scholarly journals THE RELATION BETWEEN JOB SATISFACTION AND PROFESSIONAL BURNOUT IN EDUCATIONAL ORGANIZATIONS

2021 ◽  
Vol 79 (4) ◽  
pp. 544-553
Author(s):  
Mehmet Ali Yarim

Professional burnout is one of the most important problems of working life today. In this research it is aimed to follow the relation between job satisfaction and professional burnout of education workers by using meta-analysis method. In this context, examining the relation between occupational burnout and job satisfaction in educational organizations in Turkey master's theses, articles in Google Scholar by National Thesis Center with his doctoral thesis, EBSCO, ULAKBİM and Dergipark databases scanned, and the number of samples required for the meta-analysis and Pearson's correlation coefficient A meta-analysis of 41 (N = 11050) studies containing (r) value was conducted. Effect size values, publication bias, heterogeneity and significance tests results were obtained using the CMA program in the study. In the research study conducted in the random effects model, it was concluded that the p value was less than .05, it took a value between -0.496 - 0.385 lower and upper limits in the 95% confidence interval, and the effect size was at the level of -0.443. Keywords: aimlessness, job satisfaction, burnout, professional burnout, meta-analysis

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmet Hakan Özkan

PurposeThis study aims to investigate the relationships between job satisfaction, organizational commitment and turnover intention of information technology (IT) personnel.Design/methodology/approach3,844 studies which are published between 1998 and 2019 are screened on ScienceDirect, Scopus and ProQuest databases. 10,523 subjects formed the first data set regarding the relationship between job satisfaction and turnover intention, 7,903 subjects formed the second data set regarding the relationship between organizational commitment and turnover intention, 843 subjects formed the third data set regarding the relationship between empowerment and turnover intention, and 3,430 subjects formed the fourth data set regarding the relationship between job satisfaction and organizational commitment.FindingsResults showed that the effect size of the relationship between job satisfaction and organizational commitment is the strongest (r = 0.59). The effect size of the relationship between job satisfaction and turnover intention (r = −0.50), and the effect size of the relationship between organizational commitment and turnover intention r = −0.51) were also large. But the effect size of the relationship between empowerment and turnover intention was medium (r = −0.34).Originality/valueThis study is rare, and it can be used by the managers working in the IT industry.


2018 ◽  
Vol 33 (1) ◽  
pp. 84
Author(s):  
José Valladares-Neto

OBJECTIVE: Effect size (ES) is the statistical measure which quantifies the strength of a phenomenon and is commonly applied to observational and interventional studies. The aim of this review was to describe the conceptual basis of this measure, including its application, calculation and interpretation.RESULTS: As well as being used to detect the magnitude of the difference between groups, to verify the strength of association between predictor and outcome variables, to calculate sample size and power, ES is also used in meta-analysis. ES formulas can be divided into these categories: I – Difference between groups, II – Strength of association, III – Risk estimation, and IV – Multivariate data. The d value was originally considered small (0.20 > d ≤ 0.49), medium (0.50 > d≤ 0.79) or large (d ≥ 0.80); however, these cut-off limits are not consensual and could be contextualized according to a specific field of knowledge. In general, a larger score implies that a larger difference was detected.CONCLUSION: The ES report, in conjunction with the confidence interval and P value, aims to strengthen interpretation and prevent the misinterpretation of data, and thus leads to clinical decisions being based on scientific evidence studies.


Pharmaceutics ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 453 ◽  
Author(s):  
Vilches ◽  
Tuson ◽  
Vieta ◽  
Álvarez ◽  
Espadaler

Several pharmacogenetic tests to support drug selection in psychiatric patients have recently become available. The current meta-analysis aimed to assess the clinical utility of a commercial pharmacogenetic-based tool for psychiatry (Neuropharmagen®) in the treatment management of depressive patients. Random-effects meta-analysis of clinical studies that had examined the effect of this tool on the improvement of depressive patients was performed. Effects were summarized as standardized differences between treatment groups. A total of 450 eligible subjects from three clinical studies were examined. The random effects model estimated a statistically significant effect size for the pharmacogenetic-guided prescription (d = 0.34, 95% CI = 0.11–0.56, p-value = 0.004), which corresponded to approximately a 1.8-fold increase in the odds of clinical response for pharmacogenetic-guided vs. unguided drug selection. After exclusion of patients with mild depression, the pooled estimated effect size increased to 0.42 (95% CI = 0.19–0.65, p-value = 0.004, n = 287), corresponding to an OR = 2.14 (95% CI = 1.40–3.27). These results support the clinical utility of this pharmacogenetic-based tool in the improvement of health outcomes in patients with depression, especially those with moderate–severe depression. Additional pragmatic RCTs are warranted to consolidate these findings in other patient populations.


2021 ◽  
Vol 2 (2) ◽  
pp. 89-97
Author(s):  
Sandheep Sugathan ◽  
Lilli Jacob

   Background: To describe various measures for estimation of effect size, how it can be calculated and the scenarios in which each measures of effect size can be applied.  Methods: The researchers can display the effect size measures in research articles which evaluate the difference between the means of continuous variables in different groups or the difference in proportions of outcomes in different groups of individuals. When p-value alone is displayed in a research article, without mentioning the effect size, reader may not get the correct pictures regarding the effect or role of independent variable on the outcome variable.  Results: Effect size is a statistical concept that measures the actual difference between the groups or the strength of the relationship between two variables on a numeric scale.  Conclusion: Effect size measures in scientific publications can communicate the actual difference between groups or the estimate of association between the variables, not just if the association or difference is statistically significant. The researchers can make their findings more interpretable, by displaying a suitable measure of effect size. Effect size measure can help the researchers to do meta-analysis by combining the data from multiple research articles. 


2017 ◽  
Vol 25 (2) ◽  
Author(s):  
Ferdinand - Hindiarto

This study examined the correlation between job satisfaction and turnover intention derived from various studies in 2009-2016 using meta-analysis method. The used samples consisted of 25 studies from 21 research journal drawn from online databases. Analyses were conducted using two artefacts, correction on error sampling and on error measures. Results of the study showed that correlation between job satisfaction and turnover intention in the 1st artefact was -0,46 and in the 2nd artefact was -0,56.


2021 ◽  
Vol 12 (4) ◽  
pp. 5579-5590

Comorbidity is the coexistence of two or more diseases in a certain period. Severe COVID-19 can occur in healthy individuals of any age but predominantly in adults of advanced age or with underlying medical comorbidity. Comorbidities are identified as the main determinants of poor outcomes. This meta-analysis aims to examine the effect of comorbidity on mortality in patients with a diagnosis of COVID-19. Materials and Methods: The studies published between 2019-2020 from Google Scholar, Pub Med, Medline, Scopus, Science Direct, and Web of Science databases were scanned. Inter-rater agreement was calculated with Kappa statistics, effect size "Odds Ratio", heterogeneity between studies with Cochran's Q statistics. The study's effect size and publication bias included in the meta-analysis were calculated using the CMA 3 (Comprehensive Meta-Analysis) program. Results: A total of 24 studies were included in the study. According to the random-effects model, the overall effect size of comorbid factors on mortality development in patients diagnosed with COVID-19 was found to be statistically significant with a value of 2.537 (G.A; 2.078-2.098; p <0.05). In conclusion, cancers, chronic respiratory diseases, diabetes, hypertension, and especially cardiovascular comorbidities are important risk factors for COVID-19 related mortality for COVID-19. There are controversial results in the literature; Further studies involving larger patient groups and examining the specific impact of certain comorbid conditions are needed in order to reach more precise conclusions.


2020 ◽  
Vol 18 (1) ◽  
pp. 22-35
Author(s):  
Lubna Lubna

  This research is intended to analyze the effectiveness of problem-based learning in social sciences settings. The study employed a quantitative approach using a meta-analysis method which is defined as the analysis of the same topic existing literature. This study referenced 4 out of 9 representative journals and was determined as the analysis unit. Subsequently, it is decided to make six sub-study out of four analysis unit. Glass’ effect size equation is employed as the data analysis. This study revealed, (1) the overall effect of the problem-based method on the students’ learning achievement standard deviation was 0,795, (2) the utilization of problem-based method showed significant result on the highly motivated and gifted students; (3) this learning method is relevant to all educational stage.


2021 ◽  
Vol 4 (2) ◽  
pp. 33-38
Author(s):  
Nanda Putra ◽  
Risa Kartika Lubis

This study aims to analyze personality, job satisfaction and the influence of personality on job satisfaction of employees of PT Surya Windu Pertiwi Serdang Bedagai. Respondents in this study were employees of PT Surya Windu Pertiwi Serdang Bedagai consisting of 43 respondents. The data analysis method used is descriptive statistics and simple regression. The results of the test show that the personality of openees to experience is a prominent personality of the employees of PT Surya Windu Pertiwi Serdang Bedagai with an average score of 3.8889. Meanwhile, the average value of descriptive statistics for the job satisfaction variable was 3.1457, indicating that the employees of PT Surya Windu Pertiwi Serdang Bedagai still did not have good job satisfaction. The results of the analysis show that personality does not have a positive and significant effect on job satisfaction of employees with a P-value of 0.382 greater than 0.05. The managerial implication that can be given is that companies need to consider the factors of employee personality, especially when recruiting employees. Companies also need to consider aspects of job satisfaction, especially in terms of good salaries


2020 ◽  
Vol 3 (1) ◽  
pp. 40-43
Author(s):  
Retno Dwiyanti ◽  
Elfrida Khoerunnisa

Happiness at work is quite essential for every individual during the workday. However, in several institutions and companies, many employees have not achieved their happiness at work. This can be influenced by the existence of job satisfaction and low spirituality at work. This study aimed to determine job satisfaction and spirituality work on happiness at work in the Correctional Institution Class II A Purwokerto-Indonesia employees. The research method used is a quantitative approach using a questionnaire. Respondents in this study were employees who worked in the Correctional Institution Class II A Purwokerto-Indonesia, with a total of 118 employees. The instrument used is a job satisfaction scale with a reliability coefficient of 0.967, spirituality at work scale with a reliability coefficient of 0.962, and happiness at work scale with a reliability coefficient of 0.957. The data analysis method used is multiple regression analysis. The results of the analysis show that there is a significant influence on job satisfaction and spirituality at work on happiness at work for Correctional Institution Class II A Purwokerto-Indonesia employees with Fcount = 322.822; tcount = 7.069; tcount = 4.979; and the probability value sig (p) = 0.000 (p < .05). Obtained a value of R-square = 0.849, indicating that job satisfaction and spirituality at work contributed 84,9% and 15,1% were other factors outside the study.


2021 ◽  
Vol 11 (3) ◽  
pp. 471-376
Author(s):  
Yassin Eltahir ◽  
Ahmed Abdelmotlab ◽  
ElSiddig Yousif Mohammed Mousa ◽  
Fuad Yousif

The problem of this study is how to make a link between four studies, which reflect how they integrated to make one pound study, or how they are aligned together in order to explain and interept the chanalenges facing the sudan economy. So study is aggregation to four studies by using meta-analysis method which is suitable for intergrating studies with the aim of elaborating main stream focusing in how the different studies under consideration reaching same results with different methods. Hence here the study seeks for increasing the power of testing the main question of the study which is the challenge that faced the Sudan economy particularly the structural distortion of economic variables. The study gathered the results of the four mentioned studies which are almost concerned with the exchange rate. The results confirmed the structural problem which faced the Sudan economy, while meta-analysis results assured and empowered the hypothesis of the study in terms of significant effect size. Moreover, the results consolidated the similarity of the studies in manipulating the problem of this study. In addition to that the heterogeneity stems from differences in the effect size of each study rather than differences in the sample sizes of the studies. Finally the study of exchange rate volatility has greater effect size, next to the study of estimating the error correction of exchange rate model while the studies of appropriate estimator of exchange rate and profitability of commercial banks have slight and insignificant effect size. Finally the different results assure the convenientability of meta analysis in reflecting the chellenges that faced the Sudanese economy and their ramifications, then accordingly the suggested remedies which may help in tackling the matter.


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