Causal Inference in the Social Sciences

Clogg, C. C., and Shidadeh, E. S. (1994). Statistical Models for Ordinal Variables, Thousand Oaks, CA: Sage. Cressie, N. E., and Holland, P. W. (1983), “Characterizing the Manifest Probabilities of Latent Trait Models,” Psychometrika, 48, 129141. Christensen, R. (1996), Plane Answers to Complex Questions: The Theory of Linear Models (2nd ed.), New York Springer-Verlag. Darroch, J. N. (19621, “Interaction in Multi-Factor Contingency Tables,” Journal of the Royal Statistical Society, Ser. B, 24, 251-263. (1986), “Quasi-Symmetry,” in Encyclopedia of Statistical Sciences, Vol. 7, eds. S. Kotz and N. L. Johnson, New York: Wiley, pp. 469473. Darroch, J. N., Fienberg, S. E., Glonek, G., and Junker, B. (19931, “A Three-Sample Multiple-Recapture Approach to Census Population Estimation With Heterogeneous Catchability,” Journul of the American Statistical Association, 88, 1137-1 148. Darroch, J. N., Lauritzen, S. L., and Speed, T. P. (1980), “Markov Fields and Log-Linear Interaction Models for Contingency Tables,” The Annals of Statistics, 8, 522-539. Diaconis, P., and Sturmfels, B. (1998), “Algebraic Algorithms for Sampling From Conditional Distributions,” The Annals of Statistics, 26,363397. Diggle, P. J., Liang, K-Y., and Zeger, S. L. (1996), Analysis of Longitudinal Data, New York: Oxford University Press. Duncan, 0. D. (1983), “Rasch Measurement: Further Examples and Discussion,” in Survey Measurement of Subjective Phenomena, Vol. 2, eds. C. F. Turner and E. Martin, New York: Russell Sage, pp. 367-403. Fienberg, S. E. (19721, “The Multiple Recapture Census for Closed Populations and Incomplete 2k Contingency Tables,” Biometrika, 59, 591603. (1980), The Analysis of Cmss-Class$ed Categorical Data (2nd ed.), Cambridge, M A MIT Press. (1999). “Frkchet and Bonferroni Bounds for Multi-Way Tables of Counts With Applications to Disclosure Limitation,” in Statistical Data Protection: Proceedings of the Conference, Luxembourg: Eurostat, 1 15129. Fienberg, S. E., Johnson, M. A., and Junker, B. (1999), “Classical MultiLevel and Bayesian Approaches to Population Size Estimation Using Data From Multiple Lists,” Journal of the Royal Statistical Society, Ser. A, 162, 383406. Fienberg, S. E., and Meyer, M. M. (1983), “Loglinear Models and Categorical Data Analysis With Psychometric and Econometric Applications,” Journal of Econometrics, 22, 191-214. Fienberg, S. E., Meyer, M. M., and Wasserman, S. S. (1985). “Statistical Analysis of Multiple Sociometric Relations,” Journal of the American Statistical Association, 80, 5 1-67. Good, I. J. (1963), “Maximum Entropy for Hypothesis Formulation, Especially for Multidimensional Contingency Tables,” Annals of Mathemutical Statistics, 34, 91 1-934. Goodman, L. A. (1963), “On Methods for Comparing Contingency Tables,” Journal of the Royal Statistical Society, Ser. A, 126, 94-108. (1979), “Simple Models for the Analysis of Association in CrossClassifications Having Ordered Categories,” Journal of the American Statistical Association, 74, 537-552. Haberman, S. J. (1974), The Analysis of Frequency Data, Chicago: University of Chicago Press. (1977). “Log-Linear Models and Frequency Tables With Small Expected Cell Counts,” The Annals of Statistics, 5, 1148-1 169. Holland, P. W., and Leinhardt, S. (1981), “An Exponential Family of Probability Distributions for Directed Graphs” (with discussion), Journal of the American Statistical Association, 76, 33-65. Koehler, K. J., and Larntz, K. (1980). “An Empirical Investigation of Goodness-of-Fit Statistics for Sparse Multinomials,” Journal of the American Statistical Assmiation, 75, 336344. Lauritzen, S. L. (1996), Graphical Models, New York: Oxford University Press. McCullagh, P., and Nelder, J. A. (19891, Generalized Linear Models (2nd ed.), London: Chapman and Hall. Plackett, R. L. (1974), The Analysis of Categorical Data, London: Charles Griffin. Rasch, G. (1960), Probabilistic Models for Some Intelligence and Attainment Tests, The Danish Institute of Educational Research, expanded ed. (1980), Chicago: The University of Chicago Press. Read, T. R. C., and Cressie, N. A. C. (1988), Goodness-ofFit Statistics for Discrete Multivariate Data, New York: Springer-Verlag. Roy, S. N., and Kastenbaum, M. A. (1956), “On the Hypothesis of No Interaction in a Multi-way Contingency Table,” Annals of Mathematical Statistics, 27, 749-757. Tjur, T. (1982), “A Connection Between Rasch’s Item Analysis Model and a Multiplicative Poisson Model,” Scandinavian Journal of Statistics, 9,

[1]  T. Cook,et al.  Quasi-experimentation: Design & analysis issues for field settings , 1979 .

[2]  Terence P. Speed,et al.  Introductory Remarks on Neyman (1923) , 1990 .

[3]  Carl F. Kaestle,et al.  The Awful Reputation of Education Research. , 1993 .

[4]  M. Sobel.  Measurement, Causation and Local Independence in Latent Variable Models , 1997 .

[5]  D. Rubin,et al.  Bayesian inference for causal effects in randomized experiments with noncompliance , 1997 .

[6]  I NICOLETTI,et al.  The Planning of Experiments , 1936, Rivista di clinica pediatrica.

[7]  M. Halloran,et al.  Causal Inference in Infectious Diseases , 1995, Epidemiology.

[8]  C. McClintock,et al.  Evaluators as applied theorists , 1990 .

[9]  Richard A. Berk,et al.  Causal inference for sociological data. , 1988 .

[10]  D. Campbell,et al.  EXPERIMENTAL AND QUASI-EXPERIMENT Al DESIGNS FOR RESEARCH , 2012 .

[11]  B. E. Eckbo,et al.  Appendix , 1826, Epilepsy Research.

[12]  Don R. Morris,et al.  Causal Inference and System Dynamics in Social Science Research: A Commentary with Example. , 2001 .

[13]  M. Sobel.  Effect analysis and causation in linear structural equation models , 1990 .

[14]  Christopher Bernert,et al.  The career of causal analysis in American sociolo t gY , 1983 .

[15]  John Geweke,et al.  Inference and causality in economic time series models , 1984 .

[16]  D. Freedman.  As Others See Us: A Case Study in Path Analysis , 1987 .

[17]  D. Rubin,et al.  The central role of the propensity score in observational studies for causal effects , 1983 .

[18]  T. Speed,et al.  On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9 , 1990 .

[19]  J. Heckman,et al.  Longitudinal Analysis of Labor Market Data: Alternative methods for evaluating the impact of interventions , 1985 .

[20]  N. Wermuth,et al.  Linear Dependencies Represented by Chain Graphs , 1993 .

[21]  W. Shadish,et al.  Experimental and Quasi-Experimental Designs for Generalized Causal Inference , 2001 .

[22]  Michail Prodan,et al.  CHAPTER 17 – THE PLANNING OF EXPERIMENTS , 1968 .

[23]  H. Simon,et al.  Spurious Correlation: A Causal Interpretation* , 1954 .

[24]  P. Spirtes,et al.  Causation, prediction, and search , 1993 .

[25]  Christopher Winship,et al.  THE ESTIMATION OF CAUSAL EFFECTS FROM OBSERVATIONAL DATA , 1999 .

[26]  E. Davidson,et al.  Ascertaining causality in theory‐based evaluation , 2000 .

[27]  J. Pearl.  Graphs, Causality, and Structural Equation Models , 1998 .

[28]  W. Cleveland.  Robust Locally Weighted Regression and Smoothing Scatterplots , 1979 .

[29]  James J. Heckman,et al.  Alternative methods for evaluating the impact of interventions: An overview , 1985 .

[30]  Burke Johnson.  Toward a New Classification of Nonexperimental Quantitative Research , 2001 .

[31]  W. Powell,et al.  The New Institutionalism in Organizational Analysis , 1993 .

[32]  O. D. Duncan.  Path Analysis: Sociological Examples , 1966, American Journal of Sociology.

[33]  R. Little,et al.  Statistical Techniques for Analyzing Data from Prevention Trials: Treatment of No-Shows Using Rubin's Causal Model , 1998 .

[34]  S. Gould.  Wonderful Life: The Burgess Shale and the Nature of History , 1989 .

[35]  Martin J. Sklar.  Periodization and Historiography: Studying American Political Development in the Progressive Era, 1890s–1916 , 1991, Studies in American Political Development.

[36]  M. Sobel,et al.  Identification Problems in the Social Sciences , 1996 .

[37]  Donald B. Rubin,et al.  Bayesian Inference for Causal Effects: The Role of Randomization , 1978 .

[38]  Joshua D. Angrist,et al.  Identification of Causal Effects Using Instrumental Variables , 1993 .

[39]  D. Rubin.  Assignment to Treatment Group on the Basis of a Covariate , 1976 .

[40]  Donald R. Morris.  Institutionalization and the Reform Process: A System Dynamics Perspective , 1996 .

[41]  Peter M. Senge,et al.  Modeling For Learning Organizations , 1994 .

[42]  D. Basu.  Randomization Analysis of Experimental Data: The Fisher Randomization Test , 1980 .

[43]  D B Rubin,et al.  Practical implications of modes of statistical inference for causal effects and the critical role of the assignment mechanism. , 1991, Biometrics.

[44]  James J. Heckman,et al.  Identification of Causal Effects Using Instrumental Variables: Comment , 1996 .

[45]  P. Holland.  CAUSAL INFERENCE, PATH ANALYSIS AND RECURSIVE STRUCTURAL EQUATIONS MODELS , 1988 .

[46]  J. Angrist,et al.  Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment Intensity , 1995 .

[47]  Don R. Morris,et al.  Patterns of Aggregate Grade-Retention Rates , 1993 .

[48]  D. Rubin,et al.  Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study with Binary Outcome , 1983 .

[49]  D. Rubin.  Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment , 1980 .

[50]  D. Rubin,et al.  Causal Inference in Retrospective Studies , 1987 .

[51]  Lawrence B. Mohr,et al.  Explaining organizational behavior , 1982 .

[52]  M. Sobel,et al.  Identification Problems in the Social Sciences. , 1996 .

[53]  C. Granger.  Investigating causal relations by econometric models and cross-spectral methods , 1969 .

[54]  Thomas D. Cook,et al.  The false choice between theory‐based evaluation and experimentation , 2000 .

[55]  D. Rubin,et al.  ON LORD'S PARADOX , 1982 .

[56]  D. Rubin.  Estimating causal effects of treatments in randomized and nonrandomized studies. , 1974 .

[57]  J. Robins,et al.  Identifiability and Exchangeability for Direct and Indirect Effects , 1992, Epidemiology.