Subject:
Psychology (PSYCH)
Catalog number:
804
Unit weight:
0.50
Meet type:
SEM
Grading basis:
OPT
Cross-listing(s):
N/A
Requisites:
Prereq: PSYCH 632
Description:
This course is designed to provide graduate students in Psychology with the background and skills to be able to interpret and conduct multi-level data analysis. Hierarchical linear modeling (HLM) software will be used for instruction and assignments. Conceptual issues with multi-level data and theory will also be addressed. Applications may involve data concerning work groups in organizations, romantic couples, individual change over time (as in learning growth curves), and event-level associations of mood states with other variables (as in "diary" studies). Extensions to 3-level models and to "non-linear" models (e.g., for count and rate data) will also be discussed.
Topic titles:
N/A
Faculty:
Arts (ART)
Academic level:
GRD
Course ID:
012329