Connecting child care quality to child outcomes: drawing policy lessons from nonexperimental data

Effective early childhood intervention and child care policies should be based on an understanding of the effects of child care quality and type on child well-being. This article describes methods for securing unbiased estimates of these effects from nonexperimental data. It focuses on longitudinal studies like the one developed by the National Institute of Child Health and Human Development's Early Child Care Research Network. This article first describes bias problems that arise in analyses of nonexperimental data and then explains strategies for controlling for biases arising from parental selection of child care. Next, it comments on attrition in longitudinal studies and outlines some strategies for addressing possible attrition bias. Finally, it discusses the need to translate "effect sizes" derived from these studies into the kinds of cost and benefit information needed by policy makers.     

Social media and luxury: A systematic literature review

Luxury, historically an exclusive, rare and elitist phenomenon, is changing. This is predominantly driven by technological developments, particularly social media, and the rising level of consumer empowerment in the marketplace. A maturing stream of research has emerged assessing the effects of social media platforms on luxury brands, offerings and consumers. However, there has been no comprehensive analysis of this extant literature synthesizing the current state of knowledge and postulating future research directions. This paper addresses this gap by utilizing a systematic literature review approach. A total of 115 articles were collected and analysed and five core themes were identified, examining (1) luxury brand strategy, (2) luxury brand social media communications, (3) luxury consumer attitudes and perceptions, (4) engagement and (5) social media's influence on brand performance-related outcomes. These themes are comprehensively explored to understand the myriad impacts of social media on luxury businesses before conceptualizing the themes as a holistic framework explaining social media's role within luxury. The framework developed highlights the fragmented yet progressive nature of research on the confluence of social media and luxury, and signals fruitful avenues for further inquiry. It is proposed that scholarly attention is directed towards multiple lines of inquiry, including social media's role in luxury brand construction online, social media's role in facilitating ‘moments of luxury’, younger consumers’ luxury consumption, as well as the integration of both future innovative technological developments and novel social media platforms within luxury branding.     

Teaching Up: The Intersection of Impression Management and Controlling Images for Black,Cisgender, Women Faculty

This is a qualitative study of Black cisgender women's faculty experiences using an interactionist framework. Relying on in-depth interviews, we explore the experiences of eight Black, cisgender, women, sociology faculty across the United States in various tenure and non-tenure roles at different institutions (community college, teaching college, and research universities). Participants engaged in a variety of impression management techniques to overcome implicit biases and controlling images that shaped their students', and their colleagues', perceptions. While women in our study had agency, they were limited in the ways they could present themselves, a phenomenon Deil-Amen and Tevis describe as circumscribed agency. Once women in our study had achieved seniority they were able to express themselves in culturally authentic ways. Theoretically, this study shows how interpretive sociology can overcome its theoretical limitations in dealing with race, and shows that the interactionist perspective is actually well suited towards discussing this matters in a meaningful way. We conclude by advocating for greater awareness surrounding the lived experience of Black, women faculty, especially by those who mentor and evaluate them.     

Defining estimands for efficacy assessment in single arm phase 1b or phase 2 clinical trials in oncology early development

The addendum of the ICH E9 guideline on the statistical principles for clinical trials introduced the estimand framework. The framework is designed to strengthen the dialog between different stakeholders, to introduce greater clarity in the clinical trial objectives and to provide alignment between the estimand and statistical analysis. Estimand framework related publications thus far have mainly focused on randomized clinical trials. The intention of the Early Development Estimand Nexus (EDEN), a task force of the cross-industry Oncology Estimand Working Group ( www.oncoestimand.org ), is to apply it to single arms Phase 1b or Phase 2 trials designed to detect a treatment-related efficacy signal, typically measured by objective response rate. Key recommendations regarding the estimand attributes include that in a single arm early clinical trial, the treatment attribute should start when the first dose is received by the participant. Focusing on the estimation of an absolute effect, the population-level summary measure should reflect only the property used for the estimation. Another major component introduced in the ICH E9 addendum is the definition of intercurrent events and the associated possible ways to handle them. Different strategies reflect different clinical questions of interest that can be answered based on the journeys an individual subject can take during a trial. We provide detailed strategy recommendations for intercurrent events typically seen in early-stage oncology. We highlight where implicit assumptions should be made transparent as whenever follow-up is suspended, a while-on-treatment strategy is implied.     

Individual differences and dyadic processes in conversations with peers in middle childhood

The goal of the current study was to investigate the contribution of both trait-like individual differences and dyadic processes to the content of children's conversations. Fifty-two groups typically consisting of four same-sex unfamiliar nine-year-old children (N = 202) interacted in all possible dyads, resulting in six dyads per group. Each dyad completed a 5-min frustration task and a 5-min planning task. Observers coded children's verbalizations into 10 categories and further summed these categories into prosocial (suggest, agree, solicit input, ask, encourage, state personal) and antisocial (command, disagree, discourage, aggress) verbalizations, resulting in 24 variables (12 per task). Across both tasks, Social Relations Model analyses provided evidence of the role of both individual differences [significant effects for actor variance (15 of 24 variables), actor-actor correlations, and intrapersonal correlations] and dyadic processes [significant effects for partner variance (4 of 24 variables), relationship variance (18 of 24 variables), dyadic reciprocity correlations (10 of 24 variables), and interpersonal correlations] in children's conversations with peers.