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
| Computation | 2 |
| Computer Software | 2 |
| Models | 2 |
| Calculus | 1 |
| College Faculty | 1 |
| College Mathematics | 1 |
| College Students | 1 |
| Effect Size | 1 |
| Hypothesis Testing | 1 |
| Mathematical Concepts | 1 |
| Maximum Likelihood Statistics | 1 |
| More ▼ | |
Source
| Journal of Educational and… | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkBroatch, Jennifer; Lohr, Sharon – Journal of Educational and Behavioral Statistics, 2012
Measuring teacher effectiveness is challenging since no direct estimate exists; teacher effectiveness can be measured only indirectly through student responses. Traditional value-added assessment (VAA) models generally attempt to estimate the value that an individual teacher adds to students' knowledge as measured by scores on successive…
Descriptors: Teacher Effectiveness, Models, Maximum Likelihood Statistics, Computation
Allen, Jeff; Le, Huy – Journal of Educational and Behavioral Statistics, 2008
Users of logistic regression models often need to describe the overall predictive strength, or effect size, of the model's predictors. Analogs of R[superscript 2] have been developed, but none of these measures are interpretable on the same scale as effects of individual predictors. Furthermore, R[superscript 2] analogs are not invariant to the…
Descriptors: Regression (Statistics), Effect Size, Measurement, Models
