“Why are you trying to destroy the last good thing men have?” Understanding resistance to women in combat jobs

This article argues that opposition to expansion of women's roles in the US military and peer armed forces, particularly into combat-related military occupational specialties, is based on defending a means of proving masculinity and preserving access to power. Research is based on policies of US, UK, and other NATO countries, public statements made by officials, academic articles, and interviews with current and former members of the US military. The article examines shifting definitions of combat, historical examples of American women’s military service, and common and persistent themes of resistance to women in combat roles. The article argues that resistance to women in combat roles is not only inconsistent with operational realities, but is both counterproductive to mission effectiveness, and may even put lives at risk. The article concludes that in an ever-shifting security environment requiring critical thinking, cross-cultural communication, and civil–military collaboration, rethinking gender roles may be advantageous.     

Simultaneous Analysis of Individual and Aggregate Responses in Psychometric Data Using Multilevel Modeling

Psychometric data on risk perceptions are often collected using the method developed by Slovic, Fischhoff, and Lichtenstein, where an array of risk issues are evaluated with respect to a number of risk characteristics, such as how dreadful, catastrophic or involuntary exposure to each risk is. The analysis of these data has often been carried out at an aggregate level, where mean scores for all respondents are compared between risk issues. However, this approach may conceal important variation between individuals, and individual analyses have also been performed for single risk issues. This paper presents a new methodological approach using a technique called multilevel modelling for analysing individual and aggregated responses simultaneously, to produce unconditional and unbiased results at both individual and aggregate levels of the data. Two examples are given using previously published data sets on risk perceptions collected by the authors, and results between the traditional and new approaches compared. The discussion focuses on the implications of and possibilities provided by the new methodology.     

The Role of Culture as Driver of Quality Management and Performance: Infrastructure Versus Core Quality Practices*

Increasingly, scholars and practitioners recognize the importance of understanding organizational culture when implementing operations management practices. This study investigates the relationships among organizational culture, infrastructure and core quality management practices, and manufacturing performance using two alternative models. Understanding these relationships is important because culture can provide insight into the context dependence of quality management practices and shed light on the mixed results of past studies concerning the link between quality management and performance. Analysis of manufacturing plants from six countries indicates that organizational culture has a stronger influence on infrastructure quality management practices than on core quality management practices, regardless of whether the plants are located in Eastern or Western countries. In addition, infrastructure quality management practices have a significant effect on manufacturing performance. These results contribute to the quality management literature by emphasizing the importance of accounting for culture when making decisions to implement quality management practices to achieve a performance advantage. Finally, we also contribute to the literature on the culture–performance linkage by finding support for a direct link between culture and manufacturing performance.     

Bayes linear computation: concepts,implementation and programs

We demonstrate how Bayes linear methods, based on partial prior specifications, bring us quickly to the heart of otherwise complex problems, giving us natural and systematic tools for evaluating our analyses which are not readily available in the usual Bayes formalism. We illustrate the approach using an example concerning problems of prediction in a large brewery. We describe the computer language [B/D] (an acronym for beliefs adjusted by data), which implements the approach. [B/D] incorporates a natural graphical representation of the analysis, providing a powerful way of thinking about the process of knowledge formulation and criticism which is also accessible to non-technical users.     

Interrelations between migration and fertility in Thailand

Based on special tabulations of 1960 census data on migration within Thailand, this analysis attempts to assess the role of migration in the urbanization process and the relation between migration and fertility. The importance of migration to urban growth is evidenced by the clearcut positive relationship between the percentage of persons classified as either lifetime or 5-year migrants and the urban character of their 1960 place of residence. Yet, the evidence also points to an increasing proportion of urban growth in recent decades attributable to natural increase. The specific relation between fertility and migration varies depending on the measure of migration used: Compared to nonmigrants in their place of destination, the fertility levels of lifetime migrants are not very different; but those of 5-year migrants are considerably lower. Regardless of migration status, however, fertility level is markedly lower for those living in urban places compared to those in rural places. This suggests the important role of both migration and urbanization in affecting fertility levels in Thailand.     

Urban-rural and educational differentials in marital status in China

Since 1950, laws aimed at delaying marriage have been 1 of the major means of slowing population growth in China, where marriage is nearly universal. Age at marriage has risen in recent decades, but not to the same extent in all localities. This article uses cross-tabulated data from China's 1982 census to assess the effects of urban-rural residence and educational level on the ages at which men and women have been marrying. The data also reveal the effects of residence and education on widowhood, divorce, and current marital status. As expected, exposure to development, indicated by urban residence and higher education, is associated with later marriage, but it also increases the likelihood of ever marrying, especially for men. Women's tendency to seek social mobility by marrying men from economically more developed areas results in bachelorhood for a substantial percentage of rural men, especially those who are illiterate.     

On a test of independence for contingency tables

Using the concept of distributional distance, a test statistic is proposed FOR the hypothesis of independence in multidimensional contingency tables. A Monte Carlo Study is done to empirically compare the power of the proposed test to the Pearson x² and the likelihood ratio test- Further, the nonnull distribution under various spike alternatives is tabulated     

Editor's Notes

Proceedings of the Third International Conference on Teaching Statistics Editor David Vere-Jones; assistants: Shelley Carlyle and Brian P. Dawkins. Published by the International Statistical Institute. Available from ISI Permanent Office, 428 Prinses Beatrixlaan, P.O. Box 950, 2270 AZ Voor-burg, The Netherlands. $38 (U.S.), including postage and handling. Reviewed by Elliot A. Tanis     

Designing for diversity: incorporating cultural competence in prevention programs for urban youth

Low-income urban youth of color frequently confront a wide variety of challenges and hardships that other young people never experience. The offering of prevention programs represents one strategy to help urban youth avoid the risks associated with substance abuse. In this chapter, an alternative program strategy is posited-one that places diversity with respect to culture, class, and environment at the center of prevention efforts. Such an approach, the authors argue, is more effective not only in appealing to the sensibilities of urban youth but also in altering their behavior.     

Variance partitioning in multilevel logistic models that exhibit overdispersion

Summary.  A common application of multilevel models is to apportion the variance in the response according to the different levels of the data. Whereas partitioning variances is straightforward in models with a continuous response variable with a normal error distribution at each level, the extension of this partitioning to models with binary responses or to proportions or counts is less obvious. We describe methodology due to Goldstein and co-workers for apportioning variance that is attributable to higher levels in multilevel binomial logistic models. This partitioning they referred to as the variance partition coefficient. We consider extending the variance partition coefficient concept to data sets when the response is a proportion and where the binomial assumption may not be appropriate owing to overdispersion in the response variable. Using the literacy data from the 1991 Indian census we estimate simple and complex variance partition coefficients at multiple levels of geography in models with significant overdispersion and thereby establish the relative importance of different geographic levels that influence educational disparities in India.