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      Dissatisfaction in Child Welfare and Its Role in Predicting Self-Efficacy and Satisfaction at Work: A Mixed-Method Research

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      BioMed Research International
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          Abstract

          Child welfare organizations are increasingly concerned with challenges emerging from the assessment of social workers' dissatisfaction. This type of service represents the work area where social workers are at greater risk of burnout. Although several studies account for high social workers' burnout scores, they do not systematically dwell upon its sources and roots. In addition, scholars point out that a considerable number of work related issues may be perceived both as a source of dissatisfaction and satisfaction. We assume that there is a need to deepen the understanding of how dissatisfaction's sources may exert an impact on both personal job satisfaction and professional self-efficacy, which are positively associated with well-being at work. The present mixed-method research has two aims: (1) the extensive exploration, applying qualitative methodology, of the perceived sources of dissatisfaction; (2) the attempt to identify the extent to which those sources predict job satisfaction and professional self-efficacy. It is our purpose to further explore which differences emerge by age. The research involved child welfare workers, that is, SWs employed in public child welfare agencies in the North East of Italy. Results show the predominant role of interpersonal trust and mutual respect, as main predictors of both professional self-efficacy and job satisfaction. Practical implications of findings are discussed.

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          Missing data: our view of the state of the art.

          Statistical procedures for missing data have vastly improved, yet misconception and unsound practice still abound. The authors frame the missing-data problem, review methods, offer advice, and raise issues that remain unresolved. They clear up common misunderstandings regarding the missing at random (MAR) concept. They summarize the evidence against older procedures and, with few exceptions, discourage their use. They present, in both technical and practical language, 2 general approaches that come highly recommended: maximum likelihood (ML) and Bayesian multiple imputation (MI). Newer developments are discussed, including some for dealing with missing data that are not MAR. Although not yet in the mainstream, these procedures may eventually extend the ML and MI methods that currently represent the state of the art.
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            Bowling Alone : The Collapse and Revival of American Community

            Once we bowled in leagues, usually after work; but no longer. This seemingly small phenomenon symbolizes a significant social change that Robert Putnam has identified and describes in this brilliant volume, "Bowling Alone." <p> Drawing on vast new data from the Roper Social and Political Trends and the DDB Needham Life Style -- surveys that report in detail on Americans' changing behavior over the past twenty-five years -- Putnam shows how we have become increasingly disconnected from family, friends, neighbors, and social structures, whether the PTA, church, recreation clubs, political parties, or bowling leagues. Our shrinking access to the "social capital" that is the reward of communal activity and community sharing is a serious threat to our civic and personal health. <p> Putnam's groundbreaking work shows how social bonds are the most powerful predictor of life satisfaction. For example, he reports that getting married is the equivalent of quadrupling your income and attending a club meeting regularly is the equivalent of doubling your income. The loss of social capital is felt in critical ways: Communities with less social capital have lower educational performance and more teen pregnancy, child suicide, low birth weight, and prenatal mortality. Social capital is also a strong predictor of crime rates and other measures of neighborhood quality of life, as it is of our health: In quantitative terms, if you both smoke and belong to no groups, it's a close call as to which is the riskier behavior. <p> A hundred years ago, at the turn of the last century, America's stock of social capital was at an ebb, reduced by urbanization, industrialization, and vast immigration thatuprooted Americans from their friends, social institutions, and families, a situation similar to today's. Faced with this challenge, the country righted itself. Within a few decades, a range of organizations was created, from the Red Cross, Boy Scouts, and YWCA to Hadassah and the Knights of Columbus and the Urban League. With these and many more cooperative societies we rebuilt our social capital. <p> We can learn from the experience of those decades, Putnam writes, as we work to rebuild our eroded social capital. It won't happen without the concerted creativity and energy of Americans nationwide. <p> Like defining works from the past that have endured -- such as "The Lonely Crowd" and "The Affluent Society" -- and like C. Wright Mills, Richard Hofstadter, Betty Friedan, David Riesman, Jane Jacobs, Rachel Carson, and Theodore Roszak, Putnam has identified a central crisis at the heart of our society and suggests what we can do.
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              The experience of work‐related stress across occupations

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                Author and article information

                Contributors
                Journal
                Biomed Res Int
                Biomed Res Int
                BMRI
                BioMed Research International
                Hindawi
                2314-6133
                2314-6141
                2017
                24 October 2017
                : 2017
                : 5249619
                Affiliations
                Department of Human Sciences, University of Verona, Via San Francesco 22, 37129 Verona, Italy
                Author notes

                Academic Editor: Giorgi Gabriele

                Author information
                http://orcid.org/0000-0002-8485-5297
                Article
                10.1155/2017/5249619
                5674486
                11d03b7d-35b7-403c-9c2b-3512a1d01f14
                Copyright © 2017 Sabrina Berlanda et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 May 2017
                : 5 September 2017
                : 25 September 2017
                Categories
                Research Article

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