scholarly journals Factors Affecting Childhood Immunisation in Bangladesh

2001 ◽  
Vol 40 (1) ◽  
pp. 57-70 ◽  
Author(s):  
Soma Chowdhury Biswas ◽  
Md. Abu Darda ◽  
Md. Fasiul Alam
Keyword(s):  
Contraceptive Use ◽  
Economic Condition ◽  
Multinomial Logistic Regression ◽  
Important Variable ◽  
Childhood Immunisation ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
Independent Variables ◽  
Mother’S Age ◽  
Age At Birth

This study has examined the coverage of childhood immunisation and tried to identify the factors affecting the acceptance of immunisation practice among children in Bangladesh using the data from Bangladesh Demographic and Health Survey (BDHS) 93-94. Results from multinomial logistic regression analysis indicate that education, occupation, household economic condition, mother’s age at birth, sex of child, mother’s TT immunisation acceptance, mother’s health facility visit, health worker’s visit to mothers, and contraceptive use are the independent variables that have statistically significant association with immunisation acceptance. The most important variable identified is the health worker’s visit to mothers.

scholarly journals Youth Underemployment in Sulawesi

2021 ◽  
Vol 4 (1) ◽  
pp. 37
Author(s):  
Ahmad Ayis ◽  
Lilik Sugiharti
Keyword(s):  
Labor Market ◽  
Multinomial Logistic Regression ◽  
Young Population ◽  
Micro Data ◽  
Labor Market Conditions ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
Independent Variables ◽  
Occupational Characteristics ◽  
The Individual

Underemployment provides a picture of the imperfection of the labor market which causes the capacity of the workforce to be unable to be optimally utilized. Many studies state that young workers are very vulnerable to being underemployed. Youth is the driving force of a country's economic development, so the labor problems inherent in youth must be resolved properly. This study aims to analyze the factors affecting underemployment among young people in Sulawesi Island. The data used in this research is SAKERNAS August 2019 data. The method of analysis used is multinomial logistic regression analysis, where the independent variables of this study are variables related to the individual and occupational characteristics of the young population. This research shows that there are differences in the factors that affect underemployment of young men and women, especially in education and business. The weakness of this research is the unavailability of micro data that can describe labor market conditions.

scholarly journals ANALYSIS OF BITCOIN'S IMPACT ON USERS AND THEIR IMPACT ON THE VALUE OF THE RUPIAH AND THE ROLE OF THE GOVERNMENT IN THE PRESENCE OF BITCOIN

2021 ◽  
Vol 2 (2) ◽  
pp. 337-345
Author(s):  
Cut Nova Rianda
Keyword(s):  
Multinomial Logistic Regression ◽  
Financial System ◽  
Secondary Data ◽  
Role Of Government ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
State Management ◽  
The World ◽  
The Government

Bitcoin has a peer to peer system that is in contrast to financial system by eliminating third parties in transactions. Countries in the world have different positions on Bitcoin, there are countries that are accept, reject or not both, so that understanding is needed more in depth to the factors that determine the position of the country above Bitcoin. This study aims to look for the influence of the development of Bitcoin, the performance of fiat money and the governance systems of countries in the world in determining its position on the legality of Bitcoin. Theories and concepts used inside this research is the international financial system and the state management system; with a quantitative approach as well as multinomial logistic regression analysis supported with secondary data. The results of the analysis in this study revealed that of the nine factors affecting the country's top position Bitcoin; it's just that the significance is different. Influencing Factors significant in determining the country's position on Bitcoin are factors political and economic factors have no significant effect. So it can be said that state acceptance of Bitcoin tends to be caused political reasons compared to the economy, even though Bitcoin itself is located on economic aspects. If Bitcoin acceptance is legalized, then the countries in the world still must accompany the role of government because Bitcoin is judged not to have clear rules and potentially detrimental to others.

An Evaluation of the Factors Affecting Failure of the Procedure in reoperated Thyroidectomies: A Retrospective Analysis

2022 ◽  
pp. 000313482110234
Author(s):  
Bülent Çomçalı ◽  
Buket A. Özdemir ◽  
Hakan Ataş ◽  
Egemen Özdemir ◽  
Deniz Tikici ◽  
...  
Keyword(s):  
Multinomial Logistic Regression ◽  
Lesion Size ◽  
Nerve Damage ◽  
Signal Loss ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
Surgical Success ◽  
Negative Effect ◽  
Surgical Failure ◽  
Residual Tissue

Background The aim of this study was to determine the factors affecting procedure failure in revision thyroidectomy surgery. Methods A total of 148 patients applied with revision surgery were separated into 2 groups according to the surgical success status. Comparisons were made of the 2 groups of patients where residual tissue was totally excised (Group 1, n:132) and patients where residual tissue could not be completely excised (Group 2, n:16). The patients were examined in respect of factors affecting the success of the procedure. Results The patients comprised 133 (89.9%) females and 15 (10.1%) males with a mean age of 49.68±12.02 years. Surgical failure was observed in 7 patients as the lesion could not be determined despite the use of intraoperative USG, and in 9 patients because of weak signal or signal loss. The determination of residual tissue ≤25mm on preoperative USG examination was seen to have a significant negative effect on surgical success (r=-0.329, p0.001). The patient having undergone ≥3 previous operations was determined to have a negative effect on surgical success (r=-0.229, p=0.005), and nerve damage on the opposite side to the lesion in a previous surgical procedure was determined to be the most important factor with a negative effect on surgical success (r=-0.571, p<0.001). In multinomial logistic regression analysis of the factors affecting success, the preoperative presence of nerve damage in the contralateral lobe to the lesion (OR: 33.11, 95% CI: 4.22-192.28, p<0.001) and lesion size ≤25 mm (OR: 10.10, 95% CI: 3.54-75.01, p=0.001) were determined to contribute significantly to surgical failure. Conclusion The results of this study clearly showed that as residual tissue size ≤25mm and contralateral nerve damage in the preoperative ultrasonographic evaluation are associated with surgical failure, alternative treatment methods such as radioactive iodine ablation may be preferred in these patients.

scholarly journals Fertility Limiting Intention and Contraceptive Use among Currently Married Men in Nepal: Evidence from Nepal Demographic and Health Survey 2016

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Yuba Raj Paudel ◽  
Kiran Acharya
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Family Planning ◽  
Logistic Regression Analysis ◽  
Contraceptive Use ◽  
Multinomial Logistic Regression ◽  
Strong Association ◽  
Sex Composition ◽  
Multinomial Logistic Regression Analysis ◽  
Living Children

Introduction. Less is known about fertility intention of men and family planning (FP) use pattern among men or their spouses who do not want to have more children in Nepal. The objective of the current research was to assess whether number and sex composition of living children determine contraceptive use and method mix among Nepalese men who expressed not wanting to have more children. Methods. We used couple dataset from NDHS 2016 for the analysis. The sample consisted of 1551 (weighted) men aged 20 or older who had at least one living child and said they wanted no more children. Multinomial logistic regression analysis was conducted to identify determinants of sterilization, traditional, temporary contraceptive use. Analysis was conducted considering clustering and stratification in NDHS 2016 survey. Results. Of the total respondents, more than 80% mentioned they do not want to have any more children. However, only one-third of the men or their spouses who expressed desire not to have children were using sterilization methods at the time of survey. Contraceptive use showed a strong association with number and sex composition of children with men favouring to have at least 1 or 2 sons. Multinomial logistic regression analysis showed that use of sterilization method (especially female sterilization) was strongly associated with having at least 1 or 2 sons. Men with daughters only and one son with daughters were more likely to use temporary methods. Conclusion. Among men who do not want to have more children, FP use was associated with number and sex composition of living children. Use of sterilization methods was associated with having at least 1 or 2 sons. Nepal’s family planning program can be further strengthened by joining hands with initiatives aimed at promoting the value of girl child.

Prediction and categorization of fabric drapability for 3D garment virtualization

2020 ◽  
Vol 32 (4) ◽  
pp. 523-535
Author(s):  
Jimin Kim ◽  
Yun Jeong Kim ◽  
Myounghee Shim ◽  
Youngmin Jun ◽  
Changsang Yun
Keyword(s):  
Mechanical Properties ◽  
Design Methodology ◽  
Multinomial Logistic Regression ◽  
Simulation System ◽  
Content Type ◽  
Multinomial Logistic Regression Analysis ◽  
Independent Variables ◽  
Bending Property ◽  
Group A ◽  
Time Savings

PurposeThis study aims to create a classification system enabling users of 3D virtualization software to intuitively perceive the drapability of fabrics.Design/methodology/approach1,001 fabrics were used, and thickness, bending property, and tensile strength were identified as main mechanical properties influencing drapability; they have been set as independent variables in the model established to predict drape coefficient.FindingsA system to classify fabrics into eight groups by drapability was suggested by a cluster analysis, and a multinomial logistic regression analysis was used to set a model that allows users to predict which group a fabric belongs to from its mechanical properties.Originality/valueThis paper provided basic materials for the construction of a virtual clothing simulation system, which is believed to contribute to cost and time savings in decision-making by reducing the number of trials and errors required by the conventional approach.

scholarly journals ANALYSIS OF FACTORS AFFECTING INTERNATIONAL BANKING ACTIVITIES: A FOCUS ON THE TRANSACTIONS OF ISLAMIC INTERNATIONAL TRADE FINANCING Case Study in XYZ Islamic Bank

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Puspita Puspita
Keyword(s):  
International Trade ◽  
Multinomial Logistic Regression ◽  
Secondary Data ◽  
Primary Data ◽  
International Banking ◽  
Trade Finance ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
Islamic Bank ◽  
Trade Financing

This research aims to analyze the factors affecting international banking activities,especially the transactions of Islamic International Trade Financing (case studyin XYZ Islamic Bank). Multinomial Logistic regression analysis was used in thisstudy. The independent variable consisted of capability of human resources, customers’ needs of Islamic International Trade Financing (IITF) facilities and product divercification of Islamic International Trade Finance. Meanwhile, the dependent variable was the Islamic International Trade Financing activities at XYZ Islamic Bank. This study used both primary and secondary data where primary data collected from questionnaire survey of 70 respondents and secondary data from various literatures. The result showed that the factor that significantly affected the Islamic International Trade Financing was the custumers’ needs of Islamic International Trade Financing. The other two factors did not significantly affect the Islamic International Trade Financing at XYZ Islamic Bank. The influence of customers in increasing Islamic International Trade Financing at XYZ Islamic Bank was the active customers which had opportunity 6.024 times higher than the passive customers in affecting Islamic International Trade Financing at XYZ Islamic bank. Recommendation from this study is encouraging the consumer to enhance international trade finance transaction to be more recognize the characteristics of XYZ Islamic Bank consumer. This way would be change passive consumer become active consumer.

Analysis of Latent Classes and Factors Affecting them According to the Implementation of a Protection System Against Customer Bullying in Korea

2021 ◽  
Author(s):  
Eun-Mi Beak ◽  
Eun-Hi Choi ◽  
Hye-Sun Jung
Keyword(s):  
Missing Values ◽  
Service Industry ◽  
Multinomial Logistic Regression ◽  
Protection System ◽  
Latent Classes ◽  
Negative Effects ◽  
Factors Affecting ◽  
Multinomial Logistic Regression Analysis ◽  
Number Of Customers ◽  
Worker Monitoring

Abstract Background: Instances of customers bullying employees at the workplace are increasing with the development of the service industry. Korea has established a worker protection system to prevent negative effects of customer bullying on workers’ health. This study identified the latent profile types of protection against customer bullying in workplaces, and determined their predictors.Methods: Data were collected over 28 days, from March 2 to 30, 2020. This study identified whether protection against customer bullying is implemented for workers in person-to-person services, the change effected by this protection, and worker monitoring scope. Data from 1,537 out of 1,550 participants were analyzed, excluding the missing values. Latent classes were identified using Mplus 8.5 for data analysis, and the multinomial logistic regression analysis was performed to review the predictors.Results: The results are as follows. There were four types of latent classes: the lagging type, the medium type, the preventive type, and the excellent type. Variables predicting these types included age, gender, service period, position, occupational category, worker monitoring scope, decrease in the number of customers causing problems, decrease in disputes with customers, and worker satisfaction. Conclusions: First, a system to prevent customer bullying must be adopted in the service industry. Second, there must be a way to improve trust between customers and workers when protective measures are being adopted. Third, managers must establish a system that can both protect workers against bullying and provide customer satisfaction.

scholarly journals Social demographic factors influencing consumer's preferences on rice attributes in Indonesia: a multinomial logistic approach

10.5219/1526 ◽  
2021 ◽  
Vol 15 ◽  
pp. 235-244
Author(s):  
Julkhaidar Romadhon ◽  
Muhammad Yazid ◽  
Andy Mulyana ◽  
Yunita
Keyword(s):  
Consumer Preferences ◽  
Multinomial Logistic Regression ◽  
Household Head ◽  
Demographic Factors ◽  
Multinomial Logistic Regression Analysis ◽  
Independent Variables ◽  
Factors Influencing ◽  
Dependent Variables ◽  
Using Data ◽  
Social Demographic

This study assessed factors influencing consumer's preferences on rice attributes in Indonesia using data collected from a sample of 329 consumers in South Sumatra Province in Indonesia. This study used two variables such as independent variables and dependent variables. Independent variables as a predictor of attributes of consumer preferences include social-demographic variables. On another side, dependent variables include attributes of rice-based on the preferences of the consumer. Social demographic factors such as gender, age, number of families, occupation, education, and income are mentioned to influence consumer's preference for rice. Rice attributes such as small broken, chalky grains, higher broken, varieties, family reference, friend reference, suppliers, advertisement, foreign object, residue, packaging, brand, volume expansion, head rice, flavor, aroma soft texture, durability, and whiteness. This study employed the multinomial logistic regression analysis to examine the effects of these variables on rice preference. This study revealed that among household characteristics that influence consumers' preference for rice attributes were household income and the type of occupation of the household head.

scholarly journals An Integrated Heuristic for Validation in Sequence Analysis

2019 ◽  
Author(s):  
Raffaella Piccarreta ◽  
Emanuela Struffolino
Keyword(s):  
Cluster Analysis ◽  
Sequence Analysis ◽  
Multinomial Logistic Regression ◽  
Integrated Approach ◽  
Multinomial Logistic Regression Analysis ◽  
Independent Variables ◽  
Political Sciences ◽  
Individual Sequences ◽  
Structural Peculiarities

Sequence Analysis is a collection of tools to describe life courses represented as sequences that are increasingly applied in different fields, particularly in demography, sociology, and political sciences. Identifying typologies through cluster analysis, thus disregarding individual sequences’ peculiarities, is the aim of most applications. However, a substantive interpretation of such typology can be questionable when clusters include sequences deviating from the others. We propose an integrated approach to identify such sequences, distinguishing between sequences presenting structural peculiarities and randomly deviating sequences. We monitor the quality of partitions with respect to the amount and type of deviation in each cluster relying on novel graphical tools allowing to properly visualize and closely inspect the structure of deviating sequences. We demonstrate that the identification of deviating sequences provides relevant insights also when clusters are used as dependent or independent variables in an explanatory framework, for example in combination with multinomial logistic regression analysis.

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