Abramowitz, Alan I. and Segal, Jeffrey A.. 1992. Senate Elections. Ann Arbor, MI: University of Michigan Press
Albert, A. and Anderson, J. A.. 1984. “On the Existence of Maximum Likelihood Estimates in Logistic Regression Models.” Biometrika, 71:1–10
Albert, James H. and Chib, Siddhartha. 1993. “Bayesian Analysis of Binary and Polychotomous Response Data.” Journal of the American Statistical Association, 88:669–679
Aldrich, John H. and McGinnis, Michael D.. 1989. “A Model of Party Constraints on Optimal Candidate Positions.” Mathematical and Computer Modeling, 12:437–450
Amacher, Ryan C. and Boyes, William J.. 1978. “Cycles in Senatorial Voting Behavior: Implications for the Optimal Frequency of Elections.” Public Choice, 33(3): 5–13
Andrich, David. 1988. Rasch Models for Measurement. Newbury Park, CA: Sage
Andrich, David. 1995. “Hyperbolic Cosine Latent Trait Models for Unfolding Direct Responses and Pairwise Preferences.” Applied Psychological Measurement, 19:269–290
Ansolabehere, Stephen, Snyder, James M. Jr., and Stewart, Charles III., 2001. “Candidate Positioning in U.S. House Elections.” American Journal of Political Science, 45:136–159
Austen-Smith, David. 1987. “Interest Groups, Campaign Contributions, and Probabilistic Voting.” Public Choice, 54:123–139
Austen-Smith, David and Banks, Jeffrey S.. 2000. Positive Political Theory I: Collective Preference. Ann Arbor, MI: University of Michigan Press
Austen-Smith, David and Banks, Jeffrey S.. 2004. Positive Political Theory II: Strategy and Structure. Ann Arbor, MI: University of Michigan Press
Bailey, Michael. 2002. “Comparing Presidents, Senators, and Justices, 1946–2002.” Working Paper, Georgetown University
Bailey, Michael and Chang, Kelly. 2001. “Comparing Presidents, Senators, and Justices: Inter-institutional Preference Estimation.” Journal of Law, Economics and Organization, 17:477–506
Bennett, Joseph F. and Hays, William L.. 1960. “Multidimensional Unfolding: Determining the Dimensionality of Ranked Preference Data.” Psychometrika, 25:27–43
Berndt, E. K., Hall, Bronwyn H., Hall, Robert E., and Hausman, Jerry. 1974. “Estimation and Inference in Nonlinear Structural Models.” Annals of Economic and Social Measurement, 3/4:653–666
Bernhard, William and Brian R. Sala. 2004. “The Dynamics of Senate Voting: “Ideological Shirking” and the 17th Amendment.” Paper Presented at the Annual Meetings of the Southern Political Science Association, New Orleans, LA
Bernhardt, M. Daniel and Ingberman, Daniel E.. 1985. “Candidate Reputations and the ‘Incumbency Effect’.” Journal of Public Economics, 27:47–67
Best, Alvin M., Young, Forrest W., and Hall, Robert G.. 1979 “On the Precision of a Euclidean Structure.” Psychometrika, 44:395–408
Black, Duncan. 1948 “On the Rationale of Group Decision Making.” Journal of Political Economy, 56:23–34
Black, Duncan. 1958. The Theory of Committees and Elections. Cambridge, England: Cambridge University Press
Blokland-Vogelesang, Rian. 1991. Unfolding and Group Consensus Ranking for Individual Preferences. Leiden: DWSO Press
Borg, Ingwer and Groenen, Patrick. 1997. Modern Multidimensional Scaling: Theory and Applications. New York: Springer
Brady, Henry. 1990 “Traits Versus Issues: Factor Versus Ideal-Point Analysis of Candidate Thermometer Ratings.” Political Analysis, 2:97–129
Brady, David W. and Volden, Craig. 1998. Revolving Gridlock Politics and Policy from Carter to Clinton. Boulder, CO: Westview Press
Cahoon, Lawrence S. 1975. Locating a Set of Points Using Range Information Only. Ph.D. Dissertation, Department of Statistics, Carnegie-Mellon University
Cahoon, Lawrence S., Melvin J. Hinich, and Peter C. Ordeshook. 1976. “A Multidimensional Statistical Procedure for Spatial Analysis.” Manuscript, Carnegie-Mellon University
Cahoon, Lawrence S., Hinich, Melvin J., and Ordeshook, Peter C.. 1978. “A Statistical Multidimensional Scaling Method Based on the Spatial Theory of Voting.” In Graphical Representation of Multivariate Data, edited by Wang, P. C.. New York: Academic Press
Calvert, Randall. 1985 “Robustness of the Multidimensional Voting Model: Candidates' Motivations, Uncertainty, and Convergence.” American Journal of Political Science, 29:69–95
Campbell, Angus, Converse, Philip E., Miller, Warren E., and Stokes, Donald E.. 1960. The American Voter. New York: Wiley
Carmines, Edward G. and Stimson, James A.. 1989. Issue Evolution: Race and the Transformation of American Politics. Princeton, NJ: Princeton University Press
Carroll, J. Douglas. 1972. “Individual Differences and Multidimensional Scaling.” In Multidimensional Scaling: Theory and Applications in the Behavioral Sciences, edited by Romney, A. Kimball, Shepard, Roger N., and Nerlove, Sara Beth. New York: Seminar Press
Carroll, J. Douglas. 1980. “Models and Methods for Multidimensional Analysis of Preferential Choice (or Other Dominance) Data.” In Similarity and Choice, edited by Lantermann, E. D. and Feger, H.. Bern, Switzerland: Huber
Carroll, J. Douglas and Chang, Jih-Jie. 1970. “Analysis of Individual Differences in Multidimensional Scaling via an N-Way Generalization of ‘Eckart–Young’ decomposition.” Psychometrika, 35:283–320
Chang, Jih-Jie and J. Douglas Carroll. 1969. “How to Use MDPREF, a Computer Program for Multidimensional Analysis of Preference Data.” Multidimensional Scaling Program Package of Bell Laboratories, Bell Laboratories, Murray Hill, NJ
Chater, Nick. 1999. “The Search for Simplicity: A Fundamental Cognitive Principle?” Quarterly Journal of Experimental Psychology, 52A:273–302
Cheng, Ken. 2000 “Shepard's Universal Law Supported by Honeybees in Spatial Generalization.” Psychological Science, 5:403–408
Clinton, Joshua D. 2003. “Same Principals, Same Agents, Different Institutions: Roll Call Voting in the Continental Congress, Congresses of Confederation and the U.S. Senate, 1774–1786.” Working Paper, Princeton University
Clinton, Joshua D. and Meirowitz, Adam H.. 2003 “Integrating Voting Theory and Roll-Call Analysis: A Framework.” Political Analysis, 11:381–396
Clinton, Joshua D. and Meirowitz, Adam H.. 2004 “Testing Accounts of Legislative Strategic Voting: The Compromise of 1790.” American Journal of Political Science, 48:675–689
Clinton, Joshua D., Jackman, Simon D., and Rivers, Douglas. 2004 “The Statistical Analysis of Roll Call Data: A Unified Approach.” American Political Science Review, 98:355–370
Converse, Philip E. 1964. “The Nature of Belief Systems in Mass Publics.” In Ideology and Discontent, edited by Apter, David E.. New York: Free Press
Coombs, Clyde. 1950 “Psychological Scaling Without a Unit of Measurement.” Psychological Review, 57:148–158
Coombs, Clyde. 1964. A Theory of Data. New York: Wiley
Courant, Richard and Hilbert, David. 1937. Methods of Mathematical Physics: Volume I. Berlin: Julius Springer
Cox, Gary W. 1999 “The Empirical Content of Rational Choice Theory: A Reply to Green and Shapiro.” Journal of Theoretical Politics, 11:147–169
Cox, Gary W. 2004. “Lies, Damned Lies and Rational Choice Analysis.” In Problems and Methods in the Study of Politics, edited by Shapiro, Ian, Smith, Rogers M., and Masoud, Tarek E.. Cambridge: Cambridge University Press
Cox, Gary W. and Katz, Jonathan N.. 2002. Elbridge Gerry's Salamander: The Electoral Consequences of the Reapportionment Revolution. New York: Cambridge University Press
Cox, Gary W. and McCubbins, Mathew D.. 1993. Legislative Leviathan. Berkeley, CA: University of California Press
Cox, Gary W. and Mathew D. McCubbins. 2004. “Setting the Agenda: Responsible Party Government in the US House of Representatives.” Manuscript, University of California, San Diego
Cox, Gary W. and Poole, Keith T.. 2002a. “On Measuring Partisanship in Roll Call Voting: The U.S. House of Representatives, 1877–1999.” American Journal of Political Science, 46:477–489
Cox, Gary W. and Keith T. Poole. 2002b. “Measuring Group Differences in Roll Call Voting.” Manuscript, University of Houston
Cox, Trevor F. and Michael, A. A. Cox. 2001. Multidimensional Scaling. New York: Chapman and Hall/CRC
Cragg, John G. and Donald, Stephen G.. 1997 “Inferring the Rank of a Matrix.” Journal of Econometrics, 76:223–250
D'Andrade, Roy G., Quinn, Naomi R., Nerlove, Sara Beth, and Romney, A. Kimball. 1972. “Categories of Disease in American-English and Mexican-Spanish.” In Multidimensional Scaling: Theory and Applications in the Behavioral Sciences, edited by Romney, A. Kimball, Shepard, Roger N., and Nerlove, Sara Beth. New York: Seminar Press
Davis, Otto A. and Hinich, Melvin J.. 1966. “A Mathematical Model of Policy Formation in a Democratic Society.” In Mathematical Applications in Political Science, II, edited by Bernd, J. L.. Dallas: SMU Press, pp. 175–208
Davis, Otto A. and Hinich, Melvin J.. 1967. “Some Results Related to a Mathematical Model of Policy Formation in a Democratic Society.” In Mathematical Applications in Political Science III, edited by Bernd, J.. Charlottesville, VA: University of Virginia Press, pp. 14–38
Davis, Otto A., Hinich, Melvin J., and Ordeshook, Peter C.. 1970 “An Expository Development of a Mathematical Model of the Electoral Process.” American Political Science Review, 64:426–448
DeSarbo, Wayne S. and Cho, Jaewun 1989 “A Stochastic Multidimensional Scaling Vector Threshold Model for the Spatial Representation of ‘Pick Any/N’ Data.” Psychometrika, 54:105–129
DeSarbo, Wayne S. and Hoffman, Donna L.. 1987 “Constructing MDS Joint Spaces from Binary Choice Data: A Multidimensional Unfolding Threshold Model for Marketing Research.” Journal of Marketing Research, 24:40–54
Dhrymes, Phoebus J. 1978. Introductory Econometrics. New York: Springer-Verlag
Diermeier, Daniel. 1996. “Rational Choice and the Role of Theory in Political Science.” In The Rational Choice Controversy, edited by Friedman, Jeffrey. New Haven: Yale University Press
Downs, Anthony. 1957. An Economic Theory of Democracy. New York: Harper & Row
Eckart, Carl and Young, Gale. 1936 “The Approximation of One Matrix by Another of Lower Rank.” Psychometrika, 1: 211–218
Efron, Bradley. 1979 “Bootstrap Methods: Another Look at the Jackknife.” Annals of Statistics, 7:1–26
Efron, Bradley and Tibshirani, Robert J.. 1993. An Introduction to the Bootstrap. New York: Chapman & Hall
Ekman, Gosta. 1954 “Dimensions of Color Vision.” Journal of Psychology, 38:467–474
Ellenberg, Jordan. 2001. “Growing Apart: The Mathematical Evidence for Congress' Growing Polarization.” Slate, 26 December 2001
Elling, Richard C. 1982. “Ideological Change in the U.S. Senate: Time and Electoral Responsiveness.” Legislative Studies Quarterly, 7(1):75–92
Embretson, Susan and Reise, Steven P.. 2000. Item Response Theory for Psychologists. Mahwah, NJ: Lawrence Erlbaum
Enelow, James M. and Hinich, Melvin. 1984. The Spatial Theory of Voting. New York: Cambridge University Press
Ennis, Daniel M. 1988a. “Confusable and Discriminable Stimuli: Comment on Nosofsky (1986) and Shepard (1986).” Journal of Experimental Psychology: General, 117:408–411
Ennis, Daniel M. 1988b. “Technical Comments: Toward a Universal Law of Generalization.” Science, 242:944
Ennis, Daniel M., Palen, Joseph J., and Mullen, Kenneth. 1988 “A Multidimensional Stochastic Theory of Similarity.” Journal of Mathematical Psychology, 32:449–465
Feldman, Stanley and Zaller, John. 1992 “Political Culture of Ambivalence: Ideological Responses to the Welfare State.” American Journal of Political Science, 36:268–307
Ferejohn, John and Satz, Debra. 1996. “Unification, Universalism, and Rational Choice Theory.” In The Rational Choice Controversy, edited by Friedman, Jeffrey. New Haven: Yale University Press
Ferejohn, John and Debra Satz. 2000. “Rational Choice Theory and Mental Models.” Working Paper, Stanford University
Feyerabend, Paul K. 1975. Against Method. London: New Left Press
Fiorina, Morris P. 1996. “Rational Choice, Empirical Contributions, and the Scientific Enterprise.” In The Rational Choice Controversy, edited by Friedman, Jeffrey. New Haven: Yale University Press
Firth, David and Arthur Spirling. 2003. “Divisions of the United Kingdom House of Commons, from 1992 to 2003 and Beyond.” Working Paper, Nuffield College, Oxford
Fischer, Gerhard H. and Molenaar, Ivo W.. 1995. Rasch Models: Foundations, Recent Developments, and Applications. New York: Springer-Verlag
Garner, Wendell R. 1974. The Processing of Information and Structure. New York: Wiley
Gelfand, Alan E. and Smith, Adrian F. M.. 1990 “Sampling-Based Approaches to Calculating Marginal Densities.” Journal of the American Statistical Association, 85:398–409
Gelman, Andrew. 1992 “Iterative and Non-iterative Simulation Algorithms.” Computing Science and Statistics, 24:433–438
Gelman, Andrew, Carlin, John B., Stern, Hal S., and Rubin, Donald B.. 2000. Bayesian Data Analysis. New York: Chapman and Hall/CRC
Geman, Donald and Geman, Stuart. 1984 “Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 6:721–741
Gerber, Elizabeth R. and Jeffrey B. Lewis. 2002. “Beyond the Median: Voter Preferences, District Heterogeneity, and Representation.” Working Paper, UCLA
Gifi, Albert. 1990. Nonlinear Multivariate Analysis. Chicester, England: Wiley
Gill, Jeff. 2002. Bayesian Methods: A Social and Behavioral Sciences Approach. Boca Raton, FL: Chapman & Hall/CRC
Gleason, Terry C. and Staelin, Richard. 1975 “A Proposal for Handling Missing Data.” Psychometrika, 40:229–252
Gluck, Mark A. 1991 “Stimulus Generalization and Representation in Adaptive Network Models of Category Learning.” Psychological Science, 2:50–55
Gombrich, Ernst Hans. 1978. The Story of Art (13th edition). New York: Phaidon Press
Goodman, Craig. 2004. “Ideological Constraint in Congress: Experiments in Roll Call Voting.” Ph.D. Dissertation, University of Houston
Green, Donald P. and Shapiro, Ian. 1994. Pathologies of Rational Choice Theory: A Critique of Applications in Political Science. New Haven: Yale University Press
Greene, William H. 1993. Econometric Analysis. Englewood Cliffs, NJ: Prentice Hall
Guttman, Louis L. 1944 “A Basis for Scaling Qualitative Data.” American Sociological Review, 9:139–150
Guttman, Louis L. 1954. “A New Approach to Factor Analysis.” In Mathematical Thinking in the Social Sciences, edited by Lazarsfeld, P. F.. Glencoe, IL: Free Press
Haberman, Shelby J. 1977 “Maximum Likelihood Estimation in Exponential Response Models.” Annals of Statistics, 5:815–841
Hammond, Thomas H. and Fraser, Jane M.. 1983 “Baselines for Evaluating Explanations of Coalition Behavior in Congress.” Journal of Politics, 45:635–656
Harrington, Joseph. 1992 “The Role of Party Reputation in the Formation of Policy.” Journal of Public Economics, 49:107–121
Hastings, W. Keith. 1970 “Monte Carlo Sampling Methods Using Markov Chains and Their Applications.” Biometrika, 54:97–109
Heckman, James J. and Snyder, James M.. 1997 “Linear Probability Models of the Demand for Attributes with an Empirical Application to Estimating the Preferences of Legislators.” Rand Journal of Economics, 28:142–189
Heiser, Willem J. 1981. Unfolding Analysis of Proximity Data. Leiden: University of Leiden
Hinich, Melvin J. and Munger, Michael. 1994. Ideology and the Theory of Political Choice. Ann Arbor, MI: University of Michigan Press
Hinich, Melvin J. and Munger, Michael. 1997. Analytical Politics. New York: Cambridge University Press
Hinich, Melvin J. and Pollard, Walker. 1981 “A New Approach to the Spatial Theory of Electoral Competition.” American Journal of Political Science, 25:323–341
Hinich, Melvin J. and Roll, Richard. 1981 “Measuring Nonstationarity in the Parameters of the Market Model.” Research in Finance, 3:1–51
Hitchcock, David B. 2003 “A History of the Metropolis–Hastings Algorithm.” The American Statistician, 57:254–257
Hoadley, John F. 1980 “The Emergence of Political Parties in Congress, 1789–1803.” American Political Science Review, 74:757–779
Hoffer, Eric. 1951. The True Believer: Thoughts on the Nature of Mass Movements. New York: Harper & Row (Perennial Library Edition, 1966, 1989)
Hojo, Hiroshi. 1994 “A New Method for Multidimensional Unfolding.” Behaviormetrika, 21:131–147
Horst, Paul. 1963. Matrix Algebra for Social Scientists. New York: Holt, Rinehart and Winston
Hotelling, Harold. 1929 “Stability in Competition.” The Economic Journal, 39:41–57
Jackman, Simon D. 2000a. “Estimation and Inference via Bayesian Simulation: An Introduction to Markov Chain Monte Carlo.” American Journal of Political Science, 44:375–404
Jackman, Simon D. 2000b. “Estimation and Inference are ‘Missing Data’ Problems: Unifying Social Science Statistics via Bayesian Simulation.” Political Analysis, 8:307–332
Jackman, Simon D. 2001 “Multidimensional Analysis of Roll Call Data via Bayesian Simulation: Identification, Estimation, Inference and Model Checking.” Political Analysis, 9:227–241
Jenkins, Jeffery A. and Munger, Michael C.. 2003. “Investigating the Incidence of Killer Amendments in Congress.” Journal of Politics, 65:498–517
Jenkins, Jeffery A. and Sala, Brian R.. 1998. “The Spatial Theory of Voting and the Presidential Election of 1824.” American Journal of Political Science, 42:1157–1179
Johnson, Richard M. 1963 “On a Theorem Stated by Eckart and Young.” Psychometrika, 28:259–263
Keller, Joseph B. 1962 “Factorization of Matrices by Least-Squares.” Biometrika, 49:239–242
Kiewiet, D. Roderick and McCubbins, Mathew D.. 1991. The Logic of Delegation: Congressional Parties and the Appropriation Process. Chicago: University of Chicago Press
King, Gary, Honaker, James, Joseph, Anne, and Scheve, Kenneth. 2001 “Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation.” American Political Science Review, 95:49–69
King, David. 1998. “Party Competition and Polarization in American Politics.” Paper Prepared for the 1998 Annual Meeting of the Midwest Political Science Association
Krehbiel, Keith. 1993. “Where's the Party?” British Journal of Political Science, 23(1):235–266
Krehbiel, Keith. 1998. Pivotal Politics: A Theory of U.S. Lawmaking. Chicago: University of Chicago Press
Kruskal, Joseph B. 1964a. “Multidimensional Scaling by Optimizing a Goodness of Fit to a Nonmetric Hypothesis.” Psychometrika, 29:1–27
Kruskal, Joseph B. 1964b. “Nonmetric Multidimensional Scaling: A Numerical Method.” Psychometrika, 29:115–129
Kruskal, Joseph B. and Wish, Myron. 1978. Multidimensional Scaling. Beverly Hills, CA: Sage
Kruskal, Joseph B., Forrest W. Young, and Judith B. Seery. 1973. “How to Use KYST: A Very Flexible Program to Do Multidimensional Scaling and Unfolding.” Multidimensional Scaling Program Package of Bell Laboratories, Bell Laboratories, Murray Hill, NJ
Kuhn, Thomas S. 1962/1996. The Structure of Scientific Revolutions (3rd edition). Chicago: University of Chicago Press
Ladha, Krishna K. 1991 “A Spatial Model of Legislative Voting with Perceptual Error.” Public Choice, 68:151–174
Laudan, Larry. 1984. Science and Values: The Aims of Science and Their Role in Scientific Debate. Berkeley, CA: University of California Press
Laudan, Larry. 1996. Beyond Positivism and Relativism: Theory, Method and Evidence. Boulder, CO: Westview Press
Lawson, Charles L. and Hanson, Richard J.. 1974. Solving Least Squares Problems. Englewood Cliffs, NJ: Prentice-Hall
Lewis, Jeffrey B. and King, Gary. 1999 “No Evidence on Directional vs. Proximity Voting.” Political Analysis, 8:21–33
Lewis, Jeffrey B. and Poole, Keith T.. 2004. “Measuring Bias and Uncertainty in Ideal Point Estimates via the Parametric Bootstrap.” Political Analysis, 12:105–127
Livingstone, Margaret S. 2002. Vision and Art: The Biology of Seeing. New York: Harry N. Abrams
Londregan, John B. 2000a. “Estimating Legislators' Preferred Points.” Political Analysis, 8(1):35–56
Londregan, John B. 2000b. Legislative Institutions and Ideology in Chile. New York: Cambridge University Press
Londregan, John B. and Snyder, James M. Jr. 1994 “Comparing Committee and Floor Preferences.” Legislative Studies Quarterly, 19:233–266
Loomis, Michael. 1995. “Constituent Influences Outside the Spatial Structure of Legislative Voting.” Doctoral Dissertation, Carnegie-Mellon University
Lord, Frederic M. 1983 “Unbiased Estimates of Ability Parameters, of Their Variance, and of Their Parallel Forms Reliability.” Psychometrika, 48:477–482
Lott, John R. Jr. and Bronars, Stephen G.. 1993 “Time Series Evidence on Shirking in the U.S. House of Representatives.” Public Choice, 76:125–150
Lublin, David (1997). The Paradox of Representation: Racial Gerrymandering and Minority Representation in Congress. Princeton, NJ: Princeton University Press
Macdonald, Stuart, Rabinowitz, George, and Listhaug, Ola. 2001 “Sophistry versus Science: On Further Efforts to Rehabilitate the Proximity Model.” The Journal of Politics, 63:482–500
MacRae, Duncan Jr. 1958. Dimensions of Congressional Voting. Berkeley: University of California Press
MacRae, Duncan Jr. 1970. Issues and Parties in Legislative Voting. New York: Harper and Row
McCarty, Nolan M. 1997. “Presidential Reputation and the Veto.” Economics and Politics, 9(1):1–26
McCarty, Nolan M. 2000. “Proposal Rights, Veto Rights, and Political Bargaining.” American Journal of Political Science, 44(3):506–522
McCarty, Nolan M. and Poole, Keith T.. 1995. “Veto Power and Legislation: An Empirical Analysis of Executive and Legislative Bargaining from 1961–1986.” Journal of Law, Economics, and Organization, 11:
McCarty, Nolan M., Poole, Keith T., and Rosenthal, Howard. 1997. Income Redistribution and the Realignment of American Politics. Washington, DC: AEI Press
McCarty, Nolan M., Poole, Keith T., and Rosenthal, Howard. 2001 “The Hunt for Party Discipline in Congress.” American Political Science Review, 95:673–687
McCarty, Nolan M., Keith T. Poole, and Howard Rosenthal. 2003. “Political Polarization and Income Inequality.” Manuscript, University of Houston
McCarty, Nolan M. and Rothenberg, Lawrence S. (1996). “Commitment and the Campaign Contribution Contract.” American Journal of Political Science, 40:872–904
McCarty, Nolan M. and Razaghian, Rose. 1999. “Advice and Consent: Senate Response to Executive Branch Nominations 1885–1996.” American Journal of Political Science, 43(3):1122–1143
McFadden, Daniel. 1976 “Quantal Choice Analysis: A Survey.” Annals of Economic and Social Measurement, 5:363–390
Manski, Charles F. 1975 “Maximum Score Estimation of the Stochastic Utility Model of Choice.” Journal of Econometrics, 3:205–228
Manski, Charles F. 1985 “Semiparametric Analysis of Discrete Response: Asymptotic Properties of the Maximum Score Estimator.” Journal of Econometrics, 27:313–333
Manski, Charles F. and Thompson, T. Scott. 1986 “Operational Characteristics of Maximum Score Estimation.” Journal of Econometrics, 32:85–108
Martin, Andrew D. 2003 “Bayesian Inference for Heterogeneous Event Counts.” Sociological Methods and Research, 32:30–63
Martin, Andrew D. and Kevin M. Quinn. 2001. “Bayesian Learning about Ideal Points of U. S. Supreme Court Justices, 1953–1999.” Working Paper, Washington University, St. Louis
Martin, Andrew D. and Quinn, Kevin M.. 2002 “Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999.” Political Analysis, 10:134–153
Merrill, Samuel III and Grofman, Bernard. 1999. A Unified Theory of Voting: Directional and Proximity Models. New York: Cambridge University Press
Metropolis, Nicholas C. and Ulam, Stanislaw. 1949 “The Monte Carlo Method.” Journal of the American Statistical Association, 44:335–341
Miller, George A. 1956 “The Magical Number Seven, Plus Minus One: Some Limits on our Capacity for Processing Information.” Psychological Review, 63:81–97
Morgenstern, Scott. 2004. Patterns of Legislative Politics: Roll-Call Voting in Latin America and the United States. New York: Cambridge University Press
Morrison, Richard J. 1972 “A Statistical Model for Legislative Roll Call Analysis.” Journal of Mathematical Sociology, 2:235–247
Morton, Rebecca B. 1987 “A Group Majority Voting Model of Public Good Provision.” Social Choice and Welfare, 4:117–131
Neyman, Jerzy and Scott, Elizabeth L.. 1948 “Consistent Estimates Based on Partially Consistent Observations.” Econometrica, 16:1–32
Nie, Norman H., Verba, Sidney, and Petrocik, John R.. 1979. The Changing American Voter. New York: Replica Books
Nokken, Timothy P. 2000 “Dynamics of Congressional Loyalty: Party Defection and Roll Call Behavior, 1947–1997.” Legislative Studies Quarterly, 25:417–444
Nokken, Timothy P. and Keith T. Poole. 2004. “Congressional Party Defection in American History.” Legislative Studies Quarterly, forthcoming
Nosofsky, Robert M. 1984 “Choice, Similarity, and the Context Theory of Classification.” Journal of Experimental Psychology: Learning, Memory and Cognition, 10:104–114
Nosofsky, Robert M. 1986 “Attention, Similarity, and the Identification–Categorization Relationship.” Journal of Experimental Psychology: General, 115:39–57
Nosofsky, Robert M. 1988 “On Exemplar-Based Exemplar Representations: Reply to Ennis (1988).” Journal of Experimental Psychology: General, 117:412–414
Nosofsky, Robert M. 1991 “Stimulus Bias, Asymmetric Similarity, and Classification.” Cognitive Psychology, 23:94–140
Nosofsky, Robert M. 1992 “Similarity Scaling and Cognitive Process Models.” Annual Review of Psychology, 43:25–53
Oppenheimer, Bruce I. 2000. “The Roll Call Behavior of Members Who Switch Parties, 1900–99: The Effect of Variations in Party Strength.” Paper Presented at the Annual Meeting of the Midwest Political Science Association, Chicago
Ordeshook, Peter C. 1976. “The Spatial Theory of Elections: A Review and a Critique.” In Party Identification and Beyond, edited by Budge, Ian, Crewe, Ivor, and Farlie, Dennis. New York: Wiley
Ordeshook, Peter C. 1996. “Engineering or Science: What is the Study of Politics?” In The Rational Choice Controversy, edited by Friedman, Jeffrey. New Haven: Yale University Press
Palfrey, Thomas R. 1984 “Spatial Equilibrium with Entry.” Review of Economic Studies, 51:139–157
Perlstein, Rick. 2001. Before the Storm: Barry Goldwater and the Unmaking of the American Consensus. New York: Hill and Wang
Platt, Glenn, Poole, Keith T., and Rosenthal, Howard. 1992 “Directional and Euclidean Theories of Voting Behavior: A Legislative Comparison.” Legislative Studies Quarterly, 17:561–572
Poole, Keith T. 1981. “Dimensions of Interest Group Evaluations of the U.S. Senate, 1969–1978.” American Journal of Political Science, 25(1):49–67
Poole, Keith T. 1984 “Least Squares Metric, Unidimensional Unfolding.” Psychometrika, 49:311–323
Poole, Keith T. 1988 “Recent Developments in Analytical Models of Voting in the U.S. Congress.” Legislative Studies Quarterly, 13:117–133
Poole, Keith T. 1990 “Least Squares Metric, Unidimensional Scaling of Multivariate Linear Models.” Psychometrika, 55:123–149
Poole, Keith T. 1997. “Non-parametric Analysis of Binary Choice Data.” Manuscript, University of Houston
Poole, Keith T. 1998 “Recovering a Basic Space From a Set of Issue Scales.” American Journal of Political Science, 42:954–993
Poole, Keith T. 1999 “NOMINATE: A Short Intellectual History.” The Political Methodologist, 9:1–6
Poole, Keith T. 2000a. “Non-parametric Unfolding of Binary Choice Data.” Political Analysis, 8(3):211–237
Poole, Keith T. 2000b. “Appendix to Non-parametric Unfolding of Binary Choice Data.” Manuscript, University of Houston
Poole, Keith T. 2001. “The Geometry of Multidimensional Quadratic Utility in Models of Parliamentary Roll Call Voting.” Political Analysis, 9(3):211–226
Poole, Keith T. 2003. “Changing Minds? Not in Congress!” Manuscript, University of Houston
Poole, Keith T. and Romer, Thomas. 1993 “Ideology, Shirking and Representation.” Public Choice, 77:185–196
Poole, Keith T. and Rosenthal, Howard. 1984a. “U.S. Presidential Elections 1968–1980: A Spatial Analysis.” American Journal of Political Science, 28:282–312
Poole, Keith T. and Rosenthal, Howard. 1984b. “The Polarization of American Politics.” Journal of Politics, 46:1061–1079
Poole, Keith T. and Rosenthal, Howard. 1985 “A Spatial Model for Legislative Roll Call Analysis.” American Journal of Political Science, 29:357–384
Poole, Keith T. and Rosenthal, Howard. 1987 “Analysis of Congressional Coalition Patterns: A Unidimensional Spatial Model.” Legislative Studies Quarterly, 12:55–75
Poole, Keith T. and Rosenthal, Howard. 1991. “Patterns of Congressional Voting.” American Journal of Political Science, 35:228–278
Poole, Keith T. and Rosenthal, Howard. 1997. Congress: A Political–Economic History of Roll Call Voting. New York: Oxford University Press
Poole, Keith T. and Rosenthal, Howard. 2001. “D-NOMINATE After 10 Years: A Comparative Update to Congress: A Political–Economic History of Roll Call Voting.” Legislative Studies Quarterly, 26:5–26
Poole, Keith T., Sowell, Fallaw B., and Spear, Stephen E.. 1992 “Evaluating Dimensionality in Spatial Voting Models.” Mathematical and Computer Modeling, 16: 85–101
Quinn, Kevin M. 2004 “Bayesian Factor Analysis for Mixed Ordinal and Continuous Responses.” Political Analysis, 12:338–353
Quinn, Kevin M. and Martin, Andrew D.. 2002 “An Integrated Computational Model of Multiparty Electoral Competition.” Statistical Science, 17:405–419
Quinn, Kevin M., Martin, Andrew D., and Whitford, Andrew B.. 1999 “Voter Choice in Multi-party Democracies: A Test of Competing Theories and Models.” American Journal of Political Science, 43:1231–1247
Rabinowitz, George. 1976 “A Procedure for Ordering Object Pairs Consistent with the Multidimensional Unfolding Model.” Psychometrika, 45:349–373
Rabinowitz, George and Macdonald, Stuart. 1989 “A Directional Theory of Issue Voting.” American Political Science Review, 83:93–121
Rasch, Georg. 1961. “On General Laws and the Meaning of Measurement in Psychology.” In Proceedings of the IV Berkeley Symposium on Mathematical Statistics and Probability, vol. 4, pp. 321–333
Riker, William H. 1982/1988. Liberalism Against Populism: A Confrontation Between the Theory of Democracy and the Theory of Social Choice. Prospect Heights, IL: Waveland Press
Rivers, Douglas. 2004. “Identification of Multidimensional Spatial Voting Models.” Manuscript, Stanford University
Romano, Roberta. 1997 “The Political Dynamics of Derivative Securities Regulation.” Yale Journal on Regulation, 14:279–406
Rosenberg, Seymour, Nelson, Carnot, and Vivekananthan, P. S.. 1968 “A Multidimensional Approach to the Structure of Personality Impressions.” Journal of Personality and Social Psychology, 9:283–294
Rosenthal, Howard and Voeten, Erik. 2004. “Analyzing Roll Calls with Perfect Spatial Voting: France 1946–1958.” American Journal of Political Science, 48:620–632
Ross, John and Cliff, Norman. 1964 “A Generalization of the Interpoint Distance Model.” Psychometrika, 29:167–176
Rothenberg, Lawrence S. and Sanders, Mitchell S.. 2000 “Severing the Electoral Connection: Shirking in the Contemporary Congress.” American Journal of Political Science, 44:316–325
Rothkopf, Ernst Z. 1957 “A Measure of Stimulus Similarity and Errors in Some Paired-Associate Learning Tasks.” Journal of Experimental Psychology, 53:94–101
Ruger, Theodore W., Kim, Pauline T., Martin, Andrew D., and Quinn, Kevin M.. 2004. “The Supreme Court Forecasting Project: Legal and Political Science Approaches to Predicting Supreme Court Decision-Making.” Columbia Law Review, 104:1150–1209
Schofield, Norman. 1996. “Rational Choice Theory and Political Economy.” In The Rational Choice Controversy, edited by Friedman, Jeffrey. New Haven: Yale University Press
Schofield, Norman, Martin, Andrew D., Quinn, Kevin M., and Whitford, Andrew B.. 1998 “Multiparty Electoral Competition in the Netherlands and Germany: A Model Based on Multinomial Probit.” Public Choice, 97:257–293
Schonemann, Peter H. 1966 “A Generalized Solution of the Orthogonal Procrustes Problem.” Psychometrika, 31:1–10
Schonemann, Peter H. 1970 “Fitting a Simplex Symmetrically.” Psychometrika, 35: 1–21
Schonemann, Peter H. and Carroll, Robert M.. 1970 “Fitting One Matrix to Another Under Choice of a Central Dilation and Rigid Motion.” Psychometrika, 35:245–256
Schonhardt-Bailey, Cheryl. 2003. “Ideology, Party and Interests in the British Parliament of 1841–1847,” British Journal of Political Science, 33:581–605
Schonhardt-Bailey, Cheryl. 2004. Interests, Ideas and Institutions: Repeal of the Corn Laws Re-told. Manuscript, London School of Economics and Political Science
Sen, Amartya K. 1970. Collective Choice and Social Welfare. San Francisco, CA: Holden-Day
Shepard, Roger N. 1962a. “The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function. I.” Psychometrika, 27:125–139
Shepard, Roger N. 1962b. “The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function. II.” Psychometrika, 27: 219–246
Shepard, Roger N. 1963 “Analysis of Proximities as a Technique for the Study of Information Processing in Man.” Human Factors, 5:33–48
Shepard, Roger N. 1986 “Discrimination and Generalization in Identification and Classification: Comment on Nosofsky.” Journal of Experimental Psychology: General, 115:58–61
Shepard, Roger N. 1987 “Toward a Universal Law of Generalization for Psychological Science.” Science, 237:1317–1323
Shepard, Roger N. 1988a. “Technical Comments: Toward a Universal Law of Generalization.” Science, 242:944
Shepard, Roger N. 1988b. “Time and Distance in Generalization and Discrimination: Reply to Ennis (1988).” Journal of Experimental Psychology: General, 117:415–416
Shepard, Roger N. 1991. “Integrality Versus Separability of Stimulus Dimensions: Evolution of the Distinction and a Proposed Theoretical Basis.” In Perception of Structure, edited by Pomerantz, James R. and Lockhead, Gregory. Washington, DC: APA
Shepsle, Kenneth A. 1996. “Statistical Political Philosophy and Positive Political Theory.” In The Rational Choice Controversy, edited by Friedman, Jeffrey. New Haven: Yale University Press
Shipan, Charles R. and Moraski, Bryon. 1999 “The Politics of Supreme Court Nominations: A Theory of Institutional Constraints and Choices.” American Journal of Political Science, 43:1069–1095
Silvapulle, Mervyn J. 1981. “On the Existence of Maximum Likelihood Estimators for the Binomial Response Models.” Journal of the Royal Statistical Society Series B, 43(3):310–313
Simmons, George F. 1972. Differential Equations with Applications and Historical Notes. New York: McGraw-Hill
Smithies, Arthur. 1941 “Optimum Location in Spatial Competition.” The Journal of Political Economy, 49:423–439
Snyder, James M. Jr. 1992 “Artificial Extremism in Interest Group Ratings.” Legislative Studies Quarterly, 17:319–345
Snyder, James M. Jr., and Groseclose, Timothy. 2000. “Estimating Party Influence in Congressional Roll-Call Voting.” American Journal of Political Science, 44(2):193–211
Sowell, Thomas. 1987. A Conflict of Visions: Ideological Origins of Political Struggles. New York: Quill
Spector, David. 2000 “Rational Debate and One-Dimensional Conflict.” Quarterly Journal of Economics, 115:181–200
Stratmann, Thomas. 2000 “Congressional Voting Over Legislative Careers: Shifting Positions and Changing Constraints.” The American Political Science Review, 94:665–676
Tajfel, Henri. 1981. Human Groups and Social Categories. London: Cambridge University Press
Thomas, Martin. 1985. “Election Proximity and Senatorial Roll Call Voting.” American Journal of Political Science, 29(1):96–111
Torgerson, Warren S. 1952 “Multidimensional Scaling: I. Theory and Method.” Psychometrika, 17:401–419
Treier, Shawn and Simon Jackman. 2003. “Democracy as a Latent Variable.” Manuscript, Stanford University
Tucker, Ledyard R. 1960. “Intra-individual and Inter-individual Multidimensionality.” In Psychological Scaling: Theory and Applications, edited by Gulliksen, Harold and Messick, Samuel. New York: Wiley
Tversky, Amos. 1977 “Features of Similarity.” Psychological Review, 84:327–352
Voeten, Erik. 2000 “Clashes in the Assembly.” International Organization, 54:185–215
Voeten, Erik. 2001 “Outside Options and the Logic of Security Council Action.” The American Political Science Review, 95:845–858
Voeten, Erik. 2004. “Resisting the Lonely Superpower: Responses of States in the U.N. to U.S. Dominance.” Journal of Politics, 66:729–754
Wang, Ming-Mei, Schonemann, Peter H., and Rusk, Jerrold G.. 1975 “A Conjugate Gradient Algorithm for the Multidimensional Analysis of Preference Data.” Multivariate Behavioral Research, 10:45–80
Weisberg, Herbert F. 1968. Dimensional Analysis of Legislative Roll Calls. Doctoral Dissertation, University of Michigan
Weisberg, Herbert F. 1978 “Evaluating Theories of Congressional Roll-Call Voting.” American Journal of Political Science, 22:551–577
Weisberg, Herbert F. 1983 “Alternative Baseline Models and Their Implications for Understanding Coalition Behavior in Congress.” Journal of Politics, 45:657–671
Weisberg, Herbert F. and Rusk, Jerrold G.. 1970 “Dimensions of Candidate Evaluation.” American Political Science Review, 64:1167–1185
Wills, Garry. 1982. The Federalist Papers by Alexander Hamilton, James Madison, and John Jay. New York: Bantam Books
Wish, Myron. 1971. “Individual Differences in Perceptions and Preferences Among Nations.” In Attitude Research Reaches New Heights, edited by King, Charles W. and Tigert, Douglas J.. Chicago: American Marketing Association
Wish, Myron and Carroll, J. Douglas. 1974. “Applications of Individual Differences Scaling to Studies of Human Perception and Judgment.” In Handbook of Perception, vol. 2, edited by Carterette, Edward C. and Friedman, Morton P.. New York: Academic Press
Wittman, Donald A. 1977 “Candidates with Policy Preferences: A Dynamic Model.” Journal of Economic Theory, 14:180–189
Wittman, Donald A. 1983. “Candidate Motivations: A Synthesis of Alternatives.” American Political Science Review, 77:142–157
Wright, Gerald C. and Berkman, Michael B.. 1986. “Candidates and Policy in United States Senate Elections.” American Political Science Review, 80(2):567–588
Wright, Gerald C. and Schaffner, Brian F.. 2002 “The Influence of Party: Evidence from the State Legislatures.” American Political Science Review, 96:367–379
Young, Gale and Householder, A. S.. 1938 “Discussion of a Set of Points in Terms of their Mutual Distances.” Psychometrika, 3:19–22