Descriptor
Source
Multiple Linear Regression… | 4 |
Publication Type
Journal Articles | 4 |
Reports - Research | 4 |
Information Analyses | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating

Williams, John D.; Wali, Mohan K. – Multiple Linear Regression Viewpoints, 1979
An experimental sampling procedure for communities on which coal had been surface-mined yielded missing cells and caused the number of degrees of freedom to be N instead of the usual N minus one. The apparent discrepancy is explained, and a solution to the problem is presented. (Author/JKS)
Descriptors: Analysis of Variance, Research Design, Research Problems, Sampling

Wolfle, Lee M. – Multiple Linear Regression Viewpoints, 1979
With even the simplest bivariate regression, least-squares solutions are inappropriate unless one assumes a priori that reciprocal effects are absent, or at least implausible. While this discussion is limited to bivariate regression, the issues apply equally to multivariate regression, including stepwise regression. (Author/CTM)
Descriptors: Analysis of Variance, Correlation, Data Analysis, Least Squares Statistics

And Others; Roll, Steve – Multiple Linear Regression Viewpoints, 1979
A Type VI error results from inconsistency between the researchers' question of interest and the statistical procedures employed to analyze the data. An example of a research problem is analyzed to show the increase in statistical power resulting from improved research design, using multiple regression instead of analysis of variance. (CTM)
Descriptors: Analysis of Variance, Error Patterns, Higher Education, Hypothesis Testing

Wolfe, Lee M. – Multiple Linear Regression Viewpoints, 1979
The inclusion of unmeasured variables in path analyses in educational research is discussed. The statistical basis for inclusion is presented, along with several examples. (JKS)
Descriptors: Critical Path Method, Educational Research, Error of Measurement, Multiple Regression Analysis