Publication Date
| In 2024 | 0 |
| Since 2023 | 0 |
| Since 2020 (last 5 years) | 1 |
| Since 2015 (last 10 years) | 2 |
| Since 2005 (last 20 years) | 2 |
Descriptor
| Bayesian Statistics | 2 |
| Factor Analysis | 2 |
| Item Analysis | 2 |
| Structural Equation Models | 2 |
| Classification | 1 |
| Comparative Analysis | 1 |
| Effect Size | 1 |
| Error of Measurement | 1 |
| Evaluation Methods | 1 |
| Factor Structure | 1 |
| Foreign Countries | 1 |
| More ▼ | |
Source
| Educational and Psychological… | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
Audience
Location
| Saudi Arabia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkSideridis, Georgios D.; Tsaousis, Ioannis; Alamri, Abeer A. – Educational and Psychological Measurement, 2020
The main thesis of the present study is to use the Bayesian structural equation modeling (BSEM) methodology of establishing approximate measurement invariance (A-MI) using data from a national examination in Saudi Arabia as an alternative to not meeting strong invariance criteria. Instead, we illustrate how to account for the absence of…
Descriptors: Bayesian Statistics, Structural Equation Models, Foreign Countries, Error of Measurement
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
