Assessing the Job Satisfaction of Registered Nurses Using Sentiment Analysis and Clustering Analysis

2021 ◽  
pp. 107755872110352
Author(s):  
Matthew Jura ◽  
Joanne Spetz ◽  
Der-Ming Liou
Keyword(s):  
Job Satisfaction ◽  
Registered Nurses ◽  
Sentiment Analysis ◽  
Support Services ◽  
Clustering Analysis ◽  
Multivariate Analyses ◽  
Free Text ◽  
Registered Nursing ◽  
High Satisfaction ◽  
Using Data

Job satisfaction is a critical component of the professional work environment and is often ascertained through surveys that include structured or open-ended questions. Using data from 24,543 respondents to California Board of Registered Nursing biennial surveys, this study examines the job satisfaction of registered nurses (RNs) by applying clustering analysis to structured job satisfaction items and sentiment analysis to free-text comments. The clustering analysis identified three job satisfaction groups (low, medium, and high satisfaction). Sentiment analysis scores were significantly associated with the job satisfaction groups in both bivariate and multivariate analyses. Differences between the job satisfaction clusters were mostly driven by satisfaction with workload, adequacy of the clerical support services, adequacy of the number of RN staff, and skills of RN colleagues. In addition, there was dispersion in satisfaction related to involvement in management and policy decisions, recognition for a job well done, and opportunities for professional development.

Associations Between Informal Caregivers’ Burden and Educational Level

GeroPsych ◽  
2019 ◽  
Vol 32 (1) ◽  
pp. 19-29 ◽  
Author(s):  
Monika Oedekoven ◽  
Katja Amin-Kotb ◽  
Paul Gellert ◽  
Klaus Balke ◽  
Adelheid Kuhlmey ◽  
...  
Keyword(s):  
Support Services ◽  
Educational Level ◽  
Autonomy Support ◽  
Population Survey ◽  
Multivariate Analyses ◽  
Informal Caregivers ◽  
Loss Of Self ◽  
Perceived Burden ◽  
Result Show ◽  
Care Situation

Abstract. We investigated the association between the education of informal caregivers’ (IC) and their physical and mental burden. We hypothesized that better-educated IC would have more resources available to manage the care situation and as a result show lower perceived burden. We conducted a population survey of 6,087 German residents aged 18+ years, 966 of whom reported to be IC. Results show that IC felt more often mentally than physically burdened. In the multivariate analyses, higher-educated IC did not have lower odds of feeling physically burdened than lower-educated IC, though they did have increased odds of feeling mentally burdened. The higher perceived mental burden of higher-educated IC may be related to fear of loss of self-fulfilment and autonomy. Support services should consider the mental burden of higher-educated IC and tailor their interventions accordingly.

Siblings and Illness

2011 ◽  
Vol 7 ◽  
Author(s):  
Leah Sawyer Vanderwerp
Keyword(s):  
Depressive Symptoms ◽  
Birth Order ◽  
Family Size ◽  
Multivariate Analyses ◽  
Social Role ◽  
Chronically Ill ◽  
Demographic Variables ◽  
Future Research ◽  
Mother And Child ◽  
Using Data

Using data from the National Longitudinal Survey of Youth-Mother and Child samples, I investigated the relationships among child and adolescent depressive symptoms, having a chronically ill sibling, and other child and familial demographic variables. From research on social support and social role transitions, with the Stress Process as a theoretical model, I hypothesized that children with chronically ill siblings experience more depressive symptoms. Specifically, I looked at age, gender, birth order and family size as potentially reducing the effect size of having a chronically ill sibling. Findings showed that having a chronically ill sibling is associated with demonstrating more depressive symptoms both in the bivariate and multivariate analyses. Although age, gender, birth order and family size do not interact significantly with having a chronically ill sibling in predicting depressive symptoms, they do present interesting findings about childhood depressive symptoms in general. Thus, the results of this study suggest specific and meaningful paths for future research.

The role of corporate investment in social responsible practices in the promotion of employees’ organizational citizenship behaviour

2014 ◽  
Author(s):  
Ana Patrícia Duarte ◽  
José Gonçalves das Neves
Keyword(s):  
Job Satisfaction ◽  
Organizational Citizenship ◽  
Economic Uncertainty ◽  
Socially Responsible ◽  
Organizational Survival ◽  
Current Scenario ◽  
Reducing Costs ◽  
Using Data ◽  
Airline Company

In the current scenario of economic uncertainty, where many organizations struggle harder for reducing costs while improving their competitiveness, employees’ organizational citizenship behaviours might have an enhanced importance for organizational survival and success. A model proposing that corporate engagement in internal socially responsible practices enhances employees’ job satisfaction and consequently increases employees’ extra-role behaviours was tested. Using data obtained from a sample of employees from an airline company (n=133), the model was examined and supported. We have therefore concluded that organizations may foster employees’ extra-role behaviours by investing in corporate socially responsible practices that signal corporate concern with employees and promote job satisfaction.

scholarly journals Sentiment Analysis Techniques Applied to Raw-Text Data from a Csq-8 Questionnaire about Mindfulness in Times of COVID-19 to Improve Strategy Generation

2021 ◽  
Vol 18 (12) ◽  
pp. 6408
Author(s):  
Mario Jojoa Acosta ◽  
Gema Castillo-Sánchez ◽  
Begonya Garcia-Zapirain ◽  
Isabel de la Torre Díez ◽  
Manuel Franco-Martín
Keyword(s):  
Health Care ◽  
Natural Language Processing ◽  
Natural Language ◽  
Sentiment Analysis ◽  
Transfer Learning ◽  
Language Processing ◽  
Health Care Professionals ◽  
Ground Truth ◽  
Relevant Information ◽  
Free Text

The use of artificial intelligence in health care has grown quickly. In this sense, we present our work related to the application of Natural Language Processing techniques, as a tool to analyze the sentiment perception of users who answered two questions from the CSQ-8 questionnaires with raw Spanish free-text. Their responses are related to mindfulness, which is a novel technique used to control stress and anxiety caused by different factors in daily life. As such, we proposed an online course where this method was applied in order to improve the quality of life of health care professionals in COVID 19 pandemic times. We also carried out an evaluation of the satisfaction level of the participants involved, with a view to establishing strategies to improve future experiences. To automatically perform this task, we used Natural Language Processing (NLP) models such as swivel embedding, neural networks, and transfer learning, so as to classify the inputs into the following three categories: negative, neutral, and positive. Due to the limited amount of data available—86 registers for the first and 68 for the second—transfer learning techniques were required. The length of the text had no limit from the user’s standpoint, and our approach attained a maximum accuracy of 93.02% and 90.53%, respectively, based on ground truth labeled by three experts. Finally, we proposed a complementary analysis, using computer graphic text representation based on word frequency, to help researchers identify relevant information about the opinions with an objective approach to sentiment. The main conclusion drawn from this work is that the application of NLP techniques in small amounts of data using transfer learning is able to obtain enough accuracy in sentiment analysis and text classification stages.

scholarly journals A preoperative nomogram predicts prognosis of patients with hepatocellular carcinoma after liver transplantation: a multicenter retrospective study

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dabing Huang ◽  
Yinan Shen ◽  
Wei Zhang ◽  
Chengxiang Guo ◽  
Tingbo Liang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Transplantation ◽  
Adjuvant Therapy ◽  
Validation Cohort ◽  
Multivariate Analyses ◽  
Meld Score ◽  
Blood Type ◽  
Intermediate Risk ◽  
Final Model ◽  
Using Data

Abstract Background Although criteria for liver transplantation, such as the Milan criteria and Hangzhou experiences, have become popular, criteria to guide adjuvant therapy for patients with hepatocellular carcinoma after liver transplantation are lacking. Methods We collected data from all consecutive patients from 2012 to 2019 at three liver transplantation centers in China retrospectively. Univariate and multivariate analyses were used to analyze preoperative parameters, such as demographic and clinical data. Using data obtained in our center, calibration curves and the concordance Harrell’s C-indices were used to establish the final model. The validation cohort comprised the patients from the other centers. Results Data from 233 patients were used to construct the nomogram. The validation cohort comprised 36 patients. Independent predictors of overall survival (OS) were identified as HbeAg positive (P = 0.044), blood-type compatibility unmatched (P = 0.034), liver transplantation criteria (P = 0.003), and high MELD score (P = 0.037). For the validation cohort, to predict OS, the C-index of the nomogram was 0.874. Based on the model, patients could be assigned into low-risk (≥ 50%), intermediate-risk (30–50%), and high-risk (≤ 30%) groups to guide adjuvant therapy after surgery and to facilitate personalized management. Conclusions The OS in patients with hepatocellular carcinoma after liver transplantation could be accurately predicted using the developed nomogram.

scholarly journals Unpacking the Quantifying and Qualifying Potential of Semi-Open Job Satisfaction Questions through Computer-Aided Sentiment Analysis

2021 ◽  
Author(s):  
Indy Wijngaards ◽  
Martijn Burger ◽  
Job van Exel
Keyword(s):  
Job Satisfaction ◽  
Sentiment Analysis ◽  
Text Analysis ◽  
Discriminant Validity ◽  
Added Value ◽  
Information Richness ◽  
Convergent And Discriminant Validity ◽  
Computer Aided ◽  
Satisfaction Question ◽  
Open Question

AbstractDespite their suitability for mitigating survey biases and their potential for enhancing information richness, open and semi-open job satisfaction questions are rarely used in surveys. This is mostly due to the high costs associated with manual coding and difficulties that arise when validating text measures. Recently, advances in computer-aided text analysis have enabled researchers to rely less on manual coding to construct text measures. Yet, little is known about the validity of text measures generated by computer-aided text analysis software and only a handful of studies have attempted to demonstrate their added value. In light of this gap, drawing on a sample of 395 employees, we showed that the responses to a semi-open job satisfaction question can reliably and conveniently be converted into a text measure using two types of computer-aided sentiment analysis: SentimentR, and Linguistic Inquiry and Word Count (LIWC) 2015. Furthermore, the substantial convergence between the LIWC2015 and, in particular, SentimentR measure with a closed question measure of job satisfaction and logical associations with closed question measures of constructs that fall within and outside job satisfaction’s nomological network, suggest that a semi-open question has adequate convergent and discriminant validity. Finally, we illustrated that the responses to our semi-open question can be used to fine-tune the computer-aided sentiment analysis dictionaries and unravel antecedents of job satisfaction.

Workplace disability and job satisfaction in Britain: A co-worker test?

2021 ◽  
pp. 0143831X2110142
Author(s):  
Getinet Astatike Haile
Keyword(s):  
Job Satisfaction ◽  
Negative Relationship ◽  
Organisational Culture ◽  
Seemingly Unrelated Regression ◽  
Unrelated Regression ◽  
Significant Negative Relationship ◽  
Using Data

The article examines the link between workplace disability (WD) and workplace job satisfaction (JS) using data from WERS2011. Controlling for a rich set of workplace characteristics including organisational culture, the study finds a significant negative relationship between JS and the share of disabled respondents within workplaces. Notably, Seemingly Unrelated Regression (SUR)-based analysis distinguishing between disabled and non-disabled respondents reveals that the negative relationship found is specific to non-disabled respondents. Moreover, disability equality policies are found to be significantly positively related with disabled respondents’ JS while they are negatively related with the JS of their non-disabled counterparts. The article ponders if there is a co-worker aspect to the WD–JS link and whether HR policies may need to take heed of co-worker dynamics in this respect.

Mediator Analysis of Job Satisfaction: Relationship between Servant Leadership and Employee Engagement

Metamorphosis ◽  
2018 ◽  
Vol 17 (2) ◽  
pp. 76-85 ◽  
Author(s):  
Prabhjot Kaur
Keyword(s):  
Job Satisfaction ◽  
Quantitative Analysis ◽  
Servant Leadership ◽  
Employee Engagement ◽  
Service Provider ◽  
Insurance Companies ◽  
Servant Leaders ◽  
Call Centres ◽  
Using Data ◽  
Satisfaction Relationship

Servant leaders attempt altruistically and selflessly to help others before themselves, believe in developing their followers to their greatest potential, and seek to benefit the wider community. The main purpose of the present article is to examine servant leadership as the antecedent to employee engagement, mediated by job satisfaction, in Punjab, using data from 190 employees from different service provider companies (banks, colleges, call centres, insurance companies). Quantitative analysis shows that when employees observe positive levels in servant leadership, they are fundamentally encouraged towards exercising significantly higher levels of engagement and satisfaction.

Is more always good? Over-education, job satisfaction and wages on the Czech labor market

2015 ◽  
Vol 37 (3) ◽  
pp. 403-414
Author(s):  
Raufhon Salahodjaev
Keyword(s):  
Job Satisfaction ◽  
Labor Market ◽  
Negative Impact ◽  
Labor Market Outcomes ◽  
Wage Penalty ◽  
Market Outcomes ◽  
Research Attention ◽  
Considerable Research ◽  
Significant Negative Impact ◽  
Using Data

The notion of over-education has drawn considerable research attention since the work of Freeman (1976). This study provides evidence that education match matters for labor market outcomes. Using data from the REFLEX survey, we find that over-education and over-skilling has a significant negative impact on wages and job satisfaction in the Czech labor market. Secondly, we find that the wage penalty is stronger for female respondents. In contrast, overskilled and overeducated men are more dissatisfied than women.

Gender differences on job satisfaction of the five‐star hotel employees

2012 ◽  
Vol 24 (7) ◽  
pp. 1047-1065 ◽  
Author(s):  
Derya Kara ◽  
Muzaffer Uysal ◽  
Vincent P. Magnini
Keyword(s):  
Job Satisfaction ◽  
Gender Differences ◽  
Demographic Variables ◽  
Content Type ◽  
Hotel Employees ◽  
Tourism Sector ◽  
Study Results ◽  
Job Conditions ◽  
Using Data ◽  
Personal Fulfillment

PurposeThe purpose of this research is to examine gender differences while controlling for select variables on job satisfaction using data collected from employees in the hospitality industry.Design/methodology/approachThe study was conducted on 397 employees (234 males and 163 females) in five‐star hotels in Ankara, Turkey.FindingsThe level of job satisfaction is determined by four factors: “management conditions”, “personal fulfillment”, “using ability in the job”, and “job conditions”. The study results show that significant gender differences exist with regard to the “using ability in the job” dimension of job satisfaction. After controlling such variables as age, marital status, monthly income level, education, type of department, position held, length of time in the organization, length of time in the tourism sector, and frequency of job change, most gender differences remained significant.Research limitations/implicationsThe use of hotel employees solely representing five‐star hotels may be considered a limitation of this study. The results provide information that can be utilized in understanding, maintaining, and increasing the satisfaction levels of both female and male employees. The findings indicate that fairness and equity in salary and wages are effective tools to increase the job satisfaction levels of male and female employees.Originality/valueThis study focuses on the identification of gender‐specific drivers of job satisfaction while controlling for select demographic variables. The study provides insight into employees' perceptions of certain aspects of the nature of the hospitality and tourism sector in Turkey.

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