Advertisement

Psychometrika

, Volume 36, Issue 4, pp 329–347 | Cite as

Measurement as structural theory

  • Louis Guttman
Article

Keywords

Public Policy Statistical Theory Structural Theory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Elizur, D.Adapting to innovation: A facet analysis of the case of of the computer. Jerusalem: Jerusalem Academic Press, 1970.Google Scholar
  2. Gardner, M.The annotated Alice. New York: Clarkson N. Potter, Inc. Esp. pp. 268–270.Google Scholar
  3. Guilford, J. P.Psychometric methods, New York: McGraw-Hill, 1936.Google Scholar
  4. Harman, H. H. Retrospective anticipation.Psychometrika, 1969,34, 407–420.Google Scholar
  5. Horst, P., et al.The prediction of personal adjustment. New York: Social Science Research Council, 1941.Google Scholar
  6. Jordan, J. E. Attitude-behavior research on physical-mental-social disability and racialethnic differences.Psychological Aspects of Disability, 1971,18, 5–26.Google Scholar
  7. Lingoes, J. C. The multivariate analysis of qualitative data.Multivariate Behavioral Research, 1968,3, 61–94.Google Scholar
  8. Pfanzagl, J.Theory of measurement. Wurzburg, Germany: Physica-Verlag, 1968, Pp. 235.Google Scholar
  9. Stouffer, S. A., et al. Measurement and prediction, Vol. IV ofStudies in Social Psychology in World War II. Princeton: Princeton University Press, 1950.Google Scholar

References for publications of Louis Guttman

  1. An outline of the statistical theory of prediction. In P. Horst, et al.,The prediction of personal adjustment. New York: Social Science Research Council, 1941; pp. 253–312.Google Scholar
  2. The quantification of a class of attributes: a theory and method of scale construction. In P. Horst, et al.,The prediction of personal adjustment. New York: Social Science Research Council, 1941; pp. 319–347.Google Scholar
  3. Intensity and a zero point for attitude analysis (with Edward A. Suchman).American Sociological Review, 1947,12, 57–67.Google Scholar
  4. The principal components of scale analysis. In S. A. Stouffer, et al.,Measurement and prediction. Princeton: Princeton Univ. Press, 1950; pp. 312–361.Google Scholar
  5. Reliability formulas that do not assume experimental independence.Psychometrika, 1953,18, 225–239.Google Scholar
  6. A note on Sir Cyril Burt's ‘Factorial analysis of qualitative data’.The British Journal of Psychology Statistical Section, 1953,6, 1–4.Google Scholar
  7. The principal components of scalable attitudes. In P. F. Lazarsfeld (ed.),Mathematical thinking in the social sciences. Glencoe, Illinois: The Free Press, 1954; pp. 216–257.Google Scholar
  8. An additive metric from all the principal components of a perfect scale.The British Journal of Statistical Psychology, 1955,8, 17–24.Google Scholar
  9. To what extent can communalities reduce rank?Psychometrika, 1958,23, 297–308.Google Scholar
  10. What lies ahead for factor analysis?Educational and Psychological Measurement, 1958,18, 497–515. Reprinted as: A psychological design for a theory of mental abilities. In D. N. Jackson and S. Messick (editors),Problems in human assessment, McGraw-Hill, New York, 1967; pp. 438–446.Google Scholar
  11. A structural theory for intergroup beliefs and action.American Sociological Review, 1959,24, 318–328.Google Scholar
  12. Metricizing rank-ordered or unordered data for a linear factor analysis.Sankhya: The Indian Journal of Statistics, 1959,21, 257–268.Google Scholar
  13. Une histoire personnelle du development de l'analyse scalaire.Revue de Psychologie Appliquee, 1960,10, 93–100.Google Scholar
  14. The structure of interrelations among intelligence tests.Proceedings of the 1964 Invitational Conference on Testing Problems. Princeton: Educational Testing Service, 1965; pp. 25–36.Google Scholar
  15. A faceted definition of intelligence.Studies in Psychology, Scripta Hierosolymitana. Jerusalem: Hebrew University, 1965,14, 166–181.Google Scholar
  16. The nonmetric breakthrough for the behavioral sciences.Proceedings of the Second National Conference on Data Processing. Rehovot: Information Processing Association of Israel, 1966, pp. 495–510. Also inMegamot, 1967,15, 50–65 (Hebrew).Google Scholar
  17. The development of nonmetric space analysis: a letter to Professor John Ross.Multivariate Behavioral Research, 1967,2, 71–82.Google Scholar
  18. A general nonmetric technique for finding the smallest coordinate space for a configuration of points.Psychometrika, 1968,33, 469–506.Google Scholar
  19. Smallest space analysis of intelligence and achievement tests (with I. M. Schlesinger).Psychological Bulletin, 1969,71, 95–100.Google Scholar
  20. Review of Lord and Novick'sStatistical theories of mental test scores.Psychometrika, 1969,34, 398–404.Google Scholar
  21. Integration of test design and analysis.Proceedings of the 1969 Invitational Conference on Testing Problems. Princeton: Educational Testing Service, 1970, pp. 53–65.Google Scholar
  22. Structure and dynamics of worries: A multivariate analysis of worries relating to the public and the individual since the Six Day War and to July 1970. (with Shlomit Levy). Jerusalem: The Israel Institute of Applied Social Research and The Communications Institute of the Hebrew University, December 1970. (Hebrew)Google Scholar
  23. Social problem indicators.The Annals of the American Academy of Political and Social Science, 1971,393, 40–46.Google Scholar
  24. Louis Guttman A partial-order scalogram classification of projective techniques. (To appear in the Fest-schrift in honor of Joseph Zubin).Google Scholar

Copyright information

© Psychometric Society 1971

Authors and Affiliations

  • Louis Guttman
    • 1
  1. 1.Hebrew University and Israel Institute of Applied Social ResearchUSA

Personalised recommendations