This study assesses the psychometric properties of the Condom Barriers Scale (CBS), an instrument originally designed to measure women's perceptions and attitudes regarding male condom use, with a sample of men at high risk for human immunodeficiency virus (HIV). Participants include 590 male patients in drug abuse treatment involved in a gender-specific HIV prevention intervention for teaching safer sex skills. Second-order confirmatory factor analysis generally supported the underlying four-factor subscale structure of the CBS. However, exploratory factor analysis revealed a few specific discrepancies in the factor structure between men and women. Internal consistency and test—retest reliability estimates were moderate to high in value. CBS scores correlated with use of condoms for men with high-risk sexual partners, supporting criterion-related validity. Overall, the analysis indicates that the CBS is a potentially valid and reliable instrument and has utility for assessing barriers to condom use with men, but may need some item content modifications to allow appropriate assessment of gender differences and comparisons across studies.
Basen-Engquist, K., Masse, L.C., Coyle, K., Kirby, D., Parcel, G.S., Banspach, S., et al. (1999). Validity of scales measuring the psychosocial determinants of HIV/STD-related risk behavior in adolescents. Health Education Research: Theory and Practice, 14, 25-38.
2.
Bentler, P.M., & Kano, Y. (1990). On the equivalence of factors and components. Multivariate Behavioral Research, 25, 67-74.
3.
Browne, M.W. (1984). Asymptotic distribution-free methods for the analysis of covariance structures. British Journal of Mathematical and. Statistical Psychology, 37, 62-83.
4.
Campbell, S.M., Peplau, L.A., & DeBro, S.C. (1992). Women, men, and condoms: Attitudes and experiences of heterosexual college students. Psychology of Women Quarterly, 16, 273-288.
5.
Carter, J.A., McNair, L.D., Corbin, W.R., & Williams, M. (1999). Gender differences related to heterosexual condom use: The influence of negotiation styles. Journal of Sex and Marital Therapy, 25, 217-225.
6.
Centers for Disease Control and Prevention. ( 2006). Fact sheet for public health personnel: Male latex condoms and sexually transmitted diseases. Retrieved June 9, 2006, from http://www.cdc.gov/nchstp/od/latex.htm
7.
Coyle, S.L., Needle, R.H., & Normand, J. (1998). Outreach-based HIV prevention for injecting drug users: A review of published outcome data. Public Health Reports , 113, 19-30.
8.
Crosby, R.A., DiClemente, R.J., Wingood, G.M., Cobb, B.K., Harrington, K., Davies, S.L., et al. (2002). Condom use and correlates of African American adolescent females' infrequent communication with sex partners about preventing sexually transmitted diseases and pregnancy. Health Education and Behavior, 29, 219-231.
9.
Crosby, R.A., DiClemente, R.J., Wingood, G.M., Salazar, L.F., Harrington, K., Davies, S.L., et al. (2003). Identification of strategies for promoting condom use: A Prospective analysis of high-risk African American female teens . Prevention Science, 4, 263-270.
10.
Crosby, R., Salazar, L.F., & DiClemente, R.J. (2004). Lack of recent condom use among detained adolescent males: A multilevel investigation. Sexually Transmitted Infections, 80, 425-429.
11.
Curran, P.J., West, S.G., & Finch, J.F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1, 16-29.
12.
D'Agostino, R.B. (1986). Tests for the normal distribution. In R. B. D'Agostino & M. A. Stephens (Eds.), Goodness-of-fit techniques (pp. 367-419). New York: Marcel Dekker.
13.
Essien, E.J., Ross, M.W., Fernández-Esquer, M.E., & Williams, M.L. (2005). Reported condom use and condom use difficulties in street outreach samples of men of four racial and ethnic backgrounds. International Journal of STD and AIDS , 16, 739-743.
14.
Fabrigar, L.R., MacCallum, R.C., Wegener, D.T., & Strahan, E.J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272-299.
15.
Floyd, F.J., & Widaman, E.F. (1995). Factor analysis in the development and refinement of clinical assessment instruments. Psychological Assessment , 7, 286-299.
16.
Folstein, M.F., Folstein, S.E., & McHugh, P.R. (1975). Mini-mental state: A practical method for grading the state of patients for the clinician. Journal of Psychiatric Research, 1, 189-198.
17.
Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research , 18, 39-50.
18.
Gross, M., Holte, S.E., Marmor, M., Mwatha, A., Koblin, B.A., & Mayer, K.H. (2000). Anal sex among HIV-seronegative women at high risk of HIV exposure. Journal of Acquired Immune Deficiency Syndromes, 24, 393-398.
19.
Hanna, K.M., & Tompkins, E.S. (1999). An adolescent and young adult condom perception scale. Western Journal of Nursing Research, 21, 621-630.
20.
Hayton, J.C., Allen, D.G., & Scarpello, V. (2004). Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organizational Research Methods, 7, 191-205.
21.
Horn, J.L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179-185.
22.
Hu, L., & Bentler, P.M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3, 424-453.
23.
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.
24.
Jadack, R.A., Hyde, J.S., & Keller, M.L. (1995). Gender risk and knowledge about HIV, risky sexual behavior, and safer sex practices. Research in Nursing and Health, 19, 313-324.
25.
Jennrich, R.I., & Sampson, P.F. (1966). Rotation for simple loadings. Psychometrika, 31, 313-323.
26.
Johnson, E.H., Jackson, L.S., Hinkel, Y., Gilbert, D. l., Hoopwood, T., Lollis, C.M., et al. (1994). What is the significance of black-white differences in risky sexual behavior?Journal of the National Medical Association, 86, 745-759.
27.
Jöreskog, K.G., & Lawley, D.N. (1968). New methods in maximum likelihood factor analysis . British Journal of Mathematical and Statistical Psychology , 2, 83-87.
Kaiser, H.F., & Derflinger, G. (1990). Some contrasts between maximum likelihood factor analysis and alpha factor analysis. Applied Psychological Measurement, 14, 29-32.
30.
Lee, H.B., & Comrey, A.L. (1979). Distortions in a commonly used factor analytic procedure. Multivariate Behavioral Research, 14, 301-321.
31.
Lei, M., & Lomax, R.G. (2005). The effect of varying degrees of nonnormality in structural equation modeling. Structural Equation Modeling , 12, 1-27.
32.
Lollis, C.M., Johnson, E.H., & Antoni, M.H. (1997). The efficacy of the health belief model for predicting condom usage and risky sexual practices in university students. AIDS Education and Prevention, 9, 551-563.
33.
MacCallum, R.C., Widaman, K.F., Zhang, S., & Hong, S. (1999). Sample size in factor analysis. Psychological Methods, 4, 84-99.
34.
Mardia, K.V. (1970). Measures of multivariate skewness and kurtosis with applications. Biometrika, 57, 519-530.
35.
Marsh, H.W., & Hau, K-T. (1996). Assessing goodness of fit: Is parsimony always desirable? Journal of Experimental Education, 64, 364-390.
36.
Metzger, D.S., Koblin, B., Turner, C., Navaline, H., Valenti, F., Holte, S., et al. (2000). Randomized controlled trial of audio computer-assisted self-interviewing: Utility and acceptability in longitudinal studies. American Journal of Epidemiology, 152, 99-106.
37.
Meyer-Bahlburg, H., Ehrhardt, A., Exner, T.M., & Gruen, R.S. (1991). Sexual risk behavior assessment schedule-adult armory interview. New York: New York State Psychiatric Institute and Columbia University.
38.
Morrison, D.M., Gillmore, M.R., & Baker, S.A. (1995). Determinants of condom use among high-risk heterosexual adults: A test of the theory of reasoned action. Journal of Applied Social Psychology, 25, 651-676.
39.
O'Connor, B.P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test. Behavior Research Methods, Instrumentation and Computers, 32, 396-402.
40.
SAS. (2004). Release 9.1, software system for Windows. Cary, NC: SAS Institute.
41.
Smith, L.A. (2003). Partner influence on noncondom use: Gender and ethnic differences. Journal of Sex Research, 40, 346-350.
42.
Sohler, N., Colson, P.W., Meyer-Bahlberg, H.F.L., & Susser, E. (2000). Reliability of self-reports about sexual risk behaviors for HIV among homeless men with severe mental illness. Psychiatric Services, 51, 814-816.
43.
Sorensen, J.L., Brown, L., Calsyn, D., Tross, S., Booth, R.E., Song, Y., et al. (2007). AIDS research in the NIDA clinical trials network: Emerging results. Drug and Alcohol Dependence, 89, 310-313.
44.
Sorenson, J.L., & Copeland, A.L. (2000). Drug abuse treatment as an AIDS prevention strategy: A review. Drug and Alcohol Dependence , 59, 17-31.
45.
St. Lawrence, J.S., Chapdelaine, A.P., Devieux, J.G., O'Bannon, R.E., Brasfield, T.L., & Eldridge, G.D. (1999). Measuring perceived barriers to condom use: Psychometric evaluation of the condom barriers scale. Assessment, 6, 391-400.
46.
Sunmola, A.M. (2001). Developing a scale for measuring the barriers to condom use in Nigeria. Bulletin of the World Health Organization , 79, 926-932.
47.
Thurstone, L.L. (1947). Multiple factor analysis. Chicago: University of Chicago Press.
48.
Tucker, L.R. (1951). A method of synthesis of factor analysis studies. (Personnel Research Section Report No. 984). Washington, DC: Department of the Army .
49.
Turner, N.E. (1998). The effect of common variance and structure pattern on random data eigenvalues: Implications for the accuracy of parallel analysis . Educational and Psychological Measurement, 58, 541-568.
50.
von Haeften, I., Fishbein, M., Kaspryzk, D., & Montano, D. (2000). Acting on one's intentions: Variations in condom use intentions and behaviors as a function of type of partner, gender, ethnicity and risk. Psychology Health and Medicine, 5, 163-171.
51.
West, S.G., Finch, J.F., & Curran, P.J. (1995). Structural equation models with nonnormal variables . In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 56-75). Newbury Park, CA: Sage.
52.
Widaman, K.F. (1990). Bias in pattern loadings represented by common factor analysis and component analysis. Multivariate Behavioral Research, 25, 89-95.
53.
Widaman, K.F. (1993). Common factor analysis versus principal component analysis: Differential bias in representing model parameters? Multivariate Behavioral Research, 28, 263-311.
54.
Wrigley, C.S., & Neuhaus, J.O. (1955). The matching of two sets of factors. American Psychologist, 10, 418-419.
