Quantitative Assessment of Thriving

We review methodological issues related to the quantitative assessment of thriving with interviews and paper-and-pencil scales. We emphasize two new paper-and-pencil measures of thriving, the Stress-Related Growth Scale (SRGS; Park, Cohen, & Murch, 1996) and the Posttraumatic Growth Inventory (PTGI; Tedeschi & Calhoun, 1996). These scales are designed to assess perceived benefits that result from a specific stressor. Research with the SRGS suggests a unidimensional structure of thriving, whereas research with the PTGI suggests a multidimensional structure. Two possible reasons for this inconsistent finding concern differences in the method of participant selection and in the recall period for the reporting of stressful events. In addition, we present a number of strategies to validate self-report measures of thriving, including corroboration from significant others and the use of control groups. We conclude with a brief discussion of the assessment of thriving at the group and community levels.     

Party politics: the political impact of the first ladies’ social role

All first ladies have entertained socially while in the White House. Indeed, the role is so much a part of the office that hosting is expected of the presidential spouses. This article considers the political impact of social hosting, a function that has often had significant consequences on the presidency and has allowed first ladies to influence political affairs.     

Gender and Migration in the Central Valleys of Oaxaca

In this paper, we examine the gendered nature of international and internal migration that originates in the central valleys of Oaxaca, Mexico. Our goals are to define migration patterns and outcomes for Oaxacan women from the central valleys region and note the differences that mark migrant men and women. We use ethnographic data from anthropological research in 12 of Oaxaca's central valley communities to argue that local concepts of what defines correct behaviour (for both men and women) are critical to the outcomes and the differences that exist in the practices of migrant men and women.     

Children and anti-poverty strategies

This paper discusses how far local authority anti-poverty strategies consider the impact of poverty on children. After outlining some findings on child poverty and linking these with current debates on children's rights, it examines a selection of anti-poverty strategies. Although examples of good practice are highlighted, the paper concludes that in general issues affecting children living in poverty are insufficiently addressed and that anti-poverty strategies should be refocused to take account of the needs and rights of children.     

A reassessment of the sociability of long-term skid row residents: A social network approach

Despite more than one hundred and fifty empirical studies completed on the subject of skid row, no issue remains so completely muddled than that of the sociability of skid row men. Utilizing network analysis techniques developed in previous work with inner-city populations, the authors interviewed 48 elderly residents of the Bowery. The data dispelled the notion that skid rowers are completely isolated, incapable of intimacy and complex social formation, and unable to enlist the support of their compeers in response to deteriorating health. Nonetheless, as contrasted with other urban populations, they had markedly constricted social worlds. A reinterpretation of the literature is proffered based on these findings.     

Effective directed tests for models with ordered categorical data

This paper offers a new method for testing one‐sided hypotheses in discrete multivariate data models. One‐sided alternatives mean that there are restrictions on the multidimensional parameter space. The focus is on models dealing with ordered categorical data. In particular, applications are concerned with R×C contingency tables. The method has advantages over other general approaches. All tests are exact in the sense that no large sample theory or large sample distribution theory is required. Testing is unconditional although its execution is done conditionally, section by section, where a section is determined by marginal totals. This eliminates any potential nuisance parameter issues. The power of the tests is more robust than the power of the typical linear tests often recommended. Furthermore, computer programs are available to carry out the tests efficiently regardless of the sample sizes or the order of the contingency tables. Both censored data and uncensored data models are discussed.     

A comparison of the independent-samples t-test and the paired-samples t-test when the observations are nonnegatively correlated pairs

An account of the behavior of the independent-samples t-test when applied to homoschedastic bivariate normal data is presented, and a comparison is made with the paired-samples t-test. Since the significance level is not violated when applying the independent-samples t-test to data which consist of positively correlated pairs and since the estimate of the variance is based on a larger number of ‘degrees of freedom’, the results suggest that when the sample size is small, one should not worry much about the possible existence of weak positive correlation. One may do better, powerwise, to ignore such correlation and use the independent-samples t-test, as though the samples were independent.