Main Article Content
Abstract
Objectives: The purpose of this study is to validate a subjective and objective socioeconomic measure to enhance research and clinical applications of socioeconomic (SES) constructs. To further understand the measurement of Socioeconomic Status (subjective and objective) in counseling, two main research questions are investigated. First, would objective indicators of SES (education, income, etc..) result in a separate construct from subjective indicators of SES (perceived SES, etc..) using social positioning and comparison items? Second, would the objective and subjective items correlate with the Macarthur’s Scale SES? Methods: A Delphi Method was employed to develop a socioeconomic status with both objective and subjective SES items. The measure consists of 33 items including demographics (5), subjective (18), objective (2) SES status subscale and mental health (8) subscale. Two samples (N=455) were analyzed using Exploratory Factor Analysis (EFA). Results: The EFA’s resulted in a three-factor solution: perception of SES; perception of one’s ability to change their SES; and, objective SES. Conclusions: This study is consistent with the literature suggesting that objective and subjective SES are distinct variables. Improved methods and increased use of SES measures accounting for subjective and objective SES is needed.
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References
- Adler, N. E., Epel, E. S., Castellazzo, G., & Ickovics, J. R. (2000). Relationship of subjective and objective social status with psychological and physiological functioning: Preliminary data in healthy white women. Health Psychology, 19(6), 586–592. https://doi.org/10.1037/0278-6133.19.6.586
- Adler, N., & Stewart, J. (2007). The MacArthur Scale of Subjective Social Status. MacArthur Research Network on SES Health.
- Assari, S. (2017). Combined racial and gender differences in the long-term predictive role of education on depressive symptoms and chronic medical conditions. Journal of Racial and Ethnic Health Disparities, 4(3), 385–396
- Clark, S. M., Cook, J. M., Nair, D., & Wojcik, K. (2018). A content analysis of social class in ACA journals from 2000 to 2016. Counseling Outcome Research and Evaluation, 9(1), 16–27. https://doi.org/10.1080/21501378.2017.1409599
- Cook, J. M., Clark, S. M., Wojcik, K., Nair, D., Baillargeon, T., & Kowalik, E. (2020). A 17-year systematic content analysis of social class and socioeconomic status in two counseling journals. Counseling Outcome Research and Evaluation, 11(2), 104–118. https://doi.org/10.1080/21501378.2019.1647409
- Davern, M., Rodin, H., Beebe, T. J., & Call, K. T. (2005). The effect of Income question design in health surveys on family income, poverty and eligibility estimates. Health Services Research, 40(5p1), 1534–1552. https://doi.org/10.1111/j.1475-6773.2005.00416.x
- Dedania, A., & Gonzales, G. (2019). Disparities in access to health care among US-born and Foreign-born US adults by mental health status, 2013-2016. American Journal of Public Health, 109(S3), S221–S227. https://doi.org/10.2105/AJPH.2019.305149
- Duncan, O. D. (1961). A socioeconomic index for all occupations. In A. J. Reiss Jr. (Ed.), Occupations and Social Status (pp. 109-138). Free Press.
- Evans-Lacko, S., Aguilar-Gaxiola, S., Al-Hamzawi, A., Alonso, J., Benjet, C., Bruffaerts, R., & Thornicroft, G. (2018). Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) surveys. Psychological Medicine, 48(9), 1560–1571. https://doi.org/10.1017/S0033291717003336
- Fabrigar, L. R., & Wegener, D. T. (2012). Exploratory factor analysis. Oxford University Press.
- Frable, D. E. (1997). Gender, racial, ethnic, sexual, and class identities. Annual Review of Psychology, 48(1), 139–162. https://doi.org/10.1146/annurev.psych.48.1.139
- Hawley, L. D. (2020). Subjective social class, distress, and help-seeking among emerging adults [Unpublished doctoral dissertation]. Oakland University.
- Hollingshead, A. B. (1975). Four factor index of social status. Yale University, Department of Sociology.
- IBM Corp. (2017). IBM SPSS Statistics for Windows (Version 25.0) [Computer software]. IBM Corp.
- Krieger, N. (2022). Breaking through and backlash: Advancing awareness about racism, sexism, social class, and the people’s health. American Journal of Preventive Medicine, 62(6), 807–813. https://doi.org/10.1016/j.amepre.2022.03.002
- Little, R. J. A. (1988). A test of missing completely at random for multivariate data with missing values. Journal of the American Statistical Association, 83(404), 1198–1202. https://doi.org/10.1080/01621459.1988.10478722
- Liu, W. M., Ali, S. R., Soleck, G., Hopps, J., Dunston, K., & Pickett, T., Jr. (2004). Using social class in counseling psychology research. Journal of Counseling Psychology, 51(1), 3–18. https://doi.org/10.1037/0022-0167.51.1.3
- Milburn, N. G., Beatty, L., & Lopez, S. A. (2019). Understanding, unpacking, and eliminating health disparities: A prescription for health equity promotion through behavioral and psychological research: An introduction. Cultural Diversity and Ethnic Minority Psychology, 25(1), 1-5. https://doi.org/10.1037/cdp0000266
- Mullen, P. R., Fox, J., Goshorn, J. R., & Warraich, L. K. (2021). Crowdsourcing for online samples in counseling research. Journal of Counseling and Development, 99(2), 221–226. https://doi.org/10.1002/jcad.12369
- Mvududu, N. H., & Sink, C. A. (2013). Factor analysis in counseling research and practice. Counseling Outcome Research and Evaluation, 4(2). https://doi-org.huaryu.kl.oakland.edu/10.1177/2150137813494766
- Navarro-Carrillo, G., Alonso-Ferres, M., Moya, M., & Valor-Segura, I. (2020). Socioeconomic status and psychological well-being: Revisiting the role of subjective socioeconomic status. Frontiers in Psychology, 11, 1303. https://doi.org/10.3389/fpsyg.2020.01303
- Pope-Davis, D. B., Liu, W. M., Toporek, R. L., & Brittan-Powell, C. S. (2001). What’s missing from multicultural competency research: Review, introspection, and recommendations. Cultural Diversity and Ethnic Minority Psychology, 7(2), 121–138. https://doi.org/10.1037/1099-9809.7.2.121
- Qualtrics. (2017). Qualtrics XM Platform [Computer software]. Qualtrics: Retrieved from https:/www.qualtrics.com/
- Quon, B. S., & McGrath, J. J. (2014). Subjective socioeconomic status and adolescent health: A meta-analysis. Health Psychology, 33(5), 433–447. https://doi.org/10.1037/a0033716
- Shavers, V. L. (2007). Measurement of socioeconomic status in health disparities research. Journal of the National Medical Association, 99(9), 1013–1023.
- Singh-Manoux, A., Clarke, P., & Marmot, M. (2002). Multiple measures of socioeconomic position and psychosocial health: Proximal and distal measures. International Journal of Epidemiology, 31(6), 1192–1199. https://doi.org/10.1093/ije/31.6.1192
- Singh-Manoux, A., Marmot, M. G., & Adler, N. E. (2005). Does subjective social status predict health and change in health status better than objective status? Psychosomatic Medicine, 67(6), 855–861. https://doi.org/10.1097/01.psy.0000188434.52941.a0
- Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
- U.S. Department of Health and Human Services. (2022). Healthy People 2020. Retrieved from: https://www.health.gov/healthypeople/
- Vázquez-Ramos, L., Leahy, M., & Estrada Hernández, N. (2007). The Delphi method in Rehabilitation Counseling Research. Rehabilitation Counseling Bulletin, 50(2), 111–118. https://doi.org/10.1177/00343552070500020101
- Walker, R. J., Williams, J. S., & Egede, L. E. (2016). Influence of race, ethnicity and social determinants of health on diabetes outcomes. The American Journal of the Medical Sciences, 351(4), 366–373. https://doi.org/10.1016/j.amjms.2016.01.008
- Wester, K. L., & Borders, L. D. (2014). Research competencies in counseling: A Delphi study. Journal of Counseling and Development, 92(4), 447–458. https://doi.org/10.1002/j.1556-6676.2014.00171.x
- Wolff, L. S., Subramanian, S. V., Acevedo-Garcia, D., Weber, D., & Kawachi, I. (2010). Compared to whom? Subjective social status, self-rated health, and referent group sensitivity in a diverse US sample. Social Science and Medicine, 70(12), 2019–2028. https://doi.org/10.1016/j.socscimed.2010.02.033
- Yang, Y., Roman-Urrestarazu, A., McKee, M., & Brayne, C. (2019). Demographic, socioeconomic, and health correlates of unmet need for mental health treatment in the United States, 2002-16: Evidence from the national surveys on drug use and health. International Journal for Equity in Health, 18(1), 122. https://doi.org/10.1186/s12939-019-1026-y
References
Adler, N. E., Epel, E. S., Castellazzo, G., & Ickovics, J. R. (2000). Relationship of subjective and objective social status with psychological and physiological functioning: Preliminary data in healthy white women. Health Psychology, 19(6), 586–592. https://doi.org/10.1037/0278-6133.19.6.586
Adler, N., & Stewart, J. (2007). The MacArthur Scale of Subjective Social Status. MacArthur Research Network on SES Health.
Assari, S. (2017). Combined racial and gender differences in the long-term predictive role of education on depressive symptoms and chronic medical conditions. Journal of Racial and Ethnic Health Disparities, 4(3), 385–396
Clark, S. M., Cook, J. M., Nair, D., & Wojcik, K. (2018). A content analysis of social class in ACA journals from 2000 to 2016. Counseling Outcome Research and Evaluation, 9(1), 16–27. https://doi.org/10.1080/21501378.2017.1409599
Cook, J. M., Clark, S. M., Wojcik, K., Nair, D., Baillargeon, T., & Kowalik, E. (2020). A 17-year systematic content analysis of social class and socioeconomic status in two counseling journals. Counseling Outcome Research and Evaluation, 11(2), 104–118. https://doi.org/10.1080/21501378.2019.1647409
Davern, M., Rodin, H., Beebe, T. J., & Call, K. T. (2005). The effect of Income question design in health surveys on family income, poverty and eligibility estimates. Health Services Research, 40(5p1), 1534–1552. https://doi.org/10.1111/j.1475-6773.2005.00416.x
Dedania, A., & Gonzales, G. (2019). Disparities in access to health care among US-born and Foreign-born US adults by mental health status, 2013-2016. American Journal of Public Health, 109(S3), S221–S227. https://doi.org/10.2105/AJPH.2019.305149
Duncan, O. D. (1961). A socioeconomic index for all occupations. In A. J. Reiss Jr. (Ed.), Occupations and Social Status (pp. 109-138). Free Press.
Evans-Lacko, S., Aguilar-Gaxiola, S., Al-Hamzawi, A., Alonso, J., Benjet, C., Bruffaerts, R., & Thornicroft, G. (2018). Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) surveys. Psychological Medicine, 48(9), 1560–1571. https://doi.org/10.1017/S0033291717003336
Fabrigar, L. R., & Wegener, D. T. (2012). Exploratory factor analysis. Oxford University Press.
Frable, D. E. (1997). Gender, racial, ethnic, sexual, and class identities. Annual Review of Psychology, 48(1), 139–162. https://doi.org/10.1146/annurev.psych.48.1.139
Hawley, L. D. (2020). Subjective social class, distress, and help-seeking among emerging adults [Unpublished doctoral dissertation]. Oakland University.
Hollingshead, A. B. (1975). Four factor index of social status. Yale University, Department of Sociology.
IBM Corp. (2017). IBM SPSS Statistics for Windows (Version 25.0) [Computer software]. IBM Corp.
Krieger, N. (2022). Breaking through and backlash: Advancing awareness about racism, sexism, social class, and the people’s health. American Journal of Preventive Medicine, 62(6), 807–813. https://doi.org/10.1016/j.amepre.2022.03.002
Little, R. J. A. (1988). A test of missing completely at random for multivariate data with missing values. Journal of the American Statistical Association, 83(404), 1198–1202. https://doi.org/10.1080/01621459.1988.10478722
Liu, W. M., Ali, S. R., Soleck, G., Hopps, J., Dunston, K., & Pickett, T., Jr. (2004). Using social class in counseling psychology research. Journal of Counseling Psychology, 51(1), 3–18. https://doi.org/10.1037/0022-0167.51.1.3
Milburn, N. G., Beatty, L., & Lopez, S. A. (2019). Understanding, unpacking, and eliminating health disparities: A prescription for health equity promotion through behavioral and psychological research: An introduction. Cultural Diversity and Ethnic Minority Psychology, 25(1), 1-5. https://doi.org/10.1037/cdp0000266
Mullen, P. R., Fox, J., Goshorn, J. R., & Warraich, L. K. (2021). Crowdsourcing for online samples in counseling research. Journal of Counseling and Development, 99(2), 221–226. https://doi.org/10.1002/jcad.12369
Mvududu, N. H., & Sink, C. A. (2013). Factor analysis in counseling research and practice. Counseling Outcome Research and Evaluation, 4(2). https://doi-org.huaryu.kl.oakland.edu/10.1177/2150137813494766
Navarro-Carrillo, G., Alonso-Ferres, M., Moya, M., & Valor-Segura, I. (2020). Socioeconomic status and psychological well-being: Revisiting the role of subjective socioeconomic status. Frontiers in Psychology, 11, 1303. https://doi.org/10.3389/fpsyg.2020.01303
Pope-Davis, D. B., Liu, W. M., Toporek, R. L., & Brittan-Powell, C. S. (2001). What’s missing from multicultural competency research: Review, introspection, and recommendations. Cultural Diversity and Ethnic Minority Psychology, 7(2), 121–138. https://doi.org/10.1037/1099-9809.7.2.121
Qualtrics. (2017). Qualtrics XM Platform [Computer software]. Qualtrics: Retrieved from https:/www.qualtrics.com/
Quon, B. S., & McGrath, J. J. (2014). Subjective socioeconomic status and adolescent health: A meta-analysis. Health Psychology, 33(5), 433–447. https://doi.org/10.1037/a0033716
Shavers, V. L. (2007). Measurement of socioeconomic status in health disparities research. Journal of the National Medical Association, 99(9), 1013–1023.
Singh-Manoux, A., Clarke, P., & Marmot, M. (2002). Multiple measures of socioeconomic position and psychosocial health: Proximal and distal measures. International Journal of Epidemiology, 31(6), 1192–1199. https://doi.org/10.1093/ije/31.6.1192
Singh-Manoux, A., Marmot, M. G., & Adler, N. E. (2005). Does subjective social status predict health and change in health status better than objective status? Psychosomatic Medicine, 67(6), 855–861. https://doi.org/10.1097/01.psy.0000188434.52941.a0
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
U.S. Department of Health and Human Services. (2022). Healthy People 2020. Retrieved from: https://www.health.gov/healthypeople/
Vázquez-Ramos, L., Leahy, M., & Estrada Hernández, N. (2007). The Delphi method in Rehabilitation Counseling Research. Rehabilitation Counseling Bulletin, 50(2), 111–118. https://doi.org/10.1177/00343552070500020101
Walker, R. J., Williams, J. S., & Egede, L. E. (2016). Influence of race, ethnicity and social determinants of health on diabetes outcomes. The American Journal of the Medical Sciences, 351(4), 366–373. https://doi.org/10.1016/j.amjms.2016.01.008
Wester, K. L., & Borders, L. D. (2014). Research competencies in counseling: A Delphi study. Journal of Counseling and Development, 92(4), 447–458. https://doi.org/10.1002/j.1556-6676.2014.00171.x
Wolff, L. S., Subramanian, S. V., Acevedo-Garcia, D., Weber, D., & Kawachi, I. (2010). Compared to whom? Subjective social status, self-rated health, and referent group sensitivity in a diverse US sample. Social Science and Medicine, 70(12), 2019–2028. https://doi.org/10.1016/j.socscimed.2010.02.033
Yang, Y., Roman-Urrestarazu, A., McKee, M., & Brayne, C. (2019). Demographic, socioeconomic, and health correlates of unmet need for mental health treatment in the United States, 2002-16: Evidence from the national surveys on drug use and health. International Journal for Equity in Health, 18(1), 122. https://doi.org/10.1186/s12939-019-1026-y