Fall 2019 - PSYC 210 D100

Introduction to Data Analysis in Psychology (4)

Class Number: 9877

Delivery Method: In Person

Overview

  • Course Times + Location:

    Tu 10:30 AM – 12:20 PM
    EDB 7618, Burnaby

  • Exam Times + Location:

    Dec 16, 2019
    12:00 PM – 3:00 PM
    Location: 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 is an introductory course focusing on descriptive statistics (numerical and graphical summaries of research data) and inferential statistics (the drawing of reasonable conclusions from such data). The principal goal of the course is to introduce students to the fundamentals of statistical reasoning and to the role of statistical methods in psychological research. Students are expected to become familiar with the use of a range of statistical techniques commonly used in psychological research. You should be able to select an appropriate statistical test, given a particular dataset, accurately compute the relevant statistical tests, and clearly and correctly interpret the results. While some calculation will be required, emphasis will be placed on theoretical understanding and graphical methods.

COURSE-LEVEL EDUCATIONAL GOALS:

Topics:
Descriptive statistics; inferential statistics; data visualization; hypothesis testing.

Grading

  • Mid-Term Exam: 35%
  • Writing Assignments: 25%
  • Final Exam: 40%

Materials

REQUIRED READING:

Privitera, G. (2018). Essential Statistics for the Behavioral Sciences (2nd ed.). Thousand Oaks, CA: SAGE Publications.

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