Spring 2019 - PSYC 411 D100

Research Design II (4)

Class Number: 4114

Delivery Method: In Person

Overview

  • Course Times + Location:

    We 2:30 PM – 5:20 PM
    RCB 6152, Burnaby

  • Prerequisites:

    PSYC 201, 210, 301, 60 units, and a CGPA of 3.0. Recommended: PSYC 410.

Description

CALENDAR DESCRIPTION:

Focuses on multivariate regression and correlation models. Deals with ways of answering questions when direct experimental manipulation is not feasible, and demonstrates the utility of the principles involved for solving problems other than those for which they were first proposed.. Quantitative.

COURSE DETAILS:

Psyc 411/911
A survey of the concepts and mathematics essential to an understanding of the multivariate analytic techniques employed in psycological research, with special reference to bivariate association.  Overview of fundamental data screening and assumption checking procedures.  Focus on multivariate regression and correlation models.

COURSE-LEVEL EDUCATIONAL GOALS:

-Students will increase their knowledge and skill in the framing and addressing research questions using correlational and regression analysis strategies. -Students will increase their knowledge and skill in study design, data analysis, and communication of research plans and research findings.

Grading

  • * 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

Materials

MATERIALS + SUPPLIES:

Hand calculator Access to SPSS (available on university computers)

REQUIRED READING:

Select chapters will be assigned primarily from two textbooks (on Reserve in the library).

Cohen, J., Cohen, P., West, S.G., Aiken, L.S. (2003). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. (3rd ed.). Mahwah, NJ: Lawrence Erlbaum Associates, Publishers

Myers, J.L, Well, A.D., & Lorch Jr., R.F. (2010). Research Design and Statistical Analysis. New York: Routledge Press.

Supplemental Sources : Supplemental readings will be assigned on an as needed basis. You may obtain the readings from the copier room and make yourself a copy.

Registrar Notes:

SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS