Fall 2021 - PSYC 301 D100

Intermediate Research Methods and Data Analysis (4)

Class Number: 2578

Delivery Method: In Person


  • Course Times + Location:

    Mo 10:30 AM – 12:20 PM
    AQ 4120, Burnaby

  • Exam Times + Location:

    Dec 12, 2021
    3:30 PM – 6:30 PM
    WMC 3210, Burnaby

  • Prerequisites:

    PSYC 201 and 210 and a minimum CGPA of 2.67.



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.


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.


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


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



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


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.



Wickham, H., & Grolemund, G. (2018). R for Data Science. O'Reilly Media (see syllabus for details; online version is recommended!); Zumel, N., & Mount, J. (2019). Practical Data Science with R (2nd Ed.). Manning.

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


Teaching at SFU in fall 2021 will involve primarily in-person instruction, with approximately 70 to 80 per cent of classes in person/on campus, with safety plans in place.  Whether your course will be in-person or through remote methods will be clearly identified in the schedule of classes.  You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).

Enrolling in a course acknowledges that you are able to attend in whatever format is required.  You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes.

Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112) as early as possible in order to prepare for the fall 2021 term.