Spring 2024 - CRIM 861 G100

Research Methods II: Quantitative Methods (3)

Class Number: 4077

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 8 – Apr 12, 2024: Thu, 2:30–5:20 p.m.
    Burnaby

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.

COURSE DETAILS:

Each week focuses on a particular statistical technique or set of related techniques. This will include describing a technique’s purpose, assumptions, and type of information provided. Lectures will also cover how to conduct the analysis in SPSS and interpret the results. An optional one-hour lab will be held at the end of lecture. This lab is meant to give students an opportunity to contact the TA for guidance in troubleshooting analyses conducted for course assignments/term paper.

 

Grading

  • Assignments (4) 40%
  • Big Quiz 20%
  • Oral Presentation 10%
  • Term Paper 30%

Materials

REQUIRED READING:

Applied Statistics II: Multivariable and Multivariate Techniques
THIRD EDITION
Rebecca M. Warner - University of New Hampshire, USA

Paperback ISBN: 9781544398723
eBook ISBN: 9781506352862


REQUIRED READING NOTES:

Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.

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 website 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