Selecting Statistics  


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Andrews, F. M., and Messenger, R. C. Multivariate Nominal Scale Analysis. Ann Arbor: Institute for Social Research, The University of Michigan, 1973.

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[BMDP] Dixon, W. J., editor. BMDP Statistical Software 1981 Manual. Berkeley, California: University of California Press, 1981.

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Bock, R. D., and Yates, G. MULTIQUAL: Log-LinearAnalysis of Nominal or Ordinal Qualitative Data by the Method of Maximum Likelihood. User's Guide. Chicago: National Educational Resources, 1973.

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Carroll, J. D.; Pruzansky, S.; and Kruskal, J. B. CANDELINC: a general approach to multidimensional analysis of many-way arrays with linear constraints on parameters. Psychometrika 45 (1980): 3-24.

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Cohen, J. Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychological Bulletin 70 (1968): 213-220.

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D'Agostino, R. B. Simple compact portable test of normality: Geary's test revisited. Psychological Bulletin 74 (1970):138-140.

Darlington, R. B. Reduced variance regression. Psychological Bulletin 85 (1978): 1238-1255.

Dempster, P.; Schatzoff, M.; and Wermuth, N. A simulation study of alternatives to ordinary least squares. Journal of the American Statistical Association 72 (1977): 77-102.

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DuMouchel, W. H. The regression of a dichotomous variable. Unpublished. Survey Research Center Computer Support Group, Institute for Social Research, University of Michigan, 1974.

DuMouchel, W. H. On the analogy between linear and log-linear regression. Technical Report No. 67. Unpublished. Department of Statistics, University of Michigan, March 1976.

Feinberg, S. E. The Analysis of Cross-Classified Data. Cambridge, Massachusetts: The MIT Press, 1977.

Fennessey, J., and d'Amico, R. Collinearity, ridge regression, and investigator judgement. Sociological Methods and Research 8 (1980): 309-340.

Fleiss, J. L.; Cohen, J.; and Everitt, B. S. Large sample standard errors of kappa and weighted kappa. Psychological Bulletin 72 (1969): 323-327.

Freeman, L. C. Elementary Applied Statistics for Students in Behavioral Science. New York: Wiley, 1965.

Gillo, M. W. MAID: A Honeywell 600 program for an automatised survey analysis. Behavioral Science 17 (1972): 251-252.

Gillo, M. W., and Shelley, M. W. Predictive modelling of multivariable and multivariate data. Journal of the American Statistical Association 69 (1974):646-653.

Glass, G. V., and Hakstian, A. R. Measures of association in comparative experiments: their development and interpretation. American Educational Research Journal 6 (1969): 403-414.

Glass, G. V.; Willson, V. L.; and Gottman, J. M. Design and Analysis of Time Series Experiments. Boulder, Colorado: Colorado Associated University Press, 1975.

Gokhale, D. V., and Kullback, S. The Information in Contingency Tables. New York: Marcel Dekker, 1978.

Goodman, L. A., and Kruskal, W. H. Measures of association for cross classifications. Journal of the American Statistical Association 49 (1954): 732-764.

Goodman, L. A., and Kruskal, W. H. Measures of association for cross classifications III: approximate sampling theory. Journal of the American Statistical Association 58 (1963): 310-364.

Goodman, L. A., and Kruskal, W. H. Measures of association for cross classification IV: simplification of asymptotic variances. Journal of the American Statistical Association 67 (1972): 415-421.

Gorsuch, R. L. Factor Analysis. Philadelphia: W. B. Saunders, 1974. " R = R + "

Gross, A. J., and Clark, V. A. Survival Distributions: Reliability Applications in the Biomedical Sciences. New York: Wiley, 1975.

Guttman, L. A general nonmetric technique for finding the smallest coordinate space for a configuration of points. Psychometrika 33 (1968): 469-506.

Hannan, M. T., and Tuma, N. B. Methods for temporal analysis. In Annual Review of Sociology: 1979, edited by A. Inkeles. Palo Alto: Annual Reviews, 1979.

Hargens, L. A note on standardized coefficients as structural parameters. Sociological Methods and Research 5 (1976): 247-256.

Harris, R. J. A Primer of Multivariate Statistics. New York: Academic Press, 1975.

Harshbarger, T. R. Introductory Statistics: A Decision Map. New York: Macmillan, 1971.

Harshman, R. A. PARAFAC: Foundations of the PARAFAC procedure- models and conditions for an 'explanatory' multi-model factor analysis. Working papers in phonetics 16. Los Angeles: University of California at Los Angeles, 1970.

Hartwig, F. Exploratory Data Analysis. Beverly Hills, California: Sage, 1979.

Hays, W. L. Statistics for the Social Sciences. Second edition. New York: Holt, Rinehart, and Winston, 1973.

Hertel, B. R. Minimizing error variance introduced by missing data routines in survey analysis. Sociological Methods and Research 4 (1976): 459-474.

Isaac, P. D., and Poor, D. D. S. On the determination of appropriate dimensionality in data with error. Psychometrika 39 (1974): 91-109.

Joreskog, K. G., and Sorbom, D. LISREL: Analysis of Linear Structural Relationships by the Method of Maximum Likelihood. Version IV. User's Guide, Chicago: National Educational Resources, 1978.

Kalbfleisch, J. D., and Prentice, R. L. The Statistical Analysis of Failure Time Data. New York: Wiley, 1980.

Kelley, T. L. An unbiased correlation ratio measure. Proceedings of the National Academy of Sciences 21 (1935): 554-559.

Kendall, M. G. Rank Correlation Methods. Fourth edition. London: Griffin, 1970.

Kendall, M. G., and Stuart, A. The Advanced Theory of Statistics, Volume 2. New York: Hafner, 1961.

Kerlinger, F. N., and Pedhazur, E. J. Multiple Regression in Behavioral Research. New York: Holt, Rinehart and Winston, 1973.

Kim, J. Predictive measures of ordinal association. American Journal of Sociology 76 (1971): 891- 907.

Kim, J. Multivariate analysis of ordinal variables. American Journal of Sociology 81 (1975): 261-298.

Kim, J., and Curry, J. The treatment of missing data in multivariate analysis. Sociological Methods and Research 6 (1977): 215-240.

Kim, J., and Mueller, C. W. Standardized and unstandardized coefficients in causal analysis. Sociological Methods and Research 4 (1976): 423-438.

Kirk, R. E. Experimental Design: Procedures for the Behavioral Sciences. Belmont, California: Brooks/Cole, 1968.

Krippendorf, K. Bivariate agreement coefficients for reliability of data. In Sociological Methodology: 1970, edited by E. F. Borgatta and G. W. Bohrnstedt. San Francisco: Jossey-Bass, 1970.

Kruskal, J. B. Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika 29 (1964a): 1-27.

Kruskal, J. B. Nonmetric multidimensional scaling: a numerical method. Psychometrika 29 (1964b): 115-130.

Kruskal, J. B. Transformations of data. In International Encyclopedia of Statistics, Volume 2, edited by W. H. Kruskal and J. M. Tanur. New York: Crowell Collier and Macmillan. Originally published 1968. Copyright renewed in 1978 by The Free Press.

Kruskal, J. B., and Wish, M. Multidimensional Scaling. Beverly Hills, California: Sage, 1978.

Kruskal, J. B.; Young, F. W.; and Seery, J. B. How to use KYST, a very flexible program to do multidimensional scaling and unfolding. Unpublished. Bell Laboratories, Murray Hills, New Jersey, 1973.

Landis, J. R.; Stanish, W. M.; Freeman, J. L.; and Koch, G. G. A computer program for the generalized chi-square analysis of categorial data using weighted least squares (GENCAT). Computer Programs in Bio-medicine 6 (1976): 196-231.

Langeheine, R. Erwartete fitwerte fur Zufallskonfigurationen in PINDIS. Zeitschrift fur Sozialpsychologie 11 (1980): 38-49.

Leinhardt, S., and Wasserman, S. S. Exploratory data analysis: an introduction to selected methods. In Sociological Methodology 1979, edited by K. F. Schuessler. San Francisco: Jossey-Bass, 1978.

Light, R. J. Measures of response agreement for qualitative data: some generalizations and alternatives. Psychological Bulletin 76 (1971): 365-377.

Lingoes, J. C., and Borg, I. Procrustean individual difference scaling. Journal of Marketing Research 13 (1976): 406-407.

Lingoes, J. C.; Roskam, E. E.; and Borg, I. Geometric Representations of Relational Data. Second edition. Ann Arbor: Mathesis Press, 1979.

MacCallum, R. C., and Cornelius, E. T. A Monte Carlo Investigation of recovery of structure by ALSCAL. Psychometrika 42 (1977): 401-428.

Mayer, L. S., and Robinson, J. A. Measures of association for multiple regression models with ordinal predictor variables. In Sociological Methodology 1978, edited by K. F. Schuessler. San Francisco: JosseyBass, 1977.

McCleary, R., and Hay, R. A., Jr., with Meidinger, E. E., and McDowall, D. Applied Time Series Analysis for the Social Sciences. Beverly Hills, California: Sage, 1980.

McNemar, Q. Psychological Statistics. Fourth edition. New York: Wiley 1969.

[MIDAS] Fox, D. J., and Guire, K. E. Documentation for MIDAS. Third edition. Ann Arbor: Statistical Research Laboratory, The University of Michigan, 1976.

Morrison, D.F. Multivariate Statistical Methods. Second edition. New York: McGraw-Hill, 1976.

Mosteller, F., and Tukey, J. W. Data Analysis and Regression. Reading: Massachusetts: Addison- Wesley 1977.

Neter, J., and Wasserman, W. Applied Linear Statistical Models. Homewood, Illinois: Richard D. Irwin, 1974.

Nunnally, J. C. Psychometric Theory. Second edition. New York: McGraw-Hill, 1978.

Olson, C. L. On choosing a test statistic in multivariate analysis of variance. Psychological Bulletin 83 (1976): 579-586.

Olsson, U. Maximum likelihood estimation of the polychoric correlation coefficient. Psychometrika 44 (1979): 443-460.

Olsson, U. Measuring correlation in ordered two-way contingency tables. Journal of Marketing Research 17 (1980): 391-394.

[OSIRIS] Survey Research Center Computer Support Group. OSIRIS IV User's Manual. Seventh edition. Ann Arbor: Institute for Social Research, The University of Michigan, 1981.

Overall, J. E. and Klett, C. J. Applied Multivariate Analysis. New York: McGraw-Hill, 1972.

Ramsay, J. O. Maximum likelihood estimation in multidimensional scaling. Psychometrika 42 (1977): 241-266.

Rao, C. R. Linear Statistical Inference and its Applications. New York: Wiley, 1965.

Robinson, W. S. The statistical measurement of agreement. American Sociological Review 22 (1957):17-25.

Rozeboom, W. W. Ridge regression: bonanza or beguilement? Psychological Bulletin 86 (1979): 242- 249.

Sands, R., and Young, F. W. Component models for three-way data: an alternating least squares algorithm with optimal scaling features. Psychometrika 45 (1980): 39-68.

[SAS] SAS Institute, Inc. SAS User's Guide, 1979 Edition. Raleigh, North Carolina: SAS Institute, 1979.

[SAS] SAS Institute, Inc. The SAS Supplemental Library User's Guide, 1980 Edition. Cary, North Carolina: SAS Institute, 1980.

Siegel, S. Nonparametric Methods for the Behavioral Sciences. New York: McGraw-Hill, 1956.

Smith, G., and Campbell, F. A critique of ridge regression methods. Journal of the American Statistical Association 75 (1980): 74-81.

Sneath, P. H. A., and Sokal, R. R. Numerical Taxonomy. San Francisco: W. H. Freeman, 1973.

Snedecor, G. W., and Cochran, W. G. Statistical Methods. Sixth edition. Ames, lowa: The lowa State University Press, 1967.

Somers, R. H. A new asymmetric measure of association for ordinal variables. American Sociological Review 27 (1962): 799-811.

Sonquist, J. A.; Baker, E. L.; and Morgan, J. N. Searching for Structure. Revised edition. Ann Arbor: Institute for Social Research, The University of Michigan, 1974.

Sorbom, D. and Joreskog, K.G. COFAMM: Confirmatory Factor Analysis with Model Modification. User's Guide. Chicago: National Educational resources, 1976.

Spence, I., and Graef, J. The determination of the underlying dimensionality of an empirically obtained matrix of proximities. Multivariate Behavioral Research 9 (1974): 331-342.

Spence, I., and Ogilvie, J. C. A table of expected stress values for random rankings in nonmetric multidimensional scaling. Multivariate Behavioral Research 8 (1973): 511-517.

[SPSS] Nie, N. H.; Hull, C. H.; Jenkins, J. G.; Steinbrenner, K.; and Bent D. H. SPSS: Statistical Package for the Social Sciences. Second edition. New York: McGraw-Hill, 1975.

[SPSS] Hull, C. H., and Nie, N. H. SPSS UPDATE 7-9: New Procedures and Facilities for Releases 7-9. New York: McGraw-Hill, 1981.

Srikantan, K. S. Canonical association between nominal measurements. Journal of the American Statistical Association 65 (1970): 284-292.

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Statistics Department, University of Chicago. ECTA program: description for users. Mimeographed paper, 1973.

Stuart, A. The estimation and comparison of strengths of association in continency tables. Biometrika 40 (1953): 105-110.

Takane, Y.; Young, F. W.; and DeLeeuw, J. Nonmetric individual differences multidimensional scaling: an alternating least squares method with optimal scaling features. Psychometrika 42 (1977): 7-67.

Tukey, J. W. Exploratory Data Analysis. Reading, Massachusetts: Addison-Wesley, 1977.

Young, F. W., and Torgerson, W. S. TORSCA, a FORTRAN IV program for Shepard-Kruskal multidimensional scaling analysis. Behavioral Science 12 (1976): 498.

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