In this 5-week course, you will learn how to conduct and present your quantitative research. You will be introduced to strengths and limitations of various research designs and common pitfalls that can affect your study and results. We will cover essential statistical theories and tools for analyzing quantitative research data from surveys and AB Testing. Techniques from both descriptive and inferential statistics will allow you to conduct, analyze and present your research using best practices in the field.
We begin with descriptive statistics as a critical tool to visualize and understand your data. You will learn how to visualize data using statistics such as mean, median, mode, and variability, depending on the type of data you have.
Next, we cover how inferential statistics can provide evidence to support your research question. For example, is there a statistically significant difference between my conditions and/or groups? How strong is this effect? Methods covered will include t-test, ANOVA, MaxDiff and Conjoint Analysis.
Datasets provided will be used to practice the statistical tools you learn during this course so that you will ultimately be able to analyze and present your own quantitative data.
We also provide statistical consulting on an individual basis.
Dates and Times (five 2-hour classes, 4-6p PT | 7-9p ET)
Understand and explain to others what quantitative user experience research is and what it can contribute to a design effort
Select the proper statistical technique for quantitative analysis
Understand what “statistically significant” means and how to calculate it
Visualize data using basic statistics
Present statistics for quantitative UX research data
Course Prerequisites: none
Other Materials:
Students will use free online software to conduct analyses.
All other reading materials will be free to download .pdf texts.
Intended Audience: This short course is intended for anybody interested in quantitative UX research. Students do not need pre-existing quant experience for this course.
This short course is led by:
Dr. Stollstorff began teaching Research Methods and Statistics at Georgetown University and is currently teaching at the University of Toronto. Her background is in the field of behavioral and brain sciences.
