We examine the effects of interviewer-respondent familiarity on both response patterns and rates of item nonresponse when self-administered questions (SAQs) are used. We use SAQ data from a survey in which the researchers experimentally ensured that there would be varying degrees of familiarity between interviewers and respondents. Our results reveal only minimal differences in response patterns by degree of prior acquaintance between interviewer and respondent, indicating that SAQs are effective at eliminating potential bias stemming from such relationships. Our results for item nonresponse depend on how we measure the relationship between interviewer and respondent; but in all cases, it is clear that prior knowledge of one another, far from harmful, leads to low nonresponse rates to SAQs. Thus, researchers using SAQs may not need to adhere to the norm that interviewers and respondents must be strangers, with practical and cost-effective consequences for data collection.
Using a novel data set created from police narratives between 2005 and 2010, this article examines whether and how police reporting varies before and after the implementation of 287(g), a local enforcement program located in Nashville's Davidson County, a new immigrant gateway city. We examine patterns of symbolic language used by police officers related to arrests of immigrants and U.S. natives, and examine whether differences emerge before and after May 2007, when the 287(g) program began. Results show significant shifts in the reasons given for arrests before and after implementation of 287(g), and characteristics about foreignness such as country of origin, language use, and legal status that became more salient after 287(g). We argue that the 287(g) program-coupled with the political climate in which it was embedded-bestowed salience on traits that, in the past, were not relevant. That is, our findings suggest that anti-immigrant laws, such as 287(g), play an important role in the social construction of legal status among police officers.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.