3
P. M. Kellstedt and G. D. Whitten, The fundamentals of political science research, Cambridge University Press, Cambridge, 2nd ed., 2013.
4
S. Lohr, New York Times.
5
S. Lohr, New York Times.
6
Hamilton, Lawrence C., Statistics with Stata, Brooks/Cole, Belmont, CA, Updated for version 10., 2009.
7
Baum, Christopher F., An introduction to modern econometrics using Stata, Stata Press, College Station, Tex, 2006.
8
Rabe-Hesketh, S. and Everitt, Brian, A handbook of statistical analyses using Stata, Chapman & Hall/CRC, Boca Raton, 3rd ed., 2004.
9
R. Garner, The joy of stats: a short guide to introductory statistics in the social sciences, University of Toronto Press, North York, Ont, 2nd ed., 2010.
10
D. Rowntree, Statistics without tears: a primer for non-mathematicians, Allyn and Bacon, Boston [Mass.], Classic ed., 2004, vol. Allyn and Bacon classics.
11
N. J. Salkind, Statistics for people who (think they) hate statistics, SAGE, Los Angeles, Ed. 3, Excel 2010 ed., 2013.
12
Tufte, Edward R., The visual display of quantitative information, Graphics Press, Cheshire, Conn, 2nd ed., 2001.
13
Yau, Nathan, Visualize this: the FlowingData guide to design, visualization, and statistics, Wiley Pub, Indianapolis, Ind, 2011.
14
P. M. Kellstedt and G. D. Whitten, The fundamentals of political science research, Cambridge University Press, Cambridge, 2nd ed., 2013.
15
Babbie, Earl R., The practice of social research, Thomson/Wadsworth, Belmont, CA, 10th ed., 2004.
16
Weisberg, Herbert F., Central tendency and variability, Sage Publications, London, 1992, vol. A Sage university papers series. Quantitative applications in the social sciences.
17
Pennings, Paul, Keman, Hans, and Kleinnijenhuis, J., Doing research in political science: an introduction to comparative methods and statistics, Sage, London, 1999.
18
J. T. McClave and T. Sincich, A first course in statistics, Pearson, Harlow, 11th ed., Pearson new international ed., 2014.
19
P. M. Kellstedt and G. D. Whitten, The fundamentals of political science research, Cambridge University Press, Cambridge, 2nd ed., 2013.
20
N. A. Weiss, P. T. Holmes and M. Hardy, A course in probability, Addison-Wesley, Reading, Mass, International ed., 2006.
21
J. E. Freund, Introduction to Probability, Dover Publications, 2012.
22
Levin, Jack, Fox, James Alan, and Forde, David R., Elementary statistics in social research, Allyn & Bacon, Boston, MA, 11th ed., 2010.
23
T. Gilovich, R. Vallone and A. Tversky, Cognitive Psychology, 17, 295–314.
24
P. M. Kellstedt and G. D. Whitten, The fundamentals of political science research, Cambridge University Press, Cambridge, 2nd ed., 2013.
25
Levin, Jack, Fox, James Alan, and Forde, David R., Elementary statistics in social research, Allyn & Bacon, Boston, MA, 11th ed., 2010.
26
DeGroot, Morris H. and Schervish, Mark J., Probability and statistics, Addison-Wesley, Boston, Mass, 3rd ed., 2002.
27
P. M. Kellstedt and G. D. Whitten, The fundamentals of political science research, Cambridge University Press, Cambridge, 2nd ed., 2013.
28
Levin, Jack, Fox, James Alan, and Forde, David R., Elementary statistics in social research, Allyn & Bacon, Boston, MA, 11th ed., 2010.
29
J. H. Bray and S. E. Maxwell, Multivariate analysis of variance, Sage Publications, Beverly Hills, 1985, vol. A Sage university paper. Quantitative applications in the social sciences.
30
P. M. Kellstedt and G. D. Whitten, The fundamentals of political science research, Cambridge University Press, Cambridge, 2nd ed., 2013.
31
Chen, Peter Y. and Popovich, Paula M., Correlation: parametric and nonparametric measures, Sage Publications, London, 2002, vol. Sage university papers series.
32
A. M. Liebetrau, Measures of association, Sage, Beverly Hills, 1983, vol. Sage university papers series. Quantitative applications in the social sciences.
33
P. M. Kellstedt and G. D. Whitten, The fundamentals of political science research, Cambridge University Press, Cambridge, 2nd ed., 2013.
34
Berry, William D. and Feldman, Stanley A., Multiple regression in practice, Sage, Newbury Park, 1985, vol. Sage university papers series.
35
W. D. Berry, Understanding regression assumptions, Sage Publications, Newbury Park, 1993, vol. Sage university papers series. Quantitative applications in the social sciences.
36
Achen, Christopher H., Interpreting and using regression, Sage Publications, London, 1982, vol. Sage university papers series.
37
J. P. Kastellec and E. L. Leoni, Perspectives on Politics, 5, 755–771.
38
P. M. Kellstedt and G. D. Whitten, The fundamentals of political science research, Cambridge University Press, Cambridge, 2nd ed., 2013.
39
T. Brambor, W. Roberts Clark and M. Golder, Political Analysis, 14, 63–82.
40
Amemiya, Takeshi, Introduction to statistics and econometrics, Harvard University Press, Cambridge, Mass, 1994.
41
Draper, Norman Richard and Smith, Harry, Applied regression analysis, Wiley, Chichester, 2nd ed., 1981, vol. Wiley series in probability and mathematical statistics.
42
J. Fox, Regression diagnostics, Sage Publications, Newbury Park, Calif, 1991, vol. A Sage university papers series. Quantitative applications in the social sciences.
43
P. M. Kellstedt and G. D. Whitten, The fundamentals of political science research, Cambridge University Press, Cambridge, 2nd ed., 2013.
44
J. S. Long, in Regression models for categorical and limited dependent variables, Sage Publications, Thousand Oaks, 1997, vol. Advanced quantitative techniques in the social sciences, pp. 34–84.
45
Agresti, Alan, An introduction to categorical data analysis, Wiley, New York, 1996, vol. Wiley series in probability and statistics.
46
Aldrich, John Herbert and Nelson, Forrest D., Linear probability, logic and probit models, Sage, Beverly Hills, 1984, vol. Quantitative applications in the social sciences.
47
Finney, D. J., Probit analysis: a statistical treatment of the sigmoid response curve, Cambridge U.P, 2nd ed., 1952.
48
P. M. Kellstedt and G. D. Whitten, The fundamentals of political science research, Cambridge University Press, Cambridge, 2nd ed., 2013.
49
Hosmer, David W. and Lemeshow, Stanley, Applied logistic regression, Wiley, Chichester, 1989, vol. Wiley series in probability and mathematical statistics.
50
S. W. Menard, Applied logistic regression analysis, Sage Publications, Thousand Oaks, Calif, 2nd ed., 2002, vol. Sage university papers. Quantitative applications in the social sciences.
51
Eliason, Scott R., Maximum likelihood estimation: logic and practice, Sage, London, 1993, vol. Quantitative applications in the social sciences.
52
Gary King, Michael Tomz and Jason Wittenberg, American Journal of Political Science, 2000, 44, 347–361.
