PREDICTING DROPOUTS OF UNIVERSITY FRESHMEN: A LOGIT REGRESSION ANALYSIS

1984 ◽  
Vol 22 (1) ◽  
pp. 74-82 ◽  
Author(s):  
Y.L. JACK LAM
Keyword(s):  
Regression Analysis ◽  
Logit Regression

Parameters of autonomic regulation in patients with focal frontal and temporal epilepsy

2021 ◽  
Vol 29 (1) ◽  
pp. 45-53
Author(s):  
Julia I. Medvedeva ◽  
Roman A. Zorin ◽  
Vladimir A. Zhadnov ◽  
Michael M. Lapkin
Keyword(s):  
Regression Analysis ◽  
Temporal Lobe Epilepsy ◽  
Evoked Potentials ◽  
Temporal Lobe ◽  
Focal Epilepsy ◽  
Autonomic Regulation ◽  
Control Group ◽  
Temporal Epilepsy ◽  
Logit Regression ◽  
Autonomic Support

Aim. This study aimed to investigate the mechanisms of autonomic regulation and autonomic support in focal frontal and temporal lobe epilepsy. Materials and Methods. Thirty-six individuals were examined (19 men and 17 women; mean age 33.71.4 years) in the control group (without history of epileptic seizures) and 68 patients (32 men and 36 women, 34.11.5 years) with focal epilepsy (36 patients with frontal lobe epilepsy, of which 32 had temporal lobe epilepsy). Physiological parameters of heart rate variability and of skin sympathetic evoked potentials were evaluated. Results. Predomination of sympathetic influences in both groups of patients was found. According to the analysis of skin sympathetic evoked potentials, a high activity of the suprasegmental autonomic centers was determined in patients with epilepsy. Based on the results of the correlation analysis, the initial state in patients with temporal lobe epilepsy was characterized by greater intrasystemic tension that reflects the high level of physiological costs. The logit regression analysis model makes it possible to distribute patients with focal epilepsy into groups with different disease courses on the basis of the parameters of the autonomic support of the activity. Conclusion. In patients with focal epilepsy, predomination of sympathetic influences was observed, as well as greater activity of the suprasegmental centers of the autonomic regulation. Intrasystemic ratios of autonomic regulation parameters demonstrate an increase in the intrasystemic tension and a limitation of functional reserves in patients with temporal lobe epilepsy. A complex of parameters of autonomic support allows, based on the logit regression analysis, to distribute patients into groups with different courses of focal epilepsy.

scholarly journals Factors affecting farmers’ decisions in changing agribusiness sector: case study of Japan Internship Program alumni

2021 ◽  
Vol 306 ◽  
pp. 02009
Author(s):  
Ahmad Zainuddin ◽  
Ahmad Syariful Jamil ◽  
Resti Prastika Destiarni ◽  
Hidayat Hidayat
Keyword(s):  
Regression Analysis ◽  
Factors Affecting ◽  
Logit Regression ◽  
Business Experience ◽  
Motivation Level

Since 1984, the Japan internship program has been implemented to increase the capacity and income of young farmers in Indonesia. The existence of internship activities has changed the mindset and abilities of farmers in their farming organizations, even some of the trainee had changed their agribusiness sector when this program had ended. The purpose of this study was to identify factors that influenced farmers’ decisions in changing their agricultural businesses after the Japaninternship program. This research was conducted in East Java Province, Indonesia from September 2020 to February 2021. The farmers were selected purposively as many as 34 people. Data were analyzed using logit regression analysis. The results of the analysis showed that the factors that significantly influenced farmers’ decisions to change the type of agribusiness sector were the motivation level in the business, business experience, the existence of business license, presence of business brands, and participation in agricultural institutions. The existence of Japaninternshipactivities has changed the mindset of farmers to better manage their businesses. In addition, some farmers have even changed their agribusiness sector to a more profitable business.

scholarly journals PERSEPSI PETANI TERHADAP TEKNOLOGI INFORMASI DAN PENGARUHNYA TERHADAP PERILAKU PETANI PADA RISIKO HARGA KENTANG

Agrika ◽  
2020 ◽  
Vol 14 (2) ◽  
pp. 125
Author(s):  
Wenny Mamilianti
Keyword(s):  
Information Technology ◽  
Regression Analysis ◽  
Analytical Method ◽  
Price Risk ◽  
Access To Information ◽  
Market Information ◽  
Production Risk ◽  
Logit Regression ◽  
Technology Analysis ◽  
Potato Price

ABSTRAKTujuan dari penelitian ini adalah (1) mengetahui persepsi petani kentang terhadap penggunaan teknologi informasi dan (2) menganalisis pengaruh penggunaan teknologi informasi dan faktor-faktor lain terhadap perilaku petani pada risiko harga kentang. Penelitian dilakukan di Kabupaten Pasuruan dengan responden berjumlah 183 orang. Metode analisis yang digunakan adalah metode tabulasi data untuk menggambarkan persepsi petani terhadap teknologi informasi. Analisis untuk mengetahui pengaruh teknologi informasi dan faktor lain terhadap risiko produksi adalah analisis regresi logit. Hasil menunjukkan bahwa teknologi informasi bermanfaat dalam kegiatan usahatani kentang khususnya untuk informasi harga dan pasar. Faktor-faktor yang berpengaruh terhadap sikap petani pada risiko harga adalah usia, harga sebelumnya, harga saat ini dan penggunaan teknologi informasi. Teknologi informasi sangat bermanfaat bagi petani dataran tinggi khususnya petani kentang yang terbatas akan akses informasi sehingga perlu adanya penyediaan sarana prasarana yang memadai untuk kemudahan penggunaan teknologi informasi. Perlu ada sarana yang menyediakan informasi harga dan pasar secara terbuka untuk petani. ABSTRACTPurpose of this study is (1) to determine the perception of potato farmers on the use of information technology, and (2) to analyze the effect of the use of information technology and other factors on farmer's behavior on the potato price risk. The study was conducted in Pasuruan Regency with 183 respondents. The analytical method used is the data tabulation method to describe farmers' perceptions of information technology. Analysis to determine the effect of information technology and other factors on production risk is logit regression analysis. The results show that information technology is beneficial in potato farming activities especially for price and market information. The factors that influence the attitude of farmers to price risk are age, previous prices, current prices and the use of information technology. Information technology is very beneficial for highland farmers, especially potato farmers, who are limited in access to information, so there is a need to provide adequate infrastructure to facilitate the use of information technology. There needs to be a means that provides information on prices and markets openly for farmers. 

scholarly journals Predictors of poor outcome in treatment of patients with pyoinflammatory otogenic and rinosinusogenic intracranial complications

2017 ◽  
Vol 176 (3) ◽  
pp. 14-20 ◽  
Author(s):  
A. A. Krivopalov ◽  
Yu. K. Janov ◽  
A. Yu. Shcherbuk ◽  
Yu. A. Shcherbuk ◽  
A. N. Rubin ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Medical Care ◽  
Russian Federation ◽  
Preoperative Period ◽  
Lethal Outcome ◽  
Logit Regression ◽  
Number Of Factors ◽  
Specialized Care ◽  
Intracranial Complications ◽  
The Russian Federation

OBJECTIVE. The authors would like to reveal preoperative and intraoperative predictors of lethal outcome in patients with otogenic and rhinosinusogenic pyoinflammatory intracranial complications. The study assessed an efficacy of specialized medical care of this category of patients. MATERIAL AND METHODS. Тhis research included 303 patients (199 (65,68 %) men and 104 (34,32 %) women) aged from 39,3 ± 17,4 years on average who underwent operation concerning intracranial pyoinflammatory oto- and rinosinusogenic complications in multidisciplinary hospitals of different subjects of the Russian Federation at the period from 2000 to 2014. RESULTS. Multiple logit regression analysis of predictors of lethal outcome showed the presence of higher number of factors and errors which influenced on treatment during preoperative period. These factors and errors caused an extension of preoperative period and increase of unfavorable outcome. CONCLUSIONS. While planning the management of primary and specialized care, doctors should take into account the identified predictors for patients of this category.

Depression affecting work performance: gender differentials across occupations

2014 ◽  
Vol 35 (3) ◽  
pp. 250-266 ◽  
Author(s):  
Pablo Arocena ◽  
Imanol Nuñez
Keyword(s):  
Regression Analysis ◽  
Design Methodology ◽  
Work Performance ◽  
Explanatory Variable ◽  
Gender Effect ◽  
Men And Women ◽  
Content Type ◽  
Gender Differentials ◽  
Logit Regression ◽  
The Uk

Purpose – The purpose of this paper is to study the incidence of depression affecting work (DAW) performance and estimates gender differences across occupations. Design/methodology/approach – Using Labor Force Survey data from the UK in 2007, the authors first decompose the differential on the aggregate incidence rate of DAW between men and women into two components: the gender effect and the occupational effect. Then, the authors identify the stressors of DAW by means of a logit regression analysis. Findings – The empirical results show that gender is not a significant explanatory variable of DAW. Further, when differences are analyzed for each gender separately, results show that the effect of occupations is stronger within females than within males. Originality/value – Most of previous studies focus on occupational causes of depression. By contrast, this paper investigates the effect of depression on work performance.

Economic Pessimism and Racial Discrimination in Brazil

2017 ◽  
Vol 48 (7) ◽  
pp. 675-697 ◽  
Author(s):  
Gladys Mitchell-Walthour
Keyword(s):  
Regression Analysis ◽  
Racial Discrimination ◽  
Black Politics ◽  
Well Being ◽  
Economic Situation ◽  
Ordered Logit ◽  
National Data ◽  
Logit Regression ◽  
History Of ◽  
Economic Well Being

When studying Black politics, Brazil is an important country to consider because of its large Afro-descended population, its history of slavery, and persistent racial and economic inequality. In this article, I examine the role perceptions of racial discrimination play on the economic well-being of the Black Afro-Brazilian population. I test the hypothesis that, as Afro-Brazilians’ perceptions of racial discrimination increase, the more likely it is they will hold a pessimistic view of their economic situation. I rely on 2010 national data to conduct an ordered logit regression analysis which shows that Black and Brown Brazilians who have experienced racial discrimination are more likely to be pessimistic about their economic situation when compared with Blacks and Browns who have not experienced racial discrimination. In addition, ordered logit regression analysis demonstrates that respondents who admit experiencing racial discrimination are more likely to be women, identify as preto, and have more education.

Multi-Classification Combination Algorithm Based on Logit Model and Support Vector Machine

2013 ◽  
Vol 734-737 ◽  
pp. 2978-2982 ◽  
Author(s):  
Xin Lei Zhang ◽  
Meng Gang Li ◽  
Zuo Quan Zhang
Keyword(s):  
Principal Component Analysis ◽  
Support Vector Machine ◽  
Regression Analysis ◽  
Logit Model ◽  
Prediction Accuracy ◽  
Principal Component ◽  
Composite Indicator ◽  
Support Vector ◽  
Logit Regression ◽  
Multi Classification

According to the basic theories of Logit regression analysis and support vector machine, this article involves improved multi-classification combination algorithm. When applying this model, there are some innovations. First, choose optimized composite indicator as a variable through principal component analysis and get more information. Second, introduce Logit parameter model to the quadratic to increase prediction accuracy. Third, put forward a multi-classification combination model of improved Logit model with SVM to increase prediction accuracy.

scholarly journals ANALISA FAKTOR-FAKTOR RASIO KEUANGAN TERHADAP PERAMALAN TARGET TAKEOVER TAHUN 2005

2008 ◽  
Vol 8 (2) ◽  
pp. 167
Author(s):  
HOTMAN T. POHAN
Keyword(s):  
Regression Analysis ◽  
Discriminant Analysis ◽  
Probability Model ◽  
The Other ◽  
Negative Sign ◽  
Positive Sign ◽  
Logit Regression ◽  
Other Hand ◽  
A Company

<p class="Style1"><strong><em>This research intend to continue last research about takeover and Q ratio that using discriminant </em></strong><strong><em>analysis.ln this research discriminant analysis connot be applied because it does not fulfill the assumption,therefore the analysis in this research uses logit regression analysis. By using logit regression analysis,writer get model that has been tested its validity and hypothesis of this research </em></strong><strong><em>can be proved.The hypothesis is that certain ratio can predict the possibility of taking over company </em></strong><strong><em>target.By cutting 5O% off ,a company can be concluded and classified wether it deserves or not to </em></strong><strong><em>be taken over. Ebitda to sales on behalf DER and CFO to sales ratio has positive sign in logit </em></strong><strong><em>regression probability model,it means that EBITDA to sales enhance the probability of taking </em></strong><strong><em>over On the other hand, ROE and PBV ratio have negative sign in this model,it means that these ratio lessen the probability of taking over.</em></strong></p><p class="Style1"><strong><em>Keywords: takeover, q ratio, logit regression probability model</em></strong></p>

scholarly journals DETERMINANTS OF UTILIZATION AND PARTICIPATION IN THE COLLECTION AND SALES OF FOREST PLANT LEAVES IN OGUN STATE, NIGERIA

2017 ◽  
Vol 17 (1) ◽  
pp. 25-35
Author(s):  
S. D, IDOWU ◽  
S. A. OLUWALANA ◽  
S. MOMOH ◽  
S. A. OLUWALANA ◽  
A. O. IDOWU
Keyword(s):  
Regression Analysis ◽  
Sampling Procedure ◽  
Descriptive Statistics ◽  
Structure Questionnaire ◽  
Plant Leaves ◽  
Logit Regression ◽  
Ogun State ◽  
Net Profit ◽  
And Gender ◽  
Multistage Sampling

Determinants of participation in the collection and sales of forest plant leaves in Ogun state were investigated. Multistage sampling procedure was employed to select three hundred (300) respondents for the study. A structure questionnaire was used to elicit information from the respondents. Data obtained were analyzed using descriptive statistics, logit regression and budgetary analysis. The logit regression analysis results showed that the likelihood of utilization of the forest plant leaves is significantly determined by nature of the respondents occupation (farming and NTFPs) and their household size while the likelihood of participation in the collection and sales of forest plant leaves is significantly determined by nearness to the forest plant leaves, income realized from the leaves and gender. Sales of leaves were profitable with an average net profit of N14,179.17/month/respondent. Enlighten programs on forest plant leaves activities as means of livelihood and alleviation of poverty should be embarked upon for rural folks.  

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