Semi-parametric segmentation of multiple series using a DP-Lasso strategy

We consider a semi-parametric approach to perform the joint segmentation of multiple series sharing a common functional part. We propose an iterative procedure based on Dynamic Programming for the segmentation part and Lasso estimators for the functional part. Our Lasso procedure, based on the dictionary approach, allows us to both estimate smooth functions and functions with local irregularity, which permits more flexibility than previous proposed methods. This yields to a better estimation of the functional part and improvements in the segmentation. The performance of our method is assessed using simulated data and real data from agriculture and geodetic studies. Our estimation procedure results to be a reliable tool to detect changes and to obtain an interpretable estimation of the functional part of the model in terms of known functions.     

Fast robust feature screening for ultrahigh-dimensional varying coefficient models

In this paper, we propose a new partial correlation, the so-called composite quantile partial correlation, to measure the relationship of two variables given other variables. We further use this correlation to screen variables in ultrahigh-dimensional varying coefficient models. Our proposed method is fast and robust against outliers and can be efficiently employed in both single index variable and multiple index variable varying coefficient models. Numerical results indicate the preference of our proposed method.     

Joint GEEs for multivariate correlated data with incomplete binary outcomes

This study considers a fully-parametric but uncongenial multiple imputation (MI) inference to jointly analyze incomplete binary response variables observed in a correlated data settings. Multiple imputation model is specified as a fully-parametric model based on a multivariate extension of mixed-effects models. Dichotomized imputed datasets are then analyzed using joint GEE models where covariates are associated with the marginal mean of responses with response-specific regression coefficients and a Kronecker product is accommodated for cluster-specific correlation structure for a given response variable and correlation structure between multiple response variables. The validity of the proposed MI-based JGEE (MI-JGEE) approach is assessed through a Monte Carlo simulation study under different scenarios. The simulation results, which are evaluated in terms of bias, mean-squared error, and coverage rate, show that MI-JGEE has promising inferential properties even when the underlying multiple imputation is misspecified. Finally, Adolescent Alcohol Prevention Trial data are used for illustration.     

Linearity,symmetry, and equidistance in semantic differential scales for measuring images of self and images of others

ABSTRACT

Violations of linearity, symmetry, and equidistance of scale points in semantic differential scales may be due to respondents failing to figure out antonyms, to a positivity bias, or to respondents curtailing their reading the options. Multiple correspondence analysis on data provided by a randomized between-subjects experiment (split-ballot), using a web survey of 537 German residents, shows that bipolar semantic differential scales allow for linear measurement and conceal no positivity bias, and that using not suitable adjective pairs in semantic differential scales destroys symmetry.     

Towards a sociology of risk work: A narrative review and synthesis

In this article, we define the concept of “risk work,” which aims to make visible working practices to assess or manage risk, in order to subject these practices to sociological critique. This article reviews and synthesizes existing published literature to identify components of risk work: (a) translating risk into different contexts, (b) minimizing risks in practice, and (c) caring in the context of risk. We argue that these three components of risk work raise important tensions for workers that have been inadequately explored in the literature to date. We propose that future research should additionally focus on practitioner subjectivity and identity in risk work. In addition, we argue that comparative research—across type of risk and different contexts—and methodological and theoretical diversity would enhance this emerging field of research.     

“I'm Not Supporting His Kids”: Nonresident Fathers' Contributions Given Mothers' New Fertility

The authors examined whether nonresident fathers provide informal support to their children and whether support stops if their ex‐partner goes on to have a child with a new man. A logistic regression analysis of longitudinal survey and administrative data for 434 women who received welfare in Wisconsin showed that fathers are less likely to provide informal support when their ex‐partner has a child with a new partner. Alternative models that control for unobserved characteristics suggest somewhat different results, providing stronger evidence of declines in support that can be shared across family members than in support that can be directed to a particular child.     

A Qualitative Study of Middle Eastern/Arab American Sexual Minority Identity Development

The development of one's sexual minority identity is often stunted by a heterosexist society. For individuals with multiple minority oppressions, this process becomes even more complicated. As such, there has been a call among researchers for more empirical research on the experiences of lesbian, gay, bisexual (LGB) individuals from racial/ethnic minority groups. This study uses qualitative methods to fill gaps in the literature related to identity development among same-gender attracted Middle Eastern/Arab individuals living in the United States. From 12 interviews, 13 themes associated with intersectionality, race/ethnicity, sexual identity development, discrimination, stigma, oppression, and invisibility. Themes, subthemes, and their implications are discussed.     

Person-oriented research ethics: integrating relational and everyday ethics in research

Research ethics is often understood by researchers primarily through the regulatory framework reflected in the research ethics review process. This regulatory understanding does not encompass the range of ethical considerations in research, notably those associated with the relational and everyday aspects of human subject research. In order to support researchers in their effort to adopt a broader lens, this article presents a “person-oriented research ethics” approach. Five practical guideposts of person-oriented research ethics are identified, as follows: (1) respect for holistic personhood; (2) acknowledgement of lived world; (3) individualization; (4) focus on researcher-participant relationships; and (5) empowerment in decision-making. These guideposts are defined and illustrated with respect to different aspects of the research process (e.g., research design, recruitment, data collection). The person-oriented research ethics approach provides a toolkit to individual researchers, research groups, and research institutions in both biomedical and social science research wishing to expand their commitment to ethics in research.     

现代思想政治教育价值的“双主体”审视

思想政治教育是一项有目的的价值活动,在此价值关系中,教育者和受教育者在思想政治教育过程中是两个实体,即“双主体”..二者都具有价值关系中的主体性.在思想政治教育活动中,教育者和受教育者的主体性是同生共建、互动共进的有机统一.思想政治教育价值的个体与社会的二维价值的统一是“双主体”思想政治教育的价值追求.同时满足“个体需要”和”社会需要”的二维价值,才是思想政治教育的价值所在.     

论道德的供求关系

如同经济学的供求关系一样,社会道德水平的状况与道德的有效供给之间有着内在的关联.道德的多元化特征与社会利益的多元化需求是一致的,多元化的利益需求引发多元化的道德需求,缺乏有效的道德供给,特别是缺乏有效的主流道德供给,是道德危机产生的原因.而主流道德的有效供给取决于社会当前及未来的政治、经济走向和社会文化底蕴,以及宣传教育等等手段.