This pioneering monograph integrates the major research findings of the past four decades and offers a new model for the study of human sexuality. The author examines the empirical literature on sexuality for the developmental stages of childhood, adolescence, and young adulthood and for experiences of sexual aggression. He then uses symbolic interactionism to develop a theoretical model which integrates the research across the developmental periods and for instances of sexual aggression, providing one of the most comprehensive views of sexuality development that has yet been offered.
The work investigates the role of family, peers, romantic partners, and personality in the development of sexual expression and offers a unique vision of how symbolic interactionism can inform one's understanding of sexual beliefs and behaviors through the developmental stages. By acknowledging developmental differences and changes in individuals and their interpersonal relationship context, a more integrated understanding emerges of how sexuality develops.
This volume is intended for students and scholars interested in the influences on the development of sexual expression of youth and young adults. It will be of great interest to readers in psychology, family studies, communication, sociology, adolescent studies, and specialized areas of sexuality research. It is appropriate for undergraduate seminars and graduate-level courses on human sexuality, close relationships, family theory, sociology, communication, social psychology, developmental psychology, and related areas.
Contents: Preface. First Steps: Symbolic Interactionalism and Premarital Sexuality. Childhood: Early Influences on Adolescent Sexuality. The Sexuality of Early Adolescence. A Theoretical Model of Early Adolescent Sexuality. Other Adolescent and Young Adult Sexuality. A Theoretical Model of Older Adolescent and Young Adult Sexuality. Sexual Aggression in Dating. A Theoretical Model of Premarital Sexual Aggression. Last Steps: Concluding Remarks. Appendix: Methodological Design, Statistical Issues, and Path Models.