1.
Course outline and information.
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Course resources.
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Kellstedt PM, Whitten GD. The fundamentals of political science research. 2nd ed. Cambridge: Cambridge University Press; 2013.
4.
Lohr S. For Today’s Graduate, Just One Word: Statistics. New York Times [Internet]. 2009; Available from: http://search.proquest.com/docview/434162486?accountid=14511
5.
Lohr S. The Age of Big Data. New York Times [Internet]. 2012; Available from: http://search.proquest.com/docview/921038884?accountid=14511
6.
Hamilton, Lawrence C. Statistics with Stata. Updated for version 10. Belmont, CA: Brooks/Cole; 2009.
7.
Baum, Christopher F. An introduction to modern econometrics using Stata. College Station, Tex: Stata Press; 2006.
8.
Rabe-Hesketh, S., Everitt, Brian. A handbook of statistical analyses using Stata. 3rd ed. Boca Raton: Chapman & Hall/CRC; 2004.
9.
Garner R. The joy of stats: a short guide to introductory statistics in the social sciences. 2nd ed. North York, Ont: University of Toronto Press; 2010.
10.
Rowntree D. Statistics without tears: a primer for non-mathematicians. Classic ed. Boston [Mass.]: Allyn and Bacon; 2004.
11.
Salkind NJ. Statistics for people who (think they) hate statistics. Ed. 3, Excel 2010 ed. Los Angeles: SAGE; 2013.
12.
Tufte, Edward R. The visual display of quantitative information. 2nd ed. Cheshire, Conn: Graphics Press; 2001.
13.
Yau, Nathan. Visualize this: the FlowingData guide to design, visualization, and statistics. Indianapolis, Ind: Wiley Pub; 2011.
14.
Kellstedt PM, Whitten GD. The fundamentals of political science research. 2nd ed. Cambridge: Cambridge University Press; 2013.
15.
Babbie, Earl R. The practice of social research. 10th ed. Belmont, CA: Thomson/Wadsworth; 2004.
16.
Weisberg, Herbert F. Central tendency and variability. London: Sage Publications; 1992.
17.
Pennings, Paul, Keman, Hans, Kleinnijenhuis, J. Doing research in political science: an introduction to comparative methods and statistics. London: Sage; 1999.
18.
McClave JT, Sincich T. A first course in statistics. 11th ed., Pearson new international ed. Harlow: Pearson; 2014.
19.
Kellstedt PM, Whitten GD. The fundamentals of political science research. 2nd ed. Cambridge: Cambridge University Press; 2013.
20.
Weiss NA, Holmes PT, Hardy M. A course in probability. International ed. Reading, Mass: Addison-Wesley; 2006.
21.
Freund JE. Introduction to Probability. Dover Publications; 2012.
22.
Levin, Jack, Fox, James Alan, Forde, David R. Elementary statistics in social research. 11th ed. Boston, MA: Allyn & Bacon; 2010.
23.
Gilovich T, Vallone R, Tversky A. The hot hand in basketball: On the misperception of random sequences. Cognitive Psychology. 17(3):295–314.
24.
Kellstedt PM, Whitten GD. The fundamentals of political science research. 2nd ed. Cambridge: Cambridge University Press; 2013.
25.
Levin, Jack, Fox, James Alan, Forde, David R. Elementary statistics in social research. 11th ed. Boston, MA: Allyn & Bacon; 2010.
26.
DeGroot, Morris H., Schervish, Mark J. Probability and statistics. 3rd ed. Boston, Mass: Addison-Wesley; 2002.
27.
Kellstedt PM, Whitten GD. The fundamentals of political science research. 2nd ed. Cambridge: Cambridge University Press; 2013.
28.
Levin, Jack, Fox, James Alan, Forde, David R. Elementary statistics in social research. 11th ed. Boston, MA: Allyn & Bacon; 2010.
29.
Bray JH, Maxwell SE. Multivariate analysis of variance. Beverly Hills: Sage Publications; 1985.
30.
Kellstedt PM, Whitten GD. The fundamentals of political science research. 2nd ed. Cambridge: Cambridge University Press; 2013.
31.
Chen, Peter Y., Popovich, Paula M. Correlation: parametric and nonparametric measures. London: Sage Publications; 2002.
32.
Liebetrau AM. Measures of association. Beverly Hills: Sage; 1983.
33.
Kellstedt PM, Whitten GD. The fundamentals of political science research. 2nd ed. Cambridge: Cambridge University Press; 2013.
34.
Berry, William D., Feldman, Stanley A. Multiple regression in practice. Newbury Park: Sage; 1985.
35.
Berry WD. Understanding regression assumptions. Newbury Park: Sage Publications; 1993.
36.
Achen, Christopher H. Interpreting and using regression. London: Sage Publications; 1982.
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Kastellec JP, Leoni EL. Using Graphs Instead of Tables in Political Science. Perspectives on Politics. 5(4):755–771.
38.
Kellstedt PM, Whitten GD. The fundamentals of political science research. 2nd ed. Cambridge: Cambridge University Press; 2013.
39.
Brambor T, Roberts Clark W, Golder M. Understanding Interaction Models: Improving Empirical Analyses. Political Analysis [Internet]. Oxford University Press; 14(1):63–82. Available from: http://www.jstor.org/stable/10.2307/25791835?Search=yes&resultItemClick=true&searchText=sn:10471987&searchText=AND&searchText=year:2006&searchUri=%2Faction%2FdoBasicSearch%3FQuery%3Dsn%253A10471987%2BAND%2Byear%253A2006%26amp%3Bprq%3Dsn%253A10471987%2BAND%2Byear%253A2005%26amp%3Bhp%3D25%26amp%3Bacc%3Don%26amp%3Bwc%3Doff%26amp%3Bfc%3Doff%26amp%3Bso%3Drel
40.
Amemiya, Takeshi. Introduction to statistics and econometrics. Cambridge, Mass: Harvard University Press; 1994.
41.
Draper, Norman Richard, Smith, Harry. Applied regression analysis. 2nd ed. Chichester: Wiley; 1981.
42.
Fox J. Regression diagnostics. Newbury Park, Calif: Sage Publications; 1991.
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Kellstedt PM, Whitten GD. The fundamentals of political science research. 2nd ed. Cambridge: Cambridge University Press; 2013.
44.
Long JS. Binary outcomes : the linear probability, probit, and logit models. Regression models for categorical and limited dependent variables [Internet]. Thousand Oaks: Sage Publications; 1997. p. 34–84. Available from: http://ls-tlss.ucl.ac.uk/course-materials/PUBLG100_73806.pdf
45.
Agresti, Alan. An introduction to categorical data analysis. New York: Wiley; 1996.
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Aldrich, John Herbert, Nelson, Forrest D. Linear probability, logic and probit models. Beverly Hills: Sage; 1984.
47.
Finney, D. J. Probit analysis: a statistical treatment of the sigmoid response curve. 2nd ed. Cambridge U.P; 1952.
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Kellstedt PM, Whitten GD. The fundamentals of political science research. 2nd ed. Cambridge: Cambridge University Press; 2013.
49.
Hosmer, David W., Lemeshow, Stanley. Applied logistic regression. Chichester: Wiley; 1989.
50.
Menard SW. Applied logistic regression analysis. 2nd ed. Thousand Oaks, Calif: Sage Publications; 2002.
51.
Eliason, Scott R. Maximum likelihood estimation: logic and practice. London: Sage; 1993.
52.
Gary King, Michael Tomz and Jason Wittenberg. Making the Most of Statistical Analyses: Improving Interpretation and Presentation. American Journal of Political Science [Internet]. Midwest Political Science Association; 2000;44(2):347–361. Available from: http://www.jstor.org/stable/2669316?origin=crossref