scholarly journals Analysis of the Factors Influencing the Development of Integrated Circuit Industry in China Based on Regression Analysis

2020 ◽  
Author(s):  
Yong Qi ◽  
Jiao Chen
Keyword(s):  
Regression Analysis ◽  
Integrated Circuit ◽  
Factors Influencing ◽  
Integrated Circuit Industry

An Investigation on Extrinsic and Intrinsic Rewards on Employee Retention among Gen Y: A Study in Malaysian Manufacturing Companies

2020 ◽  
Vol 3 (1) ◽  
Keyword(s):  
Regression Analysis ◽  
Employee Retention ◽  
Future Research ◽  
Manufacturing Companies ◽  
Extrinsic Reward ◽  
Intrinsic Rewards ◽  
Gen Y ◽  
Intrinsic Reward ◽  
Factors Influencing ◽  
The Relationship

The aim of this study is to investigate the relationship between extrinsic and intrinsic reward on retention among Gen Y employees in Malaysian manufacturing companies. The data was collected from 113 respondents worked in manufacturing companies located in Seri Kembangan, Selangor using questionnaires. Multiple regression analysis was conducted to test the hypotheses. The results showed both extrinsic and intrinsic reward are the factors influencing retaining Gen Y in manufacturing companies. The discussion on the analysis, limitation of the study, recommendation for future research and conclusion were discussed at the end of this study. In a nutshell, it was proven extrinsic reward and intrinsic reward has contributed to the retention of Gen Y employees.

PROFESSIONAL ATTRIBUTES OF INTERNAL AUDITORS IN RIAU

2018 ◽  
Vol 3 (2) ◽  
pp. 161
Author(s):  
Satria Tri Nanda
Keyword(s):  
Regression Analysis ◽  
Audit Quality ◽  
Hypotheses Testing ◽  
Internal Auditors ◽  
Factors Influencing ◽  
Professional Attributes ◽  
Professional Care ◽  
Positive Effect

<p><em>This research aims to identify the factors influencing the audit quality of auditors at Inspektorat Provinsi Riau. The population in this research were auditor, examiner, assistant examiner, and P2UPD (Pengawas Penyelenggara Urusan Pemerintah di Daerah) in charge at the Inspectorate in Riau Province and all Inspectorates in Districts and Cities in Riau Province. A total of 290 set of questionnaire were sent and a number of 184 of questionnaires were processed. Using regression analysis conducted by SPSS, the hypotheses testing analysis results show that experience, responsiveness, professional care, executive involvement</em><em>t, planning</em><em> and auditability have significant and positive effect on audit quality. These results indicate that the higher the levels of experience, responsiveness, professional care, executive involvement and auditability of Inspectorate officials, the better the quality of audit performed by the Inspectorate Officials of Riau Province.</em></p>

scholarly journals Factors Affecting Secondary Traumatic Stress of Nurses Caring for COVID-19 Patients in South Korea

2021 ◽  
Vol 18 (13) ◽  
pp. 6843
Author(s):  
Mee Sun Lee ◽  
Sujin Shin ◽  
Eunmin Hong
Keyword(s):  
Social Support ◽  
Regression Analysis ◽  
Traumatic Stress ◽  
Secondary Traumatic Stress ◽  
Direct Care ◽  
Hierarchical Regression ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Affect Patient Care ◽  
Significant Factors

The secondary traumatic stress (STS) of nurses caring for COVID-19 patients is expected to be high, and it can adversely affect patient care. The purpose of this study was to examine the degree of STS of nurses caring for COVID-19 patients, and we identified various factors that influence STS. This study followed a descriptive design. The data of 136 nurses who had provided direct care to COVID-19 patients from 5 September to 26 September 2020 were collected online. Hierarchical regression analysis was conducted to identify the factors influencing STS. Participants experienced moderate levels of STS. The regression model of Model 1 was statistically significant (F = 6.21, p < 0.001), and the significant factors influencing STS were the duration of care for patients with COVID-19 for more than 30 days (β = 0.28, p < 0.001) and working in an undesignated COVID-19 hospital (β = 0.21, p = 0.038). In Model 2, the factor influencing STS was the support of a friend in the category of social support (β = −0.21, p = 0.039). The nurses caring for COVID-19 patients are experiencing a persistent and moderate level of STS. This study can be used as basic data to treat and prevent STS.

scholarly journals Regression Analysis on Factors Influencing Students’ Satisfaction towards Program Courses

2016 ◽  
Vol 9 (17) ◽  
Author(s):  
Nurulhaida Zakaria ◽  
Rozila Umar ◽  
Wan Husna Aini Wan Deraman ◽  
Sharifah Sakinah Syed Abd Mutalib
Keyword(s):  
Regression Analysis ◽  
Factors Influencing ◽  
Students Satisfaction

The alternative negative constructions in spoken and written Korean: Logistic regression analysis

2019 ◽  
Vol 15 (2) ◽  
pp. 419-442
Author(s):  
Beom-mo Kang
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Mixed Effects ◽  
Written Language ◽  
Regression Analyses ◽  
Relevant Factor ◽  
Factors Influencing ◽  
Frequency Of Use ◽  
Relevant Factors

AbstractAdopting quantitative corpus-based methods, this paper focuses on the alternative negative constructions in Korean, [anV] and [Vanhda]. Logistic regression analyses for a mixed-effects model were carried out on data drawn from the Sejong Korean Corpus. Certain features of the verb or adjective in negative constructions significantly affect the use of the two negative constructions. A relevant factor is register/medium (spoken or written), among other significant interactions of factors. Furthermore, the fact that frequency is consistent with other relevant factors, together with certain diachronic facts of Korean, supports the claim that frequency of use plays an important role in linguistic changes. Another finding is that, notwithstanding noticeable differences between spoken and written language, the factors influencing the use of the two negative constructions in Korean are largely similar in the spoken and written registers.

A Study about Factors Influencing the University Performance

2013 ◽  
Vol 64 (2) ◽  
Author(s):  
Rosman Md. Yusoff ◽  
Faisal Khan ◽  
Asad Mubeen ◽  
Kamran Azam
Keyword(s):  
Regression Analysis ◽  
Empirical Relationship ◽  
Decision Makers ◽  
High Tech ◽  
Data Correlation ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
University Performance ◽  
The University ◽  
The Relationship

The purpose of this study is to find out the empirical relationship and influence of Research Environment, Integration of the university with Industry, High-tech Employment and Professional & Managerial Development on the University Performance.A Questionnaire has been used to collect the data. Correlation and Regression analysis were used to determine the relationship and influence of identified dimensions over the University Performance.The findings of the study show that the identified dimensions significantly relate and influence the University Performance. This study would be helpful for the university administration while making policies to upgrade its performance. Less work has been done in Pakistan for the development of universities. This study distinctively identifies and represents the variables and their influence over the university performance. The findings increase the value of the study as it would help the decision makers at the universities to think ‘out of the box’.

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