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) | 1 |
Descriptor
| Evaluation Methods | 2 |
| Multiple Regression Analysis | 2 |
| Comparative Analysis | 1 |
| Correlation | 1 |
| Interaction | 1 |
| Least Squares Statistics | 1 |
| Models | 1 |
| Prediction | 1 |
| Psychometrics | 1 |
| Regression (Statistics) | 1 |
| Simulation | 1 |
| More ▼ | |
Source
| Psychometrika | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Waller, Niels G.; Jones, Jeff A. – Psychometrika, 2010
A general theory on the use of correlation weights in linear prediction has yet to be proposed. In this paper we take initial steps in developing such a theory by describing the conditions under which correlation weights perform well in population regression models. Using OLS weights as a comparison, we define cases in which the two weighting…
Descriptors: Least Squares Statistics, Correlation, Comparative Analysis, Prediction
Dusseldorp, Elise; Meulman, Jacqueline J. – Psychometrika, 2004
The regression trunk approach (RTA) is an integration of regression trees and multiple linear regression analysis. In this paper RTA is used to discover treatment covariate interactions, in the regression of one continuous variable on a treatment variable with "multiple" covariates. The performance of RTA is compared to the classical…
Descriptors: Simulation, Psychometrics, Multiple Regression Analysis, Models

Peer reviewed
Direct link
