Defensive Gun Uses: New Evidence from a National Survey

The number of civilian defensive gun uses (DGUs) against criminal attackers is regularly invoked in public policy debates as a benefit of widespread private ownership of firearms. Yet there is considerable uncertainty for the prevalence of civilian DGUs, with estimates ranging from 108,000 (using the National Crime Victimization Survey) to 2.5 million (using smaller telephone surveys) per year. In this paper we analyze the results of a new national random-digit-dial telephone survey to estimate the prevalence of DGU and then discuss the plausibility of the results in light of other well-known facts and possible sources of bias in survey data for sensitive behaviors. Because DGU is a relatively rare event by any measure, a small proportion of respondents who falsely report a gun use can produce substantial overestimates of the prevalence of DGU, even if every true defensive gun user conceals his or her use. We find that estimates from this new survey are apparently subject to a large positive bias, which calls into question the accuracy of DGU estimates based on data from general-population surveys. Our analysis also suggests that available survey data are not able to determine whether reported DGU incidents, even if true, add to or detract from public health and safety.     

The Gender Gap among Teen Survey Respondents: Why are Boys more Likely to Report a Gun in the Home than Girls?

It is a reliable though unexplained feature of national surveys that include items on gun ownership that wives are less likely to report a gun in the home than husbands. In this article we extend the inquiry regarding this gender gap in reporting of household guns to include adolescent children (age 12–17 years). The California Health Interview Survey of 2001, the largest-ever state survey of its kind, includes over 4000 marital households in which both a parent and adolescent child were interviewed and asked whether there was a gun in the home. There is little “age gap” in reporting—California teens are almost as likely to say that there is a gun as are their parents—but there is a gender gap among both the teens and their parents. We also find a large gap in personal experience with guns—boys are three times as likely to report hunting or shooting with a family member than girls. This difference in experience fully accounts for the gender gap in reporting. The relevance of these findings for the interpretation of survey data is clear. Whether there is a gun reported in a home depends to a remarkable extent on which member of the household is asked the question. Hence, the method of selection of respondent(s) from within a household will affect estimates of the patterns and prevalence of gun ownership, and, potentially, the accuracy of case–control studies that use self-report information about guns in the home.

Increasing the transparency of stated choice studies for policy analysis: Designing experiments to produce raw response graphs

We believe a lack of transparency undermines both the credibility of, and interest in, stated choice studies among policy makers. Unlike articles reporting the results of contingent valuation studies, papers in the stated choice literature rarely present simple tabulations of raw response data (that is, a table or graph showing the percentage of respondents agreeing to purchase a good or service, or vote for a proposed management plan as a function of price). We describe an approach for adding “policy” tasks to a standard orthogonal‐in‐attribute‐levels research design that allows the researcher to plot raw responses as a function of changes in only one characteristic of the offered good or service. We demonstrate this approach using data from a stated choice study of private demand for cholera and typhoid vaccines in Kolkata, India, carried out in the summer of 2004. © 2006 by the Association for Public Policy Analysis and Management.     

Structure and validity of people in my life: A self-report measure of attachment in late childhood

No self-report measure of attachment is well validated for middle-childhood. This study examined the validity and factor structure of the People in My Life (PIML) measure in 320 urban, fifth and sixth graders. Validity analyses consisted of correlational analyses between PIML subscales and the Child Behavior Checklist, Delinquency Rating Scale for Self and Others, Heath Resources Inventory, and Reynolds Child Depression Scale. Validity correlations were consistent with a-priori hypotheses. Confirmatory factor analyses consisted of comparison of model fit indices between seven models. Two models fit the data well and both models were consistent with the traditionally used PIML scoring protocol. Moreover, both models were consistent with the Inventory of Parent and Peer Attachment (IPPA), on which the PIML is modeled, as well as the theoretical underpinnings of attachment in childhood. The PIML and IPPA provide instruments for obtaining a continuous self-report measure of attachment from middle-childhood through adulthood.