TRENDS IN THE GENDER GAP IN VIOLENT OFFENDING: NEW EVIDENCE FROM THE NATIONAL CRIME VICTIMIZATION SURVEY*

Recent research has compared male and female trends in violent offending in Uniform Crime Report (UCR) arrest data with similar trends derived from victims' reports in the National Crime Victimization Survey (NCVS) and has concluded that the two data sources produce contrary findings. In this article, we reassess this issue and draw different conclusions. Using pooled National Crime Survey (NCS) and NCVS data for 1973 to 2005, we find that the female‐to‐male offending rate ratios for aggravated assault, robbery, and simple assault have increased over time and that the narrowing of the gender gaps is very similar to patterns in UCR arrest data. In addition, we find that these patterns are in part caused by larger decreases in male than female offending after the mid‐1990s and not by recent increases in violent offending rates among females. We conclude that changes in the gender gaps in aggravated assault, robbery, and simple assault are real and not artifacts; therefore, these changes deserve serious attention in future research. We conclude with a discussion of several hypotheses that might account for a narrowing of the gender gap in nonlethal violent offending over time.     

TOWARD A MACRO-SOCIOLOGICAL INTERPRETATION OF GENERAL DETERRENCE

This paper is focused on the problem of general deterrence as a macro-sociological phenomenon. An attempt has been made to integrate existing literature into a set of testable hypotheses Three perspectives on general deterrence are examined, including the classical school of criminology and the positions of Durkheim and Sumner. The variables of certainty and seventy, type of threatened behavior, latent deterrent functions of legal threats, and normative structure are discussed. It is suggested that compliance rates may be used as an empirical index of general deterrence.     

DIFFERENTIAL ASSOCIATION AND MARIJUANA USE: A CLOSER LOOK AT SUTHERLAND (WITH A LITTLE HELP FROM BECKER)*

Based on Sutherland's differential association theory and Becker's early research on marijuana use, a contingency model estimating the exact probability of getting high on marijuana under various associational and motivational conditions is specified and tested. Data from surveys at two universities fit this model closely. Predicted first-order interactions and nonlinear effects of motivational balance and peer association are statistically significant and generate highly precise estimates of the probability of getting high. These results suggest that linear main-effects models employed in previous research on differential association processes do not adequately reject the complex casual structure of Sutherland's theory. In addition, this study raises serious questions about claims that differential association theory is untestable and has been made outdated by social learning theory.