Barriers to evidence based practice in accommodations for an aging workforce

According to a recent Government Accountability Office report, the number of workers over age 55 is projected to increase significantly over the next twenty years, with this demographic group projected to comprise as much as twenty percent of the workforce by 2015 [12]. Accommodating the functional limitations of a large number of older workers may prove challenging for employers; however, policies and practices shaped over the course of the next few decades could allow aging workers to remain a valuable part of the US economy. Given these considerations, it is useful from a public policy perspective to determine the degree to which employers are currently addressing the accommodation needs of older workers. This paper presents the results of a study that attempted to determine the extent to which a sample of Fortune 500 employers was currently accommodating older workers. The study's methodology (in particular, its use of semi-structured telephone interviews) is reevaluated and new options (such as anonymous online employer surveys) are considered for the valid and reliable collection of data on accommodations for older workers.     

Employee Volunteering and Social Capital: Contributions to Corporate Social Responsibility

As employee volunteering (EV) is increasingly regarded as a means of improving companies' community and employee relations, we investigate the contribution of EV to corporate social responsibility, specifically whether and how it contributes to social capital. We investigate the dynamics of EV in three UK companies. We explore the social relations and resources which underpin social capital creation; the roles of opportunity, motivation and ability in bringing the actors together and enhancing their capacity for cooperation; and the ways in which alternative EV modes inform the different dimensions of social capital – networks, trust and norms of cooperation. Our paper contributes to our understanding of EV and the factors that enable it to create social capital. Finally we assess the contribution of EV to the overall corporate social responsibility agenda of companies.     

Affective disorders

Unipolar depressive disorders are especially common among persons presenting with marital and family problems, rendering their impact on the treatment of marital and family problems of interest to every marriage and family therapist. The current paper describes empirically based decision making rules for determining who may benefit most from marital and family therapy interventions. Using well-controlled outcome research, it is concluded that both marital therapy and parenting interventions can play an important role in the treatment of many but not all depressed persons. Predictors of treatment response are discussed and recent epidemiological research is used to examine the size of the population that may respond especially well to marital therapy. Future directions for research are suggested and public policy implications are discussed.     

LM Test of Neglected Correlated Random Effects and Its Application

This article aims at achieving two distinct goals. The first is to extend the existing LM test of overdispersion to the situation where the alternative hypothesis is characterized by the correlated random effects model. We obtain a result that the test against the random effects model has a certain max-min type optimality property. We will call such a test the LM test of overdispersion. The second goal of the article is to draw a connection between panel data analysis and the analysis of multiplicity of equilibrium in games. Because such multiplicity can be viewed as a particular form of neglected heterogeneity, we propose an intuitive specification test for a class of two-step game estimators.     

News and information leadership in the digital age

This paper examines information networks on social media to draw conclusions about influence relationships among members of the mass media. The project considers social networks and information patterns using Twitter data, first at the newspaper level and second at the journalist level. Using a computational approach, we look for evidence of elite-directed information flows, as well as exploring whether we find evidence of an increase in the democratization of newsmaking. This study finds that elite voices continue to dominate information networks in the digital age; however, it also finds evidence that information can move expeditiously from journalists in local and regional outlets to elite ones, and vice versa. We move further to explore the content of tweets among the journalist network, finding that there are substantial, direct interactions among elite and regional and local journalists. Our results taken together uncover new network patterns and provide a novel insight on the role of information technologies in newsmaking in the digital age.     

The Effects of Social Comparison and Objective Feedback on Work Performance Across Different Performance Levels

This study investigated the interaction effects of feedback content type (social comparison feedback vs. objective feedback) and two different performance levels (high vs. low) on work performance. One hundred fifty participants were recruited and asked to perform a simulated work task in a preliminary session. Based on their performance, the upper 40% (high performance) and lower 40% (low performance) groups were selected for the main experiment. Participants in each group were randomly assigned to the two different experimental conditions: objective feedback and social comparison feedback. For the participants in the objective feedback condition, information on the number of correctly completed work tasks was provided. For the participants in the social comparison feedback condition, rank information on their performance was provided. The results indicated that social comparison feedback was more effective than objective feedback for the high performers, but was less effective for the low performers.