Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-23T12:17:20.793Z Has data issue: false hasContentIssue false

Developing the Australian Racism, Acceptance, and Cultural-Ethnocentrism Scale (RACES)

Published online by Cambridge University Press:  20 April 2015

Kaine Grigg*
Affiliation:
School of Psychological Sciences, Monash University, Melbourne, Australia
Lenore Manderson
Affiliation:
School of Psychological Sciences, Monash University, Melbourne, Australia Centre for Health Policy, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
*
Address for correspondence: Kaine Grigg, School of Psychological Sciences, Monash University, Building 17, Clayton Campus, Wellington Road, Monash University VIC 3800, Australia. Email: [email protected]
Get access

Abstract

Existing Australian measures of racist attitudes focus on single groups or have not been validated across the lifespan. To redress this, the present research aimed to develop and validate a measure of racial, ethnic, cultural and religious acceptance — the Australian Racism, Acceptance, and Cultural-Ethnocentrism Scale (RACES) — for use with children, adolescents and adults. Interviews and focus groups were conducted with 30 adolescents in Victoria, Australia, to develop the instrument, which was pilot tested with eight children. The novel 34-item scale consists of three subscales (Accepting Attitudes — 12 items; Racist Attitudes — 8 items; Ethnocentric Attitudes — 4 items) and a 10-item measure of social desirability. The instrument was tested with 296 Victorian school children, 182 adolescents and 120 adults from the Australian community, with data modelled and analysed utilising classical test theory and item response theory. Estimates of internal consistency reliability and factorial, construct, convergent and discriminant validity support the measure. The instrument is the first general attitudinal measure of racial, ethnic, cultural and religious acceptance to be designed and scientifically validated within the Australian context. RACES can be utilised across the lifespan to evaluate attitudes towards all racial, ethnic, cultural and religious groups. RACES has potential to be widely utilised to evaluate anti-racism and pro-diversity interventions implemented within schools and throughout the community, enabling the development of a strong evidence base for initiatives to reduce community levels of racism. However, future research is needed to confirm the psychometric properties and establish the temporal stability of the scale prior to dissemination throughout Australia.

Type
Articles
Copyright
Copyright © Australian Psychological Society Ltd 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Anastasi, A., & Urbina, S. (1996). Psychological testing (7th ed.). Upper Saddle River, NJ: Prentice Hall.Google Scholar
Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika, 43, 561573.Google Scholar
Browne, M.W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In Bollen, K.A. & Long, J.S. (Eds.), Testing structural equation models (pp. 136162). Newbury Park, CA: Sage.Google Scholar
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New York, NY: Lawrence Erlbaum Associates.Google Scholar
Costello, A.B., & Osborne, J.W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research & Evaluation, 10, 19.Google Scholar
Cunningham, J., & Paradies, Y.C. (2013). Patterns and correlates of self-reported racial discrimination among Australian Aboriginal and Torres Strait Islander adults, 2008–09: Analysis of national survey data. International Journal for Equity in Health, 12, 47. doi:10.1186/1475-9276-12-47 CrossRefGoogle ScholarPubMed
DeVellis, R. (2012). Scale development: Theory and applications (3rd ed.). Thousand Oaks, CA: Sage.Google Scholar
Doyle, A.B., & Aboud, F.E. (1995). A longitudinal study of White children's racial prejudice as a social-cognitive development. Merrill-Palmer Quarterly, 41, 209228.Google Scholar
Dunn, K.M., & Geeraert, P. (2003). The geography of ‘race’ and racisms. GeoDate, 16, 16.Google Scholar
Embretson, S.E., & Hershberger, S.L. (1999). The new rules of measurement. Hillsdale, NJ: Lawrence Erlbaum Associates.CrossRefGoogle Scholar
Field, A. (2009). Discovering statistics using SPSS. Thousand Oaks, CA: Sage.Google Scholar
Fischer, D.G., & Fick, C. (1993). Measuring social desirability: Short forms of the Marlowe-Crowne Social Desirability Scale. Educational and Psychological Measurement, 53, 417424. doi:10.1177/0013164493053002011 CrossRefGoogle Scholar
Furr, R.M., & Bacharach, V.R. (2008). Psychometrics: An introduction. Thousand Oaks, CA: Sage.Google Scholar
Gaertner, S.L., & Dovidio, J.F. (1977). The subtlety of White racism, arousal, and helping behavior. Journal of Personality and Social Psychology, 35, 691707. doi:10.1037//0022-3514.35.10.691 CrossRefGoogle Scholar
Games, P. (1984). Data transformations, power, and skew: A rebuttal to Levine and Dunlap. Psychological Bulletin, 95, 345347.CrossRefGoogle Scholar
Grigg, K., & Manderson, L. (2014a). ‘Just a joke’: Young Australian understandings of racism. Manuscript submitted for publication.Google Scholar
Grigg, K., & Manderson, L. (2014b). The Australian Racism, Acceptance, and Cultural-Ethnocentrism Scale (RACES): Item response theory findings. Manuscript submitted for publication.Google Scholar
Harris, R. (2010). ACT made simple: An easy to read primer on Acceptance and Commitment Therapy. Oakland, CA: New Harbinger Publications.Google Scholar
Harris, R., Tobias, M., Jeffreys, M., Waldegrave, K., Karlsen, S., & Nazroo, J. (2006). Effects of self-reported racial discrimination and deprivation on Maori health and inequalities in New Zealand: Cross-sectional study. Lancet, 67, 20052009.Google Scholar
Hu, L.-T., & Bentler, P.M. (1995). Evaluating model fit. In Hoyle, R.H. (Ed.), Structural equation modeling: Concepts, issues, and applications. Thousand Oaks, CA: Sage.Google Scholar
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, 155. doi:10.1080/10705519909540118 Google Scholar
Kinder, D.R., & Sears, D.O. (1981). Prejudice and politics: Symbolic racism versus racial threats to the good life. Journal of Personality and Social Psychology, 40, 414431. doi:10.1037//0022-3514.40.3.414 Google Scholar
Kline, R.B. (2004). Principles and practices of structural equation modeling (2nd ed.). New York: Guilford Press.Google Scholar
Kovel, J. (1970). White racism: A psychohistory. New York: Pantheon Books.Google Scholar
Larson, A., Gillies, M., Howard, P.J., & Coffin, J. (2007). It's enough to make you sick: The impact of racism on the health of Aboriginal Australians. Australian and New Zealand Journal of Public Health, 31, 322329.Google Scholar
Linacre, J.M. (2002a). Understanding Rasch measurement: Optimizing rating scale category effectiveness. Journal of Applied Measurement, 3, 85106.Google Scholar
Linacre, J.M. (2002b). What do infit and outfit, mean-square and standardized mean? Rasch Measurement Transactions, 16, 878.Google Scholar
Loewenthal, K.M. (2001). An introduction to psychological tests and scales (2nd ed.). London: Psychology Press.Google Scholar
Marsh, H.W., & Hau, K.T. (1996). Assessing goodness of fit: Is parsimony always desirable? The Journal of Experimental Education, 64, 364390.Google Scholar
McConahay, J.B. (1983). Modern racism and modern discrimination: The effects of race, racial attitudes, and context on simulated hiring decisions. Personality and Social Psychology Bulletin, 9, 551558. doi:10.1177/0146167283094004 Google Scholar
Neville, H.A., Lilly, R.L., Lee, R.M., Duran, G., & Browne, L. (2000). Construction and initial validation of the Color-Blind Racial Attitudes Scale (CoBRAS). Journal of Counseling Psychology, 47, 5970. doi:10.1037//0022-0167.47.1.59 CrossRefGoogle Scholar
Nowlis, S.M., Kahn, B.E., & Dhar, R. (2002). Coping with ambivalence: The effect of removing a neutral option on consumer attitude and preference judgments. Journal of Consumer Research, 29, 319334. doi:10.1086/344431 Google Scholar
Nunnally, J.C. (1978). Psychometric theory (2nd ed.). New York, NY: McGraw Hill.Google Scholar
Paradies, Y.C. (2006). A systematic review of empirical research on self-reported racism and health. International Journal of Epidemiology, 35, 888901.CrossRefGoogle ScholarPubMed
Pedersen, A., Beven, J., Walker, I., & Griffiths, B. (2004). Attitudes toward Indigenous Australians: The role of empathy and guilt. Journal of Community & Applied Social Psychology, 14, 233249. doi:10.1002/casp.771 Google Scholar
Pettigrew, T.F., & Meertens, R.W. (1995). Subtle and blatant prejudice in Western Europe. European Journal of Social Psychology, 25, 5775. doi:10.1002/ejsp.2420250106 Google Scholar
Phillips, S.T., & Ziller, R.C. (1997). Toward a theory and measure of the nature of nonprejudice. Journal of Personality and Social Psychology, 72, 420434. doi:10.1037/0022-3514.72.2.420 CrossRefGoogle Scholar
Pittinsky, T.L., Rosenthal, S.A., & Montoya, R.M. (2011). Liking is not the opposite of disliking: The functional separability of positive and negative attitudes toward minority groups. Cultural Diversity and Ethnic Minority Psychology, 17, 134143. doi:10.1037/a0023806 Google Scholar
Polit, D., & Beck, C.T. (2003). Nursing research: Principles and methods (7th ed.). Philadelphia, PA: Lippincott Williams & Wilkins.Google Scholar
Reise, S.P., Ainsworth, A.T., & Haviland, M.G. (2005). Item response theory: Fundamentals, applications, and promise in psychological research. Current Directions in Psychological Science, 14, 95101.Google Scholar
Schriesheim, C.A., & Hill, K.D. (1981). Controlling acquiescence response bias by item reversals: The effect on questionnaire validity. Educational and Psychological Measurement, 41, 11011114. doi:10.1177/001316448104100420 CrossRefGoogle Scholar
Schweizer, K. (2010). Some guidelines concerning the modeling of traits and abilities in test construction. European Journal of Psychological Assessment, 26, 12.CrossRefGoogle Scholar
Schweizer, K., & Schreiner, M. (2010). Avoiding the effect of item wording by means of bipolar instead of unipolar items: An application to social optimism. European Journal of Personality, 24, 137150. doi:10.1002/per.748 Google Scholar
Strahan, R., & Gerbasi, K.C. (1972). Short, homogeneous versions of the Marlow-Crowne Social Desirability Scale. Journal of Clinical Psychology, 28, 191193.Google Scholar
Tabachnick, B.G., & Fidell, L.S. (2007). Using multivariate statistics (5th ed.). Boston, MA: Allyn & Bacon.Google Scholar
VicHealth. (2007). More than tolerance: Embracing diversity for health: Discrimination affecting migrant and refugee communities in Victoria, its health consequences, community attitudes and solutions — A summary report. Melbourne, Australia: Victorian Health Promotion Foundation.Google Scholar
Walker, I., & Crogan, M. (1998). Academic performance, prejudice, and the jigsaw classroom: New pieces to the puzzle. Journal of Community & Applied Social Psychology, 8, 381393. doi:10.1002/(sici)1099-1298(199811/12)8:6<381::aid-casp457>3.0.co2-6 Google Scholar
White, F.A., & Abu-Raya, H.M. (2012). A Dual Identity-Electronic Contact (DIEC) experiment promoting short- and long-term intergroup harmony. Journal of Experimental Social Psychology, 48, 597608. doi:10.1016/j.jesp.2012.01.007 Google Scholar
White, F.A., & Gleitzman, M. (2006). An examination of family socialisation processes as moderators of racial prejudice transmission between adolescents and their parents. Journal of Family Studies, 12, 247260.Google Scholar
Williams, D.R., Neighbors, H.W., & Jackson, J.S. (2008). Racial/ethnic discrimination and health: Findings from community studies. American Journal of Public Health, 98, 2937.Google Scholar
Willis, G.B. (2005). Cognitive interviewing: A tool for improving questionnaire design. Thousand Oaks, CA: Sage.Google Scholar
Supplementary material: PDF

Grigg and Manderson supplementary material

Appendix

Download Grigg and Manderson supplementary material(PDF)
PDF 431.9 KB