse Rating
Kush, Joseph M.; Konold, Timothy R.; Bradshaw, Catherine P. – Educational and Psychological Measurement, 2022
Multilevel structural equation modeling (MSEM) allows researchers to model latent factor structures at multiple levels simultaneously by decomposing within- and between-group variation. Yet the extent to which the sampling ratio (i.e., proportion of cases sampled from each group) influences the results of MSEM models remains unknown. This article…
Descriptors: Structural Equation Models, Factor Structure, Statistical Bias, Error of Measurement
Liang, Xinya – Educational and Psychological Measurement, 2020
Bayesian structural equation modeling (BSEM) is a flexible tool for the exploration and estimation of sparse factor loading structures; that is, most cross-loading entries are zero and only a few important cross-loadings are nonzero. The current investigation was focused on the BSEM with small-variance normal distribution priors (BSEM-N) for both…
Descriptors: Factor Structure, Bayesian Statistics, Structural Equation Models, Goodness of Fit
Yang, Yanyun; Xia, Yan – Educational and Psychological Measurement, 2019
When item scores are ordered categorical, categorical omega can be computed based on the parameter estimates from a factor analysis model using frequentist estimators such as diagonally weighted least squares. When the sample size is relatively small and thresholds are different across items, using diagonally weighted least squares can yield a…
Descriptors: Scores, Sample Size, Bayesian Statistics, Item Analysis
Hayduk, Leslie – Educational and Psychological Measurement, 2014
Researchers using factor analysis tend to dismiss the significant ill fit of factor models by presuming that if their factor model is close-to-fitting, it is probably close to being properly causally specified. Close fit may indeed result from a model being close to properly causally specified, but close-fitting factor models can also be seriously…
Descriptors: Factor Analysis, Goodness of Fit, Factor Structure, Structural Equation Models
Joseph, Dana L.; Newman, Daniel A. – Educational and Psychological Measurement, 2010
A major stumbling block for emotional intelligence (EI) research has been the lack of adequate evidence for discriminant validity. In a sample of 280 dyads, self- and peer-reports of EI and Big Five personality traits were used to confirm an a priori four-factor model for the Wong and Law Emotional Intelligence Scale (WLEIS) and a five-factor…
Descriptors: Emotional Intelligence, Measurement Techniques, Validity, Personality Traits
Murayama, Kou; Zhou, Mingming; Nesbit, John C. – Educational and Psychological Measurement, 2009
The psychometric properties of scores from the Achievement Goal Questionnaire were examined in samples of Japanese (N = 326) and Canadian (N = 307) postsecondary students. Previous research found evidence of a four-factor structure of achievement goals in U.S. samples. Using confirmatory factor-analytic techniques, the authors found strong…
Descriptors: Foreign Countries, Postsecondary Education, College Students, Factor Analysis
Myers, Nicholas D.; Feltz, Deborah L.; Chase, Melissa A.; Reckase, Mark D.; Hancock, Gregory R. – Educational and Psychological Measurement, 2008
The purpose of this validity study was to improve measurement of coaching efficacy, an important variable in models of coaching effectiveness. A revised version of the coaching efficacy scale (CES) was developed for head coaches of high school teams (CES II-HST). Data were collected from head coaches of 14 relevant high school sports (N = 799).…
Descriptors: Factor Structure, Measures (Individuals), Factor Analysis, Athletic Coaches
Marcoulides, George A.; Emrich, Christin; Marcoulides, Laura D. – Educational and Psychological Measurement, 2008
The Computer Anxiety Scale (CAS) measures the perceptions of individuals with respect to their anxiety toward computers. Although the CAS was developed a number of years ago, research has shown that its factor structure has remained stable. Recent cross-cultural studies using samples of college students from various countries have also shown that…
Descriptors: College Students, Structural Equation Models, Computer Attitudes, Factor Structure
Johnson, Bruce; Stevens, Joseph J.; Zvoch, Keith – Educational and Psychological Measurement, 2007
Scores from a revised version of the School Level Environment Questionnaire (SLEQ) were validated using a sample of teachers from a large school district. An exploratory factor analysis was used with a randomly selected half of the sample. Five school environment factors emerged. A confirmatory factor analysis was run with the remaining half of…
Descriptors: Measures (Individuals), Statistical Analysis, Educational Environment, Structural Equation Models

Hong, Sehee; Malik, Mary L.; Lee, Min-Kyu – Educational and Psychological Measurement, 2003
Used latent means analysis in the framework of structural equation modeling to explore the factor structure and gender differences associated with the Personal Style Inventory (PSI; C. Robins and others, 1994) with 508 Korean undergraduates. Results support the cross-cultural stability of the PSI factor structure. Women had higher scores than men…
Descriptors: Cross Cultural Studies, Factor Structure, Foreign Countries, Higher Education

Koustelios, Athanasios D.; Bagiatis, Konstantinos – Educational and Psychological Measurement, 1997
An instrument to measure employee job satisfaction in Greece was developed and tested with 212 and 516 employees. Exploratory factor analysis indicated a six-factor solution with high internal consistency. Structural equation modeling showed a fairly good fit to the model, with need for slight improvement. (SLD)
Descriptors: Attitude Measures, Employees, Factor Structure, Foreign Countries

Stephens, Gregory K.; Szajna, Bernadette; Broome, Kirk M. – Educational and Psychological Measurement, 1998
Describes the development of the Career Success Expectations Scale and its application to two different significant career transitions. Two samples (161 managers and 103 managers obtaining a graduate degree) were used in exploratory and confirmatory factor analysis, and the three-factor structure from the exploratory analysis was confirmed with…
Descriptors: Achievement, Administrators, Career Change, Careers
Motl, Robert W.; Dishman, Rod K.; Saunders, Ruth P.; Dowda, Marsha; Pate, Russell R. – Educational and Psychological Measurement, 2004
The authors evaluate the validity of the Social Provisions Scale for physical activity among adolescent Black (n = 896) and White (n = 823) girls. The girls completed the scale and measures of subjective norms and physical activity in the eighth and ninth grades. Within the sample of White girls, the Social Provisions Scale contained 24 items that…
Descriptors: Measures (Individuals), Females, Norms, Construct Validity
Marsh, Herbert W.; Tracey, Danielle K.; Craven, Rhonda G. – Educational and Psychological Measurement, 2006
Confirmatory factor analysis of responses by 211 preadolescents (M age = 10.25 years,SD = 1.48) with mild intellectual disabilities (MIDs) to the individually administered Self Description Questionnaire I-Individual Administration (SDQI-IA) counters widely cited claims that these children cannot differentiate multiple self-concept factors. Results…
Descriptors: Multidimensional Scaling, Self Concept, Preadolescents, Mild Mental Retardation