Agenda Setting,Public Opinion,and the Issue of Immigration Reform*

Objective. Agenda‐setting theory is used to motivate hypotheses about how media coverage of immigration influences public perceptions of its importance. The authors seek to offer a more complete explanation of public opinion on immigration by exploring differences in the effects of immigration news in border and nonborder states. Method. This article employs content analyses of newspaper coverage of immigration and Gallup public opinion data over a 12‐month period (January–December 2006). Respondents' identification of immigration as a “Most Important Problem” is modeled as a conditional relationship between border state/nonborder state residence and media coverage, ethnic context, and individual‐level demographics. Results. Media attention to immigration is greater in border states than in nonborder states; as a result, residents of border states are more likely to identify immigration as a most important problem than are residents of nonborder states. Conclusions. The analyses point to the importance of geography and news coverage in explanations of public opinion on immigration.     

Where are the children? Exploring the boundaries between text and context in the study of place and space in four different countries

In this article, we demonstrate how the cultural conceptions of a team of five researchers from different cultural and national backgrounds can be used as a source of knowledge during a collective, self‐reflexive analytical process. While collectively analysing texts describing daily life produced by first‐grade children and their parents in China, Norway, South Africa and the United States, the research team engaged in a collectively negotiated analytical process, which we refer to as an ‘analytic negotiating method’. The strength of this process rests on the ability to examine critically the boundaries between the researcher's contextual conceptions and conceptions derived from the texts. Engaging in this kind of negotiated analytical process contributes to scholarship by working towards a level of self‐reflexivity that makes the link between empirical data and researcher interpretation more transparent and produces a sensitivity to context that allows insights into the conceptions of childhood that operate cross‐culturally.     

Estimation of the Jump Size Density in a Mixed Compound Poisson Process

In this paper, we consider a mixed compound Poisson process, that is, a random sum of independent and identically distributed (i.i.d.) random variables where the number of terms is a Poisson process with random intensity. We study nonparametric estimators of the jump density by specific deconvolution methods. Firstly, assuming that the random intensity has exponential distribution with unknown expectation, we propose two types of estimators based on the observation of an i.i.d. sample. Risks bounds and adaptive procedures are provided. Then, with no assumption on the distribution of the random intensity, we propose two non‐parametric estimators of the jump density based on the joint observation of the number of jumps and the random sum of jumps. Risks bounds are provided, leading to unusual rates for one of the two estimators. The methods are implemented and compared via simulations.     

On the Ghoudi,Khoudraji, and Rivest test for extreme‐value dependence

Ghoudi, Khoudraji & Rivest [The Canadian Journal of Statistics 1998;26:187–197] showed how to test whether the dependence structure of a pair of continuous random variables is characterized by an extreme‐value copula. The test is based on a U‐statistic whose finite‐ and large‐sample variance are determined by the present authors. They propose estimates of this variance which they compare to the jackknife estimate of Ghoudi, Khoudraji & Rivest ( 1998 ) through simulations. They study the finite‐sample and asymptotic power of the test under various alternatives. They illustrate their approach using financial and geological data. The Canadian Journal of Statistics © 2009 Statistical Society of Canada     

A general causal model to guide alcohol, tobacco, and illicit drug prevention: assessing the research evidence

The problems associated with the use of alcohol, tobacco, and other drugs (ATOD) extract a significant health, social, and economic toll on American society. While the field of substance abuse prevention has made great strides during the past decade, two major challenges remain. First, the field has been disorganized and fragmented with respect to its research and prevention practices; that is, there are often separate ATOD prevention "specialists." Second, both the prevention researchers who test the efficacy of specific prevention strategies and the practitioners who implement prevention efforts often lack an overall perspective to guide strategy selection. To address these limitations, we present an ATOD causal model that seeks to identify those variables (Domains) that are theoretically salient and empirically connected across alcohol, tobacco, and illicit drugs. For the researcher, the model demonstrates important commonalities, as well as gaps, in the literature. For the practitioner, the model is a means to recognize both the complexity of the community system that produces ATOD problems and the multiple intervention points that are possible within this system. Researchers and practitioners are thus challenged to work synergistically to find effective and cost-effective approaches to change or reduce ATOD use and associated problems.     

The relationship between bankers and farmers: An analysis of Britain and Ireland

The financial sector is playing a more central role in agriculture. This article analyzes the external provision of finance for farmers in Britain and the Irish Republic, drawing principally on interviews with bankers and specialist providers of agricultural finance. The development of farm credit institutions in the two countries and their subsequent commercialization is discussed. Agriculture is commercially attractive to lenders as part of a balanced portfolio because of its stable, low risk character. Credit selectivity is confirmed as a feature of lender behaviour, although its consequences are likely to be more far reaching in Ireland. Lenders' perceptions of the financial sophistication of farmers is assessed, the more financially sophisticated farmer being more receptive to the logic of the financial sector and hence a more attractive customer. An emphasis on tax avoidance can lead farmers into irrational borrowing decisions. Larger farmers are better placed to take advantage of lending opportunities and new financial instruments.     

“Invisible During My Own Crisis”: Responses of LGBT People of Color to the Orlando Shooting

On June 12, 2016, the Pulse nightclub in Orlando, Florida was the target of one of the country’s deadliest mass shootings. Pulse, a gay nightclub, was hosting a Latin Pride Night the evening of the tragedy, which resulted in the death of 49 victims and 53 casualties, over 90% of whom were lesbian, gay, bisexual, and transgender (LGBT) Latinx people, specifically. The present research investigates the narrative responses from LGBT people of color (LGBT-POC) following the tragedy. Results included an analysis of 94 participant narrative responses. Results were collected online from a sample of LGBT-POC with varying sexual, gender, and racial identities. Thematic analysis revealed four major themes: (1) Violence is Not New for LGBT-POC; (2) Personal Identification with Victims; (3) Lack of Intersectionality in Others’ Responses to Orlando; and (4) Acknowledgment of Intersectionality across LGBT-POC. Discussion focuses on describing the ways in which LGBT-POC responded to the shooting regarding their multiple minority identities. Implications of this research reinforce the need for continued intersectional research with LGBT-POC.     

Predicting program success for adult offenders with serious mental illness in a court ordered diversion program

ABSTRACT

Individuals with mental illnesses are disproportionately involved with the criminal justice system and are now being diverted from jails to community-based supervision. This study examines secondary data from a state hospital, mental health diversion program. Logistic regression was used to examine risk factors that best predicted successful program completion. Results indicate that non-whites are more likely to complete. Participants in supervised housing, ever been re-hospitalized, diagnosed with a depressive or psychotic disorder or who had their probation revoked were less likely to complete. Findings indicate practitioners should provide a holistic and individually oriented treatment approach for success.