At the end of this course, participants:
Know about basic aspects of measurement (validity, reliability, precision, discriminating power, measurement scale)
Understand the principles of Summated Rating Scales, perform an item analysis (incl. so-called reliability analysis) in R, and interpret the results
Understand the principles of factor analytical models, compute simple factor models (e.g., by principal components analysis) in R, and interpret the results
Understand the principles of Item Response Theory, compute a Rasch model in R, and interpret the results
The course will be taught in three days of learning-by-doing. The general set-up of this course involves lecturing and practice in computer lab.