An Investigation of the Relationship Among Burnout, Hardiness, Job and Demographic Characteristics PDF Download
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Author: Harris Berger
Publisher:
ISBN:
Category : Burn out (Psychology)
Languages : en
Pages : 190
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Author: Harris Berger
Publisher:
ISBN:
Category : Burn out (Psychology)
Languages : en
Pages : 190
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Book Description
Author: Melanie P. Brodnik
Publisher:
ISBN:
Category :
Languages : en
Pages : 590
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Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 856
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Author: Felix Ladst„tter
Publisher: Diplomica Verlag
ISBN: 3836661411
Category : Health & Fitness
Languages : en
Pages : 249
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Book Description
This Study about burnout in nurses takes a different approach than all prior empirical work on this topic given that nonlinear relationships between job stressors, personal factors and the three burnout dimensions are investigated using artificial neural networks, a type of computer simulation that is especially well suited to capturing nonlinearities in data. The burnout process is related to organizational, personal, interpersonal, social, and cultural variables and these relationships are not exclusively linear. Due to this nonlinearity, hierarchical stepwise multiple regression or other linear statistical methods, may perhaps not be the most suitable method to analyze the data effectively. Compounding the dilemma is that multiple linear regression returns no direct indicator with regard to whether the data is best portrayed linearly. In standard least squares linear regression, the model has to be specified previously and assumptions have to be made concerning the underlying relationship between independent variables and dependent variables. Since by default, the relationship is often assumed to be linear, the regression line can be erroneous even though the error of the fit can be small. Artificial neural networks do not have these limitations with nonlinearities and are therefore predestined for the analysis of nonlinear relationships.This study is a complex research of burnout that includes socio-demographic characteristics, job stressors, and hardy personality. Typically, studies on burnout have investigated primarily the effects of organizational factors. Recently, authors revealed and confirmed the important effects of personality variables on the burnout process.The objective of developing an instrument to predict burnout (NuBuNet abbreviation for Nursing Burnout Network) in nurses is accomplished by using two different types of artificial neural networks: A three-layer feed-forward network with the gradient decent back-propagation training algorithm and a radial basis function network with two different training algorithms: the pseudo inverse algorithm and a hybrid algorithm. The implementation of the artificial neural networks used in this study is carried out in a MATLAB development environment. Instead of writing each artificial neural network as a stand-alone program, an object-oriented programming style is chosen to include all functions into one single system. Three artificial neural networks are implemented in the technical part of this study. A self-organizing map, a three-layer back-propagation network, and a radial basis function network. Whereas the self-organizing map is only used in the data preparation process, the back-propagation network and the radial basis function network is used in the burnout model approximation.After an exhaustive training and simulation session including more than 150 networks and an analysis of all results, the network with the best results is chosen to be compared to the hierarchical stepwise multiple regression.The network paradigms are better suited for the analysis of burnout than hierarchical stepwise multiple regression. Both can capture nonlinear relationships that are relevant for theory development. At predicting the three burnout sub-dimensions emotional exhaustion, depersonalization, and lack of personal accomplishment however, the radial basis function network is slightly better than the three-layer feed-forward network.
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 882
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Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 76
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Author: Tracey Michelle Boston
Publisher:
ISBN:
Category : Burn out (Psychology)
Languages : en
Pages :
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This quantitative survey study examined stress/burnout and job satisfaction in a sample of 108 social workers in rural Mississippi using the Maslach Burnout Inventory (MBI) and Abridged Job Description Index (AJDI). The research examined the prevalence of stress/burnout among mental health social workers employed with the Mississippi Department of Mental Health. The research focused primarily on the relationship between burnout and job satisfaction and the degree to which levels of burnout and satisfaction were associated with demographic characteristics. Results of this study showed that 36.1% of respondents reported a high level of emotional exhaustion, 6.5% reported high levels of depersonalization, and 27.8% reported high level of personal accomplishment. Multiple dimensions of job satisfaction were found to be associated with burnout; emotional exhaustion was a particularly strong predictor of low job satisfaction. No significant differences in burnout and job satisfaction were found between men and women. Levels of burnout and job satisfaction were not related significantly to respondents' age, marital status, or years of experience. Bachelor-level social workers scored higher on both emotional exhaustion and depersonalization than Masters-level social workers. A significant difference between African-Americans and Caucasians was found for general job satisfaction. Social worker certification, years of social work experience, and education level were related significantly to satisfaction with opportunities for promotion. Caseload was associated with differential levels of job satisfaction, but not in a simple linear pattern: the lowest levels of job satisfaction were found among social workers with moderate caseloads (21-30 clients).
Author: Marialaura Di Tella
Publisher: Frontiers Media SA
ISBN: 283251295X
Category : Science
Languages : en
Pages : 124
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Author: David F. Gillespie
Publisher: Psychology Press
ISBN: 086656666X
Category : Burn out (Psychology)
Languages : en
Pages : 113
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Book Description
State of the art empirical knowledge about burnout among social workers is discussed in this comprehensive book. It illustrates and assesses problems with definitions and theoretical orientations to help clarify the overall conceptual vagueness that has plagued burnout research since its beginning. The expert contributors clearly demonstrate the importance of burnout measurement for theory and practice and establish important guidelines for subsequent research and theory development in this area.
Author: William C. Horst
Publisher:
ISBN:
Category : Burn out (Psychology)
Languages : en
Pages : 352
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Book Description
