Introduction
R Refresher
1 Measurement: What, Why and How
- 1.1 Seminar
2 Measurement Theory and Error
- 2.1 Seminar
3 Eliciting Measures
- 3.1 Seminar
4 Deriving Scales from Theory
- 4.1 Seminar
5 Supervised Scale Measurement I: Comparison Data
- 5.1 Seminar
6 Supervised Scale Measurement II: Regression
- 6.1 Seminar
7 Supervised Scale Measurement III: Linear Indices
- 7.1 Seminar
8 Unsupervised Scale Measurement I: Interval-Level Indicators
- 8.1 Seminar
9 Unsupervised Scale Measurement II: Categorical Indicators
- 9.1 Seminar
10 Supervised and Unsupervised Class Measurement
- 10.1 Seminar
Further Related Topics

POLS0013: Measurement in Data Science

3 Eliciting Measures

Topics:

Required reading:

Chapter 6, Pragmatic Social Measurement

Further reading:

Theory

Applications

3.1 Seminar

TO BE WRITTEN