Course Description
Second of two courses in applied statistics emphasizing applications in social work research. Topics include multiple regression, logistic regression, longitudinal analysis, multilevel models, factor analysis, and structural equation modeling.
Athena Title
SOCIAL WRK STATS II
Prerequisite
SOWK 8176
Semester Course Offered
Offered spring
Grading System
A - F (Traditional)
Course Objectives
1. Utilize multivariable statistics to summarize data; 2. Understand and communicate the principles of statistical inference, including parameter estimation, confidence intervals, and hypothesis testing; 3. Understand, communicate, and apply the appropriate use of multivariable statistical tests; 4. Communicate the results of statistical analyses; 5. Draw substantive conclusions from the results of hypotheses tests; 6. Utilize statistical software.
Topical Outline
1. Testing of assumptions and remedial options 2. Mediation, moderation, and conditional process models 3. Binary logistic regression 4. Multinomial logistic regression 5. Ordinal logistic regression 6. Power analysis 7. Analysis of correlated data 8. Longitudinal analysis 9. Survival analysis 10. Multilevel models 11. Factor analysis 12. Introduction to structural equation modeling
Syllabus
Public CV