Identifying Social Indicators for Sustainability Assessment of CCU Technologies: A Modified Multi-criteria Decision Making

Social Indicators Research - This paper analyses the trend and changes in Sri Lanka’s multidimensional poverty before the ethnic war in 2007, the transition through 2009 and after the war in...     

Hypothesis testing via a penalized-likelihood approach

It is illustrated in this paper that hypothesis testing procedures can be derived based on the penalized likelihood approach. Based on this point of view, many traditional hypothesis tests, including the two-sample mean test, score test, and Hotelling’s $T^2$ test are revisited under the penalized likelihood framework. Similar framework is also applicable to the empirical likelihood.     

Sole Physical Custody and Mother's Repartnering After Divorce

Research consistently finds that divorced mothers with full‐time residential children exhibit lower repartnering rates than mothers whose children also stay with their ex‐partners. Yet the selectivity of mothers who take up sole physical custody could have biased the estimations. Using data from the Divorce‐in‐Flanders study (N = 959), the authors model mothers' heterogeneity in the uptaking of sole physical custody as a factor influencing repartnering. They find that failure to account for the endogeneity of sole physical custody leads to a large underestimation of its effect on repartnering. Accounting for its endogeneity, sole physical custody reduced the mother's repartnering rate by 63%, whereas this was just 33% according to the naïve estimate. The results suggest that mothers with full‐time residential children are disproportionally selected among those who have better chances of repartnering but that sole physical custody itself acts as an important impediment to stepfamily formation following divorce.     

Testing parametric models in linear‐directional regression

This paper presents a goodness‐of‐fit test for parametric regression models with scalar response and directional predictor, that is, a vector on a sphere of arbitrary dimension. The testing procedure is based on the weighted squared distance between a smooth and a parametric regression estimator, where the smooth regression estimator is obtained by a projected local approach. Asymptotic behaviour of the test statistic under the null hypothesis and local alternatives is provided, jointly with a consistent bootstrap algorithm for application in practice. A simulation study illustrates the performance of the test in finite samples. The procedure is applied to test a linear model in text mining.     

Semiparametric Estimation of Risk–Return Relationships

This article proposes semiparametric generalized least-squares estimation of parametric restrictions between the conditional mean and the conditional variance of excess returns given a set of parametric factors. A distinctive feature of our estimator is that it does not require a fully parametric model for the conditional mean and variance. We establish consistency and asymptotic normality of the estimates. The theory is nonstandard due to the presence of estimated factors. We provide sufficient conditions for the estimated factors not to have an impact in the asymptotic standard error of estimators. A simulation study investigates the finite sample performance of the estimates. Finally, an application to the CRSP value-weighted excess returns highlights the merits of our approach. In contrast to most previous studies using nonparametric estimates, we find a positive and significant price of risk in our semiparametric setting.     

The challenges of evaluating dose response in flexible‐dose trials using marginal structural models

Assessing dose response from flexible‐dose clinical trials is problematic. The true dose effect may be obscured and even reversed in observed data because dose is related to both previous and subsequent outcomes. To remove selection bias, we propose marginal structural models, inverse probability of treatment‐weighting (IPTW) methodology. Potential clinical outcomes are compared across dose groups using a marginal structural model (MSM) based on a weighted pooled repeated measures analysis (generalized estimating equations with robust estimates of standard errors), with dose effect represented by current dose and recent dose history, and weights estimated from the data (via logistic regression) and determined as products of (i) inverse probability of receiving dose assignments that were actually received and (ii) inverse probability of remaining on treatment by this time. In simulations, this method led to almost unbiased estimates of true dose effect under various scenarios. Results were compared with those obtained by unweighted analyses and by weighted analyses under various model specifications. The simulation showed that the IPTW MSM methodology is highly sensitive to model misspecification even when weights are known. Practitioners applying MSM should be cautious about the challenges of implementing MSM with real clinical data. Clinical trial data are used to illustrate the methodology. Copyright © 2012 John Wiley & Sons, Ltd.     

Toward Understanding the Child's Experience in the Process of Parentification: Young Adults' Reflections on Growing up With a Depressed Parent

This article reports on a qualitative study with 21 young adults who grew up with a depressed parent. We examined how young adults make sense of their childhood experiences of parental depression and how their retrospective reflections help us to understand the experiences of children and the processes of parentification. Participants recounted that their childhood consisted mainly of actions in the service of family well‐being. At that time, they reflected on their own experiences only rarely. In adolescence, there was an evolution toward a greater consideration for oneself and a repositioning within the family. In the discussion, we explore the therapeutic implications of this study—and in particular—the meaningfulness of silence in the family process of parentification.     

Beliefs and Behaviors of Pregnant Women with Addictions Awaiting Treatment Initiation

Substance use during pregnancy poses clear risks to children’s healthy development. However, women with addictions face unique barriers to accessing substance abuse treatment and often delay or avoid treatment seeking. The objective of this study was to examine women’s beliefs about the impact of use on the developing baby and to examine the protective behaviors that women with addictions engage in during the period of time between when they first find out they are pregnant and when they begin substance abuse treatment. Semi-structured interviews were conducted with 15 women who were either pregnant or postpartum and who had used illicit substances during pregnancy. All participants were currently receiving inpatient substance abuse treatment services to address their addiction and were asked to retrospectively report on their experiences. Interviews were transcribed, imported into a qualitative data analysis software, and iteratively coded for themes. Women reported being concerned about the impact of substance use on the developing baby, in particular, about the physical and long-term developmental consequences of prenatal exposure. Given these concerns, women described trying to protect the baby from harm on their own, outside of accessing traditional treatment services. They sought information anonymously, increased their engagement in health-promoting behaviors, and decreased their use of alcohol and other drugs. The results suggest that women who use alcohol and other drugs during pregnancy are often motivated to protect their baby from harm and are engaging in harm reduction behaviors prior to accessing treatment services.     

A Life-Span Approach to Children-In-Law’s Perceptions of Parent-In-Law Communication

Relationships between children-in-law (CIL) and parents-in-law (PIL) can be enduring sources of delight or distress that influence the quality of spousal relationships and grandparent-grandchild ties. Little research, however, examines CIL perceptions of in-law relationships (ILRs) beyond the newlywed years. Drawing on the life course perspective and socioemotional selectivity theory, we hypothesized that marital duration would predict how frequently CIL encountered positive and negative PIL behaviors, and account for the degree to which these behaviors were appraised favorably or as problematic. A total of 179 individuals rated how often a target PIL provided informational support, instrumental support, emotional support, and companionship, and how frequently the target PIL was intrusive, rejecting, insensitive, and failed to help. The frequency with which both positive and negative in-law behaviors were experienced was predicted by marital duration (but not CIL age or PIL age), although quadratic and cubic marital duration terms were better predictors than the linear term.     

Toddlers' Social‐emotional Competence in the Contexts of Maternal Emotion Socialization and Contingent Responsiveness in a Low‐income Sample

Early social‐emotional development occurs in the context of parenting, particularly via processes such as maternal emotion socialization and parent–child interactions. Results from structural equation modeling indicated that maternal contingent responsiveness partially mediated the relationship between maternal emotion socialization of toddlers (N = 119, ages 12–36 months) and toddlers' social‐emotional competence. Effect size was strongest for the direct path between maternal emotion socialization and toddler social–emotional competence. Toddler age and maternal demographic risk status (covariates) predicted toddler competence. Study results extend the previous literature on early competencies by focusing on toddlers rather than preschool‐aged children and by employing a contextual model in which both low‐income mothers' emotion socialization and their contingent responsiveness predicted toddlers' competencies.