Dental shape match rates in selected and orthodontically treated populations in New York State: a two-dimensional study

Forensically identifying a suspect's dentition from a bitemark in an open population requires the supposition that every person's dental alignment is different. There have been few studies that have tested this claim. Four hundred and ten lower anterior dentitions from a selected population and 110 lower anterior dentitions from one that was orthodontically treated were measured using geometric morphometric analysis, allowing comparison of arch shape. Dental match rates of 1.46% and 42.7% of individuals were found in the respective populations, given an established measurement error. Orthodontic treatment had a strong effect on match rate suggesting that treated or naturally well-aligned dentitions may be indistinguishable. Sexual dimorphism was found to be only slightly significant. Principal shape variation in both populations was degree of arch curvature. Results of studying these populations show that dental matches can occur, and that statements of certainty concerning individualization in such populations should be approached with caution.     

License plate reader (LPR) police patrols in crime hot spots: an experimental evaluation in two adjacent jurisdictions

Objectives  

This randomized controlled experiment tests whether license plate readers (LPR) deter crime generally, and automobile crime more specifically in crime hot spots. The limited intervention tested here reflects one current likely use of LPR at the time of this publication.     

Improving eyewitness identification accuracy by screening out those who say they don't know

Improving eyewitness identification evidence remains a key priority for research. Basic laboratory research has consistently demonstrated that allowing participants to withhold answers about which they are unsure leads to improved accuracy. Surprisingly, this approach has not been the subject of comprehensive investigation in the eyewitness identification literature. In this article, we explored the utility of allowing uncertain witnesses to opt out of an identification decision, by providing an explicit don't know option. Further, we contrasted the rate of use of this explicit option with the frequency that participants spontaneously withheld a decision when asked to respond in their own words. Four hundred and twenty participants witnessed a mock crime video before being presented with a showup of the perpetrator or an innocent suspect. Participants were tested either immediately or after a 3-week delay, with one of the three report options: Participants either made their choice in their own words (spontaneous report), chose between identifying and rejecting the showup (forced-report), or chose between identification, rejection and don't know (free-report). Only 2.2% of witnesses spontaneously used a don't know response, compared to 19.3% who used it when the option was explicit. Compared with the forced-report decisions, free-report decisions were more accurate, more diagnostic of the suspect's guilt or innocence, and came at no cost to the number of correct decisions rendered. These data suggest that utilisation of an explicit don't know option may be of practical value.     

Eyewitness Identification Accuracy and Response Latency

Eyewitness identification research has reliably shown that accurate identifications are faster than inaccurate identifications. Recently, D. Dunning and S. Perretta (2002) claimed that an identification latency of 10-12 s not only best discriminates between accurate and inaccurate identifications but also produces extremely high accuracy rates, approaching 90%. Consistent with predictions from recognition memory theory, however, we show that the optimum time boundary varies with overall response latency under manipulations of retention interval and nominal lineup size, and that the accuracy rate inside the optimum time boundary is much less impressive than previously reported. We outline directions for clarifying the accuracy and latency relationship to assist the reliable diagnosis of identification accuracy.     

Who Said What? The Effects of Source Cues in Issue Frames

Drawing on previous research concerning the role that source cues play in political information processing, we examine whether an ideological identity match between the source of a framed message and the respondent moderates framing effects. We test our hypotheses in two experiments concerning attitudes toward a proposed rally by the Ku Klux Klan. In Experiment 1 (N = 274), we test our hypothesis in a simple issue framing experiment. We find that framing effects occur for strong identifiers only when there is a match between the ideology of the speaker and respondent. In Experiment 2 (N = 259), we examine whether matched frames resonate equally well when individuals are simultaneously exposed to competing frames. The results from this experiment provide mixed support for our hypotheses. The results from our studies suggest that identity matching is an important factor to consider in future framing research.     

The effects of state policy design features on take-up and crowd-out rates for the State Children's Health Insurance Program.

We evaluate the effects of state policy design features on SCHIP take-up rates and on the degree to which SCHIP benefits crowd out private benefits. The results indicate overall program take-up rates of approximately 10 percent. However, there is considerable heterogeneity across states, suggesting a potential role of inter-state variation in policy design. We find that several design mechanisms have significant and substantial positive effects on take-up. For example, eliminating asset tests, offering continuous coverage, simplifying the application and renewal processes, and extending benefits to parents all have sizable and positive effects on take-up rates. Mandatory waiting periods, on the other hand, consistently reduce take-up rates. In all, inter-state differences in outreach and anti-crowd-out efforts explain roughly one-quarter of the cross-state variation in take-up rates. Concerning the crowding out of private health insurance benefits, we find that between one-quarter and one-third of the increase in public health insurance coverage for SCHIP-eligible children is offset by a decline in private health coverage. We find little evidence that the policy-induced variation in take-up is associated with a significant degree of crowd out, and no evidence that the negative effect on private coverage caused by state policy choices is any greater than the overall crowding-out effect. This suggests that states are not augmenting take-up rates by enrolling children that are relatively more likely to have private health insurance benefits.     

Exit,Voice, and Cyclicality: A Micrologic of Midterm Effects in European Parliament Elections

Very few theories of democratic elections can claim to overarch the field. One of them that has not been given due regard, I suggest, is Albert Hirschman's Exit, Voice, and Loyalty. I aim to exploit the integrative capacity of this general framework in a model of typical “midterm” effects occurring through the electoral cycle. The model unites such diverse phenomena as antigovernment swings, declining turnout, protest voting, conversion, and alienation. An empirical test with comparative survey data from elections to the European Parliament reveals that the role of strategic voting in the form of voice is limited. Instead, processes of de‐ and realignment in the form of exit dominate a picture of European Parliament elections beyond the widespread conception of “second‐order” irrelevance. More generally, the “cyclical” view on voting behavior suggests systematic links between short‐run midterm effects and long‐run electoral change.     

Placing Racial Stereotypes in Context: Social Desirability and the Politics of Racial Hostility

Past research indicates that diversity at the level of larger geographic units (e.g., counties) is linked to white racial hostility. However, research has not addressed whether diverse local contexts may strengthen or weaken the relationship between racial stereotypes and policy attitudes. In a statewide opinion survey, we find that black‐white racial diversity at the zip‐code level strengthens the connection between racial stereotypes and race‐related policy attitudes among whites. Moreover, this effect is most pronounced among low self‐monitors, individuals who are relatively immune to the effects of egalitarian social norms likely to develop within a racially diverse local area. We find that this racializing effect is most evident for stereotypes (e.g., African Americans are “violent”) that are “relevant” to a given policy (e.g., capital punishment). Our findings lend nuance to research on the political effects of racial attitudes and confirm the racializing political effects of diverse residential settings on white Americans.