Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| Comparative Analysis | 3 |
| Structural Equation Models | 3 |
| Work Attitudes | 3 |
| Foreign Countries | 2 |
| Statistical Analysis | 2 |
| College Faculty | 1 |
| English (Second Language) | 1 |
| Error of Measurement | 1 |
| Factor Analysis | 1 |
| Goodness of Fit | 1 |
| Item Analysis | 1 |
| More ▼ | |
Author
| Bai, Li | 1 |
| Damrongpanit, Suntonrapot | 1 |
| Hudson, Peter | 1 |
| Jaikaew, Pimpilai | 1 |
| Lee, Sik-Yum | 1 |
| Millwater, Jan | 1 |
| Song, Xin-Yuan | 1 |
| Tones, Megan | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Reports - Evaluative | 1 |
Education Level
| Higher Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textJaikaew, Pimpilai; Damrongpanit, Suntonrapot – Universal Journal of Educational Research, 2018
The research was designed to examine the effects of question setting using different conditions into 10 sets on the validity of structural equation modeling for factors affecting job morale. The data was collected from 690 personnel working in regional Statistical Offices around Thailand by using cluster random sampling. The tool used in…
Descriptors: Structural Equation Models, Questionnaires, Reliability, Multivariate Analysis
Direct linkBai, Li; Hudson, Peter; Millwater, Jan; Tones, Megan – International Journal of Research & Method in Education, 2013
A 30-item survey was devised to determine Chinese TEFL (Teaching English as a Foreign Language) academics' potential for conducting research. A five-part Likert scale was used to gather data from 182 academics on four factors: (1) perceptions on teaching-research nexus, (2) personal perspectives for conducting research, (3) predispositions for…
Descriptors: Productivity, Factor Analysis, Statistical Analysis, English (Second Language)
Song, Xin-Yuan; Lee, Sik-Yum – Structural Equation Modeling: A Multidisciplinary Journal, 2006
Structural equation models are widely appreciated in social-psychological research and other behavioral research to model relations between latent constructs and manifest variables and to control for measurement error. Most applications of SEMs are based on fully observed continuous normal data and models with a linear structural equation.…
Descriptors: Structural Equation Models, Maximum Likelihood Statistics, Item Response Theory, Error of Measurement
