Reliability analysis for multi-component systems considering stochastic dependency based on factor analysis

2022 ◽  
Vol 169 ◽  
pp. 108754
Author(s):  
Xuefeng Kong ◽  
Jun Yang ◽  
Lei Li
2021 ◽  
Vol 27 (5) ◽  
pp. 1086-1094
Author(s):  
Eun-Su An ◽  
Yong-Mi Jin

Research on the stress and loneliness felt by Hairdresser, their work immersion, and their effects on depression is as important as research on customer management and is essential for the efficient management of the beauty industry. Therefore, frequency analysis, factor analysis, reliability analysis, and regression analysis were conducted to find out the relationship between work immersion and depression of beauty workers, and a total of 295 copies were used.The results of the study are as follows.First, as loneliness increases, work immersion decreases. Second, as loneliness increases, depression increases. In order to reduce loneliness, personal time should be secured through free communication and troubleshooting through Sns and beauty communities, rest time, holidays and monthly leave guarantees, and if these improve, work immersion will increase and depression will decrease.It is expected that subsequent research will continue with various variables through age diversification and segmentation of majors in the future.


1995 ◽  
Vol 23 (4) ◽  
pp. 327-334 ◽  
Author(s):  
Paul M.W. Hackett ◽  
Lionel D. Jacobson

The paper reports the development of a 17 item questionnaire to measure the approachability of family practice consultations. Approachability is selectively taken to be a function of the ability to make an appointment and as a perception of whether the family doctor is open and approachable. One hundred and six users of family practice services, were approached on an opportunity basis and completed the questionnaire. Factor analysis and reliability analysis demonstrated the instrument to be structured by three significant factors. The factors were labelled ‘the doctor’, ‘the consultation environment’ and ‘emotions’. The questionnaire is subject to further development to allow its wider use to gauge the effects of individual consultations on patients.


2014 ◽  
Vol 63 (1) ◽  
pp. 331-345 ◽  
Author(s):  
Sanling Song ◽  
David W. Coit ◽  
Qianmei Feng ◽  
Hao Peng

Author(s):  
Jae-Wook Hwang

The purpose of this study was to develop a measurement tool for the interaction between parents and coaches of middle and high school golfers, and to verify its validity. A total of 563 parents participated in the study. Based on the results of preliminary item production, item analysis, reliability analysis, exploratory factor analysis, identification factor analysis, job uniformity analysis, and potential mean comparison analysis, the initial 70 items were constructed according to the conceptualization of parent–coach interactions. The first and second item reduction processes and preliminary surveys were conducted through expert meetings to produce the final 40 items of parent–coach interactions. After eliminating 20 items through question analysis, reliability analysis, and exploratory factor analysis, the final three factors of parent–coach interaction were extracted, and the conformity index for the middle and high school golfers’ parent-to-coach interaction tool was checked. Then, to ensure the external validity of the developed parent–coach interaction measurement tool, a construct equivalence analysis was conducted to demonstrate that the tool can be applied equally to parents and coaches. In summary, the tools for measuring the interaction between the middle and high school golfers’ parents and coaches were developed in 20 questions, three factors for communication, qualification, and support, and it was confirmed that the developed measuring tools could all be applied equally through a latent mean analysis. Parents and coaches are key variables that can affect a player’s performance; thus parents and coaches’ interaction measuring tools can be provide positive information not only for golfers but also for players of various other sports.


Author(s):  
Thi Nham Le ◽  
Chia Nan Wang ◽  
Ying Fang Huang

<span lang="EN-US">Vietnam coffee industry has been well-known over the world for many decades. However, Vietnam products do not meet Taiwan customers’ expectation, it has lead to urgent challenges for the industry. Therefore, the paper proposed the integrated approach by using exploratory factor analysis, reliability analysis and regression analysis. The results of this study were used to <a name="OLE_LINK175"></a><a name="OLE_LINK174"></a>formulate and recommend on how to improve the products of Vietnam coffee by using SPSS statistics for analysis. The major findings of this paper was found out that there are six important determinants of Taiwanese decision-making in buying coffee. In order to enhance customer satisfaction with the coffee products from Vietnam, the companies need right strategies to improve these six groups of factors. The paper contributes meaningful and helpful results to the development of Vietnam coffee industry.</span>


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