To conduct empirical research successfully, the underlying data must be collected in a scientific fashion. Since many researchers today collect their own data, the methods used are detrimental to the type, quality, and reliability of the obtained data.

Scientific Data-Collection is a unique elective PhD-level course for those conducting empirical research in any discipline, with an emphasis on a web environment. It covers three main data collection methods used by researchers: designed experiments, online surveys, and web data collection via technologies such as web-crawling, API and RSS.

We consider ethical, technical, and statistical aspects of data collection; we discuss the advantages and weaknesses of different collection methods

This is hands-on course with a strong web-based flavor. Students design and implement data collection via mini-projects. For further details, please watch the short course video, or see a recent course syllabus.

Note: BMGT883 was previously Applied Multivariate Analysis II. It is now completely redesigned, no longer covers multivariate analysis, and is independent of BMGT882 (Applied Multivariate Analysis)