LUBS1185
Module Reading List

Core textbooks

Easterby-Smith, M., Jaspersen, L.J., Thorpe, R. and Valizade, D., 2021. Management and business research (Chapters 9-11, pp. 309-413). Sage.    

Field, A., Miles, J. and Field, Z., 2012. Discovering statistics using R. Sage publications. 

Angrist, J.D. and Pischke, J.S., 2014. Mastering metrics: The path from cause to effect. Princeton university press.  

Additional texts

James, G., Witten, D., Hastie, T. and Tibshirani, R., 2013. An introduction to statistical learning (Vol. 112, p. 18). New York: springer.

Lehmann, E.L., 2011. Fisher, Neyman, and the creation of classical statistics. Springer Science & Business Media.

Pearl, J. and Mackenzie, D. (2018). The book of why: the new science of cause and effect. Basic Books.

Thulin, M., 2021. Modern Statistics with R // http://www.modernstatisticswithr.com/_main.pdf 

Vapnik, V., 2013. The nature of statistical learning theory. Springer science & business media.

Ziliak, S. and McCloskey, D.N., 2008. The cult of statistical significance: How the standard error costs us jobs, justice, and lives. University of Michigan Press.

Online resources (highly recommended!)

R cookbook // http://www.cookbook-r.com 

Quick-R // https://www.statmethods.net 

R Tutor // http://www.r-tutor.com/content/r-tutorial-ebook 

The R podcast // https://r-podcast.org 

R seek (search engine for R) // https://rseek.org 

Lecture 1

Easterby-Smith, M., Jaspersen, L.J., Thorpe, R. and Valizade, D., 2021. Management and business research (Chapter 9, pp. 309-340). Sage.

Lecture 2

Amrhein, V., Greenland, S. and McShane, B., 2019. Scientists rise up against statistical significance. Nature, 567 (7748), pp. 305-307

Andraszewicz, S., Scheibehenne, B., Rieskamp, J., Grasman, R., Verhagen, J. and Wagenmakers, E.J., 2015. An introduction to Bayesian hypothesis testing for management research. Journal of Management, 41(2), pp.521-543.

Easterby-Smith, M., Jaspersen, L.J., Thorpe, R. and Valizade, D., 2021. Management and business research (Chapter 10, pp. 344-360). Sage.

Gill, J., 1999. The insignificance of null hypothesis significance testing. Political research quarterly, 52(3), pp.647-674.

Gigerenzer, G. and Marewski, J.N., 2015. Surrogate science: The idol of a universal method for scientific inference. Journal of management, 41(2), pp.421-440.

Lecture 3

Angrist, J.D. and Pischke, J.S., 2014. Mastering metrics: The path from cause to effect (Chapters 1-2, pp. 1-82). Princeton university press

Easterby-Smith, M., Jaspersen, L.J., Thorpe, R. and Valizade, D., 2021. Management and business research (Chapter 10, pp. 360-383). Sage.

Pearl, J. and Mackenzie, D. (2018). The book of why: the new science of cause and effect (Chapter 1). Basic Books.   Available as an Online Course Reading in Minerva 

Lecture 4

Breiman, L., 2001. Statistical modeling: The two cultures (with comments and a rejoinder by the author). Statistical science, 16(3), pp.199-231.

Breiman, L., 2001. Random forests. Machine learning, 45(1), pp.5-32.

Bzdok, D., N. Altman and M. Krzywinski, M., 2018. Statistics versus machine learning, Nature methods, 15(4), p.233.

Easterby-Smith, M., Jaspersen, L.J., Thorpe, R. and Valizade, D., 2021. Management and business research (Chapter 11, pp. 387-413). Sage.

Lecture 5

Bollen, J., Van de Sompel, H., Hagberg, A. and Chute, R., 2009. A principal component analysis of 39 scientific impact measures. PloS one, 4(6), p.e6022.

Easterby-Smith, M., Jaspersen, L.J., Thorpe, R. and Valizade, D., 2021. Management and business research (Chapter 11, pp. 391-394). Sage.

Figueiredo Filho, D.B., da Rocha, E.C., da Silva Júnior, J.A., Paranhos, R., da Silva, M.B. and Duarte, B.S.F., 2014. Cluster analysis for political scientists. Applied Mathematics, 2014.

Kettenring, J.R., 2006. The practice of cluster analysis. Journal of classification, 23(1), pp.3-30.

Savage, M., Devine, F., Cunningham, N., Taylor, M., Li, Y., Hjellbrekke, J., Le Roux, B., Friedman, S. and Miles, A., 2013. A new model of social class? Findings from the BBC’s Great British Class Survey experiment. Sociology, 47(2), pp.219-250.

Tomlinson, J., Valizade, D., Muzio, D., Charlwood, A. and Aulakh, S., 2019. Privileges and penalties in the legal profession: an intersectional analysis of career progression. The British journal of sociology, 70(3), pp.1043-1066.

Wolfson, M., Madjd-Sadjadi, Z. and James, P., 2004. Identifying national types: A cluster analysis of politics, economics, and conflict. Journal of Peace Research, 41(5), pp.607-623.

This list was last updated on 13/09/2021