On Political Methodology

“Politimetrics” (Gurr 1972), “polimetrics,” (Alker 1975), “politometrics” (Hilton 1976), “political arithmetic” (Petty [1672] 1971), “quantitative Political Science (QPS),” “governmetrics,” “posopolitics” (Papayanopoulos 1973), “political science statistics” (Rai and Blydenburgh 1973), “political statistics” (Rice 1926). These are some of the names that scholars have used to describe the field we now call “political methodology.”1 The history of political methodology has been quite fragmented until recently, as reflected by this patchwork of names. The field has begun to coalesce during the past decade; we are developing persistent organizations, a growing body of scholarly literature, and an emerging consensus about important problems that need to be solved.

[1]  Andrew Harvey,et al.  The econometric analysis of time series , 1991 .

[2]  G. King,et al.  Constituency Service and Incumbency Advantage , 1991, British Journal of Political Science.

[3]  A. Gelman,et al.  Estimating Incumbency Advantage Without Bias , 1990 .

[4]  B. Grofman,et al.  Measuring Compactness and the Role of a Compactness Standard in a Test for Partisan and Racial Gerrymandering , 1990, The Journal of Politics.

[5]  Terry E. Dielman,et al.  Pooled cross-sectional and time series data analysis , 1990 .

[6]  N. Cressie,et al.  Spatial Modeling of Regional Variables , 1993 .

[7]  D. Kendall A Survey of the Statistical Theory of Shape , 1989 .

[8]  Anthony S. Bryk,et al.  The Effects of High School Organization on Dropping Out: An Exploratory Investigation , 1989 .

[9]  L. Anselin,et al.  Spatial Econometrics: Methods and Models , 1988 .

[10]  D. Rivers Heterogeneity in Models of Electoral Choice , 1988 .

[11]  Gary King,et al.  Statistical Models for Political Science Event Counts: Bias in Conventional Procedures and Evidence for the Exponential Poisson Regression Model , 1988 .

[12]  S. Raudenbush Educational Applications of Hierarchical Linear Models: A Review , 1988 .

[13]  Robert Browning,et al.  Democratic Representation and Partisan Bias in Congressional Elections , 1987, American Political Science Review.

[14]  Stephen M. Stigler,et al.  The History of Statistics: The Measurement of Uncertainty before 1900 by Stephen M. Stigler (review) , 1986, Technology and Culture.

[15]  Gary King,et al.  How Not to Lie with Statistics: Avoiding Common Mistakes in Quantitative Political Science , 1986 .

[16]  Clive Payne,et al.  Aggregate Data, Ecological Regression, and Voting Transitions , 1986 .

[17]  J. Brueckner,et al.  A switching regression analysis of urban population densities: Preliminary results , 1986, Journal of urban economics.

[18]  James A. Stimson Regression in Space and Time: A Statistical Essay , 1985 .

[19]  Malcolm M. Dow,et al.  A Biparametric Approach to Network Autocorrelation , 1984 .

[20]  V. O. Key,et al.  Southern Politics In State and Nation , 1984 .

[21]  Nathaniel L. Beck,et al.  Time-Varying Parameter Regression Models , 1983 .

[22]  John R. Freeman Granger Causality and the Time Series Analysis of Political Relationships , 1983 .

[23]  F. Stetzer,et al.  Specifying Weights in Spatial Forecasting Models: The Results of Some Experiments , 1982 .

[24]  Patrick Doreian,et al.  Maximum Likelihood Methods for Linear Models , 1982 .

[25]  P. Burridge,et al.  Testing for a Common Factor in a Spatial Autoregression Model , 1981 .

[26]  Eric Renshaw,et al.  Spatial Processes: Models and Applications , 1981 .

[27]  P. Doreian Linear Models with Spatially Distributed Data , 1980 .

[28]  Andries S. Brandsma,et al.  A Biparametric Approach to Spatial Autocorrelation , 1979 .

[29]  David F. Hendry,et al.  Serial Correlation as a Convenient Simplification, not a Nuisance: A Comment on a Study of the Demand for Money by the Bank of England. , 1978 .

[30]  Herbert M. Kritzer,et al.  An Introduction to Multivariate Contingency Table Analysis , 1978 .

[31]  Christopher H. Achen Measuring Representation: Perils of the Correlation Coefficient , 1977 .

[32]  S. Arora,et al.  Alternative Approaches to Spatial Autocorrelation: An Improvement Over Current Practice , 1977 .

[33]  John E. Jackson Issues, Party Choices, and Presidential Votes , 1975 .

[34]  Herbert F. Weisberg,et al.  Dimensionland: An Excursion into Spaces , 1974 .

[35]  L Papayanopoulos,et al.  Democratic representation and apportionment: quantitative methods, measures, and criteria. Preface. , 1973, Annals of the New York Academy of Sciences.

[36]  W. P. Shively,et al.  “Ecological” Inference: The Use of Aggregate Data to Study Individuals , 1969, American Political Science Review.

[37]  Edward R. Tufte,et al.  Improving Data Analysis in Political Science , 1969, World Politics.

[38]  R. Dahl,et al.  Who Governs: Democracy and Power in an American City. , 1962 .

[39]  L. Katz,et al.  Statistical Methods for Social Scientists. , 1954 .

[40]  Norman N. Gill,et al.  An Analysis of the 1932 Presidential Vote in Chicago , 1935, American Political Science Review.

[41]  H. Gosnell Statisticians and Political Scientists , 1933, American Political Science Review.

[42]  S. A. Rice Some Applications of Statistical Method to Political Research , 1926, American Political Science Review.

[43]  J. Fairlie Political Science in Great Beitain , 1924, American Political Science Review.

[44]  C. E. Merriam The Present State of the Study of Politics , 1921, American Political Science Review.

[45]  William F. Ogburn,et al.  How Women Vote , 1919 .

[46]  A. L. Lowell The Physiology of Politics: Presidential Address, Sixth Annual Meeting of the American Political Science Association , 1910, American Political Science Review.

[47]  Charles H. Franklin,et al.  Estimation across Data Sets: Two-Stage Auxiliary Instrumental Variables Estimation (2SAIV) , 1989, Political Analysis.

[48]  John R. Freeman Systematic Sampling, Temporal Aggregation, and the Study of Political Relationships , 1989, Political Analysis.

[49]  R. Eisner Divergences of Measurement and Theory and Some Implications for Economic Policy , 1989 .

[50]  G. King,et al.  Unifying Political Methodology: The Likelihood Theory of Statistical Inference , 1989 .

[51]  John E. Jackson An Errors-in-Variables Approach to Estimating Models with Small Area Data , 1989, Political Analysis.

[52]  Nathaniel Beck,et al.  Estimating Dynamic Models is Not Merely a Matter of Technique , 1986 .

[53]  Christopher H. Achen The Statistical Analysis of Quasi-Experiments , 2023 .

[54]  Anthony S. Bryk,et al.  A Hierarchical Model for Studying School Effects , 1986 .

[55]  W. D. Ray,et al.  The Econometric Analysis of Time Series. , 1981 .

[56]  Herbert M. Kritzer,et al.  Analyzing Contingency Tables by Weighted Least Squares: An Alternative to the Goodman Approach , 1978 .

[57]  J. Besag Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .

[58]  Douglas A. Hibbs,et al.  Problems of Statistical Estimation and Causal Inference in Time-Series Regression Models , 1973 .

[59]  T. Gurr Politimetrics;: An introduction to quantitative macropolitics , 1972 .