Determining the significance of scale values from multidimensional scaling profile analysis using a resampling method

Behavior Research Methods

Volumn 37, Issue 1, 2005, Pages 37-47

  Ding, Cody S ^a  

^a UNIVERSITY OF MISSOURI ST LOUIS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTER SIMULATION; CONFIDENCE INTERVAL; DECISION MAKING; EPIDEMIOLOGY; HUMAN; INDIVIDUALITY; PSYCHOLOGIC TEST; PSYCHOLOGY; REPRODUCIBILITY; STATISTICAL MODEL; STATISTICS;

CAREER CHOICE; COMPUTER SIMULATION; CONFIDENCE INTERVALS; HUMANS; INDIVIDUALITY; MODELS, STATISTICAL; PSYCHOLOGICAL TESTS; PSYCHOLOGY, EXPERIMENTAL; REPRODUCIBILITY OF RESULTS; SAMPLING STUDIES;

EID: 25144500222     PISSN: 1554351X     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03206396     Document Type: Article

References (30)

1. BORG, I., & GROENEN, P. (1997). Modern multidimensional scaling: Theory and applications. New York: Springer-Verlag.
2. CAMPBELL, D. P., & HANSEN, J. C. (1985). Strong - Campbell interest inventory. Palo Alto, CA: Stanford University Press.
3. DAVISON, M. L. (1983). Multidimensional scaling. Malabar, FL: Krieger.
4. DAVISON, M L. (1994). Multidimensional scaling models of personality responding. In S. Strack & M. Lorr (Eds.), Differentiating normal and abnormal personality (pp. 196-215 ). New York: Springer-Verlag.
5. DAVISON, M. L., GASSER, M., & DING, S. (1996). Identifying major profile patterns in a population: An exploratory study of WAIS and GATB patterns. Psychological Assessment, 8, 26-31.
6. EFRON, B.(1979). Computers and the theory of statistics: Thinking the unthinkable. SI AM Review, 21, 460-480.
7. EFRON, B., & TIBSHIRANI, R. J. (1993). An introduction to the bootstrap. New York: Chapman & Hall.
8. Fox, J. (1997). Applied regression analysis, linear models, and related methods. Thousand Oaks, CA: Sage.
9. GOODRUM, A. A. (2001 ). Multidimensional scaling of video surrogates. Journal of the American Society for Information Science & Technology, 52, 174-182.
10. HJORTH, U. (1994). Computer intensive statistical methods: Validation model selection and bootstrap. New York: Chapman & Hall.
11. HOGAN, R. (1983). Socioanalytic theory of personality. In M. M. Page (Ed.), 1982 Nebraska symposium on motivation: Personality - current theory and research (pp. 55-89). Lincoln: University of Nebraska Press.
12. HOLLAND, J. L. (1973). Making vocational choices: A theory of careers. Englewood Cliffs, NJ: Prentice-Hall.
13. JACOBOWITZ, D. (1975). The acquisition of semantic structures. Unpublished doctoral dissertation. University of North Carolina, Chapel Hill.
14. JOHNSON, L. (1995). A multidimensional analysis of the vocational aspirations of college students. Measurement & Evaluation in Counseling & Development, 28, 25-44.
15. KRUSKAL, J. B. (1964). Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika, 29, 1-27.
16. MCWHIRTER, B. T., PALOMBI, B., & GARBIN, C. P. (2000). University employees' perceptions of university counseling center services and consultation activities: A multidimensional scaling analysis. Journal of College Counseling, 3, 142-157.
17. PADULA, M. A., CONOLEY, C. W., & GARBIN, C. P. (1998). The dimensions underlying loneliness counseling interventions: A multidimensional scaling solution. Journal of Counseling & Development, 76, 442-451.
18. PREDIGER, D. J. (1982). Dimensions underlying Holland's hexagon: Missing link between interests and occupations? Journal of Vocational Behavior, 21, 259-287.
19. RAMSAY, J. O. (1977). Maximum likelihood estimation in multidimensional scaling. Psychometrika, 42, 241-266.
20. RAYMOND. M. R. (1989). Applications of multidimensional scaling to research in the health professions. Evaluation & the Health Professions, 12, 379-408.
21. SAS INSTITUTE (2000). Jackboot.sas. Cary: NC: Author.
22. SIMON, J. L., & BRUCE, P. (1991). Resampling: A tool for everyday statistical work. Chance, 4, 22-32.
23. SIRECI, S. G., & GEISINGER, K. F. (1992). Analyzing test content using cluster analysis and multidimensional scaling. Applied Psychological Measurement, 16, 17-31.
24. STINE, R. (1990). An introduction to bootstrap methods: Examples and ideas. In J. Fox & J. S. Long (Eds.), Modern methods of data analysis (pp. 325-373). Newbury Park, CA: Sage.
25. THOMAS, J. A., & STOCK, W. A. (1988). The concept of happiness: A multidimensional scaling investigation. International Journal of Aging & Human Development, 27, 141-154.
26. TITTLE, C. K. ( 1996). Investigating the construct validity of scores from a measure of student perceptions about mathematics classroom activities using multidimensional scaling. Educational & Psychological Measurement, 56, 701 -709.
27. TRACEY, T. J., & ROUNDS, J. B. (1993). Evaluating Holland's and Gati's vocational-interest models: A structural meta-analysis. Psychological Bulletin, 113, 229-246.
28. TREAT, T. A., MCFALL, R. M., VIKEN, R. J., NOSOFSKY, R. M., MACKAY, D. B., & KRUSCHKE, J. K. (2002). Assessing clinically relevant perceptual organization with multidimensional scaling techniques. Psychological Assessment, 14, 239-252.
29. WEINBERG, S. L., CARROLL. J. D., & COHEN, H. S. (1984). Confidence regions for INDSCAL using the jackknife and bootstrap techniques. Psychometrika, 49, 475-491.
30. YOUNG, G. A. (1994). Bootstrap: More than a stab in the dark? [with commentary]. Statistical Science, 9, 382-415.