PO12Q-15 Introduction to Quantitative Political Analysis II
This module builds on PO-6128 which is essential for taking this module. PO-6129 will concentrate on the tasks of "analysis" and "interpretation" of the quantitative methods typology, and provide students with a toolbox to analyse the relationship between two or more variables. The module will start by looking at two-sample t-tests and cross-tabulations, before moving to its main focus: regression analysis. This method is one of the standard tools of political science researchers and cannot only demonstrate whether relationships between variables exist, but also quantify the magnitude and direction of such a relationship. We will progress in small steps, starting with only one independent variable to explore the intuition, assumptions, and interpretation of results. The module will close by discussing the basics of multiple regression.
To provide an introduction into basic bivariate methods of analysis
To provide an introduction to bivariate and multiple linear regression analysis
To build on the skills acquired in R on PO-6128
Further data analysis skills for employability in relation to PO-6128
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
- Two sample t-tests
- Cross-tabulation and chi-square
- Linear regression: the intuition
- Two-Variable Regression Analysis
- The Classical Model
- Reading Week
- The Gauss-Markov Theorem and Goodness of Fit
- Two-Variable Regression - Interval Estimation and Hypothesis Testing
- Conducting and Interpreting Multiple Regression Analysis
- Dummy Variables and Model Specification
By the end of the module, students should be able to:
- Understand basic methods of bivariate analysis (two-sample t-tests and cross-tabulations)
- Understand and apply the method of linear regression (ordinary least squares)
- Conduct basic bivariate and multivariate analysis in R
- Begin to critically engage with quantitative findings in political science journal articles.
Indicative reading list
Acock, Alan C. 2014. A Gentle Introduction to Stata, Fourth Edition, Stata Press
Agresti, A. and B. Finlay. 2008. Statistical Methods for the Social Sciences, 4th ed. Upper Saddle River, NJ: Prentice Hall.
Brady, Henry E. 2010. Rethinking Social Inquiry: Diverse Tools, Shared Standards, 2nd edition. Rowman & Littlefield
Brians, Craig L., Lars Wilnat, Jarol B. Manheim and Richard C. Rich. 2010. Empirical Political Analysis. Pearson
Bryman, A. 2008. Social Research Methods, 4th ed., Oxford: Oxford University Press
Coolidge, Frederick L. 2012. Statistics: A Gentle Introduction. Sage
Diamond, Ian and Jefferies, Julie. 2000. Beginning Statistics: An Introduction for Social Scientists. Sage
Frankfort-Nachmias, Chava. 2008. Research methods in the social sciences, 7th edition, New York: Worth Publishers.
Gill, Jeff. 2006. Essential Mathematics for Political and Social Research, Cambridge: Cambridge University Press.
Hamilton, Lawrence. 2008. Statistics with Stata - International Edition. Stata Press
Lomax, Richard G. and Debbie L. Hahs-Vaughn. 2012. An Introduction to Statistical Concepts, 3rd edition. Routledge
Reiche, Florian (forthcoming) Introduction to Quantitative Methods in the Social Sciences. Oxford: Oxford University Press
Studenmund, A. H. 2006. Using Econometrics: A Practical Guide. Fifth ed. Boston: Pearson.
Tufte, E. (1983) The Visual Display of Quantitative Information. Cheshire, CT: Graphics Press.
Mini Research Project in Seminars.
Data from around the world is used.
Subject specific skills
Analysis of bivariate relationships,
Application of bivariate and multiple regression analysis to empirical problems,
Increased proficiency in statistical software (in comparison to prerequisite module "Introduction to Quantitative Political Analysis I").
Written communication skills,
Oral communication skills,
Skills in the use of information technology,
Skills of interpretation and the critical analysis of primary and secondary sources,
The ability to digest, retain and apply complex information and ideas,
Ability to conduct research and reference your work appropriately,
Time management skills and the ability to meet deadlines,
The ability to reflect critically on the extent and limitations of how and what you have learned, discovered and understood.
|Lectures||9 sessions of 1 hour (6%)|
|Seminars||9 sessions of 2 hours (12%)|
|Private study||123 hours (82%)|
Private study description
Guided reading through reading list, completion of research project and homework in preparation of seminars.
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group D
|Week 7 In-Class Test||10%|
|2 hour online examination (Summer)||90%|
Feedback on assessment
Detailed and regular feedback will be provided throughout the module.
Verbal feedback on lab and workshop work will be provided at relevant points in the lectures and workshops throughout all sessions. This will be provided by module teachers at each session. In addition, student participation will be strongly encouraged and this will include students giving each other peer feedback during classes on their own work as well. Students also have the opportunity to test their knowledge on a formative weekly quiz on Moodle with instant feedback.
Detailed written feedback will be provided on both assessments via Tabula.
This module is Core for:
- Year 1 of UPOA-M162 Undergraduate Politics, International Studies and Quantitative Methods
This module is Optional for:
- Year 2 of UPOA-M100 Undergraduate Politics
- Year 2 of UPOA-M16A Undergraduate Politics and International Studies
This module is Option list A for:
- Year 1 of UPOA-M100 Undergraduate Politics
- Year 1 of UPOA-M16A Undergraduate Politics and International Studies
- Year 2 of UPOA-M168 Undergraduate Politics and International Studies with Chinese
- Year 2 of UPOA-ML13 Undergraduate Politics and Sociology