Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Bayesian Statistics | 3 |
| Item Response Theory | 3 |
| Statistical Studies | 3 |
| Data Analysis | 2 |
| Ability | 1 |
| Behavioral Science Research | 1 |
| Comparative Analysis | 1 |
| Correlation | 1 |
| Equal Education | 1 |
| Error Correction | 1 |
| Estimation (Mathematics) | 1 |
| More ▼ | |
Author
| Choi, Jaehwa | 1 |
| Hsieh, Chueh-An | 1 |
| King, F. J. | 1 |
| Maier, Kimberly S. | 1 |
| Mueller, Ralph O. | 1 |
| Peters, Michelle | 1 |
| Tate, Richard L. | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Evaluative | 2 |
| Reports - Research | 1 |
Education Level
| Adult Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Choi, Jaehwa; Peters, Michelle; Mueller, Ralph O. – Asia Pacific Education Review, 2010
Correlational analyses are one of the most popular quantitative methods, yet also one of the mostly frequently misused methods in social and behavioral research, especially when analyzing ordinal data from Likert or other rating scales. Although several correlational analysis options have been developed for ordinal data, there seems to be a lack…
Descriptors: Rating Scales, Item Response Theory, Correlation, Behavioral Science Research
Hsieh, Chueh-An; Maier, Kimberly S. – International Journal of Research & Method in Education, 2009
The capacity of Bayesian methods in estimating complex statistical models is undeniable. Bayesian data analysis is seen as having a range of advantages, such as an intuitive probabilistic interpretation of the parameters of interest, the efficient incorporation of prior information to empirical data analysis, model averaging and model selection.…
Descriptors: Equal Education, Bayesian Statistics, Data Analysis, Comparative Analysis
Peer reviewedTate, Richard L.; King, F. J. – Journal of Educational Measurement, 1994
The precision of the group-based item-response theory (IRT) model applied to school ability estimation is described, assuming use of Bayesian estimation with precision represented by the standard deviation of the posterior distribution. Similarities with and differences between the school-based model and the individual-level IRT are explored. (SLD)
Descriptors: Ability, Bayesian Statistics, Estimation (Mathematics), Item Response Theory

Direct link
