Using Composite Scores to Summarize Adolescent Sexual Risk Behavior: Current State of the Science and Recommendations.

Abstract

Composite scores offer the advantage of summarizing across multiple sexual risk behaviors to both simplify results and better capture the influence of core contextual, interpersonal, and intrapersonal dynamics that affect multiple sexual risk behaviors. There is inconsistency in how researchers utilize composite scores with minimal guidance on the advantages and disadvantages of frequently used approaches. Strengths and weaknesses of each approach are discussed in the context of assessing adolescent sexual risk behavior. A latent variable model and three commonly used composites were applied to data combined across four clinical trials (n\u2009=\u20091322; 50% female). Findings suggested that the latent variable approach was limited due to minimal correlations among sexual risk behaviors, that choice of composite had minimal impact on cross-sectional results so long as there is sufficient variability in risk behavior in the sample, but composite choice could impact results from clinical trials particularly for subgroup analyses. There are unique challenges to creating composites of adolescent risk behavior, including the fluidity and infrequency of adolescent sexual relationships that result in many participants reporting no sexual behavior at any given assessment and a low correlation between the number of partners and condomless sex acts. These challenges impede application of data-driven approaches to defining sexual risk composites. Recommendations to improve consistency in reporting include: (1) reporting each type of risk behavior separately prior to forming a composite, (2) aggregating across assessments to increase the chance of observing sexual risk behaviors, and (3) continued work toward a unified definition of adolescent sexual risk behavior that can guide the development of appropriate measurement models.