The social stratification of tongue shape for postvocalic /r/ in Scottish English1

The sociolinguistic modelling of phonological variation and change is almost exclusively based on auditory and acoustic analyses of speech. One phenomenon which has proved elusive when considered in these ways is the variation in postvocalic /r/ in Scottish English. This study therefore shifts to speech production: we present a socioarticulatory study of variation of postvocalic /r/ in CVr (e.g. car) words, using a socially‐stratified ultrasound tongue imaging corpus of speech collected in eastern central Scotland in 2008. Our results show social stratification of /r/ at the articulatory level, with middle‐class speakers using bunched articulations, while working‐class speakers use greater proportions of tongue‐tip and tongue‐front raised variants. Unlike articulatory variation of /r/ in American English, the articulatory variants in our Scottish English corpus are both auditorily distinct from one another, and correlate with strong and weak ends of an auditory rhotic continuum, which also shows clear social stratification.     

Risk Factors for Clinically Significant Intimate Partner Violence Among Active‐Duty Members

Hypothesized risk factors for men's and women's clinically significant intimate partner violence (CS‐IPV) from four ecological levels (i.e., individual, family, workplace, community) were tested in a representative sample of active‐duty U.S. Air Force members (N = 42,744). When considered together, we expected only individual and family factors to account for unique variance in CS‐IPV perpetration. Hypothesized factors from all four ecological levels were related to men's CS‐IPV perpetration bivariately, but, as expected, only individual and family factors accounted for unique variance across ecological levels. For women, only risk factors from the individual and family levels were significantly related to CS‐IPV perpetration even bivariately. Results imply somewhat different risk profiles across gender and identify ecological risk factors of men's CS‐IPV not previously studied.     

Constructing optimal designs for fitting pharmacokinetic models

We consider some computational issues that arise when searching for optimal designs for pharmacokinetic (PK) studies. Special factors that distinguish these are (i) repeated observations are taken from each subject and the observations are usually described by a nonlinear mixed model (NLMM), (ii) design criteria depend on the model fitting procedure, (iii) in addition to providing efficient parameter estimates, the design must also permit model checking, (iv) in practice there are several design constraints, (v) the design criteria are computationally expensive to evaluate and often numerical integration is needed and finally (vi) local optimisation procedures may fail to converge or get trapped at local optima.We review current optimal design algorithms and explore the possibility of using global optimisation procedures. We use these latter procedures to find some optimal designs.For multi-purpose designs we suggest two surrogate design criteria for model checking and illustrate their use.     

Reconsideration of the F-test of the analysis of variance: the semi-bayesian significance test

The usual F-test of the analysis of variance is reconsidered within the Bayesian framework, In terms of predictive distributions, This leads to the notion of semi-Bayesian significance test, so called because it consists in only probabilizing the space of nuisance parameters, thus bringing a general principle for “eliminating” nuisance parameters, or more exactly incorporating information about these parameters. The approach is shown to extend the F-tests, by allowing the testing of hypotheses of non-zero effects.