Spring 2022 - PSYC 210 D100
Introduction to Data Analysis in Psychology (4)
Class Number: 1564
Delivery Method: In Person
Course Times + Location:
Mo 10:30 AM – 12:20 PM
EDB 7618, Burnaby
Exam Times + Location:
Apr 22, 2022
9:00 PM – 9:00 PM
TAKE HOME-EXAM, Burnaby
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.
This course provides an introduction to fundamental descriptive and inferential statistics commonly used in contemporary psychological research. Statistical methods play a crucial role in the translation of empirical data into reasonable descriptions and conclusions.
COURSE-LEVEL EDUCATIONAL GOALS:
The main goals of the course are to introduce students to the role of statistics in the description and analysis of data from commonly used research designs and to the underlying logic inherent to inferential statistical analysis.
- Mid-Term Exam: 30%
- Writing Assignments: 30%
- Final Exam: 30%
- Quizzes: 10%
Specific topics that will be covered include displaying data, measures of central tendency and variability, probability, standard scores, sampling distributions, the logic of hypothesis testing, hypothesis tests on means, and basic methods for correlation and regression.
Hand calculators are required. Knowledge of basic mathematical functions and basic algebra are assumed. No special software will be used. Although some calculation will be required, the emphasis is placed on providing a solid theoretical understanding of introductory statistical methods.
Privitera, G. J. (2019). Essential statistics for the behavioral sciences (2nd ed.). Sage.
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 2022
Teaching at SFU in spring 2022 will involve primarily in-person instruction, with safety plans in place. Some courses will still be offered through remote methods, and if so, this 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 (firstname.lastname@example.org or 778-782-3112) as early as possible in order to prepare for the spring 2022 term.