### EDUCATION 161 Winter 2000

#### David Rogosa

#### I. Design and Analysis of Comparative Studies (Experiments)

**Lectures 1-7. GH chaps 15,17,18,19
**

**Review**: Inferences for population means: one-group, two-group designs GH chaps 11-12

**A. Comparing group outcomes on a single classification: One-way analysis of variance **

1. Data Strucures, models, and inference for group outcomes on a single classification

2. Multiple comparisons in one-way anova

3. Design--Sample size and power

4. Nonparametric alternatives

** B. Factorial Designs**

1. Two-way fixed effects anova and interactions

2. Fixed, random, and mixed models

3. Multiple comparisons

4. Variance component estimation

5. ?Unbalanced designs

6. ?k-way classifications

#### II. Analysis of Association: Correlation and Regression

**Lectures 8-11. GH chaps 7,8,(maybe 21?)
**

**Review:** Correlation and Straight-line regression

1. Inference for Correlation and Straight-line regression

2. Model violations and transformations

3. Multiple regression

4. Polynomial regression

5. ?Regression Models with Categorical Variables and Analysis of covariance

6. ?Regression with Dichotomous Outcome Variables

#### III. Analysis of Categorical and Count Data

**Lectures 12-14. GH chap 13 **

1. Inference for Univariate Categorical Data: Binomial and Multinomial

2. Bivariate Categorical Data: Contingency Tables

3. Counts & Poisson Distribution

4. ?Multi-way Contingency Tables, Introduction to log-linear models