Course 9: Practical Statistics for User Research Part I -
CourseContribution & Benefit: Learn to generate confidence intervals and compare two designs using rating scale data, binary measures and task times for large and small sample sizes.
Abstract » If you don't measure it you can't manage it. User-research is about more than rules of thumb, good design and intuition: it's about making better decisions with data. Is Product A preferred more than Product B? Will more users complete tasks on the new design? Learn how to conduct and interpret appropriate statistical tests on small and large sample data then communicate your results in easy to understand terms to stakeholders.
Features
-- Get a visual introduction or refresher to the most important statistical concepts for applied use.
-- Know which statistical test to use and when
-- Be able to compare two interfaces or versions (A/B Testing) by showing statistical significance (e.g. Product A takes 20% less time to complete a task than Product B p <.05).
-- Clearly understand both the limits and data available from small sample usability data through use of confidence intervals.
Audience
Open to anyone who's interested in quantitative user research. Participants should be familiar with the process of conducting usability tests or research as well as basic descriptive statistics such as the mean, median and standard deviation and have access to Microsoft Excel. Participants will receive an Excel calculator which will perform the statistical calculations.
The presentation will be a mix of enthusiastic instruction, with movie-clips, pictures, demonstrations and interactive exercises all aimed at helping make the abstract topic of statistics concrete, memorable and actionable.