Spring 2021 - PSYC 210 D900

Introduction to Data Analysis in Psychology (4)

Class Number: 2014

Delivery Method: Remote


  • Course Times + Location:

    Mo 10:30 AM – 12:20 PM

  • Exam Times + Location:

    Apr 27, 2021
    8:30 AM – 11:30 AM

  • Prerequisites:

    PSYC 201W and BC high school Math 12 with a minimum grade of C (2.0) or BC high school Math 11 with a minimum grade of B- (2.67) or any level MATH or STAT course with a C- (1.67) or FAN X99 taken at SFU with a minimum grade of C (2.00).



Covers basic descriptive and inferential techniques most appropriately applied to the various forms of data from psychological research. Quantitative.


There will be 30-60 minutes of synchronous lecture time held weekly in the scheduled meeting time. All lectures will be recorded.

Covers basic descriptive and inferential techniques most appropriately applied to the various forms of data from psychological research. Should be completed by majors and honours before the end of term 4. 

This course focuses on the quantitative exploration and assessment of data such as those gathered in psychological research studies. Students learn how to perform statistical calculations but the emphasis is on understanding underlying concepts and approaching analysis using appropriate techniques. Descriptive statistics, such as frequency distributions, means, medians, and variability can help one to understand and summarize the data collected. Inferential statistics, including hypothesis testing using the z test, Student’s t test, and ANOVA provide insight into whether experimental manipulations significantly affected the variables measured. 


By the end of the course, students will have the ability to develop a basic understanding of the results of published research studies, and will be able to conduct their own descriptive and inferential analyses of simple datasets.


  • Tests (3) will be held online during scheduled meeting times 45%
  • Tutorial Assignments: 10%
  • Term Paper/Project: 20%
  • Final Exam: 20%
  • Participation: 5%



Pagano, R. R. (2013). Understanding Statistics in the Behavioral Sciences (10th Edition). Cengage Learning/Wadsworth Publishing

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 spring 2021 will be conducted primarily through remote methods. There will be in-person course components in a few exceptional cases where this is fundamental to the educational goals of the course. Such course components will be clearly identified at registration, as will course components that will be “live” (synchronous) vs. at your own pace (asynchronous). Enrollment acknowledges 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. To ensure you can access all course materials, we recommend you have access to a computer with a microphone and camera, and the internet. In some cases your instructor may use Zoom or other means requiring a camera and microphone to invigilate exams. If proctoring software will be used, this will be confirmed in the first week of class.

Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112).