A Comparison of Regression Prediction Accuracy on Several Types of Factor Scores
Bibliographic Data
| ID | 8220980 |
|---|---|
| Authors | John D Morris (Georgia Southern College, corresponding author) |
| Year | 1979 |
| Volume | 16 |
| Issue | 1 |
| Pages | 17-24 |
| Publication date | 1979-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Educational Research Journal (JOURNAL) |
| Journal identifiers | ISSN: 0002-8312 • E-ISSN: 1935-1011 |
| Publisher | American Educational Research Association (AERA) (PUBLISHER) |
| DOI | 10.3102/00028312016001017 |
| OpenAlex | W2017772651 |
| Language | EN |
| Citations received | 10 |
| References cited | 17 |
Several advantages to the use of factor scores as independent variables in a multiple regression equation have been advocated in the literature. To provide guidance for selecting the most desirable type of factor score upon which to calculate a regression equation, computer-based Monte Carlo methods were used to compare the predictive accuracy upon replication of regression on five “complete” and four “incomplete” factor score estimation methods. For several levels of multiple correlation (R 2 = .30, .50, and. 70), and for several subject-to-variable sampling ratios (3:1, 5:1, and 10:1), prediction on incomplete factor scores showed better double cross-validated prediction accuracy than on complete factor scores. Moreover, the unique unit-weighted factor score was superior among the incomplete methods
Correlation · Cross-sectional regression · Econometrics · Factor (programming language · Factor regression model · Linear regression · Monte Carlo method · Polynomial regression · Proper linear model · Regression · Regression analysis · Replication (statistics · Statistics · Variables · Advanced Statistical Modeling Techniques · Computer Science · Mathematics · Psychology · Psychometric Methodologies and Testing · Technology and Data Analysis
Selecting a Predictor Weighting Method by Press
The Use and Misuse of Factor Scores in Multiple Regression Analysis
An Evaluation of Formula-Based Population Squared Cross-Validity Estimates and Factor Score Estimates in Prediction
The Predictive Accuracy of Full-Rank Variables Vs. Various Types of Factor Scores
The Appropriateness of Sum Scores as Estimates of Factor Scores in the Multiple Factor Analysis of Ordered-Categorical Responses
An External Validity Approach for Assessing Essential Unidimensionality in Correlated-Factor Models
A Comparison of Regression and Loading Weights for the Computation of Factor Scores
An Empirical Comparison of Factor, Image, Component, and Scale Scores
Motivation and Test Anxiety in Test Performance Across Three Testing Contexts
Behavior problems of clinic children
Multiple regression in behavioral research
Ridge Regression
The Incorrect Measurement of Components
Evidence on Problems in Estimating Common Factor Scores
A Computer Program to Create a Population with Any Desired Centroid and Covariance Matrix
An Empirical Comparison of Methods for Estimating Factor Scores
On Obtaining the Best Estimates of Factor Scores Within An Ideal Simple Structure
"Comment on "Estimating coefficients in linear models
An Empirical Comparison of Factor Scoring Methods
Factor Scores Aren't Sacred
Weighting predictors in linear models
Abuses of Factor Scores
Weighting predictors in linear models
Estimating coefficients in linear models
| Unique citing works | 10 |
|---|---|
| Citations per year | 0,22 |
| Citation span | 1980 - 2021 (42) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 10 |