This week we discuss data. In particular, canonical data structures (e.g., cases-by-variables), levels of measurement, and data normalization. If we have time, we will begin next week's topic, which is measures of association.
Slides
Primary Readings
Osherson & Lane. Levels of measurement
Borgatti. Measurement
Borgatti. Normalization
Trochim. Correlation
Borgatti. Distance and correlation
Borgatti. Notes on similarity measures
Zegers, F. E., & ten Berge, J. M. F. (1985). A family of association coefficients for metric scales. Psychometrika, 50(1), 17-24 [PDF])
Worksheets
profiles.xlsx
Data