Methods for Categorical Longitudinal Survey Data: Understanding Employment Status of Australian Women

Many variables that are of interest in social science research are nominal variables with two or more categories, such as employment status, occupation, political preference, or self-reported health status. With longitudinal survey data it is possible to analyse the transitions of individuals between different employment states or occupations (for example). In the statistical literature, models for analysing categorical dependent variables with repeated observations belong to the family of models known as generalized linear mixed models (GLMMs). The specific GLMM for a dependent variable with three or more categories is the multinomial logit random effects model. For these models, the marginal distribution of the response does not have a closed form solution and hence numerical integration must be used to obtain maximum likelihood estimates for the model parameters. Techniques for implementing the numerical integration are available but are computationally intensive requiring a large amount of computer processing time that increases with the number of clusters (or individuals) in the data and are not always readily accessible to the practitioner in standard software. For the purposes of analysing categorical response data from a longitudinal social survey, there is clearly a need to evaluate the existing procedures for estimating multinomial logit random effects model in terms of accuracy, efficiency and computing time. The computational time will have significant implications as to the preferred approach by researchers. In this paper we evaluate statistical software procedures that utilise adaptive Gaussian quadrature and MCMC methods, with specific application to modeling employment status of women using a GLMM, over three waves of the HILDA survey.

Conceptions of health held by Aboriginal, Torres Strait Islander and Papua New Guinea health care students

Health is considered to be a fundamental human right. Concurrently health is assumed to be a global social goal (Bloom, 1987) yet many third-world countries and some sub-populations within developed countries do not enjoy a healthy existence. The research reported in this paper examined the conceptions of health, conceptions of illness and health practices for a group of Aboriginal, Torres Strait Islander, and Papua New Guinea university students studying health science courses. Results found three conceptions of health and three conceptions of illness that showed these students held traditional/cultural and Western beliefs about health and health practices. These findings may contribute to the development of health care courses that are more specific to how these students understand health. This may also serve to improve the educational status of Aboriginal and Torres Strait Islander people and potentially improve the health status within these communities (author abstract)