Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Mathematical Formulas | 3 |
| Multiple Regression Analysis | 3 |
| Statistical Analysis | 3 |
| Correlation | 2 |
| Simulation | 2 |
| Technical Reports | 2 |
| Cognitive Processes | 1 |
| Comparative Analysis | 1 |
| Educational Research | 1 |
| Models | 1 |
| Predictor Variables | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Ethan C. Brown; Mohammed A. A. Abulela – Practical Assessment, Research & Evaluation, 2025
Moderated multiple regression (MMR) has become a fundamental tool for applied researchers, since many effects are expected to vary based on other variables. However, the inherent complexity of MMR creates formidable challenges for adequately performing power analysis on interaction effects to ensure reliable and replicable research results. Prior…
Descriptors: Statistical Analysis, Multiple Regression Analysis, Models, Programming Languages
Peer reviewedClaudy, John G. – Applied Psychological Measurement, 1979
Equations for estimating the value of the multiple correlation coefficient in the population underlying a sample and the value of the population validity coefficient of a sample regression equation were investigated. Results indicated that cross-validation may no longer be necessary for certain purposes. (Author/MH)
Descriptors: Correlation, Mathematical Formulas, Multiple Regression Analysis, Predictor Variables
Peer reviewedCarter, David S. – Educational and Psychological Measurement, 1979
There are a variety of formulas for reducing the positive bias which occurs in estimating R squared in multiple regression or correlation equations. Five different formulas are evaluated in a Monte Carlo study, and recommendations are made. (JKS)
Descriptors: Comparative Analysis, Correlation, Mathematical Formulas, Multiple Regression Analysis


