Daily Dynamics of Adolescent Mood and Identity

Important linkages between daily mood and identity formation have been theorized, but have not been empirically tested as of yet. This study provided a first examination of these linkages within individuals (N = 392; 55.1% boys; M_age at T1 = 13.24, SD = 0.44) across 15 series of 5 days distributed over 5 years. Results revealed negative within‐time associations of educational and relational commitment with negative mood. Negative mood was positively associated with educational in‐depth exploration and educational and interpersonal reconsideration. Additionally, there were some cross‐lagged effects suggesting that identity and mood mutually affect one another across days. These results contribute to the growing knowledge on how identity unfolds in everyday life by revealing important associations with daily mood.     

Antipoverty Effects of Various Social Transfers and Income Taxes Across Countries

Social Indicators Research - Most welfare states design their tax/benefit-system to combat income poverty. This paper analyzes the effectiveness of social transfers and income taxes in alleviating...     

In Search of a Future for Large-Scale Care Homes in Flanders

Housing for older people in Flanders evolves toward small-scale facilities and better quality of life. Ageing population strains the means to achieve this to the limit. The authors investigate whether and how Flemish large-scale facilities can adapt to meet contemporary and future requirements of housing for older people. By analyzing current tendencies, they depict what this housing should look like, both now and in the future. They then investigate how an existing large-scale care home could fit this picture by using design as a mode of knowledge production. They propose to redesign the site such that its actual evolution would be thoroughly redirected. Beyond the facility at issue, the study shows how Flemish large-scale facilities could develop to keep playing a role in the future. They should timely adapt their size with qualities of small-scale housing schemes, and integrate in the neighborhood.     

The effect of personalization on response rates and data quality in web surveys

Personalizing correspondence has often shown to significantly increase survey response rates in mail surveys. This study experimentally tests whether personalization of email invitations acts correspondingly to web survey response rates. Also, it is investigated whether personalization influences data quality. The results of the study, using a large student sample, show that personalization significantly increases the web survey response rate by 8.6 percentage points. The data quality does not appear to be affected in any major way by personalizing the email invitations. However, the analyses do show that respondents of the personalization condition tend to respond with more social desirability bias to sensitive questions. Therefore, it is concluded that personalization has positive effects on the survey response rate, but one should carefully consider whether or not to personalize when a survey on sensitive topics is conducted.     

再访中国西南部的纳西族

当中国社会学家在20世纪50年代后期来到永宁盆地--这个中国西南部偏僻山区的角落时,当地的纳西族或者摩梭人并不知道等待他们的是什么.经过了一次大规模的社会学调查,还有其后60年代初期更多的田野实地调查,研究者们发现纳西族的亲属关系是母系家族体系,他们不实行制度化的婚姻.这在中国的社会科学家中引起了很大轰动,因为它似乎强化了19世纪刘易斯·亨利·摩尔根提出的社会进化理论.     

Identity Styles and Interpersonal Behavior in Emerging Adulthood: The Intervening Role of Empathy

This study examined the intervening role of empathy in the relations between identity styles (i.e., information‐oriented, normative, and diffuse‐avoidant styles), and inter‐personal behaviors (i.e., prosocial behavior, self‐ and other‐oriented helping, and physical and relational aggression). In a sample of 341 emerging adults, it was found that an information‐oriented style relates to a more adaptive pattern of interpersonal behaviors whereas a normative or a diffuse‐avoidant identity style relate to a more maladaptive pattern of interpersonal behaviors. Empathy played an intervening role between the information‐oriented style and interpersonal behavior, and between the diffuse‐avoidant style and interpersonal behavior. However, empathy did not intervene between the normative style and interpersonal behavior. Implications for future research are discussed.     

Estimating precision,repeatability, and reproducibility from Gaussian and non- Gaussian data: a mixed models approach

Quality control relies heavily on the use of formal assessment metrics. In this paper, for the context of veterinary epidemiology, we review the main proposals, precision, repeatability, reproducibility, and intermediate precision, in agreement with ISO (international Organization for Standardization) practice, generalize these by placing them within the linear mixed model framework, which we then extend to the generalized linear mixed model setting, so that both Gaussian as well as non-Gaussian data can be employed. Similarities and differences are discussed between the classical ANOVA (analysis of variance) approach and the proposed mixed model settings, on the one hand, and between the Gaussian and non-Gaussian cases, on the other hand. The new proposals are applied to five studies in three diseases: Aujeszky's disease, enzootic bovine leucosis (EBL) and bovine brucellosis. The mixed-models proposals are also discussed in the light of their computational requirements.     

Estimating herd-specific force of infection by using random-effects models for clustered binary data and monotone fractional polynomials

Summary.  In veterinary epidemiology, we are often confronted with hierarchical or clustered data. Typically animals are grouped within herds, and consequently we cannot ignore the possibility of animals within herds being more alike than between herds. Based on a serological survey of bovine herpes virus type 1 in cattle, we describe a method for the estimation of herd-specific rates at which susceptible animals acquire the infection at different ages. In contrast with the population-averaged force of infection, this method allows us to model the herd-specific force of infection, allowing investigation of the variability between herds. A random-effects approach is used to account for the correlation in the data, allowing us to study both population-averaged and herd-specific force of infection. In contrast, generalized estimating equations can be used when interest is only in the population-averaged force of infection. Further, a flexible predictor model is needed to describe the dependence of covariates appropriately. Fractional polynomials as proposed by Royston and Altman offer such flexibility. However, the flexibility of this model should be restricted, since only positive forces of infection have a meaningful interpretation.     

An analysis of pulsation periods of long period variable stars

Summary.  We report the results of a period change analysis of time series observations for 378 pulsating variable stars. The null hypothesis of no trend in expected periods is tested for each of the stars. The tests are non-parametric in that potential trends are estimated by local linear smoothers. Our testing methodology has some novel features. First, the null distribution of a test statistic is defined to be the distribution that results in repeated sampling from a population of stars. This distribution is estimated by means of a bootstrap algorithm that resamples from the collection of 378 stars. Bootstrapping in this way obviates the problem that the conditional sampling distribution of a statistic, given a particular star, may depend on unknown parameters of that star. Another novel feature of our test statistics is that one-sided cross-validation is used to choose the smoothing parameters of the local linear estimators on which they are based. It is shown that doing so results in tests that are tremendously more powerful than analogous tests that are based on the usual version of cross-validation. The positive false discovery rate method of Storey is used to account for the fact that we simultaneously test 378 hypotheses. We ultimately find that 56 of the 378 stars have changes in mean pulsation period that are significant when controlling the positive false discovery rate at the 5% level.