PSYB04H3 Chapter Notes - Chapter 9: Regression Testing, Longitudinal Study, Dependent And Independent Variables
Document Summary
Expresses the strength and direction of the relationship between two variables. Is an extension of correlation, and allows you to make predictions about one variable from other variable(s) Bivariate regression (1 predictor, 1 criterion) produces the same result as correlation. Multivariate designs: measures two or more variables (longitudinal studies, multiple-regression designs, and the pattern and parsimony. Three criteria for causal study: covariance, temporal precedence, internal validity. Longitudinal design: a study in which the same variables are measured in the same people at different points in time. Cross-sectional correlations: they test to see whether two variables, measured at the same point in time, are correlated. Autocorrelations: the measurement of one variable in different points in time to look for correlation. Cross-lag correlations: whether the earlier measure of one variable is associated with the measure of the other variable: we can establish temporal precedence by seeing how people changed over time.
