An Introduction to the Uses of Facet Theory

  • Jennifer Brown
Part of the Springer Series in Social Psychology book series (SSSOC)


There are many ways to conduct research. Choice of topic, data collecting techniques, and analytical procedures derive from the training, traditions, predilections of, and the practical restraints acting upon the investigator. Choosing the facet approach requires a shift in thinking, an imaginative leap even, not only in the conception of the research problem but also in the design and execution of the inquiry.


Mover Type Residential Mobility Housing Satisfaction Family Life Cycle Content Facet 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Abrams, C. (1964). Man’s struggle for shelter in an urbanising world. Cambridge, Mass.: MIT. Google Scholar
  2. Borg, I. (1977). Some basic concepts in facet theory. In J. C. Lingoes, E. E. Roskam, & I. Borg (Eds.) Geometric representation of relational data. Ann Arbor: Mathesis.Google Scholar
  3. Borg, I. (Ed.). (1981). Multidimensional data representations, when and why. Ann Arbor: Mathesis. Google Scholar
  4. Brown, J. (1980). The role of motivation in moving and buying a house. Unpublished doctoral dissertation. University of Surrey, Guildford.Google Scholar
  5. Brown, J. (1983). The structure of motives for moving a multidimensional model of residential mobility. Environment and Planning A, 15, 1531 – 1544.CrossRefGoogle Scholar
  6. Brown, J. & Sime, J. (1981). A methodology for accounts. In M. Brenner (Ed.), Social method and social life. London: Academic.Google Scholar
  7. Brown, J., and Armstrong, R. (1982). The structure of pupil’s worries during transition from junior to secondary school. British Educational Research Journal 8, 123 – 131.CrossRefGoogle Scholar
  8. Canter, D. (1983). The potential of facet theory for applied social psychology. Quality and Quantity, 17, 35 – 67.CrossRefGoogle Scholar
  9. Canter, D., Ambrose, I., Brown, J., Comber, M., & Hirsch, A. (1980). Prison design and use. Unpublished internal report, University of Surrey, Guildford.Google Scholar
  10. Canter, D., & Brown, J. (1981). Explanatory roles. InC. Antaki, (Ed.), The psychology of ordinary explanations of social behaviour. London: Academic.Google Scholar
  11. Canter, D., & Rees, K. (1982). A multivariate model of housing satisfaction. International Review of Applied Psychology, 31, 185 – 208.CrossRefGoogle Scholar
  12. Coxon, A. P. M. (1982). The user’s guide to multi-dimensional scaling with special reference to the MDS ( X) library of computer programs, London. Heinemann Educational.Google Scholar
  13. Cullingworth, J. D. (1965). English housing trends (occasional papers in social administration B). London: Bell arid Hyman.Google Scholar
  14. Edwards, W., Guttentag, M., & Snapper, K. (1968). A decision theoretical approach to evaluation research. In E. L. Struening and M. Guttentag (Eds.), Handbook of evaluation research, Vol. 1 (pp. 139 – 181 ). Beverly Hills, CA: Sage.Google Scholar
  15. Elizur, D., & Shye, S. (1976). The inclination to reimmigrate: a structural analysis of the case of Israelis residing in France and in the USA. Human Relations, 29, 73 – 84.CrossRefGoogle Scholar
  16. Foa, U. (1965). New developments in Facet design and analysis. Psychological Review, 72, 262 – 274.PubMedCrossRefGoogle Scholar
  17. Forgas, J. P. (1979). Multidimensional scaling; a discovery method in social psychology. In G. P. Ginsburg (Ed.), Emerging strategies in social psychological research, (pp. 253 – 288 ). Chichester: Wiley.Google Scholar
  18. Gabriel, R. K. (1954). Simplex structure of the progressive matrices test. British Journal of Statistical Psychology, 7, (Part I), 9 – 14.CrossRefGoogle Scholar
  19. Gessler, S. F. (1981). An evaluation of a community oriented residential unit for mentally handicapped people by staff and parents. Unpublished thesis. University of Surrey, Guilford.Google Scholar
  20. Guttman, L. (1965). A general nonmetric technique for finding the smallest co-ordinate space for a configuration. Psychometrika, 33, 469 – 506.CrossRefGoogle Scholar
  21. Guttman, L. (1970). The facet approach to theory development. Jerusalem, Israel Institute of Applied Social Research. Unpublished mimeograph.Google Scholar
  22. Guttman, L. (1981). What is not what in theory construction. In I. Borg, (Ed.), Multidimensional data representations; when and why. Ann Arbor: Mathesis.Google Scholar
  23. Guttman, R., & Guttman, L. (1974). Nonmetric analysis of genetic relationships among inbred strains of mice. Systematic Zoology, 23, 355 – 362.CrossRefGoogle Scholar
  24. Ineichen, B. (1973). Housing classes and housing careers. Social and Administration Quarterly, 7, 30 – 38.Google Scholar
  25. Kenny, C., & Canter, D. (1981). A facet structure for nurses’ evaluations of ward designs. Journal of Occupational Psychology, 54, 93 – 108.CrossRefGoogle Scholar
  26. Laumann, E., & Guttman, L. (1966). The relative associational contiguity of occupations in an urban society. American Sociological Review, 31, 169 – 178.CrossRefGoogle Scholar
  27. Levy, S. (1976). Use of the mapping sentence for coordination theory and research; a cross cultural example. Quality and Quantity, 10, 117 – 125.CrossRefGoogle Scholar
  28. Levy, S. (1981). Lawful roles of facets in social theories. In I. Borg, (Ed.), Multidimensional data representations; when and why, (pp. 65 – 107 ). Ann Arbor: Mathesis.Google Scholar
  29. Levy, S., & Guttman, L. (1975). On the multivariate structure of well being. Social Indicators Research, 2, 361 – 388.CrossRefGoogle Scholar
  30. Lingoes, J. C. (1973). The Guttman-Lingoes nonmetric program series. Ann Arbor: Mathesis.Google Scholar
  31. Lingoes, J. C. (Ed.). (1977). Geometric representations of relational data. Ann Arbor: Mathesis.Google Scholar
  32. Lingoes, J. C., & Borg, I. (1977). Identifying spatial manifolds for interpretation. In J. C. Lingoes, (Ed.), Geometric representation of relational data. Ann Arbor: Mathesis.Google Scholar
  33. Lorr, M., & McNair, D. (1963). Interpersonal behaviour circle. Journal of Abnormal and Social Psychology, 67, 68 – 75.CrossRefGoogle Scholar
  34. Marans, R. W., & Spreckelmeyer, K. F. (1981). Evaluating built environments: a behavioural approach. Ann Arbor: Institute for Social Research/College of Architecture and Urban Planning, University of Michigan.Google Scholar
  35. Marcus, J., Auebach, J., Wilkinson, L., & Burack, C. M. (1981). Infants at risk from schizophrenia, Archives of General Psychiatry, 38, 703 – 713.PubMedGoogle Scholar
  36. McGrath, J. E. (1967). A multifacet approach to classification of individual groups and organisations. Concepts. In B. P. Indik, & K. F. Berrien, (Eds.), People groups and organisations. New York: Columbia University.Google Scholar
  37. Michelson, W. (1977). Environmental choice, human behaviour, and residential satisfaction. New York: Oxford University.Google Scholar
  38. Moore, E. (1975). Residential mobility in the city. Unpublished report. Association of America Geographers, Washington, D.C. (RP 13 ).Google Scholar
  39. Muedeking, G., & Bahr, H. (1976). A smallest space analysis of skid row men’s behaviours. Pacific Sociological Review, 19, 275 – 290.Google Scholar
  40. Murie, A. (1974). Household movement and housing choice. Unpublished report. Centre for Urban and Regional Studies, University of Birmingham (OP28).Google Scholar
  41. Payne, R. L., Fineman, S., & Wall, T. D. (1976). Organizational climate and job satisfaction; a conceptual synthesis. Organisational Behaviour and Human Performance, 16, 45 – 62.CrossRefGoogle Scholar
  42. Porteous, J. D. (1977). Environment and behaviour: Planning and everyday urban life. Reading, Mass.: Addison-Wesley. Google Scholar
  43. Rossi, P. H. (1955). Why families move. New York: Free Press.Google Scholar
  44. Runkel, P. J., & McGrath, J. E. (1972). Research on human behaviour: A systematic guide to method. New York: Hold Rinehart and Winston.Google Scholar
  45. Shalit, B. (1977). Structural ambiguity and limits to coping. Journal of Human Stress, 3, 32 – 46.PubMedGoogle Scholar
  46. Shalit, B., et al. (1983). Coherence of appraisal and coping; parachute jump effectiveness. Unpublished report. Stockholm, Rational Defence Research Institute (FOA Report C 55058 – 113 ).Google Scholar
  47. Shapira, Z., & Zevulun, E. (1979). On the use of facet analysis in organizational behavioural research. Organizational Behaviour and Human Performance, 23, 411 – 428.CrossRefGoogle Scholar
  48. Schiffman, S., Reynolds, M., & Young, F. (1981). Introduction to multidimensional scaling: Theory, methods and applications. New York: Academic.Google Scholar
  49. Shapira, Z. (1976). A facet analysis of leadership styles. Journal of Applied Psychology, 61, 136 – 139.PubMedCrossRefGoogle Scholar
  50. Shye, S. (Ed.). (1978a). Theory, construction and data analysis in the behavioural sciences. San Francisco: Jossey-Bass.Google Scholar
  51. Shye, S., & Elizur, D. (1976). Worries about deprivation of job rewards following computerization; a partial order scalogram analysis. Human Relations, 29, 63 – 71.CrossRefGoogle Scholar
  52. Speare, A. (1970). Home ownership, lifecycle stage and residential mobility. Demography, 7, 449 – 458.PubMedCrossRefGoogle Scholar
  53. Taylor, J. C. (1971). An empirical examination of a four factor theory of leadership using smallest space analysis. Organizational Behaviour and Human Performance, 6, 249 – 266.CrossRefGoogle Scholar
  54. Van Der Ven, A. H. G. S., (1980). Introduction to scaling. Chichester: Wiley.Google Scholar
  55. Weinstein, E. T. A. (1975). The movement of owner occupier households between regions. Regional Studies, 9, 137 – 145.CrossRefGoogle Scholar
  56. White, S., & Mitchell, T. (1916). Organization development; a review of research content and research design. Academy of Management Review, 7, 57 – 73.Google Scholar
  57. Wolpert, J. (1966). Migration as an adjustment to environmental stress. Journal of Social Issues, 22, 92 – 102.CrossRefGoogle Scholar
  58. Zevulun, E. (1978). Multidimensional scalogram analysis, the method and its application. In S. Shye, (Ed.) Theory construction and data analysis in the behavioural sciences(pp. 237 – 264 ). San Francisco: Jossey-Bass.Google Scholar

Copyright information

© Springer-Verlag New York Inc. 1985

Authors and Affiliations

  • Jennifer Brown

There are no affiliations available

Personalised recommendations