Reporting and interpreting research in PSPB: Practices, principles, and pragmatics

Personality and Social Psychology Bulletin

Volumn 35, Issue 9, 2009, Pages 1131-1142

  Kashy, Deborah A ^a   Brent Donnellan, M ^a   Ackerman, Robert A ^a   Russell, Daniel W ^b  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b IOWA STATE UNIVERSITY   (United States)

Author keywords

Data analysis; Personality psychology; Research methods; Research reporting; Social psychology

Indexed keywords

ARTICLE; HUMAN; METHODOLOGY; PERSONALITY; PUBLICATION; PUBLISHING; REPRODUCIBILITY; RESEARCH; SOCIAL PSYCHOLOGY; STATISTICAL ANALYSIS; STATISTICS; UNITED STATES; WRITING;

AUTHORSHIP; DATA INTERPRETATION, STATISTICAL; EDITORIAL POLICIES; HUMANS; PERIODICALS AS TOPIC; PERSONALITY; PSYCHOLOGY, SOCIAL; REPRODUCIBILITY OF RESULTS; RESEARCH; RESEARCH DESIGN; UNITED STATES;

EID: 69949188888     PISSN: 01461672     EISSN: 15527433     Source Type: Journal    
DOI: 10.1177/0146167208331253     Document Type: Article

References (59)

1. Adair, J. G., & Vohra, N. (2003). The explosion of knowledge, references, and citations: Psychology's unique response to a crisis. American Psychologist, 58, 15-23.
2. Aiken, L. S., West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage.
3. American Psychological Association. (2001). Publication manual of the American Psychological Association (5th ed.). Washington, DC: American Psychological Association.
4. Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 411-423.
5. Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182.
6. Barrett, P. (2007). Structural equation modeling: Adjudging model fit. Personality and Individual Differences, 42, 815-824.
7. Cliff, N. (1988). The eigenvalues-greater-than-one rule and the reliability of components. Psychological Bulletin, 103, 276-279.
8. Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Hillsdale, NJ: Lawrence Erlbaum.
9. Courville, T., & Thompson, B. (2001). Use of structure coefficients in published multiple regression articles: β is not enough. Educational and Psychological Measurement, 61, 229-248.
10. Cumming, G., Fidler, F., Leonard, M., Kalinowski, P., Christiansen, A., Kleinig, A., et al. (2007). Statistical reform in psychology: Is anything changing? Psychological Science, 18, 230-232.
11. Cumming, G., & Finch, S. (2005). Inference by eye: Confidence intervals and how to read pictures of data. American Psychologist, 60, 170-180.
12. Dearing, E., & Hamilton, L. C. (2006). Contemporary advances and classic advice for analyzing mediating and moderating variables. Monographs of the Society for Research in Child Development, 71(3), 88-104.
13. Edwards, J. R., & Lambert, L. S. (2007). Methods for integrating moderation and mediation: A general analytic framework using moderated path analysis. Psychological Methods, 12, 1-22.
14. Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
15. Enders, C. K., & Tofighi, D. (2007). Centering predictor variables in cross-sectional multilevel models: A new look at an old issue. Psychological Methods, 12, 121-138.
16. Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272-299.
17. Fraley, R. C., & Marks, M. J. (2007). The null hypothesis significance testing debate and implications for personality research. In R. Robins, R. C Fraley, & R. F. Krueger (Eds.), Handbook of research methods in personality (pp. 149-169). New York: Guilford.
18. Freese, J. (2007). Replication standards for quantitative social science: Why not sociology? Sociological Methods & Research, 36, 153-172.
19. Harris, R. J. (1997). Significance tests have their place. Psychological Science, 8, 8-11.
20. Hoyle, R. H., & Duvall, J. L. (2004). Determining the number of factors in exploratory and confirmatory factor analysis. In D. Kaplan (Ed.), Handbook of quantitative methodology for the social sciences (pp. 301-315). Thousand Oaks, CA: Sage.
21. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
22. Judd, C. M., & Kenny, D. A. (1981). Process analysis: Estimating mediation in treatment evaluations. Evaluation Review, 5, 602-619.
23. Kline, R. B. (2004). Beyond significance testing: Reforming data analysis methods in behavioral research. Washington, DC: American Psychological Association.
24. Kreft, I. G. G., de Leeuw, J., & Aiken, L. S. (1995). The effect of different forms of centering in hierarchical linear models. Multilevel Behavioral Research, 30, 1-21.
25. Little, T. D., Cunningham, W.A., Shahar, G., & Widaman, K.F. (2002). To parcel or not to parcel: Exploring the question, weighing the merits. Structural Equation Modeling, 9, 151-173.
26. Lynam, D. R., Hoyle, R. H., & Newman, J. P. (2006). The perils of partialling: Cautionary tales from aggression and psychopathy. Assessment, 13, 328-341.
27. MacCallum, R. C. (1986). Specification searches in covariance structure modeling. Psychological Bulletin, 100, 107-120.
28. MacCallum, R. C., Wegener, D. T., Unchino, B. N., & Fabrigar, L. R. (1993). The problem of equivalent models in applications of covariance structure analysis. Psychological Bulletin, 114, 185-199.
29. MacCallum, R. C., Zhang, S., Preacher, K. J., & Rucker, D. D. (2002). On the practice of dichotomization of quantitative variables. Psychological Methods, 7, 19-40.
30. MacKinnon, D. P. (2008). An introduction to statistical mediation analysis. Mahwah, NJ: Erlbaum.
31. MacKinnon, D. P., Fairchild, A. J., & Fritz, M. (2007). Mediation analysis. Annual Review of Psychology, 58, 593-614.
32. MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7, 83-104.
33. Marsh, H. W., Hau, K., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cut-off values for fit indexes and dangers in overgeneralizing Hu and Bentler's (1999) findings. Structural Equation Modeling, 11, 320-341.
34. Maxwell, S. E., & Delaney, H. D. (1993). Bivariate median splits and spurious statistical significance. Psychological Bulletin, 113, 181-190.
35. McDonald, R. P., & Ho, M. H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7, 64-82.
36. McKnight, P. E., McKnight, K. M., Sidani, S., & Figueredo, A. J. (2007). Missing data: A gentle introduction. New York: Guilford.
37. Muller, D., Judd, C. M., & Yzerbyt, V. Y. (2005). When moderation is mediated and mediation is moderated. Journal of Personality and Social Psychology, 89, 852-863.
38. Noftle, E. E., & Shaver, P. R. (2006). Attachment dimensions and the Big Five personality traits: Associations and comparative ability to predict relationship quality. Journal of Research in Personality, 40, 179-208.
39. O'Connor, B. P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test. Behavior Research Methods, Instruments, & Computers, 32, 396-402.
40. Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36, 717-731.
41. Preacher, K. J., & Hayes, A. F. (2007). Contemporary approaches to assessing mediation in communication research. In A. F. Hayes, M. D. Slater, & L. B. Snyder (Eds.), The Sage sourcebook of advanced data analysis methods for communication research. Thousand Oaks, CA: Sage.
42. Preacher, K. J., Rucker, D. D., MacCallum, R. C., & Nicewander, W. A. (2005). Use of the extreme groups approach: A critical reexamination and new recommendations. Psychological Methods, 10, 178-192.
43. Raudenbush, S. W., Bryk, A., Cheong, Y. F., & Congdon, R. (2004). HLM6: Hierarchical linear and nonlinear modeling. Chicago: Scientific Software International.
44. Reis, H.T. & Stiller, J. (1992). Publication trends in JPSP: A three-decade review. Personality and Social Psychology Bulletin, 18, 465-472.
45. Rosenthal, R., & Rosnow, R. L. (2008). Essentials of behavioral research: Methods and data analysis (3rd ed.). New York: McGraw-Hill.
46. Russell, D. W. (2002). In search of underlying dimensions: The use (and abuse) of factor analysis in Personality and Social Psychology Bulletin. Personality and Social Psychology Bulletin, 28, 1629-1646.
47. Schafer, J. L. & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147-177.
48. Sherman, R. C., Buddie, A. M., Dragan, K. L., End, C. M., & Finney, L. J. (1999). Twenty years of PSPB: Trends in content, design & analysis. Personality and Social Psychology Bulletin, 25, 177-187.
49. Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7, 422-445.
50. Sinharay, S., Stern, H. S., & Russell, D.W. (2001). The use of multiple imputation for the analysis of missing data. Psychological Methods, 6, 317-329.
51. Spencer, S. J., Zanna, M. P., & Fong, G. T. (2005). Establishing a causal chain: Why experiments are often more effective in examining psychological process than mediational analyses. Journal of Personality and Social Psychology, 89, 845-851.
52. Steiger, J. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 25, 173-180.
53. Tabachnick, B. G., & Fidell, L. S. (2001). Computer-assisted research design and analysis. Boston: Allyn & Bacon.
54. Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4-69.
55. West, S. G., Aiken, L. S., Wu, W., & Taylor, A. B. (2007). Multiple regression: Applications of the basics and beyond in personality research. In R. Robins, R. C. Fraley, & R. F. Krueger (Eds.), Handbook of research methods in personality (pp. 149-169). New York: Guilford.
56. West, S. G., Newsom, J. T., & Fenaughty, A. M. (1992). Publication trends in JPSP: Stability and change in the topics, methods, and theories across two decades. Personality and Social Psychology Bulletin, 18, 473-484.
57. Wicherts, J. M., Borsboom, D., Kats, J., & Molenaar, D. (2006). The poor availability of psychological research data for reanalysis. American Psychologist, 61, 726-728.
58. Widaman, K. F. (2007). Common factors versus components: Principals and principles, errors and misconceptions. In R. Cudeck & R. C. MacCallum (Eds.), Factor analysis at 100: Historical developments and future directions (pp. 177-203). Mahwah, NJ: Erlbaum.
59. Wilkinson, L., & Task Force on Statistical Inference. (1999). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54, 594-604.