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Validating an Index of Adolescent Sexual Behavior Using Psychosocial Theory and Social Trait Correlates

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Abstract

Using a web-based survey of adolescents 14–16 years of age, a hierarchical index of heterosexual behavior was developed with excellent psychometric properties. The easiest sexual behavior to perform was “deep kissing” and the most difficult was “receiving anal sex” for females and “giving anal sex” for males. The index was validated with data that show increased sexual activity with being older and of minority status, with social traits such as physical development, having a romantic partner, and sensation seeking, and with psychosocial variables known to be associated with sexual behavior such as attitudes, norms, self-efficacy and intentions.

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References

  • Anderson, B., & Cyranowski, J. (1995). Women’s sexuality: Behaviors, responses, and individual differences. Journal of Consulting and Clinical Psychology, 63, 891–906.

    Article  Google Scholar 

  • Bentler, P. (1968a). Heterosexual behavior assessment—I males. Behaviour Research and Therapy, 6, 21–25.

    Article  PubMed  CAS  Google Scholar 

  • Bentler, P. (1968b). Heterosexual behavior assessment—II females. Behaviour Research and Therapy, 6, 27–30.

    Article  PubMed  CAS  Google Scholar 

  • Bleakley, A., Hennessy, M., & Fishbein, M. (2006). Public opinion on sex education in US schools. Archives of Pediatric and Adolescent Medicine, 160, 1151–1156.

    Article  Google Scholar 

  • Bollen, K., & Lennox, R. (1991). Conventional wisdom of measurement: A structural equation perspective. Psychological Bulletin, 110, 305–314.

    Article  Google Scholar 

  • Bruckner, H., & Bearman, P. (2005). After the promise: The STD consequences of adolescent virginity pledges. Journal of Adolescent Health, 36, 271–278.

    Article  PubMed  Google Scholar 

  • Bushman, B., & Cantor, J. (2003). Media ratings for violence and sex. American Psychologist, 58, 130–141.

    Article  PubMed  Google Scholar 

  • Carey, M., & Schroder, K. (2002). Development and psychometric evaluation of the brief HIV knowledge questionnaire. AIDS Education and Prevention, 14, 172–182.

    Article  PubMed  Google Scholar 

  • Centers for Disease Control and Prevention. (2006). Youth Risk Behavior Surveillance- United States, 2005. Surveillance Summaries, June 9, 2006. MMWR, 2006;55 (No. SS-5).

  • Cialdini, R., Reno, R., & Kallgren, C. (1990). A focus theory of normative conduct: Recycling the concept of norms to reduce littering in public places. Journal of Personality and Social Psychology, 58, 1015–1026.

    Article  Google Scholar 

  • Cook, T., & Campbell, D. (1979). Quasi-experimentation: Design and analysis issues for field settings. Chicago, IL: Rand McNally.

    Google Scholar 

  • Derogatis, L., & Melisaratos, N. (1979). The DSFI: A multidimensional measure of sexual functioning. Journal of Sex and Marital Therapy, 5, 244–281.

    PubMed  CAS  Google Scholar 

  • Derogatis, L., Melisaratos, N., & Clark, M. (1976). Gender and sexual experience as determinants in a sexual behavior hierarchy. Journal of Sex and Marital Therapy, 2, 85–105.

    PubMed  CAS  Google Scholar 

  • DiClemente, R., Wingood, G., Harrington, K., Lang, D., Davies, S., Hook, E., Oh, K., Crosby, R., Hertzberg, V., Gordon, A., Hardin, J., Parker, S., & Robillard, A. (2004). Efficacy of an HIV prevention intervention for African American adolescent girls. Journal of the American Medical Association, 292, 171–179.

    Article  PubMed  CAS  Google Scholar 

  • Donovan, J., & Jessor, R. (1983). Problem drinking and the dimension of involvement with drugs: A Guttman scalogram analysis of adolescent drug use. American Journal of Public Health, 73, 543–553.

    PubMed  CAS  Google Scholar 

  • Ellickson, P., Hays, R., & Bell, R. (1992). Stepping through the drug use sequence: Longitudinal scalogram analysis of initiation and regular use. Journal of Abnormal Psychology, 101, 441–451.

    Article  PubMed  CAS  Google Scholar 

  • Fishbein, M. (2000). The role of theory in HIV prevention. AIDS Care, 12, 273–278.

    Article  PubMed  CAS  Google Scholar 

  • Fishbein, M., & Jarvis, B. (2000). Peterman et al. failure to find a behavioral surrogate for STD incidence: What does it really mean? Sexually Transmitted Diseases, 27, 452–455.

    Article  PubMed  CAS  Google Scholar 

  • Fishbein, M., Hennessy, M., Kamb, M., Bolan, G., Hoxworth, T., Iatesta, M., Rhodes, F., & Zenilman, J. (2001). Using intervention theory to model factors influencing behavior change: Project RESPECT. Evaluation and the Health Professions, 24, 363–384.

    Article  CAS  Google Scholar 

  • Fortenberry, J., Temkit, M., Tu, W., Graham, C., Katz, B., & Orr, D. (2005). Daily mood, partner support, sexual interest, and sexual activity among adolescent women. Health Psychology, 24, 252–257.

    Article  PubMed  Google Scholar 

  • Fortenberry, J., Katz, B., Llythe, M., Juliar, B., Tu, W., & Orr, D. (2006). Factors associated with time of day of sexual activity among adolescent women. Journal of Adolescent Health, 38, 275–281.

    Article  PubMed  Google Scholar 

  • Greenberg, J., Hennessy, M., MacGowan, R., Celentano, D., Gonzales, V., & VanDevanter, N. (2000). Modeling intervention efficacy for high-risk women—The WINGS project. Evaluation and the Health Professions, 23, 123–148.

    Article  CAS  Google Scholar 

  • Grello, C., Welsh, D., & Harper, M. (2006). No strings attached: The nature of casual sex in college students. Journal of Sex Research, 43, 255–267.

    PubMed  Google Scholar 

  • Hemphill, T. (2003). Self-regulation, public issue management and marketing practices in the US entertainment industry. Journal of Public Affairs, 3, 338–357.

    Article  Google Scholar 

  • Hemker, B., Sijtsma, K., & Molenaar, I. (1995). Selection of unidimensional scales from a multidimensional item bank in the polytomous Mokken IRT model. Applied Psychological Measurement, 19, 337–352.

    Article  Google Scholar 

  • Henderson, V., Hennessy, M., Barrett, D., Curtis, B., McCoy-Roth, M., Trentacoste, N., & Fishbein, M. (2005). When risky is attractive: Sensation seeking and romantic partner selection. Personality and Individual Differences, 38, 311–325.

    Article  Google Scholar 

  • Hoyle, R., Stephenson, M., Palmgreen, P., Lorch, E., & Donohew, L. (2002). Reliability and validity of a brief measure of sensation seeking. Personality and Individual Differences, 32, 401–414.

    Article  Google Scholar 

  • Institute of Medicine (1997). The hidden epidemic: Confronting sexually transmitted diseases. In T. R. Eng & W. T. Butler (Eds.), Washington, DC: National Academy Press.

  • Jakobsen, R. (1997). Stages of progression in noncoital sexual interactions among young adolescents: An application of the Mokken scale analysis. International Journal of Behavioral Development, 27, 537–553.

    Article  Google Scholar 

  • Jemmott, J., Jemmott, L., Braverman, P., & Fong, G. (2005). HIV/STD risk reduction interventions for African American and Latino adolescent girls at an adolescent medicine clinic: A randomized controlled trial. Archives of Pediatric and Adolescent Medicine, 5, 440–449.

    Article  Google Scholar 

  • Johnson, M. (1986). The dimensionality of perspectives on premarital sex: A comparison of Guttman and INDSCAL dimensionality. The Journal of Sex Research, 22, 94–107.

    Article  Google Scholar 

  • Kandel, D., & Yamaguchi, K. (1993). From beer to crack: Developmental patterns of drug involvement. American Journal of Public Health, 83, 851–855.

    Article  PubMed  CAS  Google Scholar 

  • Kennedy, P. (2003). A Guide to Econometrics. Cambridge: MIT Press.

    Google Scholar 

  • Kirby, D., Blumler, E., Coyle, K., Basen-Engquist, K., Parcel, G., Harrist, R., & Banspach, S. (2004). The “Safer Choices” intervention: Its impact on the sexual behaviors of different subgroups of high school students. Journal of Adolescent Health, 35, 442–452.

    PubMed  Google Scholar 

  • Kirby, D., Lepore, G., & Ryan, J. (2005). Sexual and risk protective factors: Factors affecting teen sexual behavior, pregnancy, childbearing and sexually transmitted disease: Which are important? Which can you change? National Campaign to Prevent Teen Pregnancy. ETR Associates.

  • Kunkel, D., Biely, E., Eyal, K., Cope-Ferrar, K., Donnerstein, E., & Fandrich, R. (2003). Sex on TV3: A biennial report to the kaiser family foundation. Menlo Park, CA: The Kaiser Family Foundation.

    Google Scholar 

  • Kunkel, D., Cope-Farrar, K., Biely, E., & Donnerstein, E. (2001). Sex on TV2: A biennial report to the kaiser family foundation. Menlo Park, CA: The Kaiser Family Foundation.

    Google Scholar 

  • Kunkel, D., Cope, K., & Colvin, C. (1996). Sexual messages on family hour television: Content and context. Oakland and Menlo Park, CA: Children Now and Kaiser Family Foundation.

    Google Scholar 

  • L’Engle, K., Jackson, C., & Brown, J. (2006). Early adolescents’ cognitive susceptibility to initiating sexual intercourse. Perspectives on Sexual and Reproductive Health, 38, 97–105.

    Article  PubMed  Google Scholar 

  • Manlove, J., Papillio, A., & Ikramullah, E. (2004). Not yet: Programs to delay first sex among teens. Washington, DC: The National Campaign to Prevent Teen Pregnancy.

    Google Scholar 

  • Martino, S., Collins, R., Kanouse, D., Elliot, M., & Berry, S. (2005). Social cognitive process mediating the relationship between exposure to television’s sexual content and adolescents’ sexual behavior. Journal of Personality and Social Psychology, 6, 914–924.

    Article  Google Scholar 

  • Mokken, R. (1971). A theory and procedure of scale analysis. The Hague: Mouton.

    Google Scholar 

  • Mosher, W., Chandra, A., & Jones, J. (2005). Sexual behavior and selected health measures: Men and women 1544 years of age, United States, 2002. Advance data from vital and health statistics; no. 362. Hyattsville, MD: National Center for Health Statistics.

    Google Scholar 

  • Ringdal, G., Jordhøy, M., & Kaasa, S. (2003). Measuring quality of palliative care: Psychometric properties of the FAMCARE scale. Quality of Life Research, 12, 167–176.

    Article  PubMed  Google Scholar 

  • Ringdal, K., Ringdal, G., Kaasa, S., Bjordal, K., Wisløff, F., Sundstrøm, S., & Hjermstad, M. (1999). Assessing the consistency of psychometric properties of the HRQoL scales within the EORTC QLQ-C30 across populations by means of the Mokken scaling model. Quality of Life Research, 8, 25–43.

    Article  PubMed  CAS  Google Scholar 

  • Sijtsma, K., & Verweij, A. (1992). Mokken scale analysis: Theoretical considerations and an application to transitivity tasks. Applied Measurement in Education, 5, 355–373.

    Article  Google Scholar 

  • Silver, E., & Bauman, L. (2006). The association of sexual experience with attitudes, beliefs, and risk behaviors of inner-city adolescents. Journal of Research on Adolescence, 16, 29–45.

    Article  Google Scholar 

  • Smith, E., & Udry, R. (1985). Coital and non-coital sexual behaviors of white and black adolescents. American Journal of Public Health, 75, 1200–1203.

    PubMed  CAS  Google Scholar 

  • Stephenson, M., Hoyle, R., Palmgreen, P., & Slater, M. (2003). Brief measures of sensation seeking for screening and large-scale surveys. Drug and Alcohol Dependence, 72, 279–286.

    Article  PubMed  Google Scholar 

  • Stolzenberg, R., & Relles, D. (1997). Tools for intuition about sample selection bias and its correction. American Sociological Review, 62, 494–507.

    Article  Google Scholar 

  • Streiner, D. (2003). Starting at the beginning: An introduction to coefficient alpha and internal consistency. Journal of Personality Assessment, 80, 99–103.

    Article  PubMed  Google Scholar 

  • Ward, L. (2003). Understanding the role of entertainment media in the sexual socialization of American youth: A review of empirical research. Developmental Review, 23, 347–388.

    Article  Google Scholar 

  • Ward, L., & Friedman, K. (2006). Using TV as a guide: Associations between television viewing and adolescents’ sexual attitudes and behavior. Journal of Research on Adolescence, 16, 133–156.

    Article  Google Scholar 

  • Winship, C., & Mare, R. (1992). Models for sample selection bias. Annual Review of Sociology, 18, 27–350.

    Article  Google Scholar 

  • Zuckerman, M. (1973). Scales for sex experience for males and females. Journal of Consulting and Clinical Psychology, 41, 27–29.

    Article  Google Scholar 

  • Zuckerman, M., Eysenck, S., & Eysenck, H. (1978). Sensation seeking in England and America: Cross-cultural age and sex comparisons. Journal of Consulting and Clinical Psychology, 46, 139–149.

    Article  PubMed  CAS  Google Scholar 

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Acknowledgments

This publication was made possible by Grant Number 5R01HD044136 from the National Institute of Child Health and Human Development (NICHD). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NICHD.

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Correspondence to Michael Hennessy.

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Hennessy, M., Bleakley, A., Fishbein, M. et al. Validating an Index of Adolescent Sexual Behavior Using Psychosocial Theory and Social Trait Correlates. AIDS Behav 12, 321–331 (2008). https://doi.org/10.1007/s10461-007-9272-1

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  • DOI: https://doi.org/10.1007/s10461-007-9272-1

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