“Big Questions” about Intergovernmental Relations and Management: Who Will Address Them?

Fiscal, administrative, and political tensions among the partners in the federal system have not eased, and perhaps have grown, since the demise of the U.S. Advisory Commission on Intergovernmental Relations in 1996. Yet no governmental organizational capacity exists to address big intergovernmental questions in an ongoing manner through nonpartisan or bipartisan research, data collection, deliberation, and policy formulation.     

The Application of the Central Limit Theorem and the Law of Large Numbers to Facial Soft Tissue Depths: T‐Table Robustness and Trends since 2008,

By pooling independent study means (), the T‐Tables use the central limit theorem and law of large numbers to average out study‐specific sampling bias and instrument errors and, in turn, triangulate upon human population means (μ). Since their first publication in 2008, new data from >2660 adults have been collected (c.30% of the original sample) making a review of the T‐Table's robustness timely. Updated grand means show that the new data have negligible impact on the previously published statistics: maximum change = 1.7 mm at gonion; and ≤1 mm at 93% of all landmarks measured. This confirms the utility of the 2008 T‐Table as a proxy to soft tissue depth population means and, together with updated sample sizes (8851 individuals at pogonion), earmarks the 2013 T‐Table as the premier mean facial soft tissue depth standard for craniofacial identification casework. The utility of the T‐Table, in comparison with shorths and 75‐shormaxes, is also discussed.     

Working Smarter on Cold Cases: Identifying Factors Associated with Successful Cold Case Investigations

Cold case squads have garnered much attention; however, they have yet to undergo significant empirical scrutiny. In the present study, the authors interviewed investigators and reviewed 189 solved and unsolved cold cases in Washington, D.C., to determine whether there are factors that can predict cold case solvability. In the interviews, new information from witnesses or information from new witnesses was cited as the most prevalent reason for case clearance. The case reviews determined that there were factors in each of the following domains that predicted whether cases would be solved during cold case investigations: Crime Context, Initial Investigation Results, Basis for Opening Cold Case, and Cold Case Investigator Actions. The results suggest that it is possible to prioritize cold case work based on the likelihood of investigations leading to clearances.     

Patterns in burglary: An empirical examination of offense and offender characteristics

Key cluster analysis was used to examine the various characteristics of both burglars and burglaries to determine the existence and extent of any relationship between the offender and the incident. The data were gathered from six law enforcement agencies in California.Although some patterns were suggestive of a relationship between race, method of entry, and economic level of the burglarized location, no strong patterns could be found.