A methodology for connecting user centered design (UCD) with eco-design. The possibility of migration of products to services based on the user acceptance

The consumer products generation is one of the main engines that fuel the planet's environmental problems, reduction of environmental impacts associated with the products has been studied from various aspects between them, the supply of products for public consumption instead of private, seeking to meet the needs of the community by establishing programs for sharing single product. It has been detected a problematic issues linked to this strategy, where the user acceptance of this new way of living together with the products must be achieved. The arguments here presented seek to identify user perception of such proposals and their possible acceptance throughout strategies from the User Centered Design (UCD).     

Variance estimation for two‐phase stratified sampling

The authors consider variance estimation for the generalized regression estimator in a two‐phase context when the first‐phase sample has been restratified using information gathered from the first‐phase sample. Simple computational expressions for variance estimation are provided for the double expansion estimator and the reweighted expansion estimator of Kott & Stukel (1997). These estimators are compared using data from the Canadian Retail Commodity Survey.     

Differences in drinking expectancies and motives for regular education and special education high school students with emotional/behavioral disorders

Alcohol expectancies and drinking motives were compared for regular education students (n=159) and students with emotional/behavioral disorders (EBD) receiving special education services (n=51). Differences existed between groups with respect to expected negative social consequences and emotional and physical outcomes associated with drinking. Across groups, drinkers reported more positive alcohol expectancies than non-drinkers, while non-drinkers reported more negative alcohol expectancies than drinkers. Differences also existed between the regular education and EBD students who drank with respect to coping, conformity, and social motives. Accounting for sample sizes differences, the relationship between alcohol use and negative physical effect was stronger for regular education students, while the relationship between alcohol use and conformity motives was stronger for the EBD group.     

The false narrative about personal budgets in England: smoke and mirrors?

Successive governments have supported ‘personal budgets’ as the route to transforming social care. However, this article outlines how the evidence has been constructed in a way that creates a narrative about personal budgets which is misleading. It is a narrative that continues to dominate the national strategy. The consequence is that the care system remains set in a dysfunctional, two-tier state. For the bottom tier, comprising over 90%, we argue there has not been, nor will there be under the current strategy, any transformation.     

The economic significance of laws relating to employment protection and different forms of employment: Analysis of a panel of 117 countries, 1990–2013

The authors use time series econometric analysis applying non‐stationary panel data methods to estimate the relationships between employment protection legislation and legal protection of different forms of employment (part‐time, fixed‐term and agency work), and economic outcomes, with a data set based on the Centre for Business Research Labour Regulation Index (CBR–LRI), covering 117 countries from 1970 to 2013. Findings suggest that these laws have become significantly more protective over time and that strengthening worker protection is associated with an increase in labour's share of national income, rising labour force participation, rising employment, and falling unemployment, although the observed magnitudes are small when set against wider economic trends.     

A robust regression methodology via M-estimation

A robust regression methodology is proposed via M-estimation. The approach adapts to the tail behavior and skewness of the distribution of the random error terms, providing for a reliable analysis under a broad class of distributions. This is accomplished by allowing the objective function, used to determine the regression parameter estimates, to be selected in a data driven manner. The asymptotic properties of the proposed estimator are established and a numerical algorithm is provided to implement the methodology. The finite sample performance of the proposed approach is exhibited through simulation and the approach was used to analyze two motivating datasets.     

Location, Location, Location: Does Place of Work Really Matter?

This paper examines the work attitudes of home- and office-based workers. A review of the existing literature finds both pessimistic and optimistic accounts of the impact of homeworking on employee attitudes and behaviours. Drawing on a survey of 749 managerial and professional employees in knowledge-intensive industries, the study finds more support for the optimistic perspective. The findings suggest that homeworking is positively associated with employee well-being and a more balanced work–home relationship. There is no evidence that organizational citizenship behaviours are reduced by homeworking but there is some support for homeworking undermining employees' perception of the organization as supporting their careers and personal development.     

Optimal composite scores for longitudinal clinical trials under the linear mixed effects model

Clinical trials of chronic, progressive conditions use rate of change on continuous measures as the primary outcome measure, with slowing of progression on the measure as evidence of clinical efficacy. For clinical trials with a single prespecified primary endpoint, it is important to choose an endpoint with the best signal‐to‐noise properties to optimize statistical power to detect a treatment effect. Composite endpoints composed of a linear weighted average of candidate outcome measures have also been proposed. Composites constructed as simple sums or averages of component tests, as well as composites constructed using weights derived from more sophisticated approaches, can be suboptimal, in some cases performing worse than individual outcome measures. We extend recent research on the construction of efficient linearly weighted composites by establishing the often overlooked connection between trial design and composite performance under linear mixed effects model assumptions and derive a formula for calculating composites that are optimal for longitudinal clinical trials of known, arbitrary design. Using data from a completed trial, we provide example calculations showing that the optimally weighted linear combination of scales can improve the efficiency of trials by almost 20% compared with the most efficient of the individual component scales. Additional simulations and analytical results demonstrate the potential losses in efficiency that can result from alternative published approaches to composite construction and explore the impact of weight estimation on composite performance. Copyright © 2016. The Authors. Pharmaceutical Statistics Published by John Wiley & Sons Ltd.