PIED3704
Module Reading List
Dr Yoshiharu Kobayashi
Y.Kobayashi@leeds.ac.uk
Tutor information is taken from the Module Catalogue
- Week 2: Models for Binary Outcomes
- Week 3: Models for Ordinal Outcomes
- Week 4: Interaction Effects
- Week 5: Fixed Effects and Multi-level Regression Models
- Week 7: Data Reduction and Scaling
- Week 8: Panel Data
- Week 9: Zero-inflated Models
- Week 10: Causal Inference & Regression Discontinuity
- Week 11: Conclusion
Week 2: Models for Binary Outcomes
Recommended Reading
- Agresti, Alan. 2018. Statistical Methods for the Social Sciences. New Jersey: Pearson Education. International edition, 5th ed. [Chapters 15.1, 15.2, 15.3]
- Scott Long and Jeremy Freese. 2014. Regression models for categorical dependent variables using Stata, Stata Press. [Chapters 5, 6]
- Tabachnick, Barbara G. and Linda S. Fidell. 2014. Using Multivariate Statistics. Pearson International Edition. Harlow, Essex [Chapter 10]
Week 3: Models for Ordinal Outcomes
Recommended Reading
- Agresti, Alan. 2018. Statistical Methods for the Social Sciences. New Jersey: Pearson Education. International edition, 5th ed. [Chapter 15.4]
- Scott Long and Jeremy Freese. 2014. Regression models for categorical dependent variables using Stata, Stata Press. [Chapters 7]
Week 4: Interaction Effects
Required Reading
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Brambor, T., Clark, W. R., & Golder, M. (2006). Understanding Interaction Models: Improving Empirical Analyses. Political Analysis, 14(1), 63-82. OCR REQUESTED BY LIBRARY (PR 06/10/2021)
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Braumoeller, B. F. (2004). Hypothesis Testing and Multiplicative Interaction Terms. International Organization, 58(04), 807-820.
Recommended Reading
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Trenton Mize, 2019. "Best Practices for Estimating, Interpreting, and Presenting Nonlinear Interaction Effects" Sociological Science 6 (4):81-117.
Week 5: Fixed Effects and Multi-level Regression Models
Required Reading
-
Nezlek, J. B. (2008). An Introduction to Multilevel Modeling for Social and Personality Psychology. Social and Personality Psychology Compass, 2(2), 842-860.
Recommended Reading
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Robson, Karen, & Pevalin, David. (2016). Multilevel Modeling in Plain Language. London: SAGE Publications Ltd.
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Hox, Joop J., Moerbeek, Mirjam, & van de Schoot, Rens. (2018). Multilevel Analysis: Techniques and applications (3rd ed.).
Week 7: Data Reduction and Scaling
Required Reading
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Tavakol, M., & Dennick, R. (2011). "Making sense of Cronbach's alpha." International journal of medical education, 2, 53-55.
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Finch, W. H. (2020). Exploratory Factor Analysis. Thousand Oaks, California: Sage Publications, Inc. [Chapter 1]
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Freeze, R., & Raschke, R. L. (2007). An Assessment of Formative and Reflective Constructs in IS Research. Paper presented at the European Conference on Information Systems (ECIS), St. Gallen, Switzerland. [PART 1: pages 1482-1486] https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1025&context=ecis2007
Recommended Reading
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Finch, W. H. (2020). Exploratory Factor Analysis. Thousand Oaks, California: Sage Publications, Inc.
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Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). New York, NY: The Guilford Press.
Week 8: Panel Data
Recommended Reading
- Green, W.H. (2010), Econometric Analysis. Chapter 11: Models for Panel Data, Pearson. Available online: http://people.stern.nyu.edu/wgreene/Lugano2013/Greene-Chapter-11.pdf
- Frees, E.W. (2004): Longitudinal and panel data: analysis and applications in the social sciences. Cambridge University Press
- Stata Longitudinal-Data/Panel-Data Reference Manual: https://www.stata.com/manuals13/xt.pdf
Week 9: Zero-inflated Models
Recommended Reading
- McDonald, J. F., & Moffitt, R. A. (1980). The Uses of Tobit Analysis. The Review of Economics and Statistics, 62(2), 318–321.https://doi.org/10.2307/1924766
- Jesuit, D., Paradowski, R., Mahler, V. (2009). Electoral support for extreme right-wing parties: A sub-national analysis of Western European elections. Electoral Studies, 28, 279–290.https://doi.org/10.1016/j.electstud.2009.01.009
Week 10: Causal Inference & Regression Discontinuity
Recommended Reading
- Valentim, V., Ruipérez Núñez, A., & Dinas, E. (2021). Regression discontinuity designs: A hands-on guide for practice. Italian Political Science Review/Rivista Italiana Di Scienza Politica 51(2): 250-268. doi:10.1017/ipo.2021.27 (Open Access)
- Abou-Chadi, T., & Krause, W. (2020). The Causal Effect of Radical Right Success on Mainstream Parties’ Policy Positions: A Regression Discontinuity Approach. British Journal of Political Science 50(3): 829 -847. https://doi.org/10.1017/S0007123418000029
Week 11: Conclusion
Recommended Reading
- Christopher Baum (2016) An introduction to Stata programming, Stata Press.
This list was last updated on 07/10/2021