Fall 2020 - EDUC 975 G001

Advanced Quantitative Methods in Educational Research (4)

Class Number: 2723

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 9 – Dec 8, 2020: Thu, 4:30–8:20 p.m.
    Burnaby

  • Prerequisites:

    EDUC 863 and 864 or permission of instructor.

Description

CALENDAR DESCRIPTION:

Methods for analyzing multivariate data in educational research, meta-analytic methods, and applications and frailties of advanced quantitative analysis. Illustrations from educational research are used throughout. Students with credit for EDUC 865 may not take this course for further credit.

COURSE DETAILS:

Statistical methods for analyzing multivariate data in educational research. Objectives include:

  • develop skills for designing, doing and interpreting statistical analyses of multivariate data.
  • extend understandings about statistical methods used to generate and test models.
  • explore connections between statistical analyses and substantive issues in research in the field of education.
Topics include: multiple regression, canonical correlation, logistic regression, cluster analysis, multivariate analysis of variance and covariance, discriminant function analysis, principal components and factor analysis

Grading

  • Lab assignments: 50%
  • Homework: 25%
  • Final Project: 25%

REQUIREMENTS:

EDUC 863 and 864 or permission of instructor. Students with credit for EDUC 865 may not take this course for further credit.

Materials

MATERIALS + SUPPLIES:

Students will need the IBM SPSS software.

REQUIRED READING:

Meyers, L. S., Gamst, G., & Guarino, A. J. (2013). Applied multivariate research: Design and interpretation (3rd ed.) Thousand Oaks, CA: Sage.


ISBN: 978-1506329765

RECOMMENDED READING:

Links to data files and chapter resources are located at:

https://study.sagepub.com/meyers3e

Graduate Studies Notes:

Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.

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 FALL 2020

Teaching at SFU in fall 2020 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).