NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Multiple Regression and Validity Estimation in One Sample.
Peer reviewed Peer reviewed
Claudy, 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
Estimators of the Squared Cross-Validity Coefficient: A Monte Carlo Investigation.
Peer reviewed Peer reviewed
And Others; Drasgow, Fritz – Applied Psychological Measurement, 1979
A Monte Carlo experiment was used to evaluate four procedures for estimating the population squared cross-validity of a sample least squares regression equation. One estimator was particularly recommended. (Author/BH)
Descriptors: Correlation, Least Squares Statistics, Mathematical Formulas, Multiple Regression Analysis
Comparison of Three Growth Modeling Techniques in the Multilevel Analysis of Longitudinal Academic Achievement Scores: Latent Growth Modeling, Hierarchical Linear Modeling, and Longitudinal Profile Analysis via Multidimensional Scaling
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Direct linkDirect link
Shin, Tacksoo – Asia Pacific Education Review, 2007
This study introduces three growth modeling techniques: latent growth modeling (LGM), hierarchical linear modeling (HLM), and longitudinal profile analysis via multidimensional scaling (LPAMS). It compares the multilevel growth parameter estimates and potential predictor effects obtained using LGM, HLM, and LPAMS. The purpose of this multilevel…
Descriptors: Multidimensional Scaling, Academic Achievement, Structural Equation Models, Causal Models
Estimates of Multiple Correlation Coefficient Shrinkage.
Cummings, Corenna C. – 1982
The accuracy and variability of 4 cross-validation procedures and 18 formulas were compared concerning their ability to estimate the population multiple correlation and the validity of the sample regression equation in the population. The investigation included two types of regression, multiple and stepwise; three sample sizes, N = 30, 60, 120;…
Descriptors: Correlation, Error of Measurement, Mathematical Formulas, Multiple Regression Analysis
The Interaction between Temperament and Environment: Methodological Considerations.
Peer reviewed Peer reviewed
Plomin, Robert; Daniels, Denise – Merrill-Palmer Quarterly, 1984
Discusses the concept of temperament interactions in the context of statistical interaction. Categorizes temperament interactions that involve temperament as an independent variable, as a dependent variable, or as both. Describes use of hierarchical multiple regression for the analysis of temperament interactions. (Author/CI)
Descriptors: Classification, Environmental Influences, Family Environment, Hypothesis Testing
Coding for Direct Interpretation in Multiple Regression Analysis.
PDF pending restoration PDF pending restoration
Serlin, Ronald C.; Levin, Joel R. – 1980
A general procedure is presented for generating code values for a qualitative variable in multiple linear regression analyses that result in directly interpretable estimates of interest. The basic approach, in viewing ANOVA as a multiple regression problem, is to derive quantitative code values for the various levels of the qualitative ANOVA…
Descriptors: Analysis of Covariance, Analysis of Variance, Aptitude Treatment Interaction, Mathematical Formulas