Spring 2021 - PSYC 301 D100
Intermediate Research Methods and Data Analysis (4)
Class Number: 1998
Delivery Method: In Person
Overview
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Course Times + Location:
Jan 11 – Apr 16, 2021: TBA, TBA
Burnaby -
Exam Times + Location:
Apr 23, 2021
Fri, 12:00–12:00 p.m.
Burnaby
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Instructor:
Matthew Sigal
msigal@sfu.ca
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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:
The course will be a combination: asynchronous lectures; synchronous tutorials
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
• Summarize (graphically and numerically) and observe patterns in data
• Conduct a range of statistical techniques commonly used in psychological research and be able to
properly interpret the results
• Write reports summarizing statistical analyses conducted
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.
PREREQUISITES: PSYC 201 and 210 and a minimum CGPA of 2.67.
Materials
RECOMMENDED READING:
Recommended text: Wickham, H, & Grolemund, G. (2018). R for Data Science. O'Reilly Media.
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
TEACHING AT SFU IN SPRING 2021
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).