Female murderers in a southern city, 1975–1992

A study of a population of 36 females arrested for homicide in a southern, nonurban city from 1975 to 1992 was conducted using both qualitative and quantitative data. The study explored the demographic, social, legal, and offense characteristics of female homicide offenders as well as events leading to the murder. The profile of female homicide offenders in a southern, non-urban setting that emerged from this study is supportive of earlier studies focusing on female homicide offenders in large urban areas.     

Strain,Negative Emotions,and Deviant Coping Among African Americans: A Test of General Strain Theory

Although previous research on Agnew's (1992) general strain theory (GST) tends to yield significant effects of strain on negative emotions as well as deviance and crime, results tend to be mixed with regard to (1) the effects of negative emotions on deviance and crime and (2) conditioning factors that Agnew suggests affect the selection of coping strategies. To address these issues, we test hypotheses, derived from GST, about the relationships among strain, negative emotions, and deviant coping by analyzing data from a nationally representative sample of African American adults. Ordinary least squares regression results generally support our hypotheses. First, fully mediating the effects of strain on deviant coping, negative emotions have consistently significant effects on deviance, regardless of whether we use composite or separate measures of inner- and outer-directed emotions and deviance. Interestingly, as hypothesized, the same-directed effects of negative emotions on deviant coping are larger than the opposite-directed ones. Second, while self-esteem and self-efficacy as conditioning factors generally fail to receive empirical support, religiosity is found to significantly buffer the effects of negative emotions on deviance. Implications of our findings for further development of GST are discussed.     

Assessment of Perceived Parenting Behaviors: The Exposure to Abusive and Supportive Environments Parenting Inventory (EASE-PI)

Due to an awareness of the frequency of child abuse and lack of a single instrument to assess the extent of exposure to both the abusive and supportive environments provided by parents, a 70 item inventory (the EASE-PI) was developed that is a self-report on how both mother and father treated the respondent. A factor analysis, which was subsequently replicated, revealed three abusive factors (representing emotional, physical, and sexual abusiveness) and three supportive factors (love/support, promotion of independence, and positive modeling/fairness). The same factors emerged regardless of gender of respondent and gender of parent. The inventory provides a means to investigate the differential and interactive effects of exposure to emotional, physical, and sexual abusiveness and the possible mitigating effects of different types of supportive behaviors by each parent.     

High performance liquid chromatography-immunoassay of delta 9-tetrahydrocannabinol and its metabolites in urine

High performance liquid chromatographic-immunoassay (HPLC-IA) profiles of cannabinoid metabolites in urine samples were obtained using four different antisera. The urines were chromatographed on a reverse phase system using a gradient of acetonitrile in water (pH 3.3) and fractions collected every 30 s. Some urine samples were hydrolyzed with methanolic sodium hydroxide before fractionation. Peaks of immunoreactivity were detected at a fraction corresponding to 11-nor-9-carboxy-delta 9-tetrahydrocannabinol (COOH-THC) and at an early eluting fraction; however, the profiles depended upon the specificity of the antisera used.     

Rationing,defective inputs and Bayesian updates under central planning

The enterprise manager anticipates that he will be rationed in his input markets and is required to meet an output target. In order to avoid a penalty for missing the output target, he can purchase the inputs at an earlier time, when rationing is not in effect, but then he must incur an inventory cost. The inputs themselves are defective with a known mean rate but unknown variability; the manager has a prior density over this parameter. He can solve the relevant expected-cost minimisation problem in three ways: (a) by simultaneously determining the optimal amounts to be ordered on the two dates, (b) by dynamic programming, and (c) by dynamic programming combined with Bayesian learning. The paper investigates the properties of the optimal solution under the three scenarios with respect to variations in the defective rate, the level of uncertainty and the relative costs of inventories and of missing the target.