Spring 2017 - CRIM 861 G100
Research Methods II: Quantitative Methods (3)
Class Number: 8037
Delivery Method: In Person
Overview
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Course Times + Location:
Jan 4 – Apr 7, 2017: Fri, 9:30 a.m.–12:20 p.m.
Burnaby
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Instructor:
Martin Bouchard
1 778 782-8135
Description
CALENDAR DESCRIPTION:
The coverage of a range of statistical techniques, including linear regression, logistic regression, and data reduction techniques such as cluster and factor analysis. The purposes, assumptions, and conduct of such analyses using a statistical software package for social sciences (e.g. SPSS, Stata, R) will be covered. Attention will be given to the decisions involved in data exploration and preparation for statistical modeling purposes. Students enrolling in this course are expected to have a solid background in undergraduate quantitative research methods, equivalent to CRIM 320.
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