Fall 2022 - PSYC 301 D100

Intermediate Research Methods and Data Analysis (4)

Class Number: 3245

Delivery Method: In Person

Overview

  • Course Times + Location:

    Fr 12:30 PM – 2:20 PM
    WMC 3220, Burnaby

  • 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 DETAILS:

Intermediate Research Methods and Analysis is an applied course in which students will learn to conduct and interpret statistical analyses commonly employed in psychological research.

COURSE-LEVEL EDUCATIONAL GOALS:

The principal goal of the course is for students to learn to conduct statistical analyses, interpret the results appropriately, and become familiar with statistical software. These are essential skills for research in psychology. By the end of the course, students should be able to:
- Become comfortable using software for statistical computing (R)
- Handle, screen, and clean datasets

Grading

  • Mid-Term Exam: 35%
  • Writing Assignments: 25%
  • Final Exam: 40%

NOTES:

Topics:

Descriptive statistics; inferential statistics; data visualization; hypothesis testing; statistical computing; R Project for Statistical Computing.

Lectures:

Lectures are planned to be held in person. Recordings may be made available (IT infrastructure depending). Labs are an essential component of the course and will be held in-person.

Materials

RECOMMENDED READING:

Grolemund, G. and Wickham, H. (2018). R for Data Science (1st edition). O'Reilly Media (see syllabus for details; online version is recommended!)
ISBN: 9781491910399

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

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