SUPPORT SERVICES LINKED TO PRIVATE INSTITUTIONS OVER PUBLIC AND FEMALE DIRECTORS OVER MALE: A STATISTICAL ANALYSIS OF SUPPORT SERVICES PROVIDED BY COLLEGES OF EDUCATION IN AMERICA

Objective: To analyze the frequency of implementation of bariatric surgery (CB) performed in "Brazil" between the years "2011 to 2019", that is, nine (09) years. Method: Exploratory, descriptive study with a quantitative approach. The data were extracted from the Brazilian Society of Bariatric and Metabolic Surgery (SBCBM). Descriptive statistical analysis was implemented. The results were presented using explanatory tables and graphs. Results: The universa of 493.212 CB performed was identified, with a mean and standard deviation of (54,801±11,300.2). The year 2019 registered the highest preponderance with 13.9% (n=68.530) and 2011 registered the lowest preponderance with 7% (n=34.629). 79.9% (n=394.101) CB were financed by Health Plans, 15.3% (n=75.624) by SUS and 4.8% (n=23.487) by private institutions. Final considerations: There was an increase in the frequency of CB records made in the analyzed geographical and historical section. Descriptors: Obesity; Morbid obesity; Bariatric surgery.

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ELEMENTS WHICH TRIGGER EMPLOYEE'S INTENTION TO DISCLOSE FRAUD VIA A WHISTLEBLOWING SYSTEM: A CASE STUDY

Jurnal Tata Kelola & Akuntabilitas Keuangan Negara ◽

10.28986/jtaken.v4i2.203 ◽

2018 ◽

Vol 4 (2) ◽

pp. 105

Author(s):

Putri Anggraini ◽

Ramadhan Nugraha Putra

Keyword(s):

Statistical Analysis ◽

Public Sector ◽

Critical Element ◽

Private Institutions ◽

System A ◽

Governmental Institutions ◽

Descriptive Statistical Analysis

Fraud is very liquid; thus, it could occur both in public sector and private institutions. The consequences of fraud could be very damaging such as the loss of assets and the ruin of a company's reputation. BPK as one of the governmental institutions in Indonesia is obliged to implement a whistleblowing system as a means to detect any fraudulent activities. It is believed that an effective whistleblowing system is likely to be credible and secure so that all employees could disclose misconducts without any hesitation. Therefore, this study aims to contribute to the novelty of the whistleblowing system which has been implemented in BPK. There are several elements to be considered in setting up a whistleblowing system namely, secrecy of the tipsters' identity, incentives, whistleblowers' protection, accessibility, training of ethical program, power owned by the addressee, the perpetrators and the potential whistleblowers, management's support as well as their response to the tips given by the employees. A questionnaire and descriptive statistical analysis are used to rank the elements from the most important to the least essential items in a whistleblowing system from the perspective of the employees in BPK. The result shows that BPK's employees consider the whistleblowers' protection as the most critical element in the system; whereas, rewards is the least factor which triggers them to blow the whistle. Those elements, however, are integral parts which complement each other in establishing an effective whistleblowing mechanism.

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Assessing Satisfaction with Selected Student Services Using SERVQUAL, a Market-Driven Model of Service Quality

NASPA Journal ◽

10.2202/0027-6014.1059 ◽

1998 ◽

Vol 35 (4) ◽

Cited By ~ 7

Author(s):

Carl A. Ruby

Keyword(s):

General Education ◽

Student Satisfaction ◽

Support Services ◽

Assessment Model ◽

Private Institutions ◽

Academic Records ◽

Market Driven ◽

General Education Courses ◽

Education Courses ◽

Study Student

The author demonstrates how the use of SERVQUAL, a market-driven assessment model adapted from business, can be used to study student satisfaction with four areas of support services hypothetically related to enrollment managment (academic records, admissions, career services, and financial aid). The sample included 748 students enrolled in general education courses at ten different private institutions.

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Influencia Del Nivel De Instrucción En La Capacidad Emprendedora

European Scientific Journal ESJ ◽

10.19044/esj.2016.v12n25p131 ◽

2016 ◽

Vol 12 (25) ◽

pp. 131

Author(s):

Mario Beltrán Apolo ◽

Andrés Pacheco Molina ◽

Bill Serrano Orellana ◽

Luis Brito-Gaona

Keyword(s):

Statistical Analysis ◽

General Population ◽

Linear Regression ◽

Significant Relationship ◽

Private Institutions ◽

Five Dimensions ◽

Level Of Education ◽

Entrepreneurial Ability ◽

Management And Development ◽

Independent Variable

This research analyzed the influence of the level of education in entrepreneurship. The study included 982 participants in Machala-Ecuador. A survey with 20 questions to help determine the entrepreneurial ability to then provide a statistical analysis through a linear regression model, analysis where the dependent variable is quantitative and the independent variable is dichotomous. The results indicate a significant relationship between the level of education and entrepreneurship, as well as in each of the five dimensions involved. It is concluded that the ability for individuals to undertake entrepreneurship is proportional to the level of education they posses. These findings may be useful for both the general population as well as public or private institutions which employ mechanisms to promote both management and development of enterprises.

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Statistical analysis of classification

Symposium - International Astronomical Union ◽

10.1017/s0074180900053420 ◽

1966 ◽

Vol 24 ◽

pp. 188-189

Author(s):

T. J. Deeming

Keyword(s):

Multivariate Analysis ◽

Statistical Analysis ◽

Classification Scheme ◽

Analytical Procedure ◽

Narrow Band ◽

Scientific Research ◽

Maximum Amount ◽

Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010013064x ◽

1992 ◽

Vol 50 (2) ◽

pp. 1202-1203

Author(s):

Gianluigi Botton ◽

Gilles L'espérance

Keyword(s):

Statistical Analysis ◽

Spatial Resolution ◽

Personal Computer ◽

Systematic Study ◽

Present Author ◽

Chemical Elements ◽

Detection Limits ◽

Research Groups ◽

Quantitative Performance ◽

Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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