scholarly journals The Effect of Good Governance Mixture in Governmental Organizations on Promotion of Employees’ Job Satisfaction (Case Study: Employees and Faculty Members of Lorestan University)

2016 ◽  
Vol 12 (5) ◽  
pp. 108
Author(s):  
Mahdi Shahin
Keyword(s):  
Job Satisfaction ◽  
Factor Analysis ◽  
Structural Equation ◽  
Good Governance ◽  
Faculty Members ◽  
Equation Modeling ◽  
Alpha Coefficient ◽  
Governmental Organizations ◽  
Confirmatory Factor

<p>The aim of this study was to evaluate the effect of indicators of good governance in public organizations to improve the level of employees’ job satisfaction. The methods were confirmatory factor analysis and structural equation modeling using LISREL software and SPSS18 packages. The population consisted of all faculty members and staff of Lorestan University (N=500), which 217 of them were selected systematically using Kerjisi Morgan table. To collect the data 2 standardized questionnaires consisted of good governance and job satisfaction (residents and Ramadan, 2011) were used and the reliability of the questionnaire was (0.73) by calculating Cronbach’s alpha coefficient. The results of the study showed that the implementation of the indicators of good governance in the organization will lead to an increase in employees’ job satisfaction.</p>

Validation of the Brazilian Version of the Job Satisfaction Survey Using Confirmatory Factor Analysis

2017 ◽  
Vol 25 (1) ◽  
pp. 46E-65E
Author(s):  
Ana Cláudia de Souza ◽  
Neusa Maria Costa Alexandre ◽  
Edinêis de Brito Guirardello
Keyword(s):  
Job Satisfaction ◽  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Equation Modeling ◽  
Satisfaction Survey ◽  
Job Satisfaction Survey ◽  
Brazilian Version ◽  
Confirmatory Factor

Background and Purpose: The purpose of this study was to evaluate the validity of the Brazilian version of the Job Satisfaction Survey (JSS) using confirmatory factor analysis supported by structural equation modeling in a sample of Brazilian nursing workers. Methods: Data from 360 nursing workers were analyzed. Confirmatory factor analysis used partial least squares structural equation modeling (PLS-SEM). Results: The results showed that the Brazilian version of the JSS presented better adjustment to the model after the removal of four items from the scale. According to confirmatory factor analysis, convergent and discriminant validities were confirmed. Conclusions: The Brazilian version of JSS showed strong evidence of construct validity through convergent and discriminant measures.

scholarly journals Job Satisfaction as a Mediator of the Impact of Meeting Effectiveness on Organizational Commitment

2020 ◽  
Vol 55 (3) ◽  
Author(s):  
Ly Dan Thanh ◽  
Bui Quang Thong ◽  
Le Van Chon ◽  
Nhu-Ty Nguyen
Keyword(s):  
Job Satisfaction ◽  
Factor Analysis ◽  
Organizational Commitment ◽  
Structural Equation ◽  
Equation Modeling ◽  
Mediating Role ◽  
Confirmatory Factor ◽  
Meeting Effectiveness ◽  
The Impact

Job satisfaction, leadership, meeting effectiveness, and organizational commitment have become the subjects of numerous research papers, due mainly to their vital roles in the development of organizations. We based our research on previous studies related to leadership, meeting effectiveness, job satisfaction, and organizational commitment and an empirical study. The authors emphasize the influence of leadership on meeting effectiveness and the impact of the mediating role of job satisfaction on the relationship between meeting effectiveness and organizational commitment, increasing more employees’ commitment to their organizations. Our research aims to show whether leadership has a positive effect on meeting effectiveness, how meeting effectiveness affects organizational commitment, and to what extent job satisfaction impacts this relationship. We used data collected in our analysis and created a questionnaire that was distributed to 249 respondents working at 34 Vietnamese organizations from a variety of sectors such as tax, banking, health service, airlines, education, and business. Using non-probability sampling with the calculation of exploratory factor analysis, confirmatory factor analysis, and structural equation modeling, the authors found that leadership significantly affects meeting effectiveness, and meeting effectiveness positively influences organizational commitment with the mediation of job satisfaction.

The NDNQI-Adapted Index of Work Satisfaction

2004 ◽  
Vol 12 (2) ◽  
pp. 101-122 ◽  
Author(s):  
Roma Lee Taunton ◽  
Marjorie J. Bott ◽  
Mary L. Koehn ◽  
Peggy Miller ◽  
Ellen Rindner ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Factor Analysis ◽  
Patient Care ◽  
Structural Equation ◽  
Work Satisfaction ◽  
Equation Modeling ◽  
National Database ◽  
Unit Level ◽  
Confirmatory Factor ◽  
On Line

The valid measurement of nurses’ job satisfaction is critical because job satisfaction is important for the retention of qualified nurses to provide patient care in hospitals. Two studies were conducted to adapt the Stamps Index of Work Satisfaction (1997b) to measure work satisfaction at the patient care unit level for use by the National Database of Nursing Quality Indicators (NDNQI). In Study 1 (n = 918 RNs) exploratory factor analysis of data obtained using the NDNQI-Adapted Index replicated the conceptual dimensions of the Stamps measure. Associations with scores on Job Enjoyment were evidence that the Index measured the intended construct. Using theta, the reliability of the composite subscales was .91. The adapted Work Satisfaction subscale scores explained 46% of the variance in Job Enjoyment, with each subscale contributing uniquely (p < .001). In Study 2 (n = 2277 RNs) confirmatory factor analysis using structural equation modeling supported the 7-subscale structure for the Adapted Index (CFI [719] = .88; RMR = .05). Replication of associations between scores on the Index subscales and Job Enjoyment provided further evidence regarding validity of the data, since the Work Satisfaction subscales explained 56% of the variance in Job Enjoyment. The feasibility of using an on-line version of the Adapted-Index for data collection was demonstrated. The findings from the two studies indicate that the adapted Index of Work Satisfaction has a structure similar to the original instrument and is a reliable and valid measure of work satisfaction at the patient care unit level.

Spoil the Rod and Save the Child: Socioeconomic Predictors of Harsh Discipline by Parents, Egyptian Case Study

2017 ◽  
Vol 32 (11) ◽  
pp. 1730-1752
Author(s):  
Nisreen Yacoub Mohammed ◽  
Yasser Abdelazim Abdelmawgoud Samak
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Economic Conditions ◽  
Equation Modeling ◽  
Harsh Discipline ◽  
Confirmatory Factor ◽  
Sociodemographic Predictors ◽  
Different Dimensions ◽  
The Impact

The purpose of this article is to investigate the use of harsh disciplinary methods by parents as corrective techniques for their children, and the resulting behavioral aspects in the affected children. Sociodemographic predictors are tested for estimating the impact of harsh disciplining by parents. A primary survey of a sample of 1,751 children 10 to 12 years of age across 12 provinces of Assiut Governorate in Egypt is considered. The analysis is carried out using exploratory factor analysis and confirmatory factor analysis. Structural equation modeling is used for testing the significance of the seven predictors. The findings show that harsh disciplining is significantly affected by the age, education level, income level, and marital status of parents. Harsh disciplining is evident for different dimensions: “beating for discipline,” “beating while children grow up,” “beating with a stick can discipline children,” and “children should not be listened to.” Some parents believe that beating will help in correcting the behavior of their children and in instilling desirable attitudes in them. This approach has ill effects, but it can only be corrected by addressing the poor economic conditions and education of the parents.

A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models

2021 ◽  
pp. 001316442110089
Author(s):  
Yuanshu Fu ◽  
Zhonglin Wen ◽  
Yang Wang
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Reliability Estimation ◽  
Model Fit ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Reliability Estimates ◽  
Confirmatory Factor ◽  
Composite Reliability

Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the method used to estimate composite reliability under ESEM and then compared the difference between ESEM and ICM-CFA in terms of composite reliability estimation under various indicators per factor, target factor loadings, cross-loadings, and sample sizes. The results showed no apparent difference in using ESEM or ICM-CFA for estimating composite reliability, and the rotation type did not affect the composite reliability estimates generated by ESEM. An empirical example was given as further proof of the results of the simulation studies. Based on the present study, we suggest that if the model fit of ESEM (regardless of the utilized rotation criteria) is acceptable but that of ICM-CFA is not, the composite reliability estimates based on the above two models should be similar. If the target factor loadings are relatively small, researchers should increase the number of indicators per factor or increase the sample size.

scholarly journals Examining the ParticipACTION brand using the brand equity pyramid

2018 ◽  
Vol 8 (4) ◽  
pp. 378-396 ◽  
Author(s):  
Alexander Lithopoulos ◽  
Peter A. Dacin ◽  
Tanya R. Berry ◽  
Guy Faulkner ◽  
Norm O’Reilly ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Brand Equity ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Equation Modeling ◽  
Content Type ◽  
Activity Promotion ◽  
Confirmatory Factor

Purpose The brand equity pyramid is a theory that explains how people develop loyalty and an attachment to a brand. The purpose of this study is to test whether the predictions made by the theory hold when applied to the brand of ParticipACTION, a Canadian non-profit organization that promotes active living. A secondary objective was to test whether this theory predicted intentions to be more physically active. Design/methodology/approach A research agency conducted a cross-sectional, online brand health survey on behalf of ParticipACTION. Exploratory factor analysis and confirmatory factor analysis established the factor structure. Structural equation modeling was used to test the hypothesized model. Findings A nationally representative sample of Canadian adults (N = 1,191) completed the survey. Exploratory factor analysis and confirmatory factor analysis supported a hypothesized five-factor brand equity framework (i.e. brand identity, brand meaning, brand responses, brand resonance and intentions). A series of structural equation models also provided support for the hypothesized relationships between the variables. Practical implications Though preliminary, the results provide a guide for understanding the branding process in the activity-promotion context. The constructs identified as being influential in this process can be targeted by activity-promotion organizations to improve brand strength. A strong organizational brand could augment activity-promotion interventions. A strong brand may also help the organization better compete against other brands promoting messages that are antithetical to their own. Originality/value This is the first study to test the brand equity pyramid using an activity-promotion brand. Results demonstrate that the brand equity pyramid may be useful in this context.

scholarly journals Modeling and Analysis of the Motivations of Fast Fashion Consumers in Relation to Innovativeness

2016 ◽  
Vol 16 (4) ◽  
pp. 205-213
Author(s):  
Canan Saricam ◽  
Nazan Erdumlu
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Motivational Factors ◽  
Equation Modeling ◽  
Fast Fashion ◽  
Modeling And Analysis ◽  
Confirmatory Factor ◽  
The Relationship

Abstract In this study, fast fashion concept is investigated in order to understand the motivations of the consumers that make them adopt these products because of their willingness for the innovativeness. The relationship between the motivational factors which were named as “Social or status image” and “Uniqueness” as expressions of individuality, “Conformity” and the willingness for “Innovativeness” is analyzed using a conceptual model. Exploratory factor analysis, confirmatory factor analysis and structural equation modeling were used to analyze and validate the model. The data used for the study was obtained from 244 people living in Turkey. The findings showed that the motivational factors “Social or status image” and “Uniqueness” as expressions of individuality are influential on the consumers’ willingness for “Innovativeness”.

scholarly journals Antecedents to Employee Attrition Behavior in Indian IT/ITES Sector

2019 ◽  
Vol 9 (1) ◽  
pp. 1132-1142
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Group Analysis ◽  
Equation Modeling ◽  
Path Coefficients ◽  
Confirmatory Factor ◽  
Career Growth ◽  
Employee Attrition ◽  
Hr Managers ◽  
The Impact

Attrition is the biggest challenges being faced by the HR managers in today’s competitive environment especially with IT/ITES sectors. The study identifies clarity, career growth and advancement, personal priorities and organizational environment as the vital antecedent factors which impacts employee attrition. Further through multi-group analysis the paper studies the impact of agile environment on the said relationships in low and high agile environment. The study uses exploratory factor analysis, confirmatory factor analysis and structural equation modeling for obatinig path linkages. In high agile group all the path linkages were highly significant and the path coefficients were stronger

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