Fall 2019 - PSYC 210 J100

Introduction to Data Analysis in Psychology (4)

Class Number: 10788

Delivery Method: In Person

Overview

  • Course Times + Location:

    Th 5:30 PM – 7:20 PM
    HCC 2945, Vancouver

  • Exam Times + Location:

    Dec 5, 2019
    7:00 PM – 10:00 PM
    HCC 2270, Vancouver

  • 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 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, includinghypothesis 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.

COURSE-LEVEL EDUCATIONAL GOALS:

 

 

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Grading

  • Assignments: 8%
  • Midterms (2 exams worth 20% each): 40%
  • Term Project: 22%
  • Final exam: 30%

Materials

REQUIRED READING:

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

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS