Investment model predictions of workplace ostracism on K–12 teachers’ commitment to their schools and the profession of teaching

The purpose of this study was to determine how the ostracism of K-12 teachers influences their commitment to their schools and commitment to the teaching profession. The investment model was used to situate ostracism as a predictor of teacher commitment. Participants were 200 full-time K-12 teachers who completed a survey assessing their experiences with ostracism at work and investment model variables (i.e., investments, quality of alternatives, satisfaction, and commitment). Results confirmed investment model predictions with teachers’ investments, quality of alternatives, and satisfaction predicting their commitment to their schools and profession. Results of mediation models also demonstrated that controlling for teachers’ investments and quality of alternatives, ostracism predicted commitment indirectly through its effect on satisfaction. This study revealed that teacher commitment is explained by investment model predictions, but after controlling for those predictions, is further explained by ostracism from teacher colleagues.     

Child-custody reform and the division of labor in the household

We investigate whether the adoption of joint-custody laws affects the amount of time that married mothers and fathers devote to market and household work. Our findings suggest that custody reform induces a reallocation of time within marriage, with mothers working more in the market and fathers working more in the home. However, fathers lower their labor-force-participation rates in response to custody reform. The patterns in the data are most easily reconciled with models that emphasize shifts in bargaining power to one household member, which is likely the father in the case of joint-custody reform.     

A varying coefficient approach to estimating hedonic housing price functions and their quantiles

The varying coefficient (VC) model introduced by Hastie and Tibshirani [26 T. Hastie and R. Tibshirani, Varying-coefficient models, J. R. Statist. Soc. (Ser. B) 55 (1993), pp. 757–796.[Web of Science ®] , [Google Scholar]] is arguably one of the most remarkable recent developments in nonparametric regression theory. The VC model is an extension of the ordinary regression model where the coefficients are allowed to vary as smooth functions of an effect modifier possibly different from the regressors. The VC model reduces the modelling bias with its unique structure while also avoiding the ‘curse of dimensionality’ problem. While the VC model has been applied widely in a variety of disciplines, its application in economics has been minimal. The central goal of this paper is to apply VC modelling to the estimation of a hedonic house price function using data from Hong Kong, one of the world's most buoyant real estate markets. We demonstrate the advantages of the VC approach over traditional parametric and semi-parametric regressions in the face of a large number of regressors. We further combine VC modelling with quantile regression to examine the heterogeneity of the marginal effects of attributes across the distribution of housing prices.     

A weighted Harrell–Davis distance test with applications to censored data

Consider the standard treatment-control model with a time-to-event endpoint. We propose a novel interpretable test statistic from a quantile function point of view. The large sample consistency of our estimator is proven for fixed bandwidth values theoretically and validated empirically. A Monte Carlo simulation study also shows that given small sample sizes, utilization of a tuning parameter through the application of a smooth quantile function estimator shows an improvement in efficiency in terms of the MSE when compared to direct application of classic Kaplan–Meier survival function estimator. The procedure is finally illustrated via an application to epithelial ovarian cancer data.     

The Impact of the Physical Home Environment for Family Carers of People with Dementia: A Qualitative Study

Background: The majority of people with dementia are cared for by their families at home. This study aimed to elicit family carers' perceptions on home environmental aspects and strategies with the view to identify barriers and facilitators when caring for a person with dementia at home.

Design and methods: Thirteen co-resident family carers were engaged in semi-structured in-depth walking interviews. Interviews were recorded, transcribed and analysed using thematic analysis.

Results: Home environments can pose a number of challenges and opportunities. Aspects of the architectural and interior environment (e.g. size, condition, layout and accessibility, familiarity) are perceived as important (Theme 1) as well as a plethora of environmental strategies that encourage independence and comfort at home (Theme 2). Carers' scepticism, timing, costs, property characteristics and mistrust to services are some barriers to implementing environmental strategies (Theme 3).

Conclusions: Carers improvised solutions via trial and error and need further education on strategies to create an enabling and comfortable home environment.     

The FARSEEING real-world fall repository: a large-scale collaborative database to collect and share sensor signals from real-world falls

Background

Real-world fall events objectively measured by body-worn sensors can improve the understanding of fall events in older people. However, these events are rare and hence challenging to capture. Therefore, the FARSEEING (FAll Repository for the design of Smart and sElf-adaptive Environments prolonging Independent livinG) consortium and associated partners started to build up a meta-database of real-world falls.

Results

Between January 2012 and December 2015 more than 300 real-world fall events have been recorded. This is currently the largest collection of real-world fall data recorded with inertial sensors. A signal processing and fall verification procedure has been developed and applied to the data. Since the end of 2015, 208 verified real-world fall events are available for analyses. The fall events have been recorded within several studies, with different methods, and in different populations. All sensor signals include at least accelerometer measurements and 58 % additionally include gyroscope and magnetometer measurements. The collection of data is ongoing and open to further partners contributing with fall signals. The FARSEEING consortium also aims to share the collected real-world falls data with other researchers on request.

Conclusions

The FARSEEING meta-database will help to improve the understanding of falls and enable new approaches in fall risk assessment, fall prevention, and fall detection in both aging and disease.

     

Double Return Migration: Failed Returns to Poland Leading to Settlement Abroad and New Transnational Strategies

Many Poles who have arrived in the UK since EU accession show signs of settling. Often (especially for families with school‐age children) this is a gradual process. Other Poles have returned to Poland, but Poland currently seems to be having problems keeping its return migrants. Many go back only to depart again. This article focuses on why some returnees change their minds and decide to make a long‐term home abroad. It explores the implications of this decision for transnational practices and identities. It argues that often the key objective is stability. Choosing to settle abroad in the hope of a stable life, returnees attempt to live less split lives. While maintaining certain transnational practices, they scale down others, such as return visits to Poland and keeping well‐informed about Polish current events. Simultaneously, they make a decisive effort to integrate into the regular UK labour and housing markets.