Data Analysis II
Fall 2016
syllabus
Lectures
Lecture #1: Basics of Probability Theory and Statistics
Lecture #2: Classical Linear Regression Basics (Two-variable case)
Lecture #3: Statistical Control, Multiple Regression, and Dummy Variables
Lecture #4: Significance Testing
Lecture #5: Nonlinear Relationships in Classical Linear Regression
Lecture Set #6: Regression Diagnostics and Assumption Tests
Lecture Set #7: Causal Thinking and Longitudinal Data in Classical Linear Regression Models
Lecture Set #8: Modeling Limited Dependent Variables
Lecture Set #9: Logistic Regression Model Assessment, Assumptions, and Alternative Forms
Labs
Lab #1
(w/ class data)
Lab #2
Lab #3
(
addendum
)
Lab #4
Lab #5
Lab #6
Lab #7
Lab #8
(data only, see Lecture Set #7 for instructions)
Lab #9
Readings
Wk 2: Darlington
Wk 3: Paper #1 (A+M)
Wk 8: Delucchi
Wk 9: Broach & Dill
Wk 9-10: K + B
Homework
HW1.zip
HW1 additional reading option
HW1 Key
HW2.zip
HW2 Key
HW3 (
all parts
)
HW3 Key
Resources
SPSS tips
Assumption tests (
R
,
SPSS
,
data
)
Probability Plots (
Excel
)
