Spring 2024 - IAT 802 G100
Quantitative Research Methods and Design (3)
Class Number: 3691
Delivery Method: In Person
Introduction to the research enterprise from a quantitative perspective. It covers structures of research that are prevalent across fields, introduces research methodologies and tools, teaches methods for interdisciplinary work and fosters a critical discourse around differences among research in different areas.
Course Description & Motivation
Your education, research, and thesis work at SIAT (and beyond) requires you to engage in various forms of doing and communicating research. Moreover, your success at SIAT and beyond will in part be evaluated based on the quality of your own research and communication thereof. The overarching goal of this course is to help you develop the knowledge & skills essential for designing and conducting proper scientific and quantitative research, as well as critically analyzing, discussing, and communicating it.
COURSE-LEVEL EDUCATIONAL GOALS:
Course Objectives, Learning Goals & OutcomesOur goal will be to give SIAT students and others the tools that they need to understand, critically evaluate, and participate in the rhetoric of science. At the conclusion of the course students should be able to evaluate the validity, reliability and relevance of quantitative analyses, to generate a well-formed research question and a chain of inference that argues an answer to that question based upon quantitative tests of statistical significance that they conduct using statistical software.
- Research project pitch: short written proposal + presentation 10%
- Final project presentation 15%
- Final written project report 30%
- NOTE: Regular attendance and active, supportive participation in class and team activities is necessary to pass; else could result in point reduction/no-pass. In particular, failure to contribute sufficiently to in-class activities, individual and team assignments, failure to responsibly do your part of the teamwork, or failure to reliably attend and contribute in team meetings can result in additional point reductions beyond the participation & peer evaluation. NOTE: Any kind of plagiarism or other forms of academic dishonesty will automatically result in zero points for that assignment, and potentially in more serious consequences, including course failure. null%
- OLI learning outcomes 40%
- Participation 5%
Our goal will be to give SIAT students and others the tools that they need to understand, critically evaluate, and participate in the rhetoric of science. At the conclusion of the course students should be able to evaluate the validity, reliability and relevance of quantitative analyses, to generate a well-formed research question and a chain of inference that argues an answer to that question based upon quantitative tests of statistical significance that they conduct using statistical software.
Teaching/learning activities may include
• Interactive lecturing and demonstrations
• Group discussions (in-class and online chat- and discussing forums)
• Short in-class writing activities
• Weekly reading, writing and/or revision/reviewing assignments
• Online and in-class tutorials on experimental design, probability, and statistics
• Peer-reviewing (formal & informal)
• Student presentations (including elevator pitch presentations and final project presentation)
Several items provided in this course and through Canvas or other means have been copied of the Copyright Act as enumerated in SFU Appendix R30.04A - Application of Fair Dealing under Policy R30.04. You may not distribute, e-mail or otherwise communicate these materials to any other person.
There are no formal pre-requisites, although IAT804 will be quite useful. If you have never taken any quantitative research methods courses before, make sure to reserve enough time for reading especially during the first half of the course.
MATERIALS + SUPPLIES:
Software needed: JMP & Microsoft Office (download from http://www.sfu.ca/itservices/technical/software.html)
If possible, bring a laptop and something to write to class every time.
Open Learning Initiative Statistics courses (online learning modules such as https://oli.cmu.edu/courses/statistical-reasoning-copy/ or https://oli.cmu.edu/courses/causal-and-statistical-reasoning-open-free/, potentially with a $25.00 fee)
additional materials provided through Canvas/online
"Discovering Statistics Using R" (2012 or later) by Andy Field, Jeremy Miles, Zoe Field; Sage Publications Ltd
"Experimental Design: From User Studies to Psychophysics" (2011) by Douglas Cunningham, Christian Wallraven; 1st Edition; A. K. Peters/CRC Press
“Applying Contemporary Statistical Techniques” (2002) by Rand R. Wilcox; 1st Edition; Academic Press (advanced methods)
"Methods in Psychological Research" (2019) by Annabel Evans, Bryan RooneySage Publications (open access)
"How to Design & Report Experiments" (2003) by Andy Field, Graham J. Hole; 1st Edition; Sage Publications
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.
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