scholarly journals Identification of key career indicators in Portuguese football players

2020 ◽  
Vol 15 (4) ◽  
pp. 533-541
Author(s):  
Ricardo Monteiro ◽  
Diogo Monteiro ◽  
Célia Nunes ◽  
Miquel Torregrossa ◽  
Bruno Travassos
Keyword(s):  
Logistic Regression Model ◽  
Descriptive Analysis ◽  
Binary Logistic Regression ◽  
Support Programs ◽  
Football Players ◽  
Binary Logistic Regression Model ◽  
Stage Number ◽  
Stage Development ◽  
Definition Of ◽  
The Relationship

The aim of this study was to describe and identify the weight of some key career indicators (KCI) on the competitive level of retirement (professional vs. non-professional) of Portuguese football players. Three thousand five hundred retired Portuguese football players born between 1950 and 1989, and registered on Portuguese Football Federation were considered in this study. Descriptive analysis and a multivariable binary logistic regression model were performed to assess the relationship between the mastery stage development variables and the competitive level of retirement of football players. The results highlighted that the KCI first senior registration level, number of seasons in mastery stage, number of total games as senior player, number of total games in retirement season, and the age of the last best result achieved contribute to explain and predict the competitive level of retirement of Portuguese football players. The tendencies identified and their impact on the competitive level of retirement could be important implications on awareness and definition of management and support programs of players’ careers.

scholarly journals Measuring Electrodermal Activity to Improve the Identification of Agitation in Individuals with Dementia

2017 ◽  
Vol 7 (3) ◽  
pp. 430-439 ◽  
Author(s):  
Catharina Melander ◽  
Jesper Martinsson ◽  
Silje Gustafsson
Keyword(s):  
Logistic Regression ◽  
Early Detection ◽  
Logistic Regression Model ◽  
Electrodermal Activity ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
People With Dementia ◽  
Assistant Nurses ◽  
Person With Dementia ◽  
The Relationship

Background: Understanding and interpreting the complexity of agitation in people with dementia is challenging. Objective: To explore whether a sensor measuring electrodermal activity (EDA) can improve the identification of agitation in individuals with dementia. Methods: Nine individuals with dementia wore a sensor that measured EDA. During the same time, assistant nurses annotated the observed behavior of the person with dementia. A binary logistic regression model was applied to assess the relationship between the sensor and the assistant nurses’ structured observations of agitation. Results: The sensor values correlated with the assistant nurses’ observations both at the time of the observation and 1 and 2 h prior to the observation. Conclusion: A sensor measuring EDA can support early detection of agitation in persons with dementia.

scholarly journals Attitudes towards participation in business development programmes

2015 ◽  
Vol 39 (1) ◽  
pp. 59-75 ◽  
Author(s):  
Saeid Abbasian ◽  
Darush Yazdanfar
Keyword(s):  
Design Methodology ◽  
Positive Attitude ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Business Development ◽  
Binary Logistic Regression Model ◽  
Firm Level ◽  
Content Type ◽  
New Evidence ◽  
The Relationship

Purpose – The aim of the study is to investigate whether there are any differences between the attitudes towards participation in development programmes of entrepreneurs who are immigrants and those who are native-born. Design/methodology/approach – Several statistical methods, including a binary logistic regression model, were used to analyse a unique, firm-level dataset collected by the Swedish Small Business Forum in October and November 2012. The dataset was based on a questionnaire composed of 60 closed questions that was completed by 531 participants representing 395 companies. Findings – Based on the analysis of 15 different attitude variables, the empirical findings are that immigrant managers/owners are more likely to show a positive attitude to participation in development programmes, in terms of nine of those attitude variables, than their native counterparts. Because there are no data about second generation of immigrants in the sample, thus, this category may have had an impact on the results. However, there is no possibility to identify any impact on the results. Originality/value – There is no prior research focusing specifically on this question, and to the authors’ knowledge, this study is the first that has attempted to deal with the issue. This study is based on a recent and unique database, and provides new evidence on the relationship between ethnicity and attitude towards participation in development programmes among entrepreneurs. Its context is different from that of prior research.

Credit constraints and Rural Migration: Evidence from Six Villages in Uttar Pradesh

2018 ◽  
Vol 15 (3) ◽  
pp. 389-398
Author(s):  
Ruchi Singh
Keyword(s):  
Credit Constraints ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Male Migration ◽  
Rural Economies ◽  
And Migration ◽  
The Relationship ◽  
The Empirical Analysis

Rural economies in developing countries are often characterized by credit constraints. Although few attempts have been made to understand the trends and patterns of male out-migration from Uttar Pradesh (UP), there is dearth of literature on the linkage between credit accessibility and male migration in rural Uttar Pradesh. The present study tries to fill this gap. The objective of this study is to assess the role of credit accessibility in determining rural male migration. A primary survey of 370 households was conducted in six villages of Jaunpur district in Uttar Pradesh. Simple statistical tools and a binary logistic regression model were used for analyzing the data. The result of the empirical analysis shows that various sources of credit and accessibility to them play a very important role in male migration in rural Uttar Pradesh. The study also found that the relationship between credit constraints and migration varies across various social groups in UP.

Could Be % MMEF and sGaw Determinant Diagnostic Parameters Between Partial Reversibility and Reversibility in Evaluating Short-Acting Bronchodilator Response?

2021 ◽  
Author(s):  
Gökhan Erdoğan ◽  
Elif Altuğ ◽  
Sacide Rana Işık ◽  
Levent Tabak
Keyword(s):  
Independent Predictor ◽  
Binary Logistic Regression ◽  
Threshold Value ◽  
Test Results ◽  
Binary Logistic Regression Model ◽  
Bronchodilator Response ◽  
Significant Difference ◽  
Post Hoc ◽  
The Relationship ◽  
Airway Conductance

INTRODUCTION: By examining the relationship between changes in maximum mild-expiratory flow( MMEF) and specific airway conductance(sGaw), parameters with the change in FEV1 when evaluating the spirometer test and the bronchodilator response, we investigated their diagnostic contribution to the bronchodilator response in those with partial responses to FEV1. METHODS: The retrospective study sample consists of data from 112 patients between Jun 1, 2019, and Feb 1, 2020 who applied to the pulmonary function laboratory with a pre-diagnosis of bronchial hyperreactivity as well as body plethysmography test performed together with the reversibility test. RESULTS: MMEF% and ▲sGaw were linearly correlated with ▲FEV1 (respectively r = 0.752; p <0.001, r = 0.611; p <0.001). While there was a significant difference between ▲MMEF% and ▲sGaw between reversible, partially reversible, and irreversible groups (P <0.001), there was no significant difference in ▲sGaw between partial reversible and reversible groups in post-hoc comparisons (P> 0.05). In the binary logistic regression model created between the partially reversible and reversible groups, demographic characteristics, MMEF% and ▲sGaw variables, ▲MMEF was an independent predictor [OR: 1.132; 95% CI (1.036-1.238), p = 0.006]. The 24% threshold for absolute reversibility or partial reversibility calculated with MMEF% was significant, indicating significance at 86.2% sensitivity and 80.8% specificity (AUC: 0.811, 95% CI: 0.686-0.936; p <0.001). This value we found defined 81% of the partially reversible group as reversible. DISCUSSION AND CONCLUSION: We observed that ▲sGaw alone didn' have a determinant contribution for determining reversibility in bronchodilator response, which showed partial reversibility with respect to FEV1 change. We believe that ▲MMEF% can be an independent predictor between these two groups and the calculated threshold value of 24% can be used as a criterion for determining the reversibility in cases where FEV1 is not determinant.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PEROLEHAN KREDIT OLEH PENGUSAHA MIKRO

2018 ◽  
Vol 4 (3) ◽  
Author(s):  
Abdul Azis Safii ◽  
Tri Suwarno
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Large Scale ◽  
Logistic Regression Model ◽  
Banking Sector ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Access To Credit ◽  
The Poor ◽  
Micro Enterprises

Abstract: The number of micro-entrepreneurs and the dominant number of micro enterprises compared to medium and large-scale enterprises in Indonesia are not balanced by the provision of access to credit and venture capital for micro businesses. This resulted in a micro-sector sector identical to the poor being vulnerable to exploitation by moneylenders who exploit the difficulties of micro entrepreneurs accessing credit from the banking sector. This study examines the factors that determine the accessibility of credit by micro entrepreneur in Bojonegoro regency. A total sum of 270 micro entrepreneurs who have applied for banking loan were sampled from the study area. With an binary logistic regression model the research resulting that education, skill on entrepreneur, and monthly net profits generated by the microenterprise are significant in determining the accessibility of microcredit. Keywords: micro entrepreneur, microcredit, credit accessibility Abstrak: Perkembangan jumlah pengusaha mikro serta dominannya jumlah usaha mikro dibandingkan dengan usaha menengah dan usaha besar di Indonesia, tidak diimbingi dengan penyediaan akses kredit dan modal usaha bagi para pelaku usaha mikro. Hal tersebut mengakibatkan sektor usaha mikro yang identik dengan masyarakat miskin rentan dieksploitasi oleh rentenir yang memanfaatkan sulitnya para pengusaha mikro mengakses kredit dari sektor perbankan. Penelitian ini menggunakan data primer yang di ambil langsung dari pengusaha mikro dengan teknik kuesioner. Analisis data dengan metode binary logistic regression mendapatkan hasil variabel yang berpengaruh signifikan terhadap akses kredit para pengusaha mikro adalah variabel usia pengusaha, laba bersih usaha tiap bulan, dan jumlah karyawan yang di pekerjakan. Kata kunci : usaha mikro, microcredit, akses kredit

scholarly journals Using the Econometric Models for Identification of Risk Factors for Albanian Smes (Case Study: Smes of Gjirokastra Region)

2021 ◽  
Vol 18 ◽  
pp. 163-170
Author(s):  
Lorenc Koçiu ◽  
Kledian Kodra
Keyword(s):  
Logistic Regression ◽  
Statistical Models ◽  
Logistic Regression Model ◽  
Qualitative Data ◽  
Linear Models ◽  
Binary Logistic Regression ◽  
Random Variable ◽  
Econometric Models ◽  
Binary Logistic Regression Model

Using the econometric models, this paper addresses the ability of Albanian Small and Medium-sizedEnterprises (SMEs) to identify the risks they face. To write this paper, we studied SMEs operating in theGjirokastra region. First, qualitative data gathered through a questionnaire was used. Next, the 5-level Likertscale was used to measure it. Finally, the data was processed through statistical software SPSS version 21,using the binary logistic regression model, which reveals the probability of occurrence of an event when allindependent variables are included. Logistic regression is an integral part of a category of statistical models,which are called General Linear Models. Logistic regression is used to analyze problems in which one or moreindependent variables interfere, which influences the dichotomous dependent variable. In such cases, the latteris seen as the random variable and is dependent on them. To evaluate whether Albanian SMEs can identifyrisks, we analyzed the factors that SMEs perceive as directly affecting the risks they face. At the end of thepaper, we conclude that Albanian SMEs can identify risk

scholarly journals The Relationship between Non-audit Services and Auditor Independence: Evidence from Chinese Listed Companies

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Xiaobo Hao
Keyword(s):  
Rapid Development ◽  
Binary Logistic Regression ◽  
Listed Companies ◽  
Auditor Independence ◽  
Binary Logistic Regression Model ◽  
Western Countries ◽  
Chinese Listed Companies ◽  
Independent Variable ◽  
The Relationship ◽  
Non Audit Services

The rapid development of non-audit services (NAS) has jeopardized the independence of auditors, which has led many Western countries to enact regulations that restrict the provision of NAS. While in China, NAS have just emerged, and its development in China is far less mature than in Western countries. The purpose of this paper is to explore whether NAS in China have damaged auditor independence and whether Chinese regulators need to emulate Western countries and strongly limit the provision of NAS. In order to achieve this objective, 213 Chinese listed companies are selected in this study. The audit opinions issued by the auditors are used as substitute variables for auditor independence (dependent variables), and the ratio of non-audit service fees to the total of audit service fees and non-audit service fees as a substitute variable for the provision of NAS (independent variable), and meanwhile some suitable control variables are also selected. Analyse these data by building a binary logistic regression model. The results show that there is no evidence in China that NAS can undermine auditor independence and there is no need for China to enact regulations to prohibit the provision of NAS.

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