1
Course outline and information.
3
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 Published Online First: 2009.http://search.proquest.com/docview/434162486?accountid=14511
5
Lohr S. The Age of Big Data. New York Times Published Online First: 2012.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;17:295–314. doi:10.1016/0010-0285(85)90010-6
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.
37
Kastellec JP, Leoni EL. Using Graphs Instead of Tables in Political Science. Perspectives on Politics;5:755–71. doi:10.1017/S1537592707072209
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;14:63–82.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.
43
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. In: Regression models for categorical and limited dependent variables. Thousand Oaks: : Sage Publications 1997. 34–84.http://ls-tlss.ucl.ac.uk/course-materials/PUBLG100_73806.pdf
45
Agresti, Alan. An introduction to categorical data analysis. New York: : Wiley 1996.
46
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.
48
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 2000;44:347–61.http://www.jstor.org/stable/2669316?origin=crossref