Goodness of fit for the inverse Gaussian distribution

For testing the fit of the inverse Gaussian distribution with unknown parameters, the empirical distribution-function statistic A² is studied. Two procedures are followed in constructing the test statistic; they yield the same asymptotic distribution. In the first procedure the parameters in the distribution function are directly estimated, and in the second the distribution function is estimated by its Rao-Blackwell distribution estimator. A table is given for the asymptotic critical points of A². These are shown to depend only on the ratio of the unknown parameters. An analysis is provided of the effect of estimating the ratio to enter the table for A². This analysis enables the proposal of the complete operating procedure, which is sustained by a Monte Carlo study.     

Applying Image Norms Across Super's Career Development Stages

D. E. Super's (1957) theory of career development has long been of interest to careers researchers (M. Savickas, 1994; S. C. Whiston & B. K. Brecheisen, 2002). Its insightful illustration of career stages has made it widely applied by careers practitioners. Image norms may influence the career decisions and developmental tasks inherent in each stage. An image norm is the belief that individuals must present or possess a certain image, consistent with occupational, organizational, or industry standards, in order to achieve career success. Understanding the effects of image norms across D. E. Super's (1957) career stages has important implications for individuals, organizations, and career counseling professionals.     

Practice Wisdom Meets Evidence-Based Practice: Building Capacity in Agencies

Agencies have a need to develop and evaluate therapeutic practices that show efficacy in treating specific client problems. University-agency collaborations combine the wisdom of practitioners with research skills that appraise evidence of efficacy, operationalize concepts and skills, and identify and implement evaluation methods. This article discusses the processes involved as practitioners and administrators collaborated with university researchers to transform a well-established mutual aid (MA) model of group work into an evidence-based model that showed efficacy in preventing substance use with adolescent populations. A case study will include the phases of the collaboration including relationship building, reviews of similar programs, identification of appropriate evaluation measures, development of a curricular-based manual and analysis and interpretation of the data for use in applying for funding. Implications for agency practice that respond to current demands in social services will be discussed.     

Job-Related Well-Being of Immigrants

Social Indicators Research - Considerable literature exists on the acculturation and adaptation of immigrants. For the most part, studies looked at their psychological and social adaptation to the...     

Displaying Gender: Transgender People's Strategies in Everyday Life

Drawing upon data from in‐depth interviews with transgender people in Portugal and in the United Kingdom, this article critically reflects upon different ways through which transgender people recreate their gender displays, particularly in terms of gender embodiment and aesthetics, in order to navigate their everyday lives. I focus on four strategies of articulating gender displays with one's own gender subjectivities: “blending in,” “masking,” “naturalizing,” and “subverting.” These strategies are not exclusive of one another. They are used differently throughout the participants' own lives in accordance to the social contexts they were in.     

Calibration estimation in dual-frame surveys

Survey statisticians make use of auxiliary information to improve estimates. One important example is calibration estimation, which constructs new weights that match benchmark constraints on auxiliary variables while remaining “close” to the design weights. Multiple-frame surveys are increasingly used by statistical agencies and private organizations to reduce sampling costs and/or avoid frame undercoverage errors. Several ways of combining estimates derived from such frames have been proposed elsewhere; in this paper, we extend the calibration paradigm, previously used for single-frame surveys, to calculate the total value of a variable of interest in a dual-frame survey. Calibration is a general tool that allows to include auxiliary information from two frames. It also incorporates, as a special case, certain dual-frame estimators that have been proposed previously. The theoretical properties of our class of estimators are derived and discussed, and simulation studies conducted to compare the efficiency of the procedure, using different sets of auxiliary variables. Finally, the proposed methodology is applied to real data obtained from the Barometer of Culture of Andalusia survey.     

Large,But Adaptable? A Successful Population Policy and Its Long Term Effects

A restrictive population policy led to almost doubling the number of newborns from one year to another in Romania in the 1960s. Twenty years later, this large generation (of women) enters a marriage market with few eligible older mates, in a society where marriage is a must. In this article, I analyze this social experiment within the broader frame of the marriage squeeze/two sex models. Using various data from censuses and surveys, I argue that the marriage market is flexible even when is confronted with disproportionately large cohorts. If the social pressure toward marriage is strong, the marriage rates do not necessarily fall, but the mating age patterns change.

Variations in Citizenship Profiling by Generational Status: Individual and Neighborhood Characteristics of Latina/os Questioned by Law Enforcement About Their Legal Status

Although racial profiling is widely studied, the related issue of citizenship profiling by law enforcement has received little scholarly attention. In this study we begin to address citizenship profiling, which may be highly salient in light of the increasing policing of immigration in the United States through Secure Communities and other federal, state and local efforts to localize the enforcement of immigration laws. Using a sample of 563 Latina/o adults residing in 46 neighborhoods in El Paso County, Texas, USA, we assess the impacts of a variety of individual and neighborhood characteristics on the likelihood of being questioned about citizenship status by law enforcement. Results using hierarchical generalized linear models (HGLMs) show that, at the individual-level, first-generation Latina/o immigrants and second-Latina/os are more likely to be questioned about citizenship status than third- and later-generation Latina/os. At the neighborhood-level, living in a neighborhood with a mid-level of Latina/o immigrant characteristics increased the probability of being questioned. The implications of these findings for citizenship profiling are discussed.