U.S. fundraisers see slight salary increase for 2019

2021 ◽  
Vol 2021 (378) ◽  
pp. 7-7
Keyword(s):  
ASHA Leader ◽  
2001 ◽  
Vol 6 (19) ◽  
pp. 1-7 ◽  
Author(s):  
Mary M. Annett
Keyword(s):  

2021 ◽  
pp. 133-141
Author(s):  
O. A. Shavandina ◽  
E. Y. Kovalenko

The article discusses the features of the formation of wages of professional athletes in the Russian Federation. Foreign and Russian researchers, analyzing the formation of contractual remuneration, come to the conclusion that the income of athletes depends on the sport, the performance of the player in the past and present, the popularity of the fans of this athlete, the country of his birth, the interest of the team in this player, his individual characteristics, the financial capabilities of the team/club, etc. To analyze the factors that affect the amount of income of athletes, an integral model is proposed, which is based on individual indicators of the athlete and financial standards that transform the corresponding personalized indicator into a monetary equivalent. In addition, the authors propose to supplement the methodology for analyzing the wage fund with indicators of the concentration of wages by the average value, entropy, and the coefficient of dispersion. The proposed analytical procedures, according to the authors, will allow the management of a sports organization to ensure the comparability of individual indicators (achievements) of an athlete with his salary, increase its transparency, smooth out the disproportions in the distribution of income within the team/club and effectively use the financial and material resources of the organization.


2019 ◽  
Author(s):  
Huynh Wynn Tran ◽  
Russell W. De Jong ◽  
Quinto Gesiotto

Abstract Background The competitiveness of internal medicine (IM) fellowships have not been well studied. Our novel competitiveness metric aims to estimate IM subspecialty fellowships entry competitiveness in a single, concise number that is easily accessible and understandable. Through this we hope to offer assistance to prospective fellowship applicants in making an educated and realistic fellowship choice. Methods Fellowship filled percentages, the percentage of applications from US medical graduates (USMGs), average matriculating USMLE Step 1 scores, and average post-fellowship salary were used to construct our metric. Procedural specialties included cardiology, pulmonary/critical care, and gastroenterology. Non-procedural specialties included hematology/oncology, rheumatology, endocrinology, infectious disease, and nephrology. Data were gathered from the National Resident Matching Program (NRMP) 2009 - 2018 reports, Medscape’s Physician Compensation Reports, and other sources used to corroborate salaries. Results 2018 procedural FCI (25.92) was higher than non-procedural (15.61). Cardiology (FCI 28.72, salary $423,000, Step 1 237.67) was the most competitive field. Hematology/oncology leads non-procedural fields in FCI (28.02), USMG percentage (60%), and salary ($363,000). Nephrology fill rates have declined from 94.8% to 60.1% despite 32% salary increase, giving it the lowest FCI (7.04). Conclusions Calculations show procedural specialties are most competitive, with cardiology at the top. Hematology/oncology leads non-procedural fields and is approaching procedural competitiveness, as evidenced by multiple factors that rival or surpass gastroenterology and pulmonary/critical care. We believe that this metric is a simple, accessible, and valid measure of competitiveness of fellowship entry and with further manipulation can be generalized to residency competitiveness.


2020 ◽  
Vol 1 (1) ◽  
pp. 16-23
Author(s):  
Abdul Sani

This study aims to determine the effect or relationship between the increase in salaries of civil servants against corruption. The method used in this research is quantitative method using statistical analysis of descriptive and analytic statistics. Data used in this research is secondary data from 2008 to 2017 obtained from Corruption Eradication Commission (KPK) and Ministry of Administrative Reform and Bureaucracy Reform (Kemenpan RB). Data analysis using linear regression. Result of data analysis that is R Square: 0.085295 indicate that there is no correlation or influence of salary increase of civil servant with corruption. While Significance F: 0.44571782 this shows that the effect of pay increases on corruption is not significant. With this research is expected to have a more comprehensive strategy in eradicating corruption.


2017 ◽  
Vol 133 (2) ◽  
pp. 993-1039 ◽  
Author(s):  
Joppe de Ree ◽  
Karthik Muralidharan ◽  
Menno Pradhan ◽  
Halsey Rogers

1976 ◽  
Vol 29 (2) ◽  
pp. 233-242 ◽  
Author(s):  
LEE DYER ◽  
DONALD P. SCHWAB ◽  
ROLAND D. THERIAULT

2019 ◽  
Vol 5 (2) ◽  
pp. 111-138
Author(s):  
Solikhin ◽  
Ali Mustofa

Abstract: Teacher professionalism is very important. Moreover, PAI teachers, because the PAI teacher profession must be able to be a role model for students. The main task of the PAI teacher is to improve morals or morals, and instill faith and devotion in the hearts of students. Basically, PAI teachers at PRIMAGANDA Jombang High S chool gave positive thinking to their professional development through various methods carried out, both from within themselves such as quality development such as attending training and others. For example, the training that has been attended by PAI teach ers, namely the Subject Teachers' Conference (MGMP), meetings between high school teachers, attending work shops or upgrading conducted by the Minister of Education and Culture, Jombang. Such an attitude gives the view that the professionalism of a Muslim teacher is not just a teacher in educating his students, but people who are obliged to remind each other that as servants of God are obliged to carry out worship that has been outlined by Him to us. Supporting factors in the development of PAI teacher prof essionalism are support from school principals and Waka curriculum. In addition, adequate facilities and infrastructure, teacher welfare (salary increase) certification allowances and awards, while the inhibiting factors are lack of funding and less time i n learning PAI.  


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