scholarly journals Factors Influencing the Intention of Perinatal Nurses to Adopt the Baby-Friendly Hospital Initiative in Southeastern Quebec, Canada: Implications for Practice

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Guylaine Chabot ◽  
Marie Lacombe
Keyword(s):  
Discriminant Analysis ◽  
Linear Regression ◽  
Nursing Practice ◽  
Baby Friendly Hospital Initiative ◽  
Regression Analyses ◽  
Independent Variables ◽  
Intention To Adopt ◽  
Factors Influencing ◽  
Effective Interventions ◽  
The Relationship

Nurses play a major role in promoting the baby-friendly hospital initiative (BFHI), yet the adoption of this initiative by nurses remains a challenge in many countries, despite evidences of its positive impacts on breastfeeding outcomes. The aim of this study was to identify the factors influencing perinatal nurses to adopt the BFHI in their practice.Methods. A sample of 159 perinatal nurses from six hospital-based maternity centers completed a survey based on the theory of planned behavior. Hierarchical multiple linear regression analyses were performed to assess the relationship between key independent variables and nurses’ intention to adopt the BFHI in their practice. A discriminant analysis of nurses’ beliefs helped identify the targets of actions to foster the adoption the BFHI among nurses.Results. The participants are mainly influenced by factors pertaining to their perceived capacity to overcome the strict criteria of the BFHI, the mothers’ approval of a nursing practice based on the BFHI, and the antenatal preparation of the mothers.Conclusions. This study provides theory-based evidence for the development of effective interventions aimed at promoting the adoption of the BFHI in nurses’ practice.

scholarly journals PENGARUH REVIU RKA-K/L OLEH APIP TERHADAP EFISIENSI ALOKASI ANGGARAN KEMENTERIAN AGAMA

2019 ◽  
Vol 1 (1) ◽  
pp. 12
Author(s):  
Edy Effendi ◽  
Muhammad Imron
Keyword(s):  
Linear Regression ◽  
Simple Linear Regression ◽  
Independent Variables ◽  
Dependent Variables ◽  
Before And After ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

Research on the role of the APIP review of the Ministry/agency Work Plan and Budget document to determine the impact on the efficiency of ministry/agency spending (case study at the Ministry of Religion). The method used in this study uses simple linear regression with dummy. The use of linear regression is used to examine the relationship between independent variables (certain types of expenditure) and dependent variables (total expenditure). Whereas, dummy is used to find out before and after the APIP review is done. Throughout the author's search, this research has never been done. Based on the results of linear regression obtained, the APIP review significantly had a positive effect on official travel expenditure and honorarium but did not significantly affect building spending and equipment. Abstrak   Penelitian atas peran reviu APIP atas dokumen Rencana Kerja dan Anggaran Kementerian Negara/Lembaga untuk mengetahui dampaknya terhadap efisiensi belanja kementerian/lembaga (studi kasus pada Kementerian Agama). Metode yang digunakan dalam penelitian ini menggunakan regresi linier sederhana dengan dummy. Penggunaan regresi liner digunakan untuk meneliti hubungan antara variable independen (jenis belanja tertentu) dan variable dependen (total belanja). Sedangkan, dummy digunakan untuk mengetahui sebelum dan setelah reviu APIP dilakukan. Sepanjang penelusuran penulis, penelitian ini belum pernah dilakukan. Berdasarkan hasil regresi linier diperoleh, reviu APIP signifikan berpengaruh positif terhadap  belanja perjalanan dinas dan honorarium tetapi tidak signifikan berbengaruh terhadap belanja gedung dan alat.

Resilience in Very Advanced Ages: A Study With Centenarians

2020 ◽  
pp. 009141502092683
Author(s):  
Ana Saraiva Amaral ◽  
Rosa Marina Afonso ◽  
Daniela Brandão ◽  
Laetitia Teixeira ◽  
Oscar Ribeiro
Keyword(s):  
Health Status ◽  
Linear Regression ◽  
Life Events ◽  
Health Perception ◽  
Regression Analyses ◽  
Sociodemographic Variables ◽  
Significant Life ◽  
And Control ◽  
The Relationship

This study intends to assess the relationship between resilience in extremely long-lived individuals and sociodemographic, cognitive and health status variables, and significant life events. A selected sample of 48 centenarians (mean age = 100.8 years, SD = 1.2; 83.3% female) from two centenarian studies was considered. A resilience score covering five items (aging and usefulness, hopefulness, worryness, loneliness, and control) was considered. Multivariable linear regression analyses were conducted in order to identify predictors of resilience. No significant differences in the resilience score regarding sociodemographic variables or typology of significant life events were found. Our findings underscore that health perception (better) and pain (less frequent) were associated with higher levels of resilience. In being present in extremely long-lived individuals, resilience should be object of interest in further research.

Regression Modeling of Occupational Stress Among Workers of Unorganized Sector

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Kalpana Devi ◽  
U. V. Kiran
Keyword(s):  
Linear Regression ◽  
Occupational Stress ◽  
Working Hours ◽  
Stress Scale ◽  
Independent Variables ◽  
Brick Kilns ◽  
Dependent Variables ◽  
The Relationship ◽  
Unorganized Sector ◽  
Possible Cause

The purpose of the study is to investigate the possible cause and effect relationships between occupational stress as dependent variables, and age, working experience, number of working hours daily as independent variables. With the help of linear regression model, the relationship has been explored. The present study was conducted on the workers working in unorganized sectors at Lucknow city, India. Unorganized sector comprises of construction, chikankari, brick kilns, sanitary and ornament workers. The study adopted survey research design and a sample of 500 workers were selected for the study. The data was collected with the help of modified version of occupational stress scale developed by the Srivastava AK (1976). The findings of the study revealed that age, gender, types of work are able to explain only 54% variance of the total variance in occupational stress.

The Relationship between Career-Related Knowledge, Self-Esteem, Locus of Control, Gender and Employment Outcomes among Individuals with Learning Disabilities

2010 ◽  
Vol 41 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Lisa Marie Mathis ◽  
Richard T. Roessler
Keyword(s):  
Job Satisfaction ◽  
Learning Disabilities ◽  
Locus Of Control ◽  
Self Esteem ◽  
Regression Analyses ◽  
Employment Outcome ◽  
Independent Variables ◽  
Vocational Rehabilitation Services ◽  
And Gender ◽  
The Relationship

Data selected from the 1994-1999 Longitudinal Study of the Vocational Rehabilitation Services Program were used to examine the contribution of self-esteem, career-related knowledge, locus of control, and gender to the prediction of employment outcome experienced by individuals with learning disabilities (LD), as well as to hourly wages, weekly hours worked, and job satisfaction. Using logistic regression analyses, no independent variables studied were predictive of employment outcome for all participants (n = 240) or receiving workplace benefits for those who were employed (n = 63). Multiple regression analyses indicated that gender (p < .01) and belief in chance (p < .05) significantly predicted hourly wages for participants who were employed. Career-related knowledge was a significant (p < .05) predictor of job satisfaction.

Caries Risk Factors among Three-year Old Children in Chiba, Japan

1999 ◽  
Vol 11 (2) ◽  
pp. 109-112 ◽  
Author(s):  
Akio Tada ◽  
Yuichi Ando ◽  
Nobuhiro Hanada
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Dental Caries ◽  
Breast Feeding ◽  
Bottle Feeding ◽  
Multiple Logistic Regression ◽  
Regression Analyses ◽  
Caries Risk ◽  
Independent Variables ◽  
The Relationship

In order to predict the factors which affect the occurrence of dental caries in children after the age 18-months, we analyzed the relationship between the increment of the decayed, missing, and filled teeth (dmft) in children from 18-months to three-years of age and caries risk factors. Subjects were 392 infants who received both an 18-month-old check-up and a three-year-old check-up in Chiba city. Stepwise multiple logistic regression analyses were used to analyze the results with the increment of the dmft by various combinations of independent variables (sex, order of birth, sweets intake, beverage intake, tooth brushing and feeding). The most predictive factors for the increment of the dmft in upper anterior and molar were “breast feeding” and “bottle feeding” respectively. From these results, we concluded that bottle feeding and breast feeding were the risk factors for the increment of the dmft from the age of 18-months to three years.

scholarly journals The Effect of Phase on Paper Thickness Optimization in the Paper Recycling Process Using Recycling Machine

2020 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Fauzhia Rahmasari
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Multiple Linear Regression Model ◽  
Thickness Optimization ◽  
Recycling Process ◽  
Paper Recycling ◽  
Independent Variables ◽  
The Relationship

AbstractEfforts to manage the recycling of paper waste into new paper have been carried out in recent times. It takes a tool or machine that is able to effectively and efficiently recycle used paper into new paper. There are several factors that affect the effectiveness of paper recycling machines, one of which is the paper thickness. One method that can be used to analyze the factors that influence paper thickness in the paper production process using a paper recycling machine is regression analysis. Regression analysis is data analysis techniques in statistics that is used to examine the relationship between several independent variables and dependent variable. However, if we want to examine the relationship or effect of two or more independent variables on a dependent variable, the regression model used is a multiple linear regression model. This study purposes are to analyze the factors that influence paper thickness using a paper recycling machine using multiple linear regression and to inform the modeling about that. The results showed that the factors that affect the paper thickness optimization are destruction and press phase. AbstractUpaya pengelolaan daur ulang sampah kertas menjadi kertas baru telah banyak dilakukan pada jaman sekarang. Dibutuhkan suatu alat atau mesin yang mampu secara efektif dan efisien dalam mendaur ulang kertas bekas menjadi kertas baru. Terdapat beberapa faktor yang mempengaruhi tingkat efektifitas mesin daur ulang kertas diantaranya adalah ketebalan kertas. Salah satu metode yang dapat digunakan untuk menganalisis faktor-faktor yang mempengaruhi ketebalan kertas pada proses produksi kertas menggunakan mesin daur ulang kertas adalah analisis regresi. Analisis regresi merupakan teknik analisis data dalam statistika yang digunakan untuk mengkaji hubungan antara beberapa variabel bebas dengan variabel tidak bebas. Namun, jika ingin mengkaji hubungan atau pengaruh dua atau lebih variabel bebas terhadap satu variabel tidak bebas, maka model regresi yang digunakan adalah model regresi linier berganda. Tujuan dalam penelitian ini yaitu menganalisis faktor-faktor yang mempengaruhi ketebalan kertas menggunakan mesin daur ulang kertas menggunakan regresi linier berganda serta memberikan informasi pemodelan mengenai hal tersebut. Hasil penelitian menunjukkan bahwa faktor yang mempengaruhi keoptimalan ketebalan kertas adalah fase penghancuran dan pemadatan kertas

scholarly journals Pengaruh Debt to Equity Ratio, Firm Size dan Working Capital terhadap Return on Asset pada Perusahaan Property and Real Estate yang terdaftar di Bursa Efek Indonesia

Owner ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 593
Author(s):  
Diana Felicia ◽  
Sherlyn Margareth ◽  
Rani Rani ◽  
Enda Noviyanti Simorangkir
Keyword(s):  
Linear Regression ◽  
Real Estate ◽  
Firm Size ◽  
Research Method ◽  
Stock Exchange ◽  
Regression Analyses ◽  
Working Capital ◽  
Independent Variables ◽  
Equity Ratio ◽  
Real Estate Company

This study aims to determine if the independent variables affects dependent variable on Property and Real Estate companies on the Indonesia Stock Exchange from January to December in the period of 2015-2017. Where the independent variables are Debt to Equity Ratio, Firm Size and Working Capital. Whereas, the dependent variable is  Return on Asset. Where there are as many as 46 Property and Real Estate companies listed on the Indonesia Stock Exchange. However, the samples are examined only 35 companies in accordance with the desired criteria. This research method uses multiple linear regression analyses with the aid of SPSS 19. The results of this analysis shows in the period of 2015-2017 there is a Property and Real Estate company that on the T test Debt to Equity Ratio is partially no effect on Return On Asset, Firm Size in partial no significant effect on Return on Asset and Working Capital also partial no significant effect on Return on Asset. However, on the F test Debt to Equity Ratio, Firm Size and Working Capital simultaneously have significant effect on Return on Asset. Adjusted R Square at 0,110 or 11% which means that 11% variable Return on Asset were influenced by Debt to Equity Ratio, Firm Size and Working Capital while (100%-11%) 89% of its unexplained variable.

scholarly journals PENGARUH KOMPETENSI TERHADAP KINERJA KARYAWAN PADA PT. BANK DANAMON INDONESIA, TBK CABANG SIMPANG PASAR BAWAH

2019 ◽  
Vol 10 (3) ◽  
pp. 339-349
Author(s):  
Nana Dianita
Keyword(s):  
Performance Analysis ◽  
Linear Regression ◽  
Regression Method ◽  
Linear Regression Method ◽  
Linear Regression Equation ◽  
Simple Linear Regression ◽  
Independent Variables ◽  
Close Relationship ◽  
And Performance ◽  
The Relationship

The purpose of this study was to determine the effect of competence on the performance of employees at PT. Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah. The sample in this study were all employees at PT. Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah totaling 34 people. While the variables studied in this research is the competence and performance. Analysis of data using simple linear regression method using validity, reliability, R2 and t test. The tests are conducted to determine the relationship between the independent variables (independent variables) and dependent variable (dependent variable). Based on research results the effect of competence on the performance of employees with correlation value R = 0,656 which indicates a close relationship between the effect of competence on the performance of employees at PT. Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah. While the R-square at 0,430 which can competence has contributed of 43% to the performance of employees at . Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah. Partially acquired competence variable positive and significant effect on the performance employees at . Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah with simple linear regression equation as follows: Y = 18,342 + 0,627X significantly smaller 0,000 than alpha 0,05. The conclusion of this study that partial hypothesis between variables competence on performance employees is proven and can be accepted as true

scholarly journals MODEL PENINGKATAN KESUKSESAN KARIR OBYEKTIF DAN SUBYEKTIF PADA DOSEN PTIS (PERGURUAN TINGGI ISLAM SWASTA)

2017 ◽  
Vol 18 (2) ◽  
pp. 107
Author(s):  
Agus Abdullah
Keyword(s):  
Emotional Intelligence ◽  
Linear Regression ◽  
Intrinsic Motivation ◽  
Career Success ◽  
Statistical Processing ◽  
Independent Variables ◽  
Subjective Career Success ◽  
The University ◽  
The Relationship

The purpose of this research is to improve the objective and subjective career successlecturer at PTIS (private Islamic universities) by stimulating the emotional intelligence, intrinsicmotivation and competence. The population in this study consisted of three Islamic universities inSemarang, namely: Sultan Agung Islamic University (UNISSULA), University of Wahid Hasyim(UNWAHAS) and the University of Muhammadiyah Semarang (UNIMUS). Total questionnairesdistributed to as many as 69 respondents supported by SPSS version 20 as data processorand tools of statistical processing. This study analyzed by linear regression and regressionmoderation. The variables used are: independent variables such as emotional intelligence andintrinsic motivation, moderation variable such as competence and the dependent variable inthe form of objective and subjective career success. The results showed that there is a positiveand significant effect of emotional intelligence on objective and subjective career success andcompetence able to moderate the relationship between intrinsic motivation and career successsubjective.Keywords: Emotional Intelligence, Intrinsic Motivation, Objective Career Success, SubjectiveCareer Success.

scholarly journals Regresi Median Pada Copula Bivariat

2019 ◽  
Vol 3 (1) ◽  
pp. 07
Author(s):  
Geraldus Anggoro Rinadi ◽  
Leopoldus Ricky Sasongko ◽  
Bambang Susanto
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Median Regression ◽  
Independent Variables ◽  
Bivariate Data ◽  
Dependent Variables ◽  
Frank Copula ◽  
The Relationship

Abstrak: Analisis regresi adalah analisis yang sering digunakan dalam segala bidang yang bertujuan untuk memodelkan hubungan antara dua jenis variabel tak bebas dengan satu atau variabel bebas. Regresi linier masih memiliki beberapa kekurangan, maka dari untuk mengatasinya dengan regresi median. Copula dapat digunakan untuk mendeteksi hubungan data bivariat dengan peubah-peubah yang berbeda. Hasil penelitian menunjukkan kurva kuantil bersyarat terbaik berdasarkan MSE terkecil Data I yaitu copula Plackett sebesar 0.8650. Sedangkan nilai MSE terkecil Data II yaitu copula Gaussian sebesar 0.3954. Nilai MSE terkecil Data III yaitu copula Frank sebesar 0.5575. Terakhir, nilai MSE terkecil Data IV yaitu copula Clayton sebesar 0.3190.Abstract:  Regression analysis is an analysis that is often used in all fields which aims to model the relationship between two types of non-dependent variables with one or independent variables. Linear regression still has several drawbacks, so to overcome this by median regression. Copula can be used to detect bivariate data relations with different variables. The results showed that the best conditional curves based on the smallest MSE of Data I were Plackett copula of 0.8650. While the smallest MSE value is Data II, which is a Gaussian population of 0.3954. The smallest MSE value of Data III is Frank copula of 0.5575. Finally, the smallest MSE value is Data IV which is copula Clayton of 0.3190.

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