Polimetrics - Advanced Scaling Techniques in Political Science (2016/17)

First Lecture: What we mean by preferences of political actors and how to measure them. An introduction
Morning class
Lab Class  (required software: Cybersenate)

Second Lecture: Spatial theories
Morning class (Core Party Theory)
Lab Class (Veto Player Theory)

Third Lecture: Expert Surveys (part I)
Morning class (Japanese Expert Survey 2016; Japanese Expert Survey 2016 score sheet) 
Lab Class (R script; expert dataset; excel file) + Core & Veto Lab with Cybersenate (Letta Cabinet example) (required software: Cybersenate & R)
First Assignment

Fourth Lecture: Expert Surveys (part II)
Morning class
Lab class (lab materials [Germany dataset - Japan dataset] & script) (required software: R)
Second Assignment (Japan 2016 expert dataset) 

Fifth Lecture: Comparative Manifesto Project
Morning class
Lab class (lab materials & script)  (required software: R)
Third Assignment

Sixth Lecture: Wordfish
Morning class 
Lab class (lab dataset; lab script; lab script TM; Jfreq) (required software: R) austin R package
Fourth Assignment (assignment dataset)

Seventh Lecture: Wordscore
Morning class
Lab class (lab dataset: UK; Ireland; lab script) (required software: R)
Fifth Assignment 
 
Eight Lecture: Big Data
Morning class
Lab class (VOICES platform): the post-Trump victory results (Overall sentiment; Sentiment trend; Main Positive reasons; Main Negative reasons)