Spring 2023 - PSYC 210 D900

Introduction to Data Analysis in Psychology (4)

Class Number: 6057

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 4 – Apr 11, 2023: Thu, 2:30–4:20 p.m.
    Surrey

  • Exam Times + Location:

    Apr 20, 2023
    Thu, 3:30–6:30 p.m.
    Surrey

  • Instructor:

    Bertrand Sager
    bsager@sfu.ca
    Office: TBA
    Office Hours: TBA
  • 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).

Description

CALENDAR DESCRIPTION:

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

COURSE DETAILS:

This course is an introduction to statistics for psychology. Students will develop a basic understanding of data analysis and inferential techniques commonly used in the field. While some basic algebra is required, this course emphasizes the logic of inferential testing and encourages thinking critically about the issues presented. Students will learn about descriptive statistics, sampling variability, and basic probability. We will explore the rationale and procedures for the following inferential tests (one and two samples), ANOVA, correlation and regression.

Grading

  • Tutorial Assignments: 10%
  • Mid-Term Exam: 25%
  • Writing Assignments: 40%
  • Final Exam: 25%

NOTES:

This course does not use a textbook.

Materials

REQUIRED READING NOTES:

Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

SFU’s Academic Integrity website 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