Fall 2018 - CRIM 863 G100

Research Methods IV: Advanced Quantitative Methods (3)

Class Number: 8053

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 4 – Dec 3, 2018: Wed, 9:30 a.m.–12:20 p.m.
    Burnaby

  • Instructor:

    Martin Andresen
    1 778 782-7628
  • Prerequisites:

    CRIM 861, or permission of the instructor.

Description

CALENDAR DESCRIPTION:

A survey of advanced statistical techniques in criminological research. Specific topics may include: limited (e.g., categorical, ordinal, and count) dependent variables, multi-level modeling, longitudinal data techniques, spatial data analysis, missing values analysis, and propensity score matching. Attention will be given to the decisions involved in data exploration and preparation for statistical modeling purposes using the appropriate statistical software. There is an emphasis on conceptual foundations and application. A strong background in regression-based techniques is assumed.

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