THE EFFECT OF SAFETY CLIMATE AND CULTURE ON SAFETY PERFORMANCE: AN EXAMPLE OF A MEDICAL FACULTY HOSPITAL ABSTRACT

2021 ◽  
Vol 0 (41) ◽  
pp. 0-0
Author(s):  
Kevser TUNCER KARA ◽  
A. Ferdane OĞUZÖNCÜL
Keyword(s):  
Linear Regression ◽  
Safety Culture ◽  
Safety Climate ◽  
Linear Regression Analysis ◽  
Medical Faculty ◽  
Safety Performance ◽  
Near Miss ◽  
Occupational Accidents ◽  
Multivariate Linear Regression Analysis ◽  
Simple Linear Regression

Aim: The aim of this study was to investigate factors affecting safety climate, safety culture, safety performance, and the effect of safety climate and culture on safety performance in Fırat University Medical Faculty Hospital. Method: The population of this cross-sectional, descriptive study consisted of doctors, midwives, nurses and other medical staff (1454 people) working at Fırat University Medical Faculty Hospital. The minimum sample size of the study was calculated as 616 with a 95% confidence interval and 3% margin of error using the Epi Info program. The data were collected through a questionnaire consisting of personal information form, safety climate scale, safety culture scale and safety performance scale. The Kolmogrov-Smirnov, Man-Whitney U, Kruskal Wallis, chi-square test, ROC, internal reliability, simple linear regression and multivariate linear regression analysis were used in data analysis. Results: The median age of the participants was 31.0. Of the participants, 50.6% were women, 61.9% were married and 38.0% had graduate or higher levels of education. It was determined that those who had information on occupational accidents and diseases had higher perceptions of safety climate, safety culture and safety performance. Furthermore, safety climate, safety culture and safety performance were positively correlated. As a result of simple linear regression, it was determined that the security climate explained 12.1% and the security culture 17.6% of security performance. Conclusion: It was concluded that trainings should be increased and repeated periodically, reporting near-miss events should be facilitated. Finally, occupational health and safety unit should be established, and inspections should be increased.

scholarly journals The Effects of Safety Climate on Safety Performance: An Evidence in a Malaysian-Based Electric Electronic and Manufacturing Plant

2016 ◽  
Vol 8 (4-2) ◽  
Author(s):  
Nurul Hidayu Mat Jusoh ◽  
Siti Aisyah Panatik
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Significant Influence ◽  
Safety Climate ◽  
Linear Regression Analysis ◽  
Safety Performance ◽  
Manufacturing Plant ◽  
Simple Linear Regression ◽  
Electronic Manufacturing ◽  
Experimental Type

The current paper aimed at investigating the effects of each dimension of safety climate on safety performance in a Malaysian-based electric and electronic manufacturing plant. The study was carried out as a non-experimental type research which employed questionnaire as the method of collecting data. A total of 313 production workers from a Malaysian-based electric and electronic manufacturing plant participated in the study. The obtained data were analyzed using simple linear regression analysis. The findings of the study demonstrated that each dimension of safety climate played a significant influence on safety performance.

scholarly journals Prediction of the Main Engine Power of a New Container Ship at the Preliminary Design Stage

2017 ◽  
Vol 25 (2) ◽  
pp. 97-99
Author(s):  
Tomasz Cepowski
Keyword(s):  
Linear Regression ◽  
Parametric Design ◽  
Linear Regression Analysis ◽  
Design Stage ◽  
Multivariate Linear Regression Analysis ◽  
Container Ship ◽  
Simple Linear Regression ◽  
Preliminary Design Stage ◽  
Main Engine ◽  
Engine Power

Abstract The paper presents mathematical relationships that allow us to forecast the estimated main engine power of new container ships, based on data concerning vessels built in 2005-2015. The presented approximations allow us to estimate the engine power based on the length between perpendiculars and the number of containers the ship will carry. The approximations were developed using simple linear regression and multivariate linear regression analysis. The presented relations have practical application for estimation of container ship engine power needed in preliminary parametric design of the ship. It follows from the above that the use of multiple linear regression to predict the main engine power of a container ship brings more accurate solutions than simple linear regression.

The Contribution of Sexual Identity Towards the Students’ Perception of Lesbian, Gay, Bisexual, and Transgender

10.32698/0642 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 120
Author(s):  
Wiwi Delfita ◽  
Neviyarni S. ◽  
Riska Ahmad
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Sexual Identity ◽  
Student Perceptions ◽  
Undergraduate Students ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Simple Linear Regression ◽  
Simple Linear Regression Analysis ◽  
Bisexual And Transgender

Some students perceive lesbian, gay, bisexual, and transgender (LGBT) positively, even though LGBT is a sexual deviation that is not appropriate with values and norms. There are several factors that influence an individual's perception of LGBT, including sexual identity. This study aims at looking at the contribution of sexual identity to student perceptions about LGBT. This research used a quantitative approach with a descriptive method and a simple linear regression analysis. The sample of this research was 385 taken from 15.752 undergraduate students of Universitas Negeri Padang which the sample was drawn by using the Slovin formula and continued with a Proportional Random Sampling technique. The instrument used was the Guttman model's sexual identity scale and the scale of students' perceptions of the LGBT Likert model. After analyzing the data with the descriptive technique and the simple linear regression analysis, the results showed that sexual identity significantly contributed to the students' perceptions of LGBT. This research has implications as a basis for counselors to help students avoid sexual identity mismatches and prevent the emergence of positive perceptions of LGBT.

Pengaruh Penghargaan Terhadap Kinerja Karyawan pada CV. Dino Manunggal Karsa Bogor

2019 ◽  
Vol 4 (2) ◽  
pp. 17
Author(s):  
Dedy Mulyadi ◽  
Didik Purwanto
Keyword(s):  
Linear Regression ◽  
Performance Assessment ◽  
Correlation Coefficient ◽  
Linear Regression Analysis ◽  
Strong Relationship ◽  
Simple Linear Regression ◽  
New Employees ◽  
Company Policy ◽  
Effective Manner ◽  
Relationship Of

The question of compensation in addition to sensitive to be driving someone to worl due to an effect on morale and discipline employees. Therefore , any  agency or any organization should be able to provide compensation equal to the workload  to create a workforce that efficient and effective manner can be realized. Amaore than that, the company’s goal to improve performance. Performance assessment is a subjective process that involves human judgments. Thus, performance assessment is very likely wrong and very easily influonced by sources that are not actual, so it must be taken into account and considered reasinable. Frformance appraisals are considered  to meet the target if it has a good impact on new employees who rated their performance. Simple linear regression analysis using SPSS version 12:00 data processing obtained tegression equation Y = 0,487 X 74 + with an explanation of X = award, 74 = constant, 0.487 = coefficient awards, and Y = performance based on simple linear regression equation in case of increase of one unit of the  performance award will be increased 0.487 units. If company policy negates the performance award will remain at a constant rate (74) units . (A) Test results obtained thitung significant constants of (12.574) > t table for (1.960 then reject Ho constanta significant meaning. (B) significant Test award coefficient t count the results obtained by (2.164)> t table foe (1.96) then reject Ho the mean coeffent of appreciation affect the performance . (C) correlation coefficient analysis is done by calculating the product moment corration (pearson)  to test  whether or not a strong  relationship between the variables X  dan Y , based on the results of cakculations with SPSS  table valuse obtained by calculating the  correlation coefficient r (0.3100> r on the table for a = 0,05 (0.291) then reject Ho, which means there is a relationship of respect for performance. When we enter these valuse in the table shows the interpretation of the correlation coefficient between the interval from 0.20 to 0.399 which has a low relationship

PENGARUH INTELLECTUAL CAPITAL TERHADAP KINERJA KEUANGAN PADA PERUSAHAAN BARANG KONSUMSI YANG TERDAFTAR DI BEI TAHUN 2015-2017

2019 ◽  
Vol 3 (2) ◽  
pp. 26
Author(s):  
Niken Ayu Wulandari ◽  
Tegoeh Hari Abrianto ◽  
Edi Santoso
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Financial Performance ◽  
Intellectual Capital ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Simple Linear Regression ◽  
Return On Equity ◽  
Asset Turnover

This research to analyze and evaluate intellectual capital on financial performance obtained by return on equity, asset turnover and growth in revenue. The population in this study are consumer goods companies listed on the Stock Exchange in 2015-2017. The research sample was received by 21 companies obtained by using purposive sampling technique. The analytical method used is simple linear regression analysis with the SPSS version 20 application and uses the VAICTM method to measure intellectual capital. The results of this study indicate that intellectual capital has a significant effect on financial performance generated by return on equity, but intellectual capital does not have a significant effect on financial performance required by asset turnover and growth in revenue.

scholarly journals Trends in the Retinal Nerve Fiber Layer Thickness Changes with Different Degrees of Visual Field Defects

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Wenhui Geng ◽  
Dabo Wang ◽  
Jing Han
Keyword(s):  
Regression Analysis ◽  
Visual Field ◽  
Linear Regression ◽  
Nerve Fiber ◽  
Retinal Nerve Fiber Layer ◽  
Linear Regression Analysis ◽  
Simple Linear Regression ◽  
Fiber Layer ◽  
Simple Linear Regression Analysis ◽  
Rnfl Thickness

Purpose. To explore the disease progression of primary open-angle glaucoma (POAG) in individuals with different degrees of VF defects by analyzing the trends in retinal nerve fiber layer (RNFL) changes at each stage. Methods. A total of 39 patients (77 eyes) were divided into three groups based on the severity of glaucomatous visual field (VF) loss: the first group included patients with mild baseline VF defects (mild group; n = 21 eyes). The second group included patients with moderate VF defects (moderate group; n = 18 eyes). The third group included patients with severe baseline VF defects (severe group; n = 38 eyes). For all patients, slit-lamp biomicroscopy of the anterior and posterior segments and detailed fundus and optic disc inspections were performed, the intraocular pressure (IOP) was measured by Goldman tonometry, best-corrected visual acuity (BCVA) was measured, the RNFL thickness was measured by OCT, and the VF was assessed by the Octopus perimeter. All the groups were followed up postoperatively for 18 months. Results. The mean RNFL thickness was recorded for all the visits. Using simple linear regression analysis, we found that the R2 values of the three groups were 0.988, 0.982, and 0.814, respectively, and the slopes of mean RNFL thickness changes for mild, moderate, and severe baseline VF defects were −0.088, −0.082, and −0.015, respectively. Moreover, we used simple linear regression analysis to explore whether and how the speed of RNFL thinning differs across groups. The R2 values of the three groups were 0.982, 0.978, and 0.805, respectively, and the slopes for mild, moderate, and severe baseline VF defects were 0.089, 0.085, and 0.017, respectively. Conclusion. The rate of RNFL thinning is linear; RNFL thinning is the fastest in individuals with mild baseline VF defects, followed by those with moderate baseline VF defects. In individuals with severe VF defects, changes in the RNFL thickness do not appropriately reflect the progression of the disease. The clinical trial is registered with ChiCTR2000028975.

scholarly journals 2011. Reaction of Clinicians to Positive Respiratory Viral Panels in Non-critically Ill Patients Without Bacterial Infection

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S675-S675
Author(s):  
Jason C Gallagher ◽  
Sara Lee ◽  
Leah Rodriguez ◽  
Jacqueline Emily Von Bulow ◽  
Kaede Ota Sullivan
Keyword(s):  
Linear Regression ◽  
Bacterial Infection ◽  
Linear Regression Analysis ◽  
Solid Organ Transplantation ◽  
Retrospective Chart Review ◽  
Multivariate Linear Regression ◽  
Antibiotic Prescribing ◽  
Antibiotic Administration ◽  
Multivariate Linear Regression Analysis ◽  
Solid Organ

Abstract Background Respiratory viral panels (RVPs) can detect multiple viral pathogens and give clinicians diagnostic confidence to discontinue antibiotics. However, relatively little is known about how these tests influence antibiotic prescribing in hospital settings. Methods This was a 26-month retrospective chart review of patients with positive RVPs. Hospitalized adults receiving antibiotics at the time of the RVP were included. Exclusion criteria were: ICU care, solid-organ transplantation (SOT), positive RVP for influenza, positive bacterial cultures, and antibiotic administration for bacterial infection (e.g., cellulitis). A multivariate linear regression model was created to investigate associations with longer antibiotic use after a positive RVP. Results 1,346 patients were screened and 242 met inclusion criteria. Primary reasons for exclusion were SOT, ICU, and influenza diagnosis. Patients were a median age of 60.5 years [IQR 51,70] and 35.5% were men. The median length of stay (LOS) was 4 days [IQR 3.6]. 233 patients (6.3%) had chest radiology performed, of which 71 (30.4%) had possible pneumonia noted. 50 (20.7%) were immunocompromised (IC). 199 (82.2%) had a history of pulmonary disease, most commonly COPD. Rhinovirus was isolated in 156 patients (64.5%), followed by metapneumovirus (35, 14.9%) and RSV (32, 13.3%). Antibiotics were given for a median total of 3 days [IQR 3.6]; they were discontinued within 24 hours of the RVP result in 107 patients (44.2%). Conclusion In this population of patients with viral infection and no discernable bacterial infection, 44.2% of patients had antibiotics discontinued within 24 hours of RVP results. On multivariate linear regression analysis, younger age, longer LOS, and IC status were associated with longer antibiotic duration after a positive RVP. A comparison with patients with negative RVP results could reveal if the test prompted discontinuation. Disclosures All authors: No reported disclosures.

Correlation between FA and ADC, number and length of the periprostatic neurovascular fibers

2021 ◽  
pp. 039156032110637
Author(s):  
Valerio Di Paola ◽  
Angelo Totaro ◽  
Giacomo Avesani ◽  
Benedetta Gui ◽  
Andrea Boni ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Negative Correlation ◽  
Multivariate Regression ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Independent Variables ◽  
Fiber Tracts ◽  
Good Agreement

Purpose: Our aim was to explore the relation between FA and ADC, number and length of the periprostatic neurovascular fibers (PNF) by means of 1.5 T Diffusion Tensor Imaging (DTI) imaging through a multivariate linear regression analysis model. Methods: For this retrospective study, 56 patients (mean age 63.5 years), who underwent 1.5-T prostate MRI, including DTI, were enrolled between October 2014 and December 2018. Multivariate regression analysis was performed to evaluate the statistically significant correlation between FA values (dependent variable) and ADC, the number and the length of PNF (independent variables), if p-value <0.05. A value of 0.5 indicated poor agreement; 0.5–0.75, moderate agreement; 0.75–0.9, good agreement; 0.61–0.80, good agreement; and 0.9–1.00, excellent agreement. Results: The overall fit of the multivariate regression model was excellent, with R2 value of 0.9445 ( R2 adjusted 0.9412; p < 0.0001). Multivariate linear regression analysis showed a statistically significant correlation ( p < 0.05) for all the three independent variables. The r partial value was −0.9612 for ADC values ( p < 0.0001), suggesting a strong negative correlation, 0.4317 for the number of fiber tracts ( p < 0.001), suggesting a moderate positive correlation, and −0.306 for the length of the fiber tracts ( p < 0.05), suggesting a weak negative correlation. Conclusions: Our multivariate linear regression model has demonstrated a statistically significant correlation between FA values of PNF with other DTI parameters, in particular with ADC.

Effect of Product Turnover on Company Performance of SMEs

2021 ◽  
Vol 1 (3) ◽  
pp. 115-119
Author(s):  
Agus Sobar ◽  
Asep Deni ◽  
Riki Riswandi ◽  
Dendi Zainuddin Hamidi ◽  
Indra Permadi
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Small And Medium Enterprises ◽  
Linear Regression Analysis ◽  
Measurement Model ◽  
Industrial Sector ◽  
Company Performance ◽  
Simple Linear Regression ◽  
Medium Enterprises ◽  
Positive Effect

Research related to the effect of product turnover on the performance of companies in the industrial sector is still needed to do research and study in depth. This is needed because the developed sector, especially related to product rotation, has an important role in advancing the sustainability of the company. The research methodology in this research is descriptive quantitative using simple linear regression analysis and using SPSS v 23 and Amos v 23 software as a calculation tool through a measurement model using simple Linear Regression at 87 MSMEs in Sukabumi City. The results of this study indicate a positive effect of product turnover on the performance of Small and Medium Enterprises.

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