The case confessions of a pastoral visitor

When a bungled catheterization following surgery causes a life-threatening hemorrhage, this Lutheran minister and hospital chaplain finds himself on the receiving end of professional pastoral care. Regretting the times in offered "Gospel platitudes and sugar-coated Bible verses" to suffering patients, the author finds that his experience has brought him closer to God's presence and made him a better minister.     

Comparing Check-All and Forced-Choice Question Formats in Web Surveys

For survey researchers, it is common practice to use the check-allquestion format in Web and mail surveys but to convert to theforced-choice question format in telephone surveys. The assumptionunderlying this practice is that respondents will answer thetwo formats similarly. In this research note we report resultsfrom 16 experimental comparisons in two Web surveys and a papersurvey conducted in 2002 and 2003 that test whether the check-alland forced-choice formats produce similar results. In all 16comparisons, we find that the two question formats do not performsimilarly; respondents endorse more options and take longerto answer in the forced-choice format than in the check-allformat. These findings suggest that the forced-choice questionformat encourages deeper processing of response options and,as such, is preferable to the check-all format, which may encouragea weak satisficing response strategy. Additional analyses showthat neither acquiescence bias nor item nonresponse seem topose substantial problems for use of the forced-choice questionformat in Web surveys.     

Bayesian methods for analysing ringing data

A major recent development in statistics has been the use of fast computational methods of Markov chain Monte Carlo. These procedures allow Bayesian methods to be used in quite complex modelling situations. In this paper, we shall use a range of real data examples involving lapwings, shags, teal, dippers, and herring gulls, to illustrate the power and range of Bayesian techniques. The topics include: prior sensitivity; the use of reversible-jump MCMC for constructing model probabilities and comparing models, with particular reference to models with random effects; model-averaging; and the construction of Bayesian measures of goodness-of-fit. Throughout, there will be discussion of the practical aspects of the work - for instance explaining when and when not to use the BUGS package.     

Aggregate, Disaggregate, and Hybrid Analyses of Ecological Risk Perceptions

Laypeople's perceptions of health and safety risks have been widely studied, but only a few studies have addressed perceptions of ecological hazards. We assembled a list of 39 attributes of ecological hazards from the literatures on comparative risk assessment, ecological health, environmental conservation and management, environmental psychology, and risk perception. In Study 1, 125 laypeople evaluated 83 hazards on subsets of this attribute set. Factor analysis of attribute ratings (averaged over participants) revealed six oblique factors: ecological impacts, human impacts, human benefits, aesthetic impacts, scientific understanding, and controllability. These factors predicted mean judgments of overall riskiness, ecological riskiness, acceptability, and regulatory strictness. In Study 2, 30 laypeople each evaluated 34 hazards on 17 attributes and 3 dependent variables. Aggregate-level factor analysis of these data replicated the appropriate portion of the factor solution and yielded similar regression results. Parallel analyses at the individual-participant level yielded factors that explained less variance in judgments of overall riskiness, ecological riskiness, and acceptability. However, the decrease in explanatory power was much less than is often reported for disaggregate-level analyses of psychometric data. This discrepancy illustrates the importance of distinguishing between the level of analysis (aggregate versus disaggregate) and the focus of analysis (distinctions among hazards versus distinctions among participants). In a hybrid analysis, aggregate-level factor scores predicted individual participants' riskiness judgments reasonably well. Psychometric studies such as these provide a sound empirical basis for selecting attributes of ecological hazards for use in comparative risk assessment.     

The efficient integration of abundance and demographic data

Summary. A drawback of a new method for integrating abundance and mark–recapture–recovery data is the need to combine likelihoods describing the different data sets. Often these likelihoods will be formed by using specialist computer programs, which is an obstacle to the joint analysis. This difficulty is easily circumvented by the use of a multivariate normal approximation. We show that it is only necessary to make the approximation for the parameters of interest in the joint analysis. The approximation is evaluated on data sets for two bird species and is shown to be efficient and accurate.     

Revisiting 'communities in Britain'

In this article I re‐examine Frankenberg’s Communities in Britain (1966) and his use of a ‘morphological continuum’ within his analysis. This analysis is itself a re‐assessment of some influential community studies conducted within the British Isles. I look at some particular ideas within the more theoretical part of this book, especially the ideas of ‘social redundancy’ and the distinction between ‘complex’ and ‘complicated’. I then consider some themes arising from some more recent studies. These themes include identity, networks and social capital and time and I argue that Frankenberg's analysis can still provide the reader with useful tools to think through the ideas and practices of community.