• * This course involves a series of ungraded and graded activities over the course of the term. There will be: 3 Primary Graded assignments.
• Assignment 1: 30%
• Assignment 2: 30%
• Assignment 3: 40%
• * There will be no In class Midterm or Final Exam.

NOTES:

Tentative Structure : Psyc411/911 will be comprised of three parts, with primary emphasis on Parts II and III.

Part I. Review of Fundamentals/background;
-Planning research, Data analysis, Logic of statistical inference
-Fundamentals of importance of assumptions and assumption checking and other diagnostics, Type I error control, power, missing data

Introduction to research scenarios and questions appropriate for multivariate correlation and regression analysis

II. Designs and research questions addressed with Bivariate and Multivariate correlation research questions and analyses
- assumptions and assumption checking/diagnostics
- Type I error control, power
- basic analyses involving a single bivariate correlation
- comparisons between two or more independent correlations (between group comparisons)
- modeling patterns within a correlation matrix;
- comparisons between two or more dependent correlations (within group comparisons)

III. Designs and research questions addressed with ordinary least squares
multiple regression analysis
- assumptions and assumption checking/diagnostics
- Type I error control, power
- single predictor and multiple predictor models (quantitative predictors)
- curvilinear models
- models including interaction terms among quantitative predictors
- models with categorical variables as predictor variable
- models with interaction terms between categorical and continuous

Brief contrast of the following methods to OLS multiple regression analysis will be made, however, coverage of the following will not be deep.
- Logistic Regression Analysis
- Weighted Least Squares Regression Analysis
- Poisson Regression Analysis