PSYB04H3 Lecture Notes - Lecture 9: Thirteenth Grade, Regression Testing, Developmental Psychology
Document Summary
Reviewing the three causal criteria: longitudinal designs, multiple-regression designs, and the pattern and parsimony approach are. In addition, this type of design is adapted to test causal claims. Interpreting results from longitudinal designs: since there are more than two variables involved, a multivariate design gives several individual correlations, referred to as cross-sectional correlations, autocorrelations, and cross-lag correlations. Cross-sectional correlations: cross-sectional correlations: test to see whether two variables, measured at the same point in time, are correlated. Example: in third grade, preference for tv violence is correlated with aggression; in thirteenth grade, these two variables do not appear to be correlated. In these cross-sectional correlations, there is no way to know which of the variables came first in time. Autocorrelations: autocorrelations: determine the correlation of one variable with itself, measured on two different occasions. Example: although tv violence preferences are not stable over time; aggression levels appear to be somewhat stable. The third-grade measurements came before the thirteenth-grade measurements.
