EDA for HLM: Visualization when probabilistic inference fails

Political Analysis

Volumn 13, Issue 4, 2005, Pages 301-326

  Bowers, Jake ^a   Drake, Katherine W ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 24944481804     PISSN: 10471987     EISSN: None     Source Type: Journal    
DOI: 10.1093/pan/mpi031     Document Type: Article

References (57)

1. Abelson, Robert. 1995. Statistics as Principled Argument. New York: Lawrence Erlbaum.
2. Achen, Christopher H. 1999. "Warren miller and the future of political data analysis." Political Analysis 8: 142-146.
3. Achen, Christopher H., and W. P. Shively. 1995. Cross-Level Inference University of Chicago Press, Chicago.
4. Becker, R. A., W. S. Cleveland, and M. J. Shyu. 1996. "The visual design and control of Trellis Display." Journal of Computational and Statistical Graphics 5:123-155. (Available from www.stat.purdue.edu/ wsc/papers/trellis.design.control.ps.)
5. Bowers, Jake, and Michael Ensley. 2003. "Issues in Analyzing Data from the Dual-Mode 2000 American National Election Study." Technical Report. Ann Arbor, MI: National Election Studies.
6. Brady, Henry, and Jason Seawright. 2004. "Framing social inquiry: From Models of Causation to Statistically Based Causal Inference." Working paper.
7. Buja, Andreas, and Dianne Cook. 1999. "Inference for Data Visualization." Presented at the Joint Statistics Meetings, August 1999. Baltimore, MD. (Available from www-stat.wharton.upenn.edu/buja/ PAPERS/jsm99.ps.gz.)
8. Burns, Nancy, Kay L. Schlozman, and Sidney Verba. 2001. The Private Roots of Public Action: Gender, Equality, and Political Participation Cambridge, MA: Harvard University Press.
9. Cleveland, William S. 1993. Visualizing Data. Summit, NJ: Hobart.
10. Davidson, Russell, and James G. MacKinnon. 1993. Estimation and Inference in Econometrics. New York: Oxford University Press.
11. Fox, John. 1997. Applied Regression Analysis, Linear Models, and Related Methods. Thousand Oaks, CA: Sage.
12. Gelman, Andrew. 2003. "A Bayesian Formulation of Exploratory Data Analysis and Goodness-of-Fit Testing." International Statistical Review 71:369-382.
13. Gelman, Andrew. 2004. "Exploratory Data Analysis for Complex Models (with Discussion by Andreas Buja and Rejoinder)." Journal of Computational and Graphical Statistics 13:755-787.
14. Gelman, Andrew, John B. Carlin, Hal S. Stern, and Donald B. Rubin. 2004. Bayesian Data Analysis, 2nd ed. Boca Raton, FL: Chapman and Hall/ CRC.
15. Gelman, Andrew, Cristian Pasarica, and Rahul Dodhia. 2002. "Let's Practice What We Preach: Turning Tables into Graphs." Statistical Computing and Graphics 56:121-130.
16. Gill, Jeff. 2002. Bayesian Methods: A Social and Behavioral Sciences Approach. Boca Raton, FL: Chapman and Hall/CRC.
17. Goldstein, H. 1999. Multilevel Statistical Models. London: Edward Arnold.
18. Greene, William H. 2002. Econometric Analysis, 5th ed. Upper Saddle River, NJ: Prentice Hall.
19. Holland, Paul W. 1986. "Statistics and Causal Inference." Journal of the American Statistical Association, 81:945-960.
20. Hox, J. J., and C. J. M. Maas. 2002. Sample Sizes for Multilevel Modeling. In Social Science Methodology in the New Millennium. Proceedings of the Fifth International Conference on Logic and Methodology, eds. J. Blasius, J. Hox, E. de Leeuw, and P. Schmidt. Opladen, Germany: Leske + Budrich Verlag.
21. Huckfeldt, R. R. 1979. "Political Participation And The Neighborhood Social Context." American Journal of Political Science 23:579-592.
22. Jackman, Simon. 2004. "Bayesian Analysis for Political Research." Annual Review of Political Science 7: 483-505.
23. King, Gary. 1989. Unifying Political Methodology: The Likelihood Theory of Statistical Inference. New York: Cambridge University Press.
24. Kreft, Ita. 1996. "Are Multilevel Techniques Necessary? An Overview, Including Simulation Studies." Unpublished manuscript.
25. Kreft, I., and J. D. Leeuw. 1998. Introducing Multilevel Modeling. London: Sage.
26. Langford, Ian H., and Toby Lewis. 1998. "Outliers in Multilevel Data." Journal of the Royal Statistical Society A 161:121-160.
27. Leisch, Friedrich. 2002. Dynamic Generation of Statistical Reports Using Literate Data Analysis. In Compstat 2002 - Proceedings in Computational Statistics, eds. W. Haerdle and B. Roenz. Heidelberg, Germany: Physika Verlag, pp. 575-580.
28. Leisch, Friedrich. 2005. "Sweave User Manual." (Available from www.ci.tuwien.ac.at/leisch/Sweave.)
29. Lewis, Jeffrey B., and Drew A. Linzer. 2005. "Estimating Regression Models in Which the Dependent Variable Is Based on Estimates." Political Analysis. doi:10.1093/pan/mpi026.
30. Longford, N. T. 1993. Random Coefficient Models. Oxford: Clarendon.
31. Maas, Cora J. M., and Joop J. Hox. 2002. "Robustness of Multilevel Parameter Estimates against Small Sample Sizes." In Social Science Methodology in the New Millennium, eds. J. Blasius, J. Hox, E. de Leeuw, and P. Schmidt. Opladen, Germany: Leske + Budrich. (Available from www.fss.uu.nl/ms/jh/papers/p090101.pdf.)
32. Maas, Cora J. M., and Joop J. Hox. 2004. "Robustness Issues in Multilevel Regression Analysis." Statistica Neerlandica 58:127-137.
33. McCulloch, Charles E., and Shayle R. Searle. 2001. Generalized, Linear, and Mixed Models. New York: John Wiley and Sons.
34. Mundlak, Yair. 1978. "On the Pooling of Time Series and Cross Section Data." Econometrica 46:69-85.
35. Nie, Norman, Jane Junn, and Kenneth S. Barry. 1996. Education and Democratic Citizenship in America. Chicago: University of Chicago Press.
36. Pinheiro, José C., and Douglas M. Bates. 2000. Mixed-Effects Models in S and S-PLUS. New York: Springer-Verlag.
37. Development Core Team. 2005. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. (Available from www.R-project.org.)
38. Raudenbush, Stephen W., and Anthony S. Bryk. 2002. Hierarchical Linear Models: Applications and Data Analysis Methods, 2nd ed. Thousand Oaks, CA: Sage.
39. Rosenbaum, Paul R. 2002. Observational Studies. New York: Springer.
40. Rosenstone, Steven, and John M. Hansen. 1993. Mobilization, Participation and Democracy in America. New York: MacMillan.
41. Rubin, Donald B. 1991. "Practical Implications of Modes of Statistical Inference for Causal Effects and the Critical Role of the Assignment Mechanism." Biometrics 47:1213-1234.
42. Sarkar, Deepayan. 2005. Lattice: Lattice Graphics. R Foundation for Statistical Computing [producer and distributor]. (Available from http://cran.r-project.org/src/contrib/Descriptions.lattice.html.)
43. Singer, Judith D., and John B. Willett. 2003. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. New York: Oxford University Press.
44. Snijders, T., and R. Bosker. 1999. Multilevel Modeling: An Introduction to Basic and Advanced Multilevel Modeling. London: Sage.
45. Steenbergen, Marco R., and Bradford S. Jones. 2002. "Modeling Multilevel Data Structures." American Journal of Political Science 46:218-237.
46. Stoker, Laura, and Jake Bowers. 2002a. "Designing Multi-level Studies: Sampling Voters and Electoral Contexts." Electoral Studies, 21:235-267.
47. Stoker, L., and J. Bowers. 2002b. "Erratum to 'Designing Multi-level Studies: Sampling Voters and Electoral Contexts'." Electoral Studies 21:535-536.
48. Tenn, Stephen. 2005. "An Alternative Measure of Relative Education to Explain Voter Turnout." Journal of Politics 67:271-282.
49. Tufte, Edward. 1983. The Visual Display of Quantative Information. Cheshire, CT: Graphics.
50. Tufte, Edward. 1990. Envisioning Information. Cheshire, CT: Graphics.
51. Tufte, Edward. 2003. The Cognitive Style of Powerpoint. Cheshire, CT: Graphics.
52. Tufte, Edward R. 1997. Visual Explanations: Images and Quantities, Evidence and Narrative. Cheshire, CT: Graphics.
53. Tukey, John W. 1977. Exploratory Data Analysis. Reading, MA: Addison-Wesley.
54. Venables, W. N., and B. D. Ripley. 2002. Modern Applied Statistics with S-PLUS, 4th ed. New York: Springer.
55. Verba, Sidney, Kay L. Schlozman, and Henry Brady. 1995. Voice and Equality: Civic Voluntarism in American Politics. Cambridge: Harvard University Press.
56. Wooldridge, Jeffrey M. 2002. Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press.
57. Yohai, V., W. A. Stahel, and R. H. Zamar. 1991. A Procedure for Robust Estimation and Inference in Linear Regression. In Directions in Robust Statistics and Diagnostics, Part II, eds. W. A. Stahel and S. W. Weisberg. New York: Springer-Verlag.