Abstract
Measuring human motivation requires understanding the outcomes individuals value and the strategies they prefer to employ to attain them. Knowledge of promotion and prevention, two pivotal motivation orientations, provide key information regarding these aspects. The Regulatory Focus Questionnaire, which measures these two independent constructs, was validated using data provided by university students and alumni of an elite U.S. university. Thus, little is known whether this instrument provides reliable and valid measures of promotion and prevention in a population of younger respondents from a different culture. To bridge this gap, the study employed data collected from three independent large samples of New Zealand secondary school students and used the jigsaw piecewise technique in combination with confirmatory factor analyses. Findings show that, in this population, items in the Regulatory Focus Questionnaire measure promotion and prevention as theoretically distinct constructs.
|
Arbuckle, J. L. (1996). Full information in the presence of incomplete data. In Marcoulides, G. A., Schumacker, R. E. (Eds.), Advanced structural equation modeling: Issues and techniques (pp. 243-277). Mahwah, NJ: Lawrence Erlbaum. Google Scholar | |
|
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238-246. doi:10.1037//0033-2909.107.2.238 Google Scholar | Crossref | Medline | ISI | |
|
Bollen, K. A. (2000). Modeling strategies: In search of the Holy Grail. Structural Equation Modeling: A Multidisciplinary Journal, 7, 74-81. doi:10.1207/S15328007SEM0701_03 Google Scholar | Crossref | ISI | |
|
Clark, L. A., Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7, 309-319. doi:10.1037/1040-3590.7.3.309 Google Scholar | Crossref | ISI | |
|
Curran, P. J., West, S. G., Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1, 16-29. doi:10.1037/1082-989X.1.1.16 Google Scholar | Crossref | ISI | |
|
Eccles, J. S., Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109-132. doi:10.1146/annurev.psych.53.100901.135153 Google Scholar | Crossref | Medline | ISI | |
|
Fan, X., Wang, L. (1998). Effects of potential confounding factors on fit indices and parameter estimates on true and misspecified SEM models. Educational and Psychological Measurement, 58, 701-735. doi:10.1177/0013164498058005001 Google Scholar | SAGE Journals | ISI | |
|
Gorman, C. A., Meriac, J. P., Overstreet, B. L., Apodaca, S., McIntyre, A. L., Park, P., Godbey, J. N. (2012). A meta-analysis of the regulatory focus nomological network: Work-related antecedents and consequences. Journal of Vocational Behavior, 80, 160-172. doi:10.1016/j.jvb.2011.07.005 Google Scholar | Crossref | ISI | |
|
Haws, K. L., Dholakia, U. M., Bearden, W. O. (2010). An assessment of chronic regulatory focus measures. Journal of Marketing Research, 47, 967-982. doi:10.1509/jmkr.47.5.967 Google Scholar | SAGE Journals | ISI | |
|
Higgins, E. T. (1987). Self-discrepancy: A theory relating self and affect. Psychological Review, 94, 319-340. doi:10.1037/0033-295X.94.3.319 Google Scholar | Crossref | Medline | ISI | |
|
Higgins, E. T. (1997). Beyond pleasure and pain. American Psychologist, 52, 1280-1300. doi:10.1037/0003-066X.52.12.1280 Google Scholar | Crossref | Medline | ISI | |
|
Higgins, E. T. (2012a). Accessibility theory. In Van Lange, P. A. M., Kruglanski, A. W., Higgins, E. T. (Eds.), Handbook of theories of social psychology (pp. 75-96). Thousand Oaks, CA: Sage. Google Scholar | Crossref | |
|
Higgins, E. T. (2012b). Beyond pleasure and pain: How motivation works. New York, NY: Oxford University Press. Google Scholar | |
|
Higgins, E. T. (2015). Regulatory focus theory. In Scott, R. A., Kosslyn, S. M. (Eds.), Emerging trends in the social and behavioral sciences (pp. 1-18). Wiley. doi:10.1002/978111900772 Google Scholar | Crossref | |
|
Higgins, E. T., Friedman, R. S., Harlow, R. E., Idson, L. C., Ayduk, O. N., Taylor, A. (2001). Achievement orientations from subjective histories of success: Promotion pride versus prevention pride. European Journal of Social Psychology, 31, 3-23. doi:10.1002/ejsp.27 Google Scholar | Crossref | ISI | |
|
Hodis, F. A., Hattie, J. A. C., Hodis, G. M. (2016). Measuring promotion and prevention orientations of secondary school students: It is more than meets the eye. Measurement and Evaluation in Counseling and Development, 49, 194-206. doi:10.1177/0748175615625750 Google Scholar | SAGE Journals | ISI | |
|
Hodis, F. A., Hodis, G. M. (2015). Expectancy, value, promotion, and prevention: An integrative account of regulatory fit vs. non-fit with student satisfaction in communicating with teachers. In Cohen, E. L. (Ed.), Communication Yearbook, 39 (pp. 339-370). New York, NY: Routledge. Google Scholar | Crossref | |
|
Hu, L.-T., Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1-55. doi:10.1080/10705519909540118 Google Scholar | Crossref | ISI | |
|
Lockwood, P., Jordan, C. H., Kunda, Z. (2002). Motivation by positive or negative role models: Regulatory focus determines who will best inspire us. Journal of Personality and Social Psychology, 83, 854-864. doi:10.1037/0022-3514.83.4.854 Google Scholar | Crossref | Medline | ISI | |
|
Miele, D. B., Molden, D. C., Gardner, W. L. (2009). Motivated comprehension regulation: Vigilant versus eager metacognitive control. Memory & Cognition, 37, 779-795. doi:10.3758/MC.37.6.779 Google Scholar | Crossref | Medline | ISI | |
|
Molden, D. C. (2012). Motivated strategies for judgment: How preferences for particular judgment process can affect judgment outcomes. Social & Personality Compass, 6, 156-169. doi:10.1111/j.1751-9004.2011.00424.x Google Scholar | Crossref | |
|
Mueller, R. O., Hancock, G. R. (2008). Best practices in structural equation modeling. In Osborne, J. W. (Ed.), Best practices in quantitative methods (pp. 488-508). Thousand Oaks, CA: Sage. Google Scholar | Crossref | |
|
Muthen, L. K., Muthen, B. O. (2010). Mplus, user’s guide (6th ed.). Los Angeles, CA: Author. Google Scholar | |
|
Ouschan, L., Boldero, J. M., Kashima, Y., Wakimoto, R., Kashima, E. S. (2007). Regulatory focus strategies scale: A measure of individual difference in the endorsement of regulatory strategies. Asian Journal of Social Psychology, 10, 243-257. doi:10.1111/j.1467-839X.2007.00233.x Google Scholar | Crossref | ISI | |
|
Rosenzweig, E. Q., Miele, D. B. (2016). Do you have an opportunity or an obligation to score well? The influence of regulatory focus on academic test performance. Learning and Individual Differences, 45, 114-127. doi:10.1016/j.lindif.2015.12.005 Google Scholar | Crossref | ISI | |
|
Steiger, J. H. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 25, 173-180. doi:10.1207/s15327906mbr2502_4 Google Scholar | Crossref | Medline | ISI | |
|
Summerville, A., Roese, N. J. (2008). Self-report measures of individual differences in regulatory focus: A cautionary note. Journal of Research in Personality, 42, 247-254. doi:10.1016/j.jrp.2007.05.005 Google Scholar | Crossref | Medline | ISI | |
|
Tucker, L. R., Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1-10. doi:10.1007/BF02291170 Google Scholar | Crossref | ISI | |
|
Widaman, K. F., Little, T. D., Preacher, K. J., Sawalani, G. M. (2011). On creating and using short forms of scales in secondary research. In Trzesniewski, K. H., Donnellan, M. B., Lucas, R. E. (Eds.), Secondary data analysis: An introduction for psychologists (pp. 39-61). Washington, DC: American Psychological Association. Google Scholar | Crossref | |
|
Wigfield, A., Muenks, K., Rosenzweig, E. Q. (2015). Children’s achievement motivation in school. In Rubie-Davies, C. M., Stephenson, J. M., Watson, P. (Eds.), Routledge international handbook of social psychology of the classroom (pp. 9-20). New York, NY: Routledge. Google Scholar |

