The purpose of this study was to test an integrative theoretical framework in explaining adolescents’ sexual abstinence and intentions to remain abstinent and refine the framework to reflect which elements contribute more powerfully to the explanation of abstinence and intentions. We administered an anonymous, theory-based questionnaire to two nonrandom samples of seventh- and eighth-graders (n = 451 and 447, respectively). Measurement modeling provided sufficient evidence for establishing construct validity. A refined structural equation model demonstrated good fit. Pro-abstinence standards predicted stronger beliefs toward staying abstinent, stronger perceptions that others endorse pro-abstinence norms, and a greater self-efficacy to remain sexually abstinent until marriage. In turn, beliefs, norms, and self-efficacy were predictive of intentions, which predicted sexual abstinence at a later time point. Similar findings emerged in a replication using a second set of sample data. Results suggest that this integrative theoretical framework is useful in explaining adolescents’ intention and their subsequent sexual abstinence.
Abbott, D.A., & Dalla, R.L. ( 2008). "It’s a choice, simple as that": Youth reasoning for sexual abstinence or activity. Journal of Youth Studies , 11, 629-649.
2.
Advocates for Youth. (2004). Adolescent pregnancy and childbearing in the United States. Washington, DC: Author.
3.
Albert, B., Brown, S., & Flanigan, C.M. (2003). 14 and younger: The sexual behavior of young adolescents. Washington, DC: National Campaign to Prevent Teen Pregnancy.
4.
Alexander, E., & Hickner, J. ( 1997). First coitus for adolescents: Understanding why and when . Journal of the American Board of Family Practice , 10, 96-103.
5.
Allison, P.D. ( 1987). Estimation of linear models with incomplete data . In C. Clogg (Ed.), Sociological methodology (pp. 71-103). Washington, DC: American Sociological Association.
6.
Anderson, J.C., & Gerbing, D.W. ( 1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin , 103, 411-423.
7.
Arbuckle, J.L. ( 1996). Full information estimation in the presence of incomplete data. In G. A. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling: Issues and techniques (pp. 243-277). Mahwah, NJ : Lawrence Erlbaum.
8.
Baron, R.M., & Kenny, D.A. ( 1986). The moderator-mediator variable distinction social psychological research: Conceptual, strategic, and statistical considerations . Journal of Personality and Social Psychology, 51, 1173-1182.
9.
Bazargan, M., & West, K. ( 2006). Correlates of the intention to remain sexually inactive among underserved Hispanic and African American high school students . Journal of School Health, 76, 25-32.
10.
Bearinger, L.H., & Resnick, M.D. ( 2003). Dual method use in adolescents: A review and framework for research on use of STD and pregnancy prevention. Journal of Adolescent Health, 32, 340-349.
11.
Bentler, P.M. ( 1988). Causal modeling via structural equation systems . In J. R. Nesselroade & R. B. Cattell (Eds.), Handbook of multivariate experimental psychology (2nd ed., pp. 317-335). New York, NY: Plenum.
12.
Bentler, P.M., & Raykov, T. ( 2000). On measures of explained variance in nonrecursive structural equation models. Journal of Applied Psychology , 85, 125-131.
13.
Blinn-Pike, L., Berger, T.J., Hewett, J., & Oleson, J. ( 2004). Sexually abstinent adolescents: An 18-month follow-up . Journal of Adolescent Research, 19, 495-511.
14.
Brener, N.D., Collins, J.L., Kann, L., Warren, C.W., & Williams, B.I. (1995). Reliability of the Youth Risk Behavior Survey questionnaire. American Journal of Epidemiology , 141, 575-580.
15.
Browne, M.W., & Cudeck, R. ( 1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural models (pp. 136-162). Newbury Park, CA: Sage.
16.
Buhi, E.R., & Goodson, P. ( 2007). Predictors of adolescent sexual behavior and intention: A theory-guided systematic review. Journal of Adolescent Health , 40, 4-21.
17.
Buhi, E.R., Goodson, P., & Neilands, T.B. (2007). Structural equation modeling: A primer for health behavior researchers. American Journal of Health Behavior, 31, 74-85.
18.
Buhi, E.R., Goodson, P., & Neilands, T.B. (2008). Out of sight, not out of mind: Strategies for handling missing data. American Journal of Health Behavior, 32, 83-92.
CDC. (2005). 2005National Youth Risk Behavior Survey (YRBS) data users manual. Retrieved from http://www.cdc.gov/HealthyYouth/yrbs/data/index.htm
21.
Chen, F., Curran, P.J., Bollen, K.A., Kirby, J., & Paxton, P. ( 2008). An empirical evaluation of the use of fixed cutoff points in RMSEA test statistic in structural equation models. Sociological Methods & Research, 36, 462-494.
22.
Childs, G., Moneyham, L., & Felton, G. ( 2008). Correlates of sexual abstinence and sexual activity of low-income African American adolescent females. Journal of the Association of Nurses in AIDS Care, 19, 432-442.
23.
Collazo, A.A. ( 2004). Theory-based predictors of intention to engage in precautionary sexual behavior among Puerto Rican high school adolescents . Journal of HIV/AIDS Prevention in Children and Youth , 6, 91-120.
24.
DiClemente, R.J., Wingood, G.M., Crosby, R., Sionean, C., Cobb, B.K., Harrington, K., . . . Oh, M.K. ( 2001). Parental monitoring: Association with adolescents’ risk behaviors. Pediatrics, 107, 1363-1368.
25.
Fishbein, M. ( 2000). The role of theory in HIV prevention. AIDS Care, 12, 273-278.
26.
Fishbein, M., Triandis, H.C., Kanfer, F.H., Becker, M., Middlestadt, S.E., & Eichler, A. ( 2001). Factors influencing behavior and behavior change . In A. Baum, T. A. Revenson, & J. E. Singer (Eds.), Handbook of health psychology (pp. 3-17). Mahwah, NJ: Lawrence Erlbaum.
27.
Gillmore, M.R., Archibald, M.E., Morrison, D.M., Wilsdon, A., Wells, E.A., Hoppe, M.J., . . . Murowchick, E. (2002). Teen sexual behavior: Applicability of the theory of reasoned action. Journal of Marriage and Family, 64, 885-897.
28.
Goodson, P., & Buhi, E.R. ( 2007). Behavioral skills and adolescent sexual risk behavior: The authors reply. Journal of Adolescent Health, 41, 212.
29.
Goodson, P., Evans, A., & Edmundson, E. ( 1997). Female adolescents and onset of sexual intercourse: A theory-based review of research from 1984 to 1994. Journal of Adolescent Health, 21, 147-156.
30.
Goodson, P., Pruitt, B.E., Buhi, E., Rasberry, C.N., Julian, D., & Forbis-Stokes, J. (2005). Abstinence Education Evaluation- Phase 6 Technical Report. College Station: Department of Health & Kinesiology, Texas A&M University .
31.
Goodson, P., Pruitt, B.E., Buhi, E., Wilson, K.L., Rasberry, C.N., & Gunnels, E. ( 2004). Abstinence Education Evaluation-Phase 5 Technical Report . College Station: Department of Health & Kinesiology, Texas A&M University.
32.
Goodson, P., Pruitt, B.E., Suther, S., Wilson, K., & Buhi, E. ( 2006). Is abstinence education theory-based? The underlying logic of abstinence education programs in Texas. Health Education & Behavior, 33, 252-271.
33.
Goodson, P., Pruitt, B.E., Wilson, K.L., Suther, S.G., Davis, E., & Dunsmore, S. ( 2002). Abstinence Education Evaluation-Phase 3 Technical Report . College Station: Department of Health & Kinesiology, Texas A&M University.
34.
Goodson, P., Suther, S., Pruitt, B.E., & Wilson, K. ( 2003). Defining abstinence: Views of directors, instructors, and participants in abstinence-only-until-marriage programs in Texas. Journal of School Health, 73, 91-96.
35.
Gray, S.H., Austin, B., Huang, B., Frazier, A.L., Field, A.E., & Kahn, J.A. ( 2008). Predicting sexual initiation in a prospective cohort study of adolescents. Archives of Pediatric and Adolescent Medicine, 162, 55-59.
36.
Hayduk, L. ( 2000, February 20). Champagne, Karl’s corner, R-square, and negative R-square. Retrieved from http://www.bama.ua.edu/archives/semnet.html
37.
Hoffman, S.D. ( 2006). By the numbers: The public cost of teen childbearing . Washington, DC: National Campaign to Prevent Teen Pregnancy.
38.
Hu, L., & Bentler, P.M. ( 1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
39.
Huck, S.W. ( 2004). Reading statistics and research (4th ed.). Boston, MA: Pearson A&B.
40.
Kaestle, C.E., Halpern, C.T., Miller, W.C., & Ford, C.A. ( 2005). Young age at first sexual intercourse and sexually transmitted infections in adolescents and young adults. American Journal of Epidemiology, 161, 774-780.
41.
Kinsman, S.B., Romer, D., Furstenberg, F.F., & Schwartz, D.F. (1998). Early sexual initiation: The role of peer norms. Pediatrics, 102, 1185-1192.
42.
Kirby, D. ( 2007). Emerging answers 2007: Research findings on programs to reduce teen pregnancy and sexually transmitted diseases. Washington, DC: National Campaign to Prevent Teen and Unplanned Pregnancy.
43.
Klein, J.D., & the Committee on Adolescence. ( 2005). Adolescent pregnancy: Current trends and issues. Pediatrics, 116, 281-286.
44.
Kotchick, B.A., Shaffer, A., Forehand, R., & Miller, K.S. ( 2001). Adolescent sexual risk behavior: A multi-system perspective . Clinical Psychology Review, 21, 493-519.
45.
Laflin, M.T., Wang, J., & Barry, M. ( 2008). A longitudinal study of adolescent transition from virgin to nonvirgin status. Journal of Adolescent Health , 42, 228-236.
46.
Lammers, C., Ireland, M., Resnick, M., & Blum, R. ( 2000). Influences on adolescents’ decision to postpone onset of sexual intercourse: A survival analysis of virginity among youths aged 13 to 18 years. Journal of Adolescent Health, 26, 42-48.
47.
Loewenson, P.R., Ireland, M., & Resnick, M.D. ( 2004). Primary and secondary sexual abstinence in high school students. Journal of Adolescent Health, 34, 209-215.
48.
Maguen, S., & Armistead, L. ( 2006). Abstinence among female adolescents: Do parents matter above and beyond the influence of peers? American Journal of Orthopsychiatry, 76, 260-264.
49.
Manlove, J., Franzetta, K., McKinney, K., Papillo, A.R., & Terry-Humen, E. (2004). A good time: After-school programs to reduce teen pregnancy. Washington, DC: National Campaign to Prevent Teen Pregnancy.
50.
Marsh, H.W., Hau, K., & Wen, Z. ( 2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings. Structural Equation Modeling, 11, 320-341.
51.
Masters, N.T., Beadnell, B.A., Morrison, D.M., Hoppe, M.J., & Gillmore, M.R. (2008). The opposite of sex? Adolescents’ thoughts about abstinence and sex, and their sexual behavior . Perspectives on Sexual and Reproductive Health, 40, 87-93.
52.
Mathur, A. ( 1998). Examining trying as a mediator and control as a moderator of intention-behavior relationship. Psychology and Marketing , 15, 241-259.
53.
Miller, B.C. ( 2002). Family influences on adolescent sexual and contraceptive behavior. Journal of Sex Research, 39, 22-26.
54.
Molenberghs, G., Kenward, M.G., & Goetghebeur, E. (2001). Sensitivity analysis for incomplete contingency tables: The Slovenian plebiscite case. Applied Statistics, 50, 15-29.
55.
Montano, D.E., & Kasprzyk, D. ( 2002). The theory of reasoned action and the theory of planned behavior. In K. Glanz, F. M. Lewis, & B. K. Rimer (Eds.), Health behavior and health education: Theory, research, and practice (3rd ed., pp. 67-98). San Francisco, CA: Jossey-Bass.
56.
Moore, K.A., Miller, B.C., Glei, D., & Morrison, D.R. (1995). Adolescent sex, contraception, and childbearing: A review of recent research. Washington, DC: Child Trends.
57.
Muthén, B., Kaplan, D., & Hollis, M. ( 1987). On structural equation modeling with data that are not missing completely at random. Psychometrika, 52, 431-462.
National Campaign to Prevent Teen and Unplanned Pregnancy. ( 2010). Teen pregnancy and childbearing in the United States: Ten headlines. Retrieved http://www.thenationalcampaign.org/resources/pdf/Briefly_Teen-Pregnancy-and-Childbearing-Ten-Headlines.pdf
60.
Office of Management and Budget. (2009). Budget of the United States Government: Fiscal Year 2010. Washington, DC: Government Printing Office .
61.
Oliver, M.B., & Hyde, J.S. ( 1993). Gender differences in sexuality: A meta-analysis . Psychological Bulletin, 114, 29-51.
62.
Oman, R.F., Vesely, S.K., Kegler, M., McElroy, K., & Aspy, C.B. ( 2003). A youth development approach to profiling sexual abstinence . American Journal of Health Behavior, 27(Suppl. 1), S80-S93.
63.
Paradise, J.E., Cote, J., Minsky, S., Lourenco, A., & Howland, J. ( 2001). Personal values and sexual decision-making among virginal and sexually experienced urban adolescent girls. Journal of Adolescent Health, 28, 404-409.
64.
Patient Protection and Affordable Care Act. ( 2010). Pub. L. No. 111-148. Title II, Subtitle L, Sec. 2954 . Restoration of funding for abstinence education. Retrieved from http://democrats.senate.gov/reform/patient-protection-affordable-care-act-as-passed.pdf
65.
Peugh, J.L., & Enders, C.K. ( 2004). Missing data in educational research: A review of reporting practices and suggestions for improvement. Review of Educational Research, 74, 525-556.
66.
Pleck, J.H., Sonenstein, F.L., & Ku, L. ( 1993). Masculinity ideology: Its impact on heterosexual relationships . Journal of Social Issues, 49(3), 11-29.
67.
Rasberry, C.N. ( 2006). A qualitative and quantitative exploration of secondary sexual abstinence among a sample of Texas A&M University undergraduates (Unpublished doctoral dissertation). Texas A&M University, College Station.
68.
Raubenheimer, J.E. ( 2004). An item selection procedure to maximize scale reliability and validity. South African Journal of Industrial Psychology , 30(4), 59-64.
69.
Rhodes, F., Stein, J.A., Fishbein, M., Goldstein, R.B., & Rotheram-Borus, M.J. (2007). Using theory to understand how interventions work: Project RESPECT, condom use, and the integrative model . AIDS and Behavior, 11, 393-407.
70.
Santelli, J.S., Kaiser, J., Hirsch, L., Radosh, A., Simkin, L., & Middlestadt, S. (2004). Initiation of sexual intercourse among middle school adolescents: The influence of psychosocial factors. Journal of Adolescent Health, 34, 200-208.
71.
Schafer, J.L., & Graham, J.W. ( 2002). Missing data: Our view of the state of the art . Psychological Methods, 7, 147-177.
72.
Stanton, B.F., Li, X., Black, M.M., & Ricardo, I. ( 1996). Longitudinal stability and predictability of sexual perceptions, intentions, and behaviors among early adolescent African-Americans . Journal of Adolescent Health, 18, 10-19.
73.
Sumartojo, E., Lyles, C., Choi, K., Clark, L., Collins, C., Guenther Gray, C., et al. (2008). Prevalence and correlates of HIV testing in a multi-site sample of young men who have sex with men. AIDS Care, 20, 1-14.
74.
Thompson, B. ( 1994, February). Why multivariate methods are usually vital in research: Some basic concepts. Paper presented at the biennial meeting of the Southwestern Society for Research in Human Development, Austin, TX (ERIC Document Reproduction Service No. ED 367 687).
75.
Tolman, D.L., Striepe, M.I., & Harmon, T. ( 2002). Gender matters: Constructing a model of adolescent sexual health. Journal of Sex Research, 40, 4-12.
76.
Weinstock, H., Berman, S., Cates, W., Jr. ( 2004). Sexually transmitted diseases among American youth: Incidence and prevalence estimates, 2000. Perspectives on Sexual and Reproductive Health, 36, 6-10.
77.
White, H. ( 1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica , 48, 817-830.
78.
Whitehead, B.D., Wilcox, B.L., Rostosky, S.S., Randall, B., & Wright, M.L.C. (2001). Reasons for hope: A review of research on adolescent religiosity and sexual behavior. In Keeping the faith: The role of religion and faith communities in preventing teen pregnancy. Washington, DC: National Campaign to Prevent Teen Pregnancy.
79.
Yu, C. ( 2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes (Unpublished doctoral dissertation). University of California, Los Angeles. Retrieved from http://www.statmodel.com/download/Yudissertation.pdf
80.
Yuan, K.H. ( 2005). Fit indices versus test statistics. Multivariate Behavioral Research, 40, 115-148.
81.
Yuan, K.H., & Bentler, P.M. ( 2000). Three likelihood-based methods for mean and covariance structure analysis with nonnormal missing data. In M. E. Sobel & M. P. Becker (Eds.), Sociological methodology (Vol. 30, pp. 165-200). Washington, DC: American Sociological Association.
82.
Zhao, X.Q., Sayeed, S., Cappella, J., Homik, R., Fishbein, M., & Ahern, R.K. ( 2006). Targeting norm-related beliefs about marijuana use in an adolescent population. Health Communication, 19, 187-196.
