The Distribution of Household Property Crimes

Previous studies have established that repeat victimizations occur more frequently than would be expected if households within a particular area were victimized randomly. This implies that characteristics of the household affect the victimization rate. Even controlling for these characteristics, we find that a Poisson model does not capture the distribution of victimizations because repeat victimizations are more concentrated than it would indicate. This leads us to adopt the negative binomial generalization of the Poisson model. Our analysis uses sociodemographic attributes of the household and community-level characteristics to predict victimizations, with the victimization data being the observed number of property crime victimizations from the 1992 British Crime Survey. The negative binomial generalization is found to be highly statistically significant and the crime concentration it implies becomes much more marked as the predicted number of victimizations increases.     

Performance Standards and Evaluation

The benefits of performance monitoring for public services are identified as greater transparency of objectives and accountability for results. This article considers recent experience in developing standards to evaluate efficiency and effectiveness of public services. In broad terms this is being done through performance information which is a much more encompassing concept than standards or indicators. Such information is an element of an accountability framework that provides greater management autonomy and flexibility and extends to the private sector which is increasingly providing, or involved with the provision of, public services.     

Forensic comparison of soils by bacterial community DNA profiling

This preliminary investigation has shown that a soil microbial community DNA profile can be obtained from the small sample of soil recovered from the sole of a shoe, and from soil stains on clothing. We have also shown that these profiles are representative of the site of collection and therefore could potentially be used as associative evidence to prove a link between suspects and crime scenes. Soil community profiles were obtained using the T-RFLP fingerprinting method that uses fluorescent primer technology and semi-automated analysis techniques similar to those used in human DNA profiling in forensic laboratories.     

Measuring the frequency occurrence of handwritten numeral characteristics—An expanded list

In the third of a series of studies and reports, the authors expand on the frequency occurrence proportions of various handwritten features. The first study culminated in the publication of “Measuring the Frequency Occurrence of Handwriting and Handprinting Characteristics.” That study was followed by “Measuring the Frequency Occurrence of Handwritten Numeral Characteristics.” The premise of this current and future follow‐up studies is to expand on the initial lists of information incrementally by expanding the number of features and the number of writers. This study expands on the list of numeral features. A total of 34 numeral features was selected by the authors as candidates for this study and tested through an attribute agreement analysis. Based on the results of the testing, 17 new features have been added to the list of proportions. The original 1410 handwritten numeral specimen forms were utilized and pared to 1024 to obtain a proper population sampling for the United States. Interdependency testing was conducted on 783 pairs of inter‐character numerals. A coefficient of correlation between ?0.2 and +0.2 was found in 534 (68.20%) of these pairs. As of this report, there are now a total of 42 numerals with measured frequencies of occurrence. This material has already borne fruit as the combined frequency of occurrence studies were explained during an unsuccessful exclusion hearing in court with an explanation as to how these studies support the reliability of forensic document examination.