Changes in couple,parenting, and individual functioning following Family Expectations program participation

The current study investigated changes in couple, parenting, and individual functioning following participation in Family Expectations, a relationship and parenting education program for new or expectant parents. The sample comprised 339 couples who participated in most sessions of the Family Expectations program and completed assessments at three different time points over a 12-month period. Study analyses examined: (a) change shortly following completion of the program, (b) associations between short-term change and subsequent change in outcomes at 12-month follow-up, and (c) differences in short-term change between married and unmarried couples. Significant improvements were observed in all three domains at short-term follow-up. Short-term changes, particularly for psychological distress, were predictive of long-term change in multiple domains. Few moderation effects by marital status were evident; those that appeared suggested stronger effects for married participants compared to unmarried. Study findings inform ongoing discussions into the utility of federally-funded relationship and parenting programming.     

RENT CREATION AND RENT SHARING: NEW MEASURES AND IMPACTS ON TOTAL FACTOR PRODUCTIVITY

This analysis proposes new measures of rent creation and rent sharing and assesses their impact on productivity on cross‐country‐industry panel data. We find first that: (1) anticompetitive product market regulations positively affect rent creation and (2) employment protection legislation boosts hourly wages, particularly for low‐skill workers. However, we find no significant impact of this employment legislation on rent sharing, as the hourly wage increases are offset by a negative impact on hours worked. Second, using regulation indicators as instruments, we find that rent creation and rent sharing both have a substantial negative impact on total factor productivity. (JEL E22, E24, O30, L50, O43, O47, C23)     

Subjective evaluations of alcohol-related consequences among college students: Experience with consequences matters

Objective: Research suggests college students rate some alcohol-related consequences less negatively than others, yet it is unclear how or when these differences in perception develop. The current study compared college students' subjective evaluations of alcohol-related consequences that they had and had not experienced in order to test the hypothesis that students become desensitized to the consequences they experience. Participants: Participants were 269 undergraduate students enrolled at a large, public, Midwestern university. Methods: Participants completed measures of drinking behaviors, consequences experienced, and subjective evaluations of consequences via an online survey. Results: Participants rated the consequences they had personally experienced more positively than those they had not experienced. Similarly, individuals who reported experiencing consequences rated them as significantly more positive than those who had not experienced the same consequences. Conclusions: Experience with consequences is associated with more positive evaluations of those consequences. Therefore, it may be important to consider individuals' experiences with, and evaluations of, alcohol-related consequences in college student drinking interventions.     

The raise estimator estimation,inference, and properties

Several methods using different approaches have been developed to remedy the consequences of collinearity. To the best of our knowledge, only the raise estimator proposed by García et al. (2010 García, C.B., García, J., Soto, J. (2010). The raise method: An alternative procedure to estimate the parameters in presence of collinearity. Qual. Quantity 45(2):403–423.[Crossref], [Web of Science ®] , [Google Scholar]) deals with this problem from a geometric perspective. This article fully develops the raise estimator for a model with two standardized explanatory variables. Inference in the raise estimator is examined, showing that it can be obtained from ordinary least squares methodology. In addition, contrary to what happens in ridge regression, the raise estimator maintains the coefficient of determination value constant. The expression of the variance inflation factor for the raise estimator is also presented. Finally, a comparative study of the raise and ridge estimators is carried out using an example.     

Computing the <Emphasis Type="Italic">k</Emphasis>-resilience of a synchronized multi-robot system

The vertex arboricity va(G) of a graph G is the minimum number of colors the vertices can be colored so that each color class induces a forest. It was known that \(va(G)\le 3\) for every planar graph G. In this paper, we prove that \(va(G)\le 2\) if G is a planar graph without intersecting 5-cycles.     

The Development and Implementation of a Multi‐Couple Therapy Model with Torture Survivors in the Democratic Republic of the Congo

In this article, we present development and feasibility of implementation of a multi‐couple group for use with torture‐surviving couples. The model was developed in the Democratic Republic of the Congo in a community that experienced widespread torture during the wars from 1998 to 2004. The Torture‐Surviving Couple Group model is a short‐term intervention designed to use few human resources to address relational difficulties resulting from exposure to traumatic stressors. The model was guided by critical and feminist epistemologies and employed an ecological lens to incorporate neurobiology and attachment processes along with narrative therapy techniques. An existing multi‐couple group model for addressing violence (Stith, Rosen, McCollum, & Thomsen, 2004 ), and a stage model for healing trauma (Herman, 1992 ) also informed the structural development of the Torture‐Surviving Couple Group model. Couple groups were conducted using a 10‐session program with 13 couples who met weekly. Session themes were incorporated into four phases emphasizing: (a) preparation; (b) safety and stabilization; (c) processing the relationship effects of trauma and grief; and (d) reintegration and rebuilding couple and family life. Couples reported and showed remarkable progress in their relationships after participating in the groups. Clinical and research implications and discussed along with the feasibility of developing and testing the model in a post‐conflict low income setting.     

Interior Immigration Enforcement and Political Participation of U.S. Citizens in Mixed-Status Households

The 2000s have witnessed an expansion of interior immigration enforcement in the United States. At the same time, the country has experienced a major demographic transformation, with the number of U.S. citizens living in mixed-status households—that is, households where at least one family member is an unauthorized migrant—reaching 16 million. U.S. citizens living in mixed-status households are personally connected to the struggles experienced by their unauthorized family members. For them, immigration policy is likely to shape their current and future voting behavior. Using data from the 2002–2014 Current Population Survey Voting and Registration Supplements, we examine whether intensified immigration enforcement has affected the political engagement of U.S. citizens living in mixed-status households. We find that immigration enforcement has chilled their electoral participation by lowering their propensity to register by 5 %; however, it has not visibly affected their voting propensity among those registered. Importantly, their lower voting registration likelihood does not seem to reflect indifference for community and public matters, given that it has been accompanied by greater involvement in civic forms of political participation, such as volunteering. Understanding how immigration policy affects the political participation of a fast-growing segment of the electorate is imperative because they will inevitably constitute a rapidly rising political force in future elections.     

Kaizen and ergonomics: the perfect marriage

This paper is an approach of how Kaizen (Continuous Improvement) and Ergonomics could be implemented in the field of work. The Toyota's Team Members are the owners of this job, applying tools and techniques to improve work conditions using the Kaizen Philosophy in a QCC Activity (Quality Control Circle).     

Forensics ergonomics in Spain. Research priorities by the Delphi technique

Among the many fields of application of Ergonomics, this research deals with the services offered to Justice from the expertise recognized by the Law on prevention of occupational risks within the framework of the Law of Civil Procedure: Ergonomics forensic also called Legal Ergonomics. In Spain there are experiences since 1995 and an important development and this paper is to investigate the actions required for a more widespread use in trials. Consensus methods such as the Delphi survey technique are being employed to help enhance effective decision-making in the future development of Ergonomics Forensics. The Delphi survey is a group facilitation technique, which is an iterative multistage process, designed to transform opinion into group consensus. It is a flexible approach, that is used commonly within the health and social sciences, however, there is little use and practice of ergonomics as a technique to facilitate the participation of all experts involved: judges, lawyers and expert ergonomists.     

Single-index regression models with right-censored responses

In this article, we propose some new generalizations of M-estimation procedures for single-index regression models in presence of randomly right-censored responses. We derive consistency and asymptotic normality of our estimates. The results are proved in order to be adapted to a wide range of techniques used in a censored regression framework (e.g. synthetic data or weighted least squares). As in the uncensored case, the estimator of the single-index parameter is seen to have the same asymptotic behavior as in a fully parametric scheme. We compare these new estimators with those based on the average derivative technique of Lu and Burke [2005. Censored multiple regression by the method of average derivatives. J. Multivariate Anal. 95, 182–205] through a simulation study.