Book reviews

GUTTMAN, L. (1968), “A General Non-metric Technique for Finding the Smallest Coordinate Space for a Configuration of Points,”Psychometrika, 33, 329–347.Google Scholar

GUTTMAN, L. (1977), “What is Not What in Statistics,”The Statistician, 26, 81–107.Google Scholar

COXON, A.P.M. (1982),The User's Guide to Multidimensional Scaling, Exeter, New Hampshire: Heinemann.Google Scholar

RUNKEL, P.J., and MCGRATH, J.E. (1972),Research on Human Behavior: A Systematic Guide to Method, New York: Holt, Rinehart and Winston.Google Scholar

GUTTMAN, L. (1957), “Introduction to Facet Design and Analysis,“Proceedings of the 15th International Congress of Psychology, Amsterdam: North-Holland, 130–132.Google Scholar

GABRIEL, K.R. (1971), “The Biplot Graphic Display of Matrices with Application to Principal Components Analysis,”Biometrika, 58, 453–467.Google Scholar

GAUCH, H.G. (1980), “Rapid Initial Clustering of Large Data Sets,”Vegetatio, 42, 103–111.Google Scholar

GAUCH, H.G. (1982),Multivariate Analysis in Community Ecology, Cambridge: Cambridge University Press.Google Scholar

GOWER, J.C. (1966), “Some Distance Properties of Latent Root and Vector Methods Used in Multivariate Analysis,”Biometrika, 53, 325–338.Google Scholar

ORLOCI, L. (1978),Multivariate Analysis in Vegetation Research, The Hague: Junk.Google Scholar

LORR, M., KLETT, C.M., and MC NAIR, D. (1963),Syndromes of Psychosis, London: Pergamon Press.Google Scholar

MC QUITTY, L.L. (1957), “Elementary Linkage Analysis for Isolating Orthogonal and Oblique Types and Typal Relevancies,”Educational and Psychological Measurement, 17, 207–229.Google Scholar

MC QUITTY, L.L. (1961), “Typal Analysis,”Educational and Psychological Measurement, 21, 677–696.Google Scholar

MC QUITTY, L.L. (1963), “Rank Order Typal Analysis,”Educational and Psychological Measurement, 23, 55–61.Google Scholar

MC QUITTY, L.L., and CLARK, J.A. (1968), “Cluster from Iterative, Intercolumnar Correlational Analysis,”Educational and Psychological Measurement, 28, 211–238.Google Scholar

U.S. BUREAU OF THE CENSUS (1977),Child Well-being: Interim Report. Washington, DC: U.S. Government Printing Office.Google Scholar

U.S. BUREAU OF THE CENSUS (1979),A Profile Analysis of Minnesota Counties, Washington, DC: U.S. Government Printing Office.Google Scholar

U.S. BUREAU OF THE CENSUS (1980),Suggestions for an Enhanced Socioeconomic Capability in the Bureau of Land Management. Report III: Database Development and Data Analysis, Center for Demographic Studies, U.S. Bureau of the Census.Google Scholar

CARROLL, J.D. (1985), Review ofMultidimensional Scaling, Psychometrika, 50, 133–140.Google Scholar

CONSTANTINE, A.G., and GOWER, J.C. (1978), “Graphical Representation of Asymmetric Matrices,”Applied Statistics, 27, 297–304.Google Scholar

CRITCHLEY, F. (1980), “Optimal Norm Characteristations of Multidimensional Scaling Methods and Some Related Data Analysis Problems,” inData Analysis and Informatics, Eds. E. Diday et al, Amsterdam: North Holland.Google Scholar

KRUSKAL, J.B., and WISH, M. (1978),Multidimensional Scaling, Beverly Hills: Sage.Google Scholar

OKAMOTO, M. (1969), “Optimality of Principal Components,” inMultivariate Analysis II, Ed. P.R. Krishnaiah, New York: Academic Press.Google Scholar

TORGERSON, W.S. (1958),Theory and Methods of Scaling, New York: Wiley.Google Scholar

CAILLIEZ F., and PAGES, J.P. (1976),Introduction à l'Analyse des Données, Paris: Societé de Mathématiques Appliquées et de Sciences Humaines.Google Scholar

GUTTMAN, L. (1941), “The Quantification of a Class of Attributes: A Theory and Method of Scale Construction,” inThe Prediction of Personal Adjustment, Ed. The Committee on Social Adjustment, New York: Social Science Research Council, 319–348.Google Scholar

LEBART, L., MORINEAU, A., and WARWICK, K. (1984),Multivariate Descriptive Statistical Analysis, New York: Wiley.Google Scholar

TENENHAUS, M., and YOUNG, F.W. (1985), “An Analysis and Synthesis of Multiple Correspondence Analysis, Optimal Scaling, Dual Scaling, Homogeneity Analysis, and Other Methods for Quantifying Categorical Multivariate Data,”Psychometrika, 50, 91–119.Google Scholar

FRANCIS, I. (1981),Statistical Software: A Comparative Review, New York: Elsevier.Google Scholar

FRANCIS, I., and SEDRANSK, J. (1979), “A Comparison of Software for Processing and Analyzing Surveys,”Bulletin of the International Statistical Institute, 48.Google Scholar

MULLER, M.E., and WILKINSON, C.N. (1976), A Standardized Form for Describing Programs, Packages and Systems for Statistical Applications,”International Statistical Review, 44,3, 349–353.Google Scholar

SONQUIST, J.A. (1984), “Comparison and Assessment of Social Network Analysis Programs,” Paper presented at the Sunbelt IV Social Networks Conference, Pheonix, Arizona.Google Scholar

WHITE, H.C. (1963),An Anatomy of Kinship, Englewood Cliffs, NJ: Prentice-Hall.Google Scholar