Experimental Personality Designs: Analyzing Categorical by Continuous Variable Interactions

Journal of Personality

Volumn 64, Issue 1, 1996, Pages 1-48

  West, Stephen G ^a   Aiken, Leona S ^a   Krull, Jennifer L ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BEHAVIOR; ANALYSIS OF VARIANCE; ARTICLE; EGO DEVELOPMENT; FEEDBACK SYSTEM; HUMAN; PERSONALITY TEST; PSYCHOMETRY; REGRESSION ANALYSIS; REPRODUCIBILITY; SELF CONCEPT; SOCIAL DESIRABILITY; STATISTICS;

ADAPTATION, PSYCHOLOGICAL; ANALYSIS OF VARIANCE; FEEDBACK; HUMANS; PERSONALITY DEVELOPMENT; PERSONALITY INVENTORY; PERSONALITY TESTS; PSYCHOMETRICS; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SELF CONCEPT; SOCIAL DESIRABILITY;

EID: 85045503098     PISSN: 00223506     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1467-6494.1996.tb00813.x     Document Type: Article

References (50)

1. Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage.
2. Atkinson, J. W., & Feather, N. T. (1966). A theory of achievement motivation. New York: Wiley.
3. Campbell, J. D. (1993, August). Clarity of the self-concept. Invited address, American Psychological Association, Toronto, Ontario.
4. Chaplin, W. F. (1991). The next generation of moderator research in personality psychology. Journal of Personality, 59, 143-178.
5. Cleveland, W. S. (1993). Visualizing data. Summit, NJ: Hobart Press (AT&T Bell Laboratories).
6. Cleveland, W. S. (1994). The elements of graphing data (rev. ed.). Summit, NJ: Hobart Press (AT&T Bell Laboratories).
7. Cohen, J. (1968). Multiple regression as a general data-analytic system. Psychological Bulletin, 70, 426-443.
8. Cohen, J. (1978). Partialed products are interactions; partialed vectors are curve components. Psychological Bulletin, 85, 858-866.
9. Cohen, J. (1983). The cost of dichotomization. Applied Psychological Measurement, 7, 249-253.
10. Cohen, J. (1994). The earth is round (p < .05). American Psychologist, 49, 997-1003.
11. Cohen, J., & Cohen, P. (1983). Applied multiple regression/correlation analyses for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
12. Cook, R. D., & Weisberg, S. (1994). An introduction to regression graphics. New York: Wiley.
13. Cronbach, L. J., & Snow, R. E. (1977). Aptitudes and instructional methods. New York: Irvington.
14. Darlington, R. B. (1990). Regression and linear models. New York: McGraw-Hill.
15. Fisher, R. A. (1935). The design of experiments. London: Oliver & Boyd.
16. Friedrich, R. J. (1982). In defense of multiplicative terms in multiple regression equations. American Journal of Political Science, 26, 797-833.
17. Hamilton, L. C. (1992). Regression with graphics: A second course in applied statistics. Belmont, CA: Duxbury.
18. Hardy, M. A. (1993). Regression with dummy variables. Newbury Park, CA: Sage.
19. Jaccard, J., Turrisi, R., & Wan, C. K. (1990). Interaction effects in multiple regression. Newbury Park, CA: Sage.
20. Judd, C. M., & McClelland, G. H. (1989). Data analysis: A model-comparison approach. San Diego: Harcourt Brace Jovanovich.
21. Kernis, M. H., Cornell, C. P., Sun, C-R., Berry, A., & Harlow, T. (1993). There's more to self-esteem than whether it is high or low: The importance of stability of self-esteem. Journal of Personality and Social Psychology, 65, 1190-1204.
22. Kirk, R. E. (1995). Experimental design: Procedures for the behavioral sciences (3rd ed.). Pacific Grove, CA: Brooks/Cole.
23. Krahé, B. (1992). Personality and social psychology: Towards a synthesis. London: Sage.
24. Magnusson, D., & Endler, N. S. (Eds.). (1977). Personality at the crossroads: Current issues in interactional psychology. Hillsdale, NJ: Erlbaum.
25. Marascuilo, L. A., & Levin, J. R. (1983). Multivariate statistics in the social sciences: A researcher's guide. Monterey, CA: Brooks/Cole.
26. Marquardt, D. W. (1980). You should standardize the predictor variables in your regression models. Journal of the American Statistical Association, 75, 87-91.
27. Marsh, P. L. (1994). A review and comparison of five graphics programs for PC-DOS and MS-DOS computers. American Statistician, 48, 44-51.
28. MathSoft, Inc. (1995). S-PLUS Trellis Graphics user's manual, Version 3.3. Seattle: Author.
29. Maxwell, S. E., & Delany, H. D. (1993). Bivariate median splits and spurious statistical sienificance. Psychological Bulletin, 113, 181-190.
30. McClelland, G. H., & Judd, C. M. (1993). Statistical difficulties of detecting interactions and moderator effects. Psychological Bulletin, 114, 376-390.
31. Nash, J. C. (1994). Tools for including statistical graphics in applications programs. American Statistician, 48, 52-57.
32. Neter, J., Wasserman, W., & Kutner, M. H. (1989). Applied linear regression models (2nd ed.). Homewood, IL: Irwin.
33. Pedhazur, E. J. (1982). Multiple regression in behavioral research (2nd ed.). New York: Holt, Reinhart & Winston.
34. Peixoto, J. L. (1987). Hierarchical variable selection in polynomial regression models. American Statistician, 41, 311-313.
35. Pitts, S. C., & West, S. G. (1995). Alternative sampling designs to detect interactions in multiple regression. Manuscript submitted for publication.
36. Rosenberg, M. (1965). Society and the adolescent self-image. Princeton: Princeton University Press.
37. Rosenthal, R., & Rosnow, R. L. (1985). Contrast analysis: Focused comparisons in the analysis of variance. Cambridge: Cambridge University Press.
38. Rotter, J. B. (1966). Generalized expectancies for internal versus external control of reinforcement. Psychological Monographs, 80 (Whole No. 609).
39. Rotter, J. B., & Mulry, R. C. (1965). Internal versus external control of reinforcements and decision time. Journal of Personality and Social Psychology, 2, 598-604.
40. Saunders, D. R. (1956). Moderator variables in prediction. Educational and Psychological Measurement, 16, 209-222.
41. Serlin, R. C., & Levin, J. R. (1985). Teaching how to derive directly interpretable coding schemes for multiple regression analysis. Journal of Educational Statistics, 10, 223-238.
42. Snyder, M., & Ickes, W. (1985). Personality and social behavior. In G. Lindzey & E. Aronson (Eds.), The handbook of social psychology (3rd ed., Vol. 2, pp. 883-948). New York: Random House.
43. Stanford Graphics. (1994). Stanford graphics presentation and analysis user's guide. Houston: Visual Numerics.
44. StatSci. (1995). S-PLUS user's manual, Version 3.3 for Windows. Seattle: Author.
45. Stone-Romero, E. F., & Anderson, L. E. (1994). Relative power of moderated multiple regression and the comparison of subgroup correlation coefficients for detecting moderating effects. Journal of Applied Psychology, 79, 354-459.
46. Suits, D. B. (1984). Dummy variables: Mechanics v. interpretation. Review of Economics and Statistics, 66, 177-180.
47. TriMetrix, Inc. (1993). Axum (Version 2.0): User's guide. Seattle: Author.
48. Winer, B. J. (1971). Statistical principles in experimental design (2nd ed.). New York: McGraw-Hill.
49. Winer, B. J., Brown, D. R., & Michels, K. M. (1991). Statistical principles in experimental design (3rd ed.). New York: McGraw-Hill.
50. Wolfram, S. (1991). Mathematica: A system for doing mathematics by computer (2nd ed.). Reading, MA: Addison-Wesley.