Spring 2025 - PSYC 301 D100

Intermediate Research Methods and Data Analysis (4)

Class Number: 5168

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 6 – Apr 9, 2025: Tue, 8:30–10:20 a.m.
    Burnaby

  • Exam Times + Location:

    Apr 26, 2025
    Sat, 12:00–3:00 p.m.
    Burnaby

  • Instructor:

    Richard Hohn
    rhohn@sfu.ca
    Office: TBD
    Office Hours: TBD
  • Prerequisites:

    PSYC 201 and 210 and a minimum CGPA of 2.67.

Description

CALENDAR DESCRIPTION:

A continuation of PSYC 201 and 210. Provides extensions of the basic theory and methods of research design and data analysis. Includes discussions of the analysis of substantive problems, the choice of appropriate research designs, and special problems that arise in the analysis of psychological data. Quantitative.

COURSE-LEVEL EDUCATIONAL GOALS:

Upon successful completion of this course, it is my aim that students are able to:

• Employ basic descriptive statistics, graphs, and tables to summarize sample data

• Explain the role of sampling distributions and z-scores in the logic of inferential statistics

• Apply the logic of null hypothesis significance testing

• Choose appropriate statistical analyses for the testing of psychological hypotheses

• Interpret the meaning of a p-value with respect to reject or non-rejection of a null hypothesis

• Conduct and interpret hypothesis tests on behavioral data using z-tests and t-tests

• Understand the core concepts of analysis of variance

• Understand the core concepts of simple ordinary least squares regression

• Understand the core concepts of effect size and confidence interval estimation

• Understand the core concepts of assessing and planning the statistical power of tests

• Understand more complex analyses of variance, including within-subjects and factorial designs

Grading

  • Assignment 1: 20%
  • Assignment 2: 20%
  • Mid-Term Exam: 30%
  • Final Exam: 30%

NOTES:

Tutorials start on the first week of classes.

Materials

MATERIALS + SUPPLIES:

There is no required textbook for this course. Weekly course readings will be drawn from a set of course notes and handouts available on Canvas. The notes are authored by Dr. Tafreshi and the handouts are authored by Dr. Kathleen L. Slaney (both used with permission). Other handouts provided by the Instructor

Students who wish to obtain a formally published textbook for additional support are directed to the citation below, however, owning this book in not a requirement of the course: Howell, D. C. (2013). Fundamental Statistics for the Behavioral Sciences. (8 th ed.). Cengage

REQUIRED READING NOTES:

Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

SFU’s Academic Integrity website 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

RELIGIOUS ACCOMMODATION

Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.