We provided an overview of evaluation and analysis in user experience design. He explained that evaluation involves scientifically testing hypotheses about whether designs meet user needs. There are different types of variables involved like stimuli, responses, and participant demographics. Both quantitative and qualitative methods are used, like hypothesis testing and grounded theory. Descriptive statistics describe sample data, while inferential statistics make inferences about populations. Due to typical sample sizes in UX, non-parametric statistical tests are generally more appropriate than probabilistic ones. Simon emphasized understanding these concepts at a high level without worrying too much about statistical details.
Text Transcript: https://web.cs.manchester.ac.uk/zzalszsh/podcast/15-Chapter-16.txt
PDF Transcript: https://web.cs.manchester.ac.uk/zzalszsh/podcast/15-Chapter-16.pdf
Subtitles : https://web.cs.manchester.ac.uk/zzalszsh/podcast/15-Chapter-16.srt
