Research and Identity: Role-efficacy,Benchmarking, and the Identity Construction Process

Abstract

In the spring of 2016, university students with little to no research experience volunteered to assist with surveying for a larger project on college success. Volunteers discussed their field experiences through written statements and semistructured interviews. Eighty log sheets and 14 in-depth interviews serve as the qualitative data for this study. We followed Braun and Clarke’s (2006) Thematic Analysis approach and reviewed the log sheets for key themes. Based on the initial analysis, semistructured standpoint interviews with student volunteers explored the development of a nascent research-based identity. Findings suggest that students’ research-based identity construction was a process that moved from low role-efficacy to emerging role-efficacy through the use of benchmarking and justification strategies that helped overcome negative emotions surrounding an initial sense of low role-efficacy with survey research tasks. We discuss how identity construction unfolded over time and suggest implications for this research.     

The Impact of Political Conflict on Social Work: Experiences from Northern Ireland, Israel and Palestine

This paper investigates the impact of violent political conflicton social workers and service users in three countries: NorthernIreland, Israel and Palestine. Despite its significance forsocial work (and other helping professions), there is a dearthof research on the subject. The authors construct a researchframework which encapsulates the complexity and ambiguity ofthe issues at stake and three parallel empirical studies, whichfollow this framework, are presented. The findings highlightthe burden of working and living in a violent political conflict,not just for service users but also for social workers. Emotionalstress, fear, competing national and religious identities, yetsome indication of resilience, are key findings from these studies.A number of moral and professional dilemmas emerged across allthree studies, often testing loyalty to universal social workvalues. Thus, some respondents at times found it difficult todeal with colleagues and service users who were perceived tobe ‘the enemy’. These studies highlight the needto raise the consciousness of social workers, agencies and policiesabout such issues in a world which is increasingly afflictedby violent political conflict. Support, education and trainingfor social workers which transcend national contexts and furtherinternational research in this important area are recommended.     

Positive youth development within a family leisure context: youth perspectives of family outcomes

Although a variety of recreation programs provide valuable settings for youth development and should continue, the home should be considered the first and perhaps the most essential context for positive youth development. Family leisure experiences are purposively or intentionally planned by invested adults (parents) to create and maintain meaningful relationships and provide supportive opportunities for their children to learn skills and develop behaviors that will not only strengthen current family life but ultimately contribute to their overall positive development. The article presents family leisure research from a youth perspective and sets out the implications of the role of home-based core types of leisure that families engage in.     

An estimator of relative potency

The Kolmogorov-Sxnirnov statistic is used as a basis for defining nonparaim trie point and interval estimators for the relative potency of a test preparation with respect to a standard preparation These estimators compare favorably with those proposed by Sen (1963) if the dosage distribuiton has heavy mass in either of its tails.     

On the performance of two clustering methods for spatial functional data

The performance of two clustering strategies for spatially correlated functional data based on the same measure of spatial dependence is examined and compared. In particular, the role of the spatial dependence computed by the trace-variogram function is analyzed. The main features of both procedures is shown through a simulation study based on a variety of practical scenarios easily encountered in the analysis of spatial functional data. An application on real data based on salinity curves is also presented.     

Adverse Childhood Experiences and Grade Retention in a National Sample of US Children*

Adverse childhood experiences (ACEs) include extreme economic hardship, abuse, neglect, household and family dysfunction, and exposure to community violence. Children with ACEs are at a higher risk of developing mental, physical, and developmental disorders that can lead to difficulty in school. Using the 2012 National Survey of Children's Health, we use multivariate logistic regression to examine the association between ACEs and grade retention and the moderating effects of race/ethnicity on this relationship. Results indicate that specific ACEs are related to higher rates of grade retention (economic hardship, parental incarceration, neighborhood violence, and witnessing domestic violence). Children reporting three or more ACEs were at a significantly higher risk of grade retention compared to children with zero reported ACEs. Further, patterns differed among black children in the sample with higher numbers of ACEs not increasing retention rates for black children compared to white children. This study improves our understanding of the relationship between ACEs and grade retention, but also raises questions about differing patterns among racially and ethnically diverse student populations that warrants further study.     

LINEAR VS. NON–LINEAR MODELS OF THE FORMATION OF AFFECTIVE REACTIONS: THE CASE OF JOB ENLARGEMENT

Numerous researchers have now considered the impact of task characteristics on employee responses. However, relatively little is known about how information regarding individual task dimensions is processed to arrive at an overall judgment. Most studies simply consider the role of individual job characteristics or arbitarily apply a particular combinatory model. In the rare instances where alternative models have been simultaneously considered, there has been some apparent confusion regarding the meaning of models and/or interpretation of findings. The current study explored alternative combinatory models of human evaluative judgments. Data on task dimensions and employee affective responses were collected from subjects in two samples, one in a manufacturing firm and one in a Division of Corrections. Task dimension scores were combined by use of compensatory, conjunctive, and disjunctive models. Multiple regression was used to examine relationships between resultant scores and various affective response indices. All three models exhibited generally significant predictive ability. The linear compensatory model was found to be as powerful a predictor of evaluative judgments as were non-linear alternatives. Implications of findings are presented.     

YOUR LANGUAGE OR MINE? THE NONCOMMUNICATIVE BENEFITS OF LANGUAGE SKILLS

Do languages matter beyond their communicative benefits? We explore the potential role of preferences over the language of use, theoretically and empirically. We focus on Catalonia, a bilingual society where everyone is fully proficient in Spanish, to isolate linguistic preferences from communicative benefits. Moreover, we exploit the language‐in‐education reform of 1983 to identify the causal effects of language skills. Results indicate that the policy change has improved the Catalan proficiency of native Spanish speakers, which in turn increased their propensity to find Catalan‐speaking partners. Hence, the acquisition of apparently redundant language skills has reduced endogamy. (JEL C26, C78, I28, J12, J15, Z13)     

Frequentist and Bayesian approaches for interval-censored data

Interval censoring appears when the event of interest is only known to have occurred within a random time interval. Estimation and hypothesis testing procedures for interval-censored data are surveyed. We distinguish between frequentist and Bayesian approaches. Computational aspects for every proposed method are described and solutions with S-Plus, whenever are feasible, are mentioned. Three real data sets are analyzed.