Suicide reports in the news – impact of Chief Coroner's call to open up suicide reporting

ABSTRACT

Aim: In 2010, the then Chief Coroner called for an opening up of suicide reporting in the press. We aimed to discover if this controversial action influenced the nature and extent of reporting of individual suicide cases in the newsprint media.

Method: A Factiva search of news reports from high circulation newspapers was conducted over four years. We counted the number of news reports of individual suicides and examined any mention of demographics, methods, location and contributing factors.

Results: We retrieved 291 individual suicide reports, 161 before and 130 after the Chief Coroners’ call. Reporting was more detailed after the call, with increased reporting of demographics, contributing factors and methods but less reporting of location. Most of these differences did not reach statistical significance.

Conclusion: The press did not appear to take the action of the Chief Coroner as a licence to report more frequently on individual suicide cases.     

A comparison of alternative variance estimation strategies for estimating the slope of a linear regression in sample surveys

The balanced half-sample, jackknife and linearization methods are used to estimate the variance of the slope of a linear regression under a variety of computer generated situations. The basic sampling design is one in which two PSU's are selected from each of a number of strata . The variance estimation techniques are compared with a Monte Carlo experiment. Results show that variance estimates may be highly biased and variable unless sizeable numbers of observations are available from each stratum. The jackknife and linearization estimates appear superior to the balanced half sample method - particularly when the number of strata or the number of available observations from each stratum is small.     

Assignment errors in histograms with equal class intervals of arbitrary width

It is shown that significant distortions can occur in histograms constructed with a class interval of arbitrary width, due to the inclusion (or omission) of readings in a class interval which do not (do) properly belong to that interval. Unless the class interval width is at least ten times greater than the reading interval the proportion of unrepresentative readings may exceed 10%. In any event caution is required in the interpretation of a histogram in which this effect is present.     

Making the Housing Unit Method Work: An Evaluation of 2010 Population Estimates in Florida

The housing unit (HU) method—in which population estimates are derived from estimates of occupied HUs—is the most commonly used method for making small-area population estimates in the United States. It is widely used because it is conceptually simple, can utilize a wide variety of data sources, can be applied at virtually any level of geography, and often produces reliable estimates. Yet the HU method is more nearly a general approach to population estimation than it is a specific methodology. In this paper, we describe and evaluate several data sources and estimation techniques that can be used in applying the HU method. Using a set of county and subcounty estimates produced by the Bureau of Economic and Business Research (BEBR) at the University of Florida for April 1, 2010, we analyze errors by population size and growth rate, calculate errors for each of the three components of the HU method, and investigate the accuracy of estimates based on several different data sources and estimation techniques. We compare the accuracy of the 2010 estimates with previous BEBR estimates and estimates produced by the U.S. Census Bureau. We conclude that although some data sources and estimation techniques work better than others, the HU method can be tailored to produce reliable population estimates for a wide variety of geographic areas.     

Establishing auditory-tactile-visual equivalence classes in children with autism and developmental delays

The Analysis of Verbal Behavior - The current study sought to evaluate the efficacy of a stimulus equivalence training procedure in establishing auditory–tactile–visual stimulus classes...     

An Evaluation of Population Estimates in Florida: April 1, 2000

The housing unit (HU) method is the most commonly used method for making small-area population estimates in the United States. These estimates are used for a wide variety of budgeting, planning, and analytical purposes. Given their importance, periodic evaluations of their accuracy are essential. In this article, we evaluate the accuracy of a set of HU population estimates for counties and subcounty areas in Florida, as of April 1, 2000. We investigate the influence of differences in population size and growth rate on estimation errors; compare the accuracy of several alternative techniques for estimating each of the major components of the HU method; compare the accuracy of 2000 estimates with that of estimates produced in 1980 and 1990; compare the accuracy of HU population estimates with that of estimates derived from other estimation methods; consider the role of professional judgment and the use of averaging in the construction of population estimates; and explore the impact of controlling one set of estimates to another. Our results confirm a number of findings that have been reported before and provide empirical evidence on several issues that have received little attention in the literature. We conclude with several observations regarding future directions in population estimation research.     

Some New Techniques for Applying the Housing Unit Method of Local Population Estimation: Further Evidence

The housing unit method of population estimation is often characterized as being imprecise and having an upward bias. In an earlier paper we argued that the method itself cannot be properly characterized by a particular level of precision or direction of bias. Only specific techniques of applying the method can have such characteristics. In that paper we presented several new techniques for estimating the number of households and average number of persons per household (PPH). However, the testing of these new techniques was limited by the lack of census results against which the estimates could be compared. Complete census data on population, households, and PPH are now available and can be used to test alternate estimation techniques. In this paper we replicate the tests reported in our earlier paper using 1980 census data for Florida’s 67 counties. These tests provide further evidence that the new techniques produce more precise, less biased estimates than previously used techniques.     

A Model for Inferring the Voluntary and involuntary causes of residential segregation

It is clear that both voluntary and involuntary forces normally contribute to the residential segregation existing between groups. For the most part, the contribution of each dimension has not been determined. Rather, researchers operate as if either one or the other force is operating. In the United States, for example, black-white segregation is assumed to be imposed by whites on blacks, as if the latter were themselves totally indifferent to the racial composition in their areas of residence. On the other hand, it is assumed that segregation between white ethnic groups is at present purely a voluntary matter. In an earlier period, it was assumed that their segregation was both voluntary (reflecting desires to be among compatriots) and involuntary (reflecting the imposition of restrictions on residential movement by other groups as well as economic forces). But it has not been possible for investigators to determine the relative importance of each factor. Using asymmetrical segregation indexes, a rudimentary procedure is proposed for determining the relative importance of voluntary and involuntary forces operating to generate a given level of segregation. Data based on Black, Anglo, and Spanish residential patterns are then considered in terms of the proposed model.     

On the limits of generalizability: applying resource exchange theory to gay relationship processes

In the present studies, we examined patterns of interpersonal resource exchange (E. B. Foa & U. G. Foa, 1980; U. G. Foa & E. B. Foa, 1974) among gay male and female couples. Study 1 was quantitative in nature, whereas Study 2 was qualitative in nature. In Study 1 (n's = 61 male couples and 54 female couples), we explicitly tested the hypotheses that partners in same-sex romantic relationships would exchange affection and respect positively and significantly; results indicated that affection (but not respect) was exchanged or reciprocated positively and significantly among gay male (but not gay female) pairs. In Study 2 (n's = 15 male couples and 15 female couples), we asked the research question, but did not test any formal hypotheses, as to whether same-sex romantic pairs would spontaneously invoke interpersonal resource exchange and other reinforcement processes when describing their relationships; results indicated that gay female (but not gay male) couples appeared to adopt a communal, rather than exchange, orientation toward their relationships with regard to displays of affection. Implications for the study of relationship processes among same-sex romantic pairs are discussed.