ORG 6610: Statistics II (2025-2026)

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Multiple regression utilizing ordinary least squares with coverage of continuous and categorical variables, interaction effects, non-linear effects, dichotomous outcomes, multilevel modeling, and conditional process analysis. Additionally, basic path analysis using a structural equation modeling framework is covered. Each statistical approach taught includes considerations of the typical workflow, underlying formulae, statistical assumptions, power analysis, and reporting the results to scientific and non-scientific audiences. Utilizes R, R Studio, and R packages for statistical analysis. Typically offered: Winter.

Term CRN Credits Instructor(s) Days Time Dates Location Open
Winter 21461 4 Jessica Fossum
W
5:30PM-8:30 PM
01/05-03/09
McKenna Hall 113
20 of 40 seats open
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Restrictions: Graduate only.
Crosslisted with: CPY 7032 CRN: 21448, ORG 7032 CRN: 21462, RPS 6520 CRN: 21463
Grade Modes: (Default) Normal with G, Audit
Instructional Methods: Traditional
Note: Full Term

Prerequisites:
ORG 6600: C- or better