Attitudinal support for violence against women: What a population‐level survey of the Australian community can and cannot tell us

Violence against women (VAW) is a serious and prevalent problem globally. Societal‐level norms, practices and structures are among the factors contributing to it, sometimes referred to collectively as representing “cultures of support” for VAW. Understanding factors contributing to these cultures is important for prevention, but remains the subject of debate. Population‐level surveys of attitudes toward VAW are one means to strengthen this understanding. Although there are a number of such surveys internationally, scholarly research based on secondary analysis of data, at least from surveys in high‐income countries, is scant. This article reports on new analyses of the Australian National Community Attitudes Towards Violence Against Women survey to explore its potential to further empirical and conceptual understanding of cultures of support for VAW. To facilitate this, a scale to measure attitudes toward VAW was developed post hoc from the survey (the Violence Supportive Attitudes, or VSA‐18, Scale). Subsequent analyses investigate the relationship between this scale and relevant demographic factors and a measure of attitudinal support for gender equality (GE). The GE measure, place of birth, employment and occupation, generation, education and sex contribute to variance in the VSA‐18 Scale. Findings are discussed in the context of theoretical debates and directions for future research.     

Calculation of marginal densities for parameters of multinomial distributions

The full Bayesian analysis of multinomial data using informative and flexible prior distributions has, in the past, been restricted by the technical problems involved in performing the numerical integrations required to obtain marginal densities for parameters and other functions thereof. In this paper it is shown that Gibbs sampling is suitable for obtaining accurate approximations to marginal densities for a large and flexible family of posterior distributions—the family. The method is illustrated with a three-way contingency table. Two alternative Monte Carlo strategies are also discussed.     

Breastfeeding initiation for Aboriginal and Torres Strait Islander women in Victoria: analysis of routinely collected population-based data

Background

Increasing breastfeeding rates is one way of improving the short and long term health of Aboriginal and Torres Strait Islander children (hereafter referred to as Aboriginal). Despite the benefits of breastfeeding and recommendations for strategies to increase breastfeeding among Aboriginal people, there is a lack of available population data.

Model-based inference for categorical survey data subject to non-ignorable non-response

We consider non-response models for a single categorical response with categorical covariates whose values are always observed. We present Bayesian methods for ignorable models and a particular non-ignorable model, and we argue that standard methods of model comparison are inappropriate for comparing ignorable and non-ignorable models. Uncertainty about ignorability of non-response is incorporated by introducing parameters describing the extent of non-ignorability into a pattern mixture specification and integrating over the prior uncertainty associated with these parameters. Our approach is illustrated using polling data from the 1992 British general election panel survey. We suggest sample size adjustments for surveys when non-ignorable non-response is expected.