Categorical Structures in Non-Commutative Measure Theory.

In this paper, we investigate effect algebras and base normed spaces from the categorical point of view. We prove that the category of effect algebras is complete and cocomplete as well as the category of base normed spaces is complete, and discuss the contravariant functor from the category of effect algebras to the category of base normed spaces.

A nation at risk : the imperative for educational reform : a report to the Nation and the Secretary of Education, United States Department of Education /

Item 455-B-2

A methodology for analyzing general categorical data with misclassification errors with an application in studying seat belt effectiveness. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

An imperative duty. A novel,

Mode of access: Internet.

Sources of information on federal programs providing categorical aid for local school districts and other educational agencies.

"July, 1971."

Summaries of categorical pretreatment standards /

"November, 1987."

Multiple classification analysis ; a report on a computer program for multiple regression using categorical predictors /

Bibliographical footnotes.

A Bayesian hierarchical model for categorical longitudinal data from a social survey of immigrants

The paper investigates a Bayesian hierarchical model for the analysis of categorical longitudinal data from a large social survey of immigrants to Australia. Data for each subject are observed on three separate occasions, or waves, of the survey. One of the features of the data set is that observations for some variables are missing for at least one wave. A model for the employment status of immigrants is developed by introducing, at the first stage of a hierarchical model, a multinomial model for the response and then subsequent terms are introduced to explain wave and subject effects. To estimate the model, we use the Gibbs sampler, which allows missing data for both the response and the explanatory variables to be imputed at each iteration of the algorithm, given some appropriate prior distributions. After accounting for significant covariate effects in the model, results show that the relative probability of remaining unemployed diminished with time following arrival in Australia.

Sexual partner preferences: evolutionary imperative, emotional attachment or hedonism?

Data are taken from a representative sample of the Australian population to determine the qualities that are desired in a sexual partner. These qualities are considered in three categories: those reflecting the perceived reproductive value of the partner (evolutionary imperative), the emotional attachment to a partner and the pure pleasure associated with having sex. Subjects completed a telephone-based survey 876 males; 908 females; aged 18-59). The qualities respondents report they most desire in a sexual partner are that the person is someone who cares about them, and whom they love. They also rank highly the criterion that their partner should enjoy sex, and much less highly that they themselves should enjoy the sex. Evolutionary imperatives are ranked fairly low as criteria sought in a sexual partner. Males and females generally expressed similar preferences in a sexual partner, as do persons in different age groups, and persons in different marital status categories. Heterosexual males appear to place a higher emphasis on the physical appearance of a partner when compared with non-heterosexuals. [PUBLICATION ABSTRACT]

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.

France and the construction of Europe, 1944-2007:the geopolitical imperative

In the second half of the twentieth century France played the greatest role - even greater than Germany’s - in shaping what eventually became the European Union. By the early twenty-first century, however, in a hugely transformed Europe, this era had patently come to an end. This comprehensive history shows how France coupled the pursuit of power and the furtherance of European integration over a sixty-year period, from the close of the Second World War to the hesitation caused by the French electorate’s referendum rejection of the European Union’s constitutional treaty in 2005.

Personal selling of high-technology products:the solutions-selling imperative

Traditional focus on the study of high-technology firms and products has practically ignored the importance and potential contributions of the sales force, especially in business-to-business marketing. This article suggests that traditional sales force strategies associated with high-technology products have been supply driven (i.e., driven by the strategies of the marketing firm). We suggest that in order to enhance the success of high-technology products and services, firms need to be more demand driven in their sales structures (i.e., driven by the strategies of the buying firm). We suggest that it is imperative that high-technology firms adopt “solution selling” to enhance high-technology adoption as well as enhance competitiveness. We describe this change in focus and draw out its various managerial and academic implications.

Measuring work group diversity of categorical variables

The article presents abstracts of papers for a conference on research methods including "On the Folly of Rewarding A While Hoping for B: A Critical Assessment of Theory Development," "All That Jazz: A Methodological Story of Stories," and "An Accounting of Counting: Universalism, Particularism, and the Counting of Qualitative Data."