This study draws on social control and social learning theories to examine the role of datingspecific attitudes and practices as predictors of adolescents' sexual initiation. We include attention to the adolescent's reaction to control attempts as a further means of assessing family dynamics (i.e., frequency of dating disagreements). The study uses longitudinal data from 697 adolescents who were not sexually active at the first interview as well as separate interviews with parents. In models that include all parenting variables, parental caring, parents' preferences that the child should delay sex, and the frequency of dating disagreements are significant predictors of initiation of teen sexual activity.

Measures of exploitativeness evidence problems with validity and reliability. The present set of studies assessed a new measure [the Interpersonal Exploitativeness Scale (IES)] that defines exploitativeness in terms of reciprocity. In Studies 1 and 2, 33 items were administered to participants. Exploratory and Confirmatory Factor Analysis demonstrated that a single factor consisting of six items adequately assess interpersonal exploitativeness. Study 3 results revealed that the IES was positively associated with “normal” narcissism, pathological narcissism, psychological entitlement, and negative reciprocity and negatively correlated with positive reciprocity. In Study 4, participants competed in a commons dilemma. Those who scored higher on the IES were more likely to harvest a greater share of resources over time, even while controlling for other relevant variables, such as entitlement. Together, these studies show the IES to be a valid and reliable measure of interpersonal exploitativeness. The authors discuss the implications of these studies.

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Using the International Crime Victimization Survey (ICVS), this study investigates the relative contribution of macro-level variables (democracy level, modernization, world system status, and inequality) and individual-level variables (marital status, age, gender, education, income) in predicting the occurrence and intensity of personal crime victimization. The analysis utilizes multilevel regression, which controls for the ‘‘nesting’’ of individuals living in the same nation and controls for unmeasured random effects among the 42 nations under study. The results of the zero-inflated negative binomial (ZINB) regression analysis indicate that individual characteristics are better predictors of both the occurrence and intensity of personal crime victimization than are macro-level variables related to political and economic conditions of nations. Findings of the current study diverge from those of previous international studies that used official crime data.

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