Simon Fraser University
Engaging the World

Course Outlines

Spring 2018 - EDUC 975 G001

Advanced Quantitative Methods in Educational Research (4)

Class Number: 10233

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 3 – Apr 10, 2018: Mon, 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:

Topics include: multiple regression, canonical correlation, logistic regression, cluster analysis, multivariate analysis of variance and covariance, discriminant function analysis, principal components and factor analysis

COURSE-LEVEL EDUCATIONAL GOALS:

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.
·  lay foundations to expand skills for gathering, analyzing and interpreting data.
·  understand frailties of statistical methods, and means for detecting and repairing them.
·  explore connections between statistical analyses and substantive issues in research in the field of education.

Grading

  • Weekly projects 10 x 10%%

Materials

MATERIALS + SUPPLIES:

Students will need the IBM SPSS Statistics Grad Pack. This is available from a variety of vendors listed at https://www.ibm.com/us-en/marketplace/spss-statistics-gradpack/details#product-header-top.

Be sure to get the version matching your operating system: Mac or Windows.

REQUIRED READING:

Meyers, L. S., Gamst, G., & Guarino, A. J. (2017). Applied multivariate research: Design and interpretation (3rd ed.) Thousand Oaks, CA: Sage.
ISBN: 9781506329765

RECOMMENDED READING:

At https://study.sagepub.com/meyers3e are links to data files and chapter resources.

Grimm, L. G., & Yarnold, P. R. (Eds.) (1995). Reading and understanding multivariate statistics. American Psychological Association.  QA 278 R43 1995

Grimm, L. G., & Yarnold, P. R. (Eds.) (2000). Reading and understanding more multivariate statistics. American Psychological Association.  QA 278 R32 2000

Tabachnick, B. G., & Fidell, L. S. (2016). Using multivariate statistics (6th ed.). Pearson Education.  5th edition: QA 278 T3 2013

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:

SFU’s Academic Integrity web site http://students.sfu.ca/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