A characterization of the geometric distribution

We show that for a simple random sample from a discrete distribution on the positive integers, the regression ofX _(2∶n) onX _(1∶n) is linear with unit slope if and only if the distribution is geometric.     

Confidence intervals for variance component ratios in unbalanced linear mixed models

Methods for constructing confidence intervals for variance component ratios in general unbalanced mixed models are developed. The methods are based on inverting the distribution of the signed root of the log-likelihood ratio statistic constructed from either the restricted maximum likelihood or the full likelihood. As this distribution is intractable, the inversion is rather based on using a saddlepoint approximation to its distribution. Apart from Wald's exact method, the resulting intervals are unrivalled in terms of achieving accuracy in overall coverage, underage, and overage. Issues related to the proper “reference set” with which to judge the coverage as well as issues connected to variance ratios being nonnegative with lower bound 0 are addressed. Applications include an unbalanced nested design and an unbalanced crossed design.     

Respectable Femininity and Career Agency: Exploring Paradoxical Imperatives

This paper places respectable femininity at the very centre of career enactment. In the accounts of 24 Sri Lankan women, notions of being a ‘respectable’ woman recurred as respondents described how important it was to adhere to the powerful behavioural norms for women in their organizations and society. However while such respectability was vital for women's career progression, it ultimately restricted their agency and conflicted with other requirements for advancement. Based on our empirical findings, we propose that being a respectable woman was experienced as paradox, where at times it was seen as impossible to be both a good woman and a successful careerist. We highlight the implications of our findings for women's careers in South Asia and more widely.     

Explaining the Immigrant Health Advantage: Self-selection and Protection in Health-Related Factors Among Five Major National-Origin Immigrant Groups in the United States

Despite being newcomers, immigrants often exhibit better health relative to native-born populations in industrialized societies. We extend prior efforts to identify whether self-selection and/or protection explain this advantage. We examine migrant height and smoking levels just prior to immigration to test for self-selection; and we analyze smoking behavior since immigration, controlling for self-selection, to assess protection. We study individuals aged 20–49 from five major national origins: India, China, the Philippines, Mexico, and the Dominican Republic. To assess self-selection, we compare migrants, interviewed in the National Health and Interview Surveys (NHIS), with nonmigrant peers in sending nations, interviewed in the World Health Surveys. To test for protection, we contrast migrants’ changes in smoking since immigration with two counterfactuals: (1) rates that immigrants would have exhibited had they adopted the behavior of U.S.-born non-Hispanic whites in the NHIS (full “assimilation”); and (2) rates that migrants would have had if they had adopted the rates of nonmigrants in sending countries (no-migration scenario). We find statistically significant and substantial self-selection, particularly among men from both higher-skilled (Indians and Filipinos in height, Chinese in smoking) and lower-skilled (Mexican) undocumented pools. We also find significant and substantial protection in smoking among immigrant groups with stronger relative social capital (Mexicans and Dominicans).     

Revealing stereotype threat effects and women’s maths performance: the moderating role of mathematical anxiety / Análisis de los efectos de la amenaza del estereotipo y el rendimiento matemático de las mujeres: el rol moderador de la ansiedad matemática

Stereotype threat is a phenomenon by which members of a stereotyped group have their performance impaired when their group identity is made salient. Previous research has found that telling women about stereotype threat prevents impaired performance in mathematical tasks. Moreover, the effect of stereotype threat seems to be moderated by mathematical anxiety. The present work seeks (1) to test the effect of stereotype threat on women’s maths performance taking into account a previous maths score, (2) to replicate in a Spanish sample the protective effect of teaching intervention and (3) to test the moderator role of maths anxiety in the relationship between stereotype threat and impaired performance. Participants (110 undergraduate students) were randomly assigned to either stereotype threat or teaching intervention condition and the decrement in their performance was used as a dependent variable. Stereotype threat only impairs the performance of women with higher maths anxiety scores, and teaching intervention is effective to ameliorate this decrement in performance. We recommend the development of programmes that teach girls about stereotype threat and reduce mathematical anxiety.     

Preserving the unpreservable: docile and unruly objects at MoMA

The aim of this article is to theorize how materials can play an active, constitutive, and causally effective role in the production and sustenance of cultural forms and meanings. It does so through an empirical exploration of the Museum of Modern Art of New York (MoMA). The article describes the museum as an “objectification machine” that endeavors to transform and to stabilize artworks as meaningful “objects” that can be exhibited, classified, and circulated. The article explains how the extent to which the museum succeeds in this process of stabilization ultimately depends on the material properties of artworks and, more specially, on whether these behave as “docile” or “unruly” objects. Drawing on different empirical examples, the article explores how docile and unruly objects shape organizational dynamics within the museum and, through them, the wider processes of institutional and cultural reproduction. The article uses this empirical example to highlight the importance of developing a new “material sensibility” that restores heuristic dignity to the material within cultural sociology.     

Human Resource Management as a Field of Research*

Drawing on Snow and Thomas's (Journal of Management Studies, 31 (1994), pp. 457–480) matrix, we empirically explore the state of the art in human resource management (HRM) research. The data were obtained through a questionnaire directed to HRM scholars all over the world, in which they were asked about their particular theoretical and methodological approaches. The evidence obtained shows clearly that HRM scholars are progressively abandoning the universalistic perspective and completing their models with contingent and contextual variables. Trying to classify the different contributions proposed and discuss their integration, HRM is described as a field of research with three dimensions: subfunctional, strategic and international. The paper concludes that to provide reliable explanations and valid responses to professional problems, HRM research must advance simultaneously in these three dimensions. As follows from our analysis, there are certain HR issues that still need to be addressed: (1) the strategic use of HR practices, (2) their international applicability, (3) global HR strategies and (4) the synergic integration of HR activities. Nevertheless, to advance our knowledge in these issues, it seems necessary to integrate previous research in subfunctional, strategic and international aspects of HRM.     

Evaluating Lightning-Caused Fire Occurrence Using Spatial Generalized Additive Models: A Case Study in Central Spain

It is widely accepted that the relationship between lightning wildfire occurrence and its influencing factors vary depending on the spatial scale of analysis, making the development of models at the regional scale advisable. In this study, we analyze the effects of different biophysical variables and lightning characteristics on lightning-caused forest wildfires in Castilla y León region (Central Spain). The presence/absence of at least one lightning-caused fire in any 4 × 4-km grid cell was used as a dependent variable and vegetation type and structure, terrain, climate, and lightning characteristics were used as possible covariates. Five prediction methods were compared: a generalized linear model (GLM), a random forest model (RFM), a generalized additive model (GAM), a GAM that includes a spatial trend function (GAMs) and a spatial autoregressive model (AUREG). A GAMs with just one covariate, apart from longitude and latitude for each observation included as a combined effect, was considered the most appropriate model in terms of both predictive ability and simplicity. According to our results, the probability of a forest being affected by a lightning-caused fire is positively and nonlinearly associated with the percentage of coniferous woodlands in the landscape, suggesting that occurrence is more closely associated with vegetation type than with topography, climate, or lightning characteristics. The selected GAMs is intended to inform the Regional Government of Castilla y León (the fire and fuel agency in the region) regarding identification of areas at greatest risk so it can design long-term forest fuel and fire management strategies.