Kruley quantitative methods and philosophy collection

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American Psychological Association. (1973). Ethical principles in the conduct of research with human participants. Washington, DC: American Psychological Association.

Barnes, J. A. (1979). Who should know that? Social science, privacy, and ethics. New York: Penguin Books.
Beyer, W. H. (1978). CRC standard mathematical tables (25th ed.). Boca Raton, FL: CRC Press.
Bollen, K. A., & Long, J. S. (Eds.). (1993). Testing structural equation models. Newbury Park, CA: SAGE Publications.
Braithwaite, R. B. (1953). Scientific explanation: A study of the function of theory, probability and law in science. New York: Harper and Row.
Brown Jr., B. W., & Hollander, M. (1977). Statistics: A biomedical introduction. New York: John Wiley & Sons.
Brown, R. (1963). Explanation in social science. Chicago: Aldine Publishing Company.
Campbell, D. T. (1988). Methodology and epistemology for social science: Selected papers. Chicago: The University of Chicago Press.
Campbell, D. T., & Stanley, J. C. (1963). Experimental and quasi-experimental designs for research. Chicago: Rand McNally & Company.
Cattell, R. B. (1952). Factor analysis: An introduction and manual for the psychologist and social scientist. New York: Harper & Brothers.
Cook, T. D., & Campbell, D. T. (1979). Quasi-experimentation: Design and analysis issues for field settings. Chicago: Rand McNally College Publishing Company.
Cooley, W. W., & Lohnes, P. R. (1962). Multivariate procedures for the behavioral sciences. New York: John Wiley & Sons.
Coombs, C. H. (1964). A theory of data. New York: John Wiley & Sons.
Courant, R., & Robbins, H. (1941). What is mathematics? London: Oxford University Press.
Cronbach, L. J. (1960). Essentials of psychological testing (2nd ed.). New York: Harper & Brothers.
Draper, N. R., & Smith, H. (1981). Applied regression analysis (2nd ed.). New York: John Wiley & Sons.
DuBois, P. H. (1957). Multivariate correlational analysis. New York: Harper & Brothers.
Edwards, A. L. (1962). Experimental design in psychological research. New York: Holt, Rinehart and Winston.
Feyerabend, P. (1975). Against method: Outline of an anarchistic theory of knowledge. London: Verso.
Fienberg, S. E. (1980). The analysis of cross-classified categorical data (2nd ed.). Cambridge, MA: The MIT Press.
Games, P. A., & Klare, G. R. (1967). Elementary statistics: Data analysis for the behavioral sciences. New York: McGraw-Hill.
Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
Guilford, J. P. (1954). Psychometric methods (2nd ed.). New York: McGraw-Hill.
Harre, R. (1981). Great scientific experiments: 20 experiments that changed our view of the world. Oxford: Phaidon Press.
Harre, R., & Secord, P. F. (1973). The explanation of social behaviour. Totowa, NJ: Littlefield, Adams & Company.
Harris, C. W. (Ed.). (1963). Problems in measuring change. Madison, WI: The University of Wisconsin Press.
Harris, R. J. (1975). A primer of multivariate statistics. New York: Academic Press.
Hays, W. L. (1981). Statistics (3rd ed.). New York: Holt, Rinehart and Winston.
Hays, W. L., & Winkler, R. L. (1971). Statistics: Probability, inference, and decision. New York: Holt, Rinehart and Winston.
Hempel, C. G. (1966). Philosophy of natural science. Englewood Cliffs, NJ: Prentice-Hall.
Herstein, I. N. (1964). Topics in algebra. Lexington, MA: Xerox College Publishing.
Hettmansperger, T. P. (1991). Statistical inference based on ranks. Malabar, FL: Krieger Publishing Company.
Holzinger, K. J., & Harman, H. H. (1941). Factor analysis: A synthesis of factorial methods. Chicago: The University of Chicago Press.
Kaplan, A. (1964). The conduct of inquiry: Methodology for behavioral science. San Francisco, CA: Chandler Publishing Company.
Katz, M. A. (1976). Calculus for the life sciences: An introduction. New York: Marcel Dekker.
Keren, G., & Lewis, C. (Eds.). (1993). A handbook for data analysis in the behavioral sciences: Methodological issues. Hillsdale, NJ: Lawrence Erlbaum Associates.
Keren, G., & Lewis, C. (Eds.). (1993). A handbook for data analysis in the behavioral sciences: Statistical issues. Hillsdale, NJ: Lawrence Erlbaum Associates.
Kuhn, T. S. (1962). The structure of scientific revolutions. Chicago: The University of Chicago Press.
Kuhn, T. S. (1970). The structure of scientific revolutions (2nd ed.). Chicago: The University of Chicago Press.
Lambert, K., & Brittan Jr., G. G. (1987). An introduction to the philosophy of science (3rd ed.). Atascadero, CA: Ridgeview Publishing Company.
Leplin, J. (Ed.). (1984). Scientific realism. Berkeley, CA: University of California Press.
Luce, R. D. (Ed.). (1960). Developments in mathematical psychology: Information, learning, and tracking. Glencoe, IL: The Free Press.
Luce, R. D., Bush, R. R., & Galanter, E. (Eds.). (1963). Handbook of mathematical psychology (Vol. I). New York: John Wiley & Sons.
Luce, R. D., Bush, R. R., & Galanter, E. (Eds.). (1963). Handbook of mathematical psychology (Vol. II). New York: John Wiley & Sons.
Luce, R. D., & Raiffa, H. (1957). Games and decisions: Introduction and critical survey. New York: John Wiley & Sons.
Maxwell, A. E. (1961). Analysing qualitative data. London: Methuen & Company.
Michell, J. (1990). An introduction to the logic of psychological measurement. Hillsdale, NJ: Lawrence Erlbaum Associates.
Mosteller, F., Rourke, R. E. K., & Thomas Jr., G. B. (1970). Probability with statistical applications (2nd ed.). Reading, MA: Addison-Wesley.
Pearson, K. (Ed.). (1914). Tables for statisticians and biometricians. Cambridge: University Press.
Radhakrishna Rao, C. (1952). Advanced statistical methods in biometric research. New York: John Wiley & Sons.
Rosnow, R. L. (1981). Paradigms in transition: The methodology of social inquiry. New York: Oxford University Press.
Scheffe, H. (1959). The analysis of variance. New York: John Wiley & Sons.
Scheffler, I. (1982). Science and subjectivity (2nd ed.). Indianapolis, IN: Hackett Publishing Company.
Shepard, R. N., Romney, A. K., & Nerlove, S. B. (Eds.). (1972). Multidimensional scaling: Theory and applications in the behavioral sciences. Vol. I: Theory. New York: Seminar Press.
Snedecor, G. W., & Cochran, W. G. (1967). Statistical methods (6th ed.). Ames, IA: The Iowa State University Press.
Solomon, H. (Ed.). (1960). Mathematical thinking in the measurement of behavior: Small groups, utility, factor analysis. Glencoe, IL: The Free Press.
Solomon, H. (Ed.). (1961). Studies in item analysis and prediction. Stanford, CA: Stanford University Press.
Steger, J. A. (Ed.). (1971). Readings in statistics for the behavioral scientist. New York: Holt, Rinehart and Winston.
Steininger, M., Newell, J. D., & Garcia, L. T. (1984). Ethical issues in psychology. Homewood, IL: The Dorsey Press.
Tabachnick, B. G., & Fidell, L. S. (1983). Using multivariate statistics. New York: Harper & Row.
Tatsuoka, M. M. (1975). The general linear model: A ‘new’ trend in analysis of variance. Selected topics in advanced statistics: An elementary approach, number 7. Champaign, IL: Institute for Personality and Ability Testing.
Thomson, G. H. (1939). The factorial analysis of human ability. Boston: Houghton Mifflin Company.
Torgerson, W. S. (1958). Theory and methods of scaling. New York: John Wiley & Sons.
Waddington, C. H. (1948). The scientific attitude (2nd ed.). London: Penguin Books.
Walker, E. L. (1970). Psychology as a natural and social science. Belmont, CA: Brooks/Cole.
Walker, H. M. (1951). Mathematics essential for elementary statistics: A self-teaching manual (2nd ed.). New York: Henry Holt and Company.
Wallis, W. A., & Roberts, H. V. (1956). Statistics: A new approach. Glencoe, IL: The Free Press.
Winer, B. J. (1962). Statistical principles in experimental design. New York: McGraw-Hill.

Sage Series: Quantitative Applications in the Social Sciences. Beverly Hills, CA: SAGE


1. Analysis of variance by G. R. Iversen & H. Norpoth

3. Causal modeling by H. B. Asher

4. Tests of significance by R. E. Henkel

5. Cohort analysis by N. D. Glenn

6. Canonical analysis and factor comparison by M. S. Levine

7. Analysis of nominal data by H. T. Reynolds

8. Analysis of ordinal data by D. K. Hildebrand, J. D. Laing, & H. Rosenthal

10. Ecological inference by L. I. Langbein & A. J. Lichtman

11. Multidimensional scaling by J. B. Kruskal & M. Wish

12. Analysis of covariance by A. R. Wildt & O. T. Ahtola

18. Analyzing panel data by G. B. Markus

19. Discriminant analysis by W. R. Klecka

20. Log-linear models by D. Knoke & P. J. Burke

21. Interrupted time series analysis by D. McDowall, R. McCleary, E. E. Meidinger, & R. A. Hay, Jr.

22. Applied regression: An introduction by M. S. Lewis-Beck

23. Research designs by P. E. Spector

24. Unidimensional scaling by J. P. McIver & E. G. Carmines

26. Multiattribute evaluation by W. Edwards & J. R. Newman

27. Dynamic modeling: An introduction by R. R. Huckfeldt, C. W. Kohfeld, & T. W. Likens

28. Network analysis by D. Knoke & J. H. Kuklinski

47. Canonical correlation analysis: Uses and interpretation by B. Thompson

65. Three-way scaling and clustering by P. Arabie, J. D. Carroll, & W. S. DeSarbo

66. Q methodology by B. McKeown & D. Thomas

LISREL 8: User’s Reference Guide

LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language

PRELIS: A program for multivariate data screening and data summarization. A preprocessor for LISREL

PRELIS 2: User’s Reference Guide
MINITAB Reference Manual: Release 10 for Windows
SYSTAT: Getting Started


SYSTAT: Graphics

SYSTAT: Statistics
Microsoft: Getting Results with Microsoft Office for Windows 95
MEL Professional: User’s Guide

MEL Professional: Language Reference Guide
SPSS Interactive Graphics 8.0

SPSS Base 8.0: Applications Guide

SPSS Base 8.0: User’s Guide

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