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Surveying Sexualities: Minimizing Survey Error in Study of Sexuality

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Handbook of the Sociology of Sexualities

Part of the book series: Handbooks of Sociology and Social Research ((HSSR))

Abstract

This chapter presents an overview of survey error in the study of sexualities. I focus on survey error in terms of coverage, nonresponse, measurement, and coding issues. In addition to examining survey research issues in the study of sexualities, I also review nonprobability sampling approaches, including time-location sampling, respondent-driven sampling, and internet surveys. I then examine different forms of survey error in three probability surveys: the Chicago Health and Social Life Survey (CHSLS), the National Longitudinal Study of Adolescent to Adult Health (Add Health), and the New Family Structures Study (NFSS). Although some type of survey error is an issue in each survey, the NFSS appears to be impacted substantially by all four forms of survey error. These examples highlight the need for continuing attention to survey methodology when asking questions about sex.

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Notes

  1. 1.

    Unlike “sexualities,” the search term “sexual behavior” has been used continuously from 1970 to 2014. I also employed this term because it is likely to have fewer false positives in comparison to “sexuality.”

  2. 2.

    Sampling error is another type of survey error that I do not focus in this chapter. It is worth noting, however, that convenience samples suffer from substantial sampling error.

References

  • Add Health. (2014). The National Longitudinal Study of Adolescent to Adult Health. http://www.cpc.unc.edu/projects/addhealth/design/designfacts/index.html#samples. Accessed 31 Dec 2014.

  • Alexander, M. G., & Fisher, T. D. (2003). Truth and consequences: Using the bogus pipeline to examine sex differences in self reported sexuality. Journal of Sex Research, 40(1), 27–35.

    Article  Google Scholar 

  • Baker, R., Brick, J. M., Bates, N. A., Battaglia, M., Couper, M. P., Dever, J. A., et al. (2013). Summary report of the AAPOR task force on non-probability sampling. Journal of Survey Statistics and Methodology, 1, 90–143.

    Article  Google Scholar 

  • Black, D., Gates, G., Sanders, S., & Taylor, L. (2000). Demographics of the gay and lesbian population in the United States: Evidence from available systematic data sources. Demography, 37(2), 139–154.

    Article  Google Scholar 

  • Brashears, M. E. (2011). Small networks and high isolation? A reexamination of American discussion networks. Social Networks, 33(4), 331–341.

    Article  Google Scholar 

  • Brenner, P. S., & DeLamater, J. (2014). Measurement directiveness as a cause of response bias: Evidence from two survey experiments. Sociological Methods & Research. doi:10.1177/0049124114558630.

    Google Scholar 

  • Catania, J. A., Gibson, D. R., Chitwood, D. D., & Coates, T. J. (1990). Methodological problems in AIDS behavioral research: Influences on measurement error and participation bias in studies of sexual behavior. Psychological Bulletin, 108(3), 339–362.

    Article  Google Scholar 

  • Catania, J. A., Osmond, D., Stall, R. D., Pollack, L., Paul, J. P., Blower, S., et al. (2001). The continuing HIV epidemic among men who have sex with men. American Journal of Public Health, 91(6), 907–914.

    Article  Google Scholar 

  • Chang, L., & Krosnick, J. A. (2009). National surveys via RDD telephone interviewing versus the internet: Comparing sample representativeness and response quality. Public Opinion Quarterly, 73(4), 641–678.

    Google Scholar 

  • DeLamater, J., & MacCorquodale, P. (1975). The effects of interview schedule variations on reported sexual behavior. Sociological Methods & Research, 4(2), 215–236.

    Article  Google Scholar 

  • Diamond, L. M. (2009). Sexual fluidity: Understanding women’s love and desire. Cambridge: Harvard University Press.

    Google Scholar 

  • DiBennardo, R., & Gates, G. J. (2014). Research note: US census same-sex couple data: Adjustments to reduce measurement error and empirical implications. Population Research and Policy Review, 33, 1–12.

    Article  Google Scholar 

  • Durex Sexual Wellbeing Survey. (2006). http://www.durex.com/en-lat/sexualwellbeingsurvey/methodology/pages/participantsselected.aspx. Accessed 31 Dec. 2014.

  • Ericksen, J. A., & Steffen, S. A. (2009). Kiss and tell: Surveying sex in the twentieth century. Harvard University Press: Cambridge.

    Google Scholar 

  • Evans, A. R., Wiggins, R. D., Mercer, C. H., Bolding, G. J., & Elford, J. (2007). Men who have sex with men in Great Britain: Comparison of a self-selected internet sample with a national probability sample. Sexually Transmitted Infections, 83(3), 200–205.

    Article  Google Scholar 

  • Fan, X., Miller, B. C., Park, K. E., Winward, B. W., Christensen, M., Grotevant, H. D., & Tai, R. H. (2006). An exploratory study about inaccuracy and invalidity in adolescent self-report surveys. Field Methods, 18(3), 223–244.

    Article  Google Scholar 

  • Fenton, K. A., Johnson, A. M., McManus, S., & Erens, B. (2001). Measuring sexual behavior: Methodological challenges in survey research. Sexually Transmitted Infections, 77(2), 84–92.

    Article  Google Scholar 

  • Gile, K. J., & Handcock, M. S. (2010). Respondent-driven sampling: An assessment of current methodology. Sociological Methodology, 40(1), 285–327.

    Article  Google Scholar 

  • Groves, R. M., Fowler, F. J., Jr., Couper, M. P., Lepkowski, J. M., Singer, E., & Tourangeau, R. (2004). Survey methodology. Hoboken: Wiley.

    Google Scholar 

  • Katz-Wise, S. L., Calzo, J. P., Li, G., & Pollitt, A. (2015). Same data, different perspectives: What is at stake? Response to Savin-Williams and Joyner (2014a). Archives of Sexual Behavior, 44(1), 15–19.

    Google Scholar 

  • Kendall, C., Kerr, L. R., Gondim, R. C., Werneck, G. L., Macena, R. H. M., Pontes, M. K., et al. (2008). An empirical comparison of respondent-driven sampling, time location sampling, and snowball sampling for behavioral surveillance in men who have sex with men, Fortaleza, Brazil. AIDS and Behavior, 12(1), 97–104.

    Article  Google Scholar 

  • Kinsey, A. C., Pomeroy, W. B., & Martin, C. E. (1948). Sexual behavior in the human male. Philadelphia: WB Saunders.

    Google Scholar 

  • Kinsey, A. C., Pomeroy, W. B., Martin, C. E., & Gebhard, P. H. (1953). Sexual behavior in the human female. Philadelphia: WB Saunders.

    Google Scholar 

  • Laumann, E., Gagnon, J., Michael, R., & Michaels, S. (1994). The social organization of sexuality: Sexual practices in the US. Chicago: University of Chicago Press.

    Google Scholar 

  • Lewontin, R. (1995, April). Sex, lies, and social science. New York Review of Books, 42(7), 24–29.

    Google Scholar 

  • Li, G., Katz-Wise, S. L., & Calzo, J. P. (2014). The unjustified doubt of add health studies on the health disparities of non-heterosexual adolescents: Comment on Savin-Williams and Joyner (2014). Archives of Sexual Behavior, 43(6), 1023–1026.

    Article  Google Scholar 

  • Magnani, R., Sabin, K., Saidel, T., & Heckathorn, D. (2005). Review of sampling hard-to-reach and hidden populations for HIV surveillance. AIDS, 19, S67–S72.

    Article  Google Scholar 

  • Michaels, S. (2013). Sexual behavior and practices: Data and measurement. In A. K. Baumle (Ed.), International handbook on the demography of sexuality (pp. 11–20). New York: Springer.

    Chapter  Google Scholar 

  • Miner, M. H., Bockting, W. O., Romine, R. S., & Raman, S. (2011). Conducting Internet research with the transgender population: Reaching broad samples and collecting valid data. Social Science Computer Review, 30(2), 202–211.

    Article  Google Scholar 

  • Paik, A., & Sanchagrin, K. (2013). Social isolation in America: An artifact. American Sociological Review, 78(3), 339–360.

    Article  Google Scholar 

  • Regnerus, M. (2012a). How different are the adult children of parents who have same-sex relationships? Findings from the New Family Structures Study. Social Science Research, 41(4), 752–770.

    Article  Google Scholar 

  • Regnerus, M. (2012b). Parental same-sex relationships, family instability, and subsequent life outcomes for adult children: Answering critics of the new family structures study with additional analyses. Social Science Research, 41(6), 1367–1377.

    Article  Google Scholar 

  • Regnerus, M. D., & Uecker, J. E. (2007). Religious influences on sensitive self-reported behaviors: The product of social desirability, deceit, or embarrassment? Sociology of Religion, 68(2), 145–163.

    Article  Google Scholar 

  • Rosenbaum, J. E. (2006). Reborn a virgin: Adolescents’ retracting of virginity pledges and sexual histories. American Journal of Public Health, 96(6), 1098.

    Article  Google Scholar 

  • Ross, M. W., Månsson, S. A., Daneback, K., Cooper, A., & Tikkanen, R. (2005). Biases in internet sexual health samples: Comparison of an internet sexuality survey and a national sexual health survey in Sweden. Social Science & Medicine, 61(1), 245–252.

    Article  Google Scholar 

  • Santelli, J. S., Lindberg, L. D., Abma, J., McNeely, C. S., & Resnick, M. (2000). Adolescent sexual behavior: Estimates and trends from four nationally representative surveys. Family Planning Perspectives, 32(4), 156–194.

    Article  Google Scholar 

  • Savin-Williams, R. C., & Joyner, K. (2014). The dubious assessment of gay, lesbian, and bisexual adolescents of add health. Archives of Sexual Behavior, 43(3), 413–422.

    Article  Google Scholar 

  • Schonlau, M., Zapert, K., Simon, L. P., Sanstad, K. H., Marcus, S. M., Adams, J., et al. (2004). A comparison between responses from a propensity-weighted web survey and an identical RDD survey. Social Science Computer Review, 22(1), 128–138.

    Article  Google Scholar 

  • Sell, R. L., & Petrulio, C. (1996). Sampling homosexuals, bisexuals, gays, and lesbians for public health research: A review of the literature from 1990 to 1992. Journal of Homosexuality, 30(4), 31–47.

    Article  Google Scholar 

  • Sherkat, D. E. (2012). The editorial process and politicized scholarship: Monday morning editorial quarterbacking and a call for scientific vigilance. Social Science Research, 41(6), 1346–1349.

    Article  Google Scholar 

  • Smith, T. W. (2003). An experimental comparison of knowledge networks and the GSS. International Journal of Public Opinion Research, 15(2), 167–179.

    Article  Google Scholar 

  • Stueve, A., O’Donnell, L. N., Duran, R., San Doval, A., & Blome, J. (2001). Time-space sampling in minority communities: Results with young Latino men who have sex with men. American Journal of Public Health, 91(6), 922.

    Article  Google Scholar 

  • Turner, C. F., Miller, H. G., & Rogers, S. M. (1997). Survey measurement of sexual behavior. In J. Bancroft (ed.), Researching sexual behavior: Methodological issues (pp. 37–60). Bloomington: Indiana University Press.

    Google Scholar 

  • Udry, R. J., & Chantala, K. (2005). Risk factors differ according to same-sex and opposite-sex interest. Journal of Biosocial Science, 37(04), 481–497.

    Google Scholar 

  • Van Haitsma, M., Paik, A., & Laumann, E. O. (2004). The Chicago health and social life survey design. In E. O. Laumann, S. Ellingson, J. Mahay, A. Paik, & Y. Youm (Eds.), The sexual organization of the city (pp. 39–65). Chicago: University of Chicago Press.

    Chapter  Google Scholar 

  • Weinhardt, L. S., Forsyth, A. D., Carey, M. P., Jaworski, B. C., & Durant, L. E. (1998). Reliability and validity of self-report measures of HIV-related sexual behavior: Progress since 1990 and recommendations for research and practice. Archives of Sexual Behavior, 27(2), 155–180.

    Article  Google Scholar 

  • Yeager, D. S., Krosnick, J. A., Chang, L., Javitz, H. S., Levendusky, M. S., Simpser, A., & Wang, R. (2011). Comparing the accuracy of RDD telephone surveys and internet surveys conducted with probability and non-probability samples. Public Opinion Quarterly, 75(4), 709–747.

    Article  Google Scholar 

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Paik, A. (2015). Surveying Sexualities: Minimizing Survey Error in Study of Sexuality. In: DeLamater, J., Plante, R. (eds) Handbook of the Sociology of Sexualities. Handbooks of Sociology and Social Research. Springer, Cham. https://doi.org/10.1007/978-3-319-17341-2_6

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