Basic Facts of Advanced Procedures
November 5, 2008 by
Filed under Basic Facts
There are nine applications of the General Linear Model to continuous and discrete variables. From the most complex to the simplest, the continuous models are causal modeling, multivariate analysis, multiple regression, regression, correlation and frequency distributions. From the most complex to the simplest, the discrete models are factorial ANOVA, 1-Way ANOVA and t-tests.
List and describe nine applications of the General Linear Model to continuous and discrete variables:
Continuous Models compare:
a. causal modeling Multiple measures of a factor
b. multivariate analysis Multiple predictors; multiple criteria
c. multiple regression Multiple predictors; single criterion
d. regression Single predictor; single criterion
e. correlation Two regressions
f. frequency distribution One variable (predictor or criterion)
b. multivariate analysis Multiple predictors; multiple criteria
c. multiple regression Multiple predictors; single criterion
d. regression Single predictor; single criterion
e. correlation Two regressions
f. frequency distribution One variable (predictor or criterion)
Discrete Models Compare:
a. t-test 2 means; 1 independent variable
b. one-way ANOVA 3 or more means; 1 independent variable
c. factorial ANOVA Multiple means on 2+ independent variables
b. one-way ANOVA 3 or more means; 1 independent variable
c. factorial ANOVA Multiple means on 2+ independent variables
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