scholarly journals Perspectives from Nurse Managers on Informatics Competencies

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Li Yang ◽  
Dan Cui ◽  
Xuemei Zhu ◽  
Qiuli Zhao ◽  
Ningning Xiao ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Nurse Managers ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Nursing Informatics ◽  
Nursing Educators ◽  
Factors Affecting

Background and Purpose. Nurse managers are in an excellent position for providing leadership and support within the institutions they serve and are often responsible for accessing information that is vital to the improvement of health facility processes and patients’ outcomes. Therefore, competency in informatics is essential. The purposes of this study are to examine current informatics competency levels of nurse managers and to identify the variables that influence these competencies.Methods. A questionnaire designed to assess demographic information and nursing informatics competency was completed by 68 nurse managers. Multiple linear regression analysis was conducted to analyze the factors influencing informatics competency.Results. Descriptive analysis of the data revealed that informatics competency of these nurse managers was in the moderate range77.65±8.14. Multiple linear regression analysis indicated that level of education, nursing administration experience, and informatics education/training were significant factors affecting competency levels.Conclusion. The factors identified in this study can serve as a reference for nurse managers who were wishing to improve their informatics competency, hospital administrators seeking to provide appropriate training, and nursing educators who were making decisions about nursing informatics curricula. These findings suggest that efforts to enhance the informatics competency of nurse managers have marked potential benefits.

scholarly journals The existence of soybean farmers and market in Solok regency

2018 ◽  
Author(s):  
Hasdi Aimon ◽  
Melti Roza Adry ◽  
Elida
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Marital Status ◽  
Multiple Linear Regression ◽  
Consumer Preferences ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Household Members ◽  
Inductive Analysis

This study aims to look at the existence of soybean farmers and markets in Solok Regency. This study was conducted in Solok Regency to 200 households. This study was analyzed using descriptive analysis that aims to see the level of consumer preferences to processed soy products in Solok Regency. Furthermore, inductive analysis was analyzed using multiple linear regression analysis with OLS method that aims to look at the determinants of the demand for processed soy products in Solok Regency. The study shows that (1) the processed soy products most in demand by the society in Solok Regency are tofu and tempeh. (2) The number of household members, education of wife and job sector of husband affect significantly on the demand for tempeh in Solok Regency, while income, marital status, education of husband and job sector of wife do not affect significantly on the demand for tempeh in Solok Regency. (3). The number of household members and job sector of husband affect significantly on the demand for tofu in Solok Regency, while income, marital status, education of husband, education of wife and job sector of wife do not affect significantly on the demand for tofu in Solok Regency.

scholarly journals Factors Affecting Company's Capability in Performing Integrated Reporting: An Empirical Evidence From Indonesian Companies

2018 ◽  
Vol 7 (2) ◽  
pp. 141
Author(s):  
Putu Sukma Kurniawan ◽  
Made Arie Wahyuni
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Institutional Ownership ◽  
Multiple Linear Regression Analysis ◽  
Managerial Ownership ◽  
Contrast Level ◽  
Integrated Reporting ◽  
Factors Affecting

<p>This study examines the factors that affect the company's capability to perform integrated reporting. The analysis used in testing the hypothesis is multiple linear regression analysis. Results show that company’s size has positive and significant connection and stakeholder’s pressure has negative and significant connection with the company’s capability in performing integrated reporting. In contrast, level of company’s profitability, company’s managerial ownership, and company’s institutional ownership did not have enough connection with company’s capability in performing integrated reporting.</p><p> </p>

scholarly journals Production Analysis of Green Mussel (Perna viridis) in Lampung Province

2020 ◽  
Vol 8 (2) ◽  
pp. 975
Author(s):  
Sulvina Sulvina ◽  
Zainal Abidin ◽  
Supono Supono
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Influential Factors ◽  
Perna Viridis ◽  
Factors Affecting ◽  
Cultivation Process ◽  
Quantitative Descriptive

This study was conducted to find out factors affecting and level of mussel production, level of efficiency of using the tools and materials in cultivation process and whether the cultivation of mussels in Pasaran. This study was analyzed using Cobb-Douglass. The study were analyzed in quantitative descriptive, multiple linear regression analysis, and analysis of efficiency. The dependent variable (Y) is the result of production of green mussels cultivation and free variables are the number of bamboos (X 1), the amount of strap (X2), grouper (X3) and labor (X4). Mussel fisherman in Pasaran NPM with Px calculated to obtain the level of efficiency of each factors of production in messels cultivation. Studies show that the most influential factors production are variable bamboo, rope and labor. While the results of analysis the level of efficiency of using tools and materials is not efficient. The number of bamboo and labor should be reduced, because it tends to be a waste and not profitable either technically or economically. The value of the return to scale of 1.22 showed cultivation mussels are on increasing return to scale.

scholarly journals Pengaruh Kepemimpinan dan Komunikasi Intern Terhadap Efektivitas Kerja Pegawai di FITK UIN Raden Fatah Palembang

2018 ◽  
Vol 3 (2) ◽  
pp. 49
Author(s):  
Rusmaini Rusmaini
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Positive Influence ◽  
Internal Communication ◽  
Work Effectiveness ◽  
Research Leadership

<em>Work effectiveness is the degree of achievement of an organization's goals based on the activities carried out. Work effectiveness is influenced by various factors including leadership, internal communication. The research objectives are: (1) to determine whether there is the influence of leadership and internal communication on work effectiveness (2) to find out how much influence leadership and internal communication have on employee work effectiveness both simultaneously and partially. The population of this study was employees of the Tarbiyah and Teacher Training Faculty of UIN Raden Fatah Palembang; it is 90 people. There are three variables studied in this study, namely: (1) leadership (2) internal communication (3) work effectiveness. Data collection methods used are questionnaires and documentation. The data analysis method used is the descriptive analysis of percentages and multiple linear regression analysis using SPSS for Windows Release 16. Based on the descriptive analysis, the percentage of leadership is 84.24% (very good category), the level of internal communication is 86% (very good category), while the level of work effectiveness is 78.78% (good category). Based on the calculation of multiple linear regression analysis also obtained F calculate of 17,234 with a significance of 0,000. Because the price of significance obtained is less than 0.05, the regression model obtained is significant. This means that the working hypothesis (Ha) is accepted, that is, there is the influence of leadership and internal communication on work effectiveness. The magnitude of the effect is simultaneously 28.4% while partially is 16% for leadership variables and 5.29% for internal communication. Based on the results of research, leadership and internal communication have a positive influence on work effectiveness. Leadership has a greater influence than internal communication.</em>

Wavelet and multiple linear regression analysis for identifying factors affecting particulate matter PM2.5 in Mumbai City, India

2019 ◽  
Vol 36 (10) ◽  
pp. 1750-1783 ◽  
Author(s):  
Vivekanand Venkataraman ◽  
Syed Usmanulla ◽  
Appaiah Sonnappa ◽  
Pratiksha Sadashiv ◽  
Suhaib Soofi Mohammed ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Control Measures ◽  
Data Set ◽  
Content Type ◽  
Factors Affecting ◽  
Significant Factors

Purpose The purpose of this paper is to identify significant factors of environmental variables and pollutants that have an effect on PM2.5 through wavelet and regression analysis. Design/methodology/approach In order to provide stable data set for regression analysis, multiresolution analysis using wavelets is conducted. For the sampled data, multicollinearity among the independent variables is removed by using principal component analysis and multiple linear regression analysis is conducted using PM2.5 as a dependent variable. Findings It is found that few pollutants such as NO2, NOx, SO2, benzene and environmental factors such as ambient temperature, solar radiation and wind direction affect PM2.5. The regression model developed has high R2 value of 91.9 percent, and the residues are stationary and not correlated indicating a sound model. Research limitations/implications The research provides a framework for extracting stationary data and other important features such as change points in mean and variance, using the sample data for regression analysis. The work needs to be extended across all areas in India and for various other stationary data sets there can be different factors affecting PM2.5. Practical implications Control measures such as control charts can be implemented for significant factors. Social implications Rules and regulations can be made more stringent on the factors. Originality/value The originality of this paper lies in the integration of wavelets with regression analysis for air pollution data.

scholarly journals Determinan Keputusan Rasional Menjadi Wajib Pajak Prioritas

2020 ◽  
Vol 1 (1) ◽  
pp. 17-40
Author(s):  
Muhammad Nur ◽  
Masdar Masud ◽  
Mursalim Mursalim
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Research Method ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The West ◽  
Rational Decisions

Penelitian ini bertujuan untuk menganalisis dan mengkaji pengaruh kualitas pelayanan, sanksi perpajakan, kecerdasan interpersonal dan reward terhadap keputusan rasional wajib pajak dengan status prioritas pada Kantor Pelayanan Pajak Pratama Makassar Barat. Metode penelitian yang digunakan dalam penelitian ini adalah Analisis deskriptif. jumlah sampel sebanyak 67 responden. Berdasarkan hasil analisis regresi linier berganda. Hasil penelitian ini menemukan bahwa kualitas pelayanan, kecerdasan interpersonal dan reward berpengaruh positif dan signifikan terhadap keputusan rasional wajib dengan dengan status prioritas sedangkan Sanksi perpajakan berpengaruh positif namun tidak signifikan terhadap keputusan wajib pajak dengan status prioritas. This study aims to analyze and examine the effect of service quality, tax sanctions, interpersonal intelligence and reward on rational decisions of taxpayers with priority status at the West Makassar Pratama Tax Office. The research method used in this research is descriptive analysis. the number of samples was 67 respondents. Based on the results of multiple linear regression analysis. The results of this study found that service quality, interpersonal intelligence and reward had a positive and significant effect on mandatory rational decisions with priority status while tax sanctions had a positive but not significant effect on taxpayer decisions with priority status.

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