Determination of the Relative Importance of Different Clinical Domains on the Overall Patient Satisfaction Domain Using Structural Equation Modeling

Author(s):  
H. Ye ◽  
E. Rutka ◽  
J. Robertson
2020 ◽  
Vol 15 ◽  
pp. 102-107
Author(s):  
Hunuwala Malawarage Suranjan Priyanath ◽  
Ranatunga RVSPK ◽  
Megama RGN

Basic methods and techniques involved in the determination of minimum sample size at the use of Structural Equation Modeling (SEM) in a research project, is one of the crucial problems faced by researchers since there were some controversy among scholars regarding methods and rule-of-thumbs involved in the determination of minimum sample size when applying Structural Equation Modeling (SEM). Therefore, this paper attempts to make a review of the methods and rule-of-thumbs involved in the determination of sample size at the use of SEM in order to identify more suitable methods. The paper collected research articles related to the sample size determination for SEM and review the methods and rules-of-thumb employed by different scholars. The study found that a large number of methods and rules-of-thumb have been employed by different scholars. The paper evaluated the surface mechanism and rules-of-thumb of more than twelve previous methods that contained their own advantages and limitations. Finally, the study identified two methods that are more suitable in methodologically and technically which have identified by non-robust scholars who deeply addressed all the aspects of the techniques in the determination of minimum sample size for SEM analysis and thus, the prepare recommends these two methods to rectify the issue of the determination of minimum sample size when using SEM in a research project.


2015 ◽  
Vol 27 (8) ◽  
pp. 941-950 ◽  
Author(s):  
João-Bruno Soares ◽  
Ana S. Marinho ◽  
Dália Fernandes ◽  
Bruno Moreira Gonçalves ◽  
Cláudia Camila-Dias ◽  
...  

2018 ◽  
Vol 11 (1) ◽  
pp. 111
Author(s):  
Eny Purbandari ◽  
Dyah Sugandini ◽  
Heru Tri Sutiono

<p><em>The objective of this study is to investigate the impact of price and service quality on customer satisfaction to increase words of mouth. Data were collected by distributes questionnaires to 110 patient of Bhayangkara Polda DIY Hospital. Then, data was analyzed using structural equation modeling. The result showed that service quality, price and image have positive effect on patient satisfaction and patient satisfaction has a positive effect on words of mouth. The results also shows that image have the highest effect in creating the satisfaction. Therefore, the models of words of mouth have acceptable.</em></p>


2020 ◽  
Vol 5 (1) ◽  
pp. 53
Author(s):  
Arif Rahman ◽  
Surya Perdana

<p><em>The decline in employee performance at UP PTSP Makasar District is characterized by a decreased level of service time efficiency in the area of KRK and IMB licensing. In addition, the cause of the decline in employee performance is due to the behavior of employees who like to postpone work and come late to work intentionally, and also employees lack the determination of high morale at work. The achievement of the duties of UP PTSP employees in Makasar Sub-District was not in accordance with the determined time standard. The purpose of this study was to determine the effect of the work environment and workload on the performance of UP PTSP Makasar District employees and to know the factors that had to be prioritized to become better. The data used for research is questionnaire data which is processed by the Structural Equation Modeling (SEM) method. This study analyzes the factors of work environment and workload using Structural Equation Modeling (SEM) with AMOS applications. Based on SEM output regression weights value states that there is no significant effect between work environment on employee performance. While there is a significant effect between workload on employee performance. The main priority in improving employee performance through the work environment is cleanliness in the workplace. The main priority in improving employee performance through better workloads is with work conditions at the workplace.</em></p>


Author(s):  
Sukirman Sukirman ◽  
Afifi Zaenal

The purpose of this study is to analyze the effect of understanding entrepreneurship and entrepreneurship training on interest in entrepreneurship, the effect of understanding entrepreneurship and entrepreneurship training on business productivity and the effect of interest in entrepreneurship on business productivity. The population in this study were 264 students participating in the entrepreneurship development program at Muria Kudus University. Determination of the number of samples using the Slovin formula consists of 136 students, with a side technique using proportional random sampling. Data analysis techniques using Structural Equation Modeling (SEM) with AMOS 21 software. The results showed that understanding of entrepreneurship and entrepreneurship training had a positive and significant effect on interest in entrepreneurship, understanding of entrepreneurship and entrepreneurship training had a positive and significant effect on business productivity and interest in entrepreneurship had a positive and significant effect on business productivity. interest in entrepreneurship has a positive and significant influence in mediating the understanding of entrepreneurship on business productivity. Interest in entrepreneurship has a positive influence to become an intervening in mediating entrepreneurship training on business productivity


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