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Second Year: Quantitative Methods Component in Core Papers Comparative Politics (201), International Relations (214) & Political Sociology (220)

The​ ​study​ ​of​ ​politics​ ​requires​ ​assessing​ ​claims​ ​about​ ​the​ ​relationships​ ​among​ ​political​ ​actors, political​ ​institutions,​ ​and​ ​societal​ ​outcomes.​ ​This​ ​course​ ​will​ ​help​ ​students​ ​critically​ ​assess claims​ ​made​ ​in​ ​academic​ ​literature​ ​and​ ​build​ ​the​ ​skills​ ​necessary​ ​to​ ​analyze​ ​these​ ​relationships themselves

The​ ​study​ ​of​ ​politics​ ​requires​ ​assessing​ ​claims​ ​about​ ​the​ ​relationships​ ​among​ ​political​ ​actors, political​ ​institutions,​ ​and​ ​societal​ ​outcomes.​ ​This​ ​course​ ​will​ ​help​ ​students​ ​critically​ ​assess claims​ ​made​ ​in​ ​academic​ ​literature​ ​and​ ​build​ ​the​ ​skills​ ​necessary​ ​to​ ​analyze​ ​these​ ​relationships themselves.

The​ ​course​ ​is​ ​designed​ ​as​ ​a​ ​complement​ ​to​ ​three​ ​core​ ​papers​ ​in​ ​Politics:​ ​Comparative Government​ ​(201),​ ​International​ ​Relations​ ​(214),​ ​and​ ​Political​ ​Sociology​ ​(220).​ ​Each​ ​of​ ​these papers​ ​asks​ ​students​ ​to​ ​critically​ ​evaluate​ ​empirical​ ​evidence;​ ​for​ ​example,​ ​recent​ ​exams​ ​have asked​ ​students​ ​to​ ​assess​ ​the​ ​effects​ ​of​ ​federalism​ ​(CG),​ ​the​ ​mass​ ​media​ ​(PS),​ ​and​ ​globalization (IR).​ ​Our​ ​main​ ​goal​ ​is​ ​to​ ​give​ ​students​ ​the​ ​tools​ ​to​ ​engage​ ​critically​ ​with​ ​the​ ​evidence​ ​they encounter​ ​in​ ​their​ ​core​ ​papers​ ​in​ ​Politics,​ ​which​ ​will​ ​help​ ​them​ ​make​ ​better​ ​assessments​ ​of quantitative​ ​evidence​ ​both​ ​in​ ​exam​ ​questions​ ​like​ ​these​ ​and​ ​in​ ​a​ ​much​ ​broader​ ​set​ ​of circumstances​ ​after​ ​their​ ​degree​ ​is​ ​completed.

 

Assessment

Students​ ​may​ ​choose​ ​between​ ​two​ ​forms​ ​of​ ​assessment.​ ​In​ ​either​ ​case,​ ​the​ ​assignment​ ​should​ ​be submitted​ ​via​ ​Weblearn​ ​by​ ​noon​ ​on​ ​Friday​ ​of​ ​Week​ ​2​ ​of​ ​Hilary​ ​Term.

Option​ ​1:​ ​Take-home​ ​exam

The​ ​take-home​ ​exam​ ​consists​ ​of​ ​specific​ ​questions​ ​about​ ​the​ ​content​ ​taught​ ​in​ ​the​ ​lab​ ​sessions. For​ ​example,​ ​students​ ​may​ ​be​ ​given​ ​a​ ​dataset​ ​and​ ​asked​ ​to​ ​run​ ​some​ ​analysis​ ​and​ ​interpret​ ​the results.​ ​The​ ​take-home​ ​exam​ ​will​ ​be​ ​distributed​ ​in​ ​Week​ ​8​ ​of​ ​Michaelmas​ ​Term.

Option​ ​2:​ ​Essay​ ​based​ ​on​ ​data​ ​analysis

Students​ ​pursuing​ ​this​ ​option​ ​will​ ​write​ ​an​ ​essay​ ​of​ ​no​ ​more​ ​than​ ​2,000​ ​words​ ​in​ ​which​ ​they report​ ​the​ ​results​ ​of​ ​original​ ​data​ ​analysis.​ ​This​ ​option​ ​is​ ​designed​ ​to​ ​allow​ ​students​ ​the​ ​freedom to​ ​pursue​ ​a​ ​topic​ ​or​ ​question​ ​that​ ​they​ ​find​ ​interesting,​ ​with​ ​the​ ​possibility​ ​that​ ​their​ ​analysis could​ ​be​ ​the​ ​first​ ​stage​ ​of​ ​a​ ​dissertation​ ​project.​ ​In​ ​general​ ​these​ ​essays​ ​should​ ​go​ ​well​ ​beyond what​ ​we​ ​do​ ​in​ ​the​ ​lab​ ​worksheets​ ​by​ ​using​ ​different​ ​data​ ​or​ ​additional​ ​methods​ ​or​ ​both.​ ​In previous​ ​years,​ ​a​ ​small​ ​minority​ ​of​ ​students​ ​chose​ ​this​ ​option.

For more information about assessment, see the course description.

 

Political Analysis Slides

Political Analysis Slides

Week 1: Review and Preview (Prof. A . Eggers)

Lab Resources

Lab 1


Lab 1: Answer Sheet

Answers for Lab 1 (Week 2)

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Lab 1: Data Set

Data Set for Lab 1

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Lab 1: Slides

Slides for Lab 1 (Week 2) 

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Lab 1: Worksheet

Worksheet for Lab 1 (Week 2)

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Lab 2


Lab 2: Answer Sheet

Answers for Lab 2 (Week 3)

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Lab 2: Slides

Slides for Lab 2 (Week 3)

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Lab 2: Worksheet

Worksheet for Lab 2 (Week 3 )

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Lab 3


Lab 3: Data Set

This is an RData file for use in Lab 3.

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Lab 3: Answer Sheet

Answers for Lab 3 (Week 4)

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Lab 3: Other

Experiments for Lab 3 (Week 4)

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Lab 3: Slides

Slides for Lab 3 (Week 4)

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Lab 4


Lab 4: Other

Code for Lab 4 (Week 5)

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Lab 4: Slides

Slides for Lab 4 (Week 5)

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Lab 4: Worksheet

Worksheet for Lab 4 (Week 5)

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Lab 5


Lab 5: Answer Sheet

Answers for Lab 5 (Week 6)

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Lab 5: Slides

Slides for Lab 5 (Week 6)

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Lab 5: Worksheet

Worksheet for Lab 5 (Week 6)

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Lab 6


Lab 6: Other

Code for Lab 6 (Week 7)

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Lab 6: Data Set

Data Set for Lab 6

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Lab 6: Slides

Slides for Lab 6 (Week 7)

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Lab 6: Worksheet

Worksheet for Lab 6 (Week 7)

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Lab 7


Lab 7: Worksheet

Worksheet for Lab 7 (Week 8)

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Lab 7: Slides

Slides for Lab 7 (Week 8)

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Lab 7: Other

Code for Lab 7 (Week 8)

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Lecture Slides form Michaelmas Term 2015

Lecture Slides (PDFs)

Lecture 1

Week 1: Review and Preview (Prof. A. Eggers)

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Lecture 1 Code

Week 1: Lecture 1 Code

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Lecture 2

Week 2: Interpreting Results and Conditional Effects (Prof. A. Ruggeri)

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Lecture 3

Week 3: Modelling and Interpreting Non-Linearity (Prof. A. Ruggeri)

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Lecture 4

Week 4: What should we control for? (Prof. A. Ruggeri)

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Lecture 5

Week 5: Randomized Experiments (Prof. D. Kirk)

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Lecture 6

Week 6: Natural and Quasi-Experiments (Prof. D. Kirk)

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Lecture 7

Week 7: External and Internal Validity (Prof. D. Kirk)

 

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Lecture 8

Week 8: Evaluating Evidence (Prof. D. Kirk)

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