01:830:338 Lecture Notes - Lecture 3: Adult Development, Developmental Psychology, Dependent And Independent Variables
28 May 2016
School
Department
Course
Professor
Document Summary
Include different groups of subjects at different ages. Do not provide direct information regarding age-related changes. Cannot draw conclusions about individual consistency and change over time. Changes seen can be inferred to be real changes. Enable researcher to look at change or stability within individual. Family of research designs involving either multiple cross-sectional comparisons or multiple longitudinal comparisons, or both. Can analyze age changes and their variations. Separate the impact of unique cohort experiences from that of more enduring developmental patterns. Correlation indicates extent to which two sets of scores covary. Correlations (r) can range from +1. 00 to 1. 00. Positive correlation shows high scores on the two dimensions occur together: negative correlations indicate high scores on one dimension go with low scores on the other. Tests if independent variable caused change in dependent variable. Conducted as if true experiments, but no random assignment of groups. Can provide valuable information, but cannot prove factor of interest causes change in dependent variable.
