Determinants of housing demand in the Erzurum province, Turkey

2014 ◽  
Vol 7 (4) ◽  
pp. 586-602 ◽  
Author(s):  
Erkan Oktay ◽  
Abdulkerim Karaaslan ◽  
Ömer Alkan ◽  
Ali Kemal Çelik
Keyword(s):  
Housing Prices ◽  
Binary Logistic Regression ◽  
Housing Demand ◽  
Outcome Variable ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Content Type ◽  
Comprehensive Survey ◽  
Income Expectations

Purpose – The main aim of this study is to determine the factors that influence the housing demand of households in Erzurum, northeastern Turkey. Housing demand is generally affected by several factors including housing prices, individuals’ income, expectations and choices and so on, as a means of its demographic and socio-psychological contexts. Design/methodology/approach – A questionnaire-based cross-sectional survey was carried out, in which the outcome variable had binary responses such as whether to invest in housing or not. A binary logistic regression analysis was performed to estimate the underlying data. Findings – The questionnaire was conducted in 2,927 households living in Erzurum city center, and 47 per cent of the respondents claimed that they would consider investing in housing in the future. The estimation results reveal that demographic or socio-economic factors that may possibly influence housing demand of the respondents are as follows: household head’s and spouse’s occupation, monthly income, the number of individuals in the family and car ownership. Originality/value – This paper involves the most comprehensive survey addressing the housing demand in the East Anatolian Region, Turkey. Additionally, this paper aims to contribute to the existing housing literature through establishing the statistical analysis of housing demand in an unstudied territory of the world.

Determinants of adoption of organic rice production: a case of smallholder farmers in Hai Lang district of Vietnam

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hung Gia Hoang
Keyword(s):  
Developing Countries ◽  
Agricultural Development ◽  
Smallholder Farmers ◽  
Binary Logistic Regression ◽  
Rice Production ◽  
Rice Farming ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Content Type ◽  
Organic Rice

PurposeThe purpose of this study is to investigate factors that affect smallholders' adoption of organic rice production in the Hai Lang district of Vietnam.Design/methodology/approachThis study employed a cross-sectional survey research design. A sample size of 215 was drawn from a total of 455 smallholders. Descriptive and inferential statistics, including a binary logistic regression, were used to analyse the data.FindingsThe study concludes that younger female smallholders participating in credit/training programs and community-based organisations, who have a high level of education, a large household size and more experience in rice farming, and who grow mixed crops, have a greater tendency to adopt organic rice production.Research limitations/implicationsA combination of demographic, socio-economic and institutional characteristics of rice smallholders should be considered when promoting organic rice farming practices by smallholders and when choosing organic agricultural development strategies for smallholders in developing countries.Originality/valueThis research provides significant understanding of the determinants of organic rice adoption by smallholder farmers and highlights factors that need to be considered when designing policies to enhance the uptake of organic farming in developing countries.

Social capital and health and job related outcomes: the case of a large municipality

2016 ◽  
Vol 9 (1) ◽  
pp. 17-31 ◽  
Author(s):  
Ann-Kristina Løkke
Keyword(s):  
Job Satisfaction ◽  
Social Capital ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional ◽  
Employee Survey ◽  
Content Type ◽  
The Relationship ◽  
Large Municipality

Purpose – The purpose of this paper is to investigate the relationship between workplace social capital and health and job related outcomes in a large Danish municipality. Design/methodology/approach – Data used in this cross-sectional study are based on an electronic employee survey conducted in 2012 in a large municipality. Of the total population of 5,672 individuals, the number of participants amounted to 4,162, leading to a response rate of 73.4 percent. Binary logistic regression analysis is used as a statistical method, and odds ratios and their corresponding 95 percent confidence intervals have been estimated. Findings – The level of social capital is fairly high in the municipality (3.75 on a five-point scale). Social capital is related to health (OR=0.420) and psychological distress (OR=0.282) but has an even stronger relationship to job satisfaction and commitment (OR is 9.889 and 7.800, respectively). The study contributes with the conclusion that different sub-dimensions of social capital are related to health and job related outcomes. Therefore, managers need to be specific about what exactly they want to achieve with the implementation of social capital in municipalities. Originality/value – Research of the relationship between social capital and health and job related outcomes based on a case study approach of a municipality are limited. This paper makes an original contribution in providing evidence of the importance of social capital for Danish municipal sector employees’ health, job satisfaction, and commitment in a work context.

scholarly journals Elementary school enrolment and its determinants among children with cerebral palsy in Thiruvananthapuram district, Kerala, India

2013 ◽  
Vol 04 (S 01) ◽  
pp. S40-S44 ◽  
Author(s):  
Thekkumkara Surendran Nair Anish ◽  
Reshmi Ramachandran ◽  
P Sivaram ◽  
Seetha Mohandas ◽  
Archana Sasidharan ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Cerebral Palsy ◽  
Formal Education ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
School Enrollment ◽  
Outcome Variable ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional ◽  
Children With Cerebral Palsy

ABSTRACT Context: There is enough documented evidence to prove the benefits of early and appropriate initiation of education among children with cerebral palsy (CP). Aim: To find out the proportion of children with CP who are enrolled for some kind of formal education and to study the determinants of the same. Setting and Design: This cross sectional study was done among children, attending the special clinics at government medical college, Thiruvananthapuram. Materials and Methods: Children between 3 and 12 years of age diagnosed with CP were subjects for the study. Statistical Analysis Used: Enrollment for any form of formal education was the major outcome variable. The factors associated with initiation of formal education were tested using Chi-square test or Fischer′s exact test. Independent association of each factor was evaluated through binary logistic Regression analysis. Results and Conclusions: The mean (SD) age of the children (n = 86) was 5.7 (2.3) years with forty-six (53.5%) of them being girls. Diplegia was the commonest limb abnormality found. Fifty-two (60.5%) children were undergoing some kind of schooling. Those children who were less dependent physically and those who had achieved better language development were regular school goers. After binary logistic regression the ability of a child to speak in sentences (P = 0.008) and ambulatory level of the child (P = 0.019) were factors which favored, whereas delay in attaining the adaptive developmental milestone of transferring objects from one hand to another (P = 0.014) was found to be detrimental for school enrollment.

scholarly journals University Teachers’ Decisions on Post-retirement Employment: Do Demographic Variables Count?

2021 ◽  
Vol 7 ◽  
pp. 233372142110414
Author(s):  
Inusah Salifu ◽  
Ebenezer D. Odame ◽  
Jibreel U. Abubakar
Keyword(s):  
Role Theory ◽  
Survey Design ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional Survey ◽  
Employment Decisions ◽  
Cross Sectional ◽  
University Teachers

This research aimed to determine whether demographic characteristics of retiring university teachers were significantly associated with their post-retirement employment decisions, using three psychosocial theories–role theory, continuity theory and life course theory. The research used the cross-sectional survey design and relied on the simple random sampling technique to sample 235 participants who were left with 5 years or less to reach Ghana’s compulsory retirement age of 60 years. The participants were selected across 20 public universities in Ghana to complete a questionnaire. Based on a binary logistic regression analysis, the research found that, apart from the rank and health status of the participants, other variables such as gender, kind of university, family size, marital status and levels of involvement in university activities significantly determined the participants’ decisions regarding a working life after retirement. Against this backdrop, the research concluded that within the academic milieu, certain demographic factors were key determinants of post-retirement employment decisions.

scholarly journals Students’ ”D”ILEMMA: An Assessment of Knowledge, Attitudes and Practice Toward Vitamin D Among University Students

2020 ◽  
Author(s):  
Negia Mohamed ◽  
Walid Al-Qerem ◽  
Ezeddin Gassar ◽  
Mohammad Hailat ◽  
Faiza Elhamdy ◽  
...  
Keyword(s):  
Vitamin D ◽  
University Students ◽  
Vitamin D Deficiency ◽  
Binary Logistic Regression ◽  
Sun Exposure ◽  
Knowledge Score ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Supplement Use

Abstract Background: The message delivered to the public regarding vitamin D is unclear, and contradictory; particularly regarding sun exposure; previous studies in Jordan have revealed high prevalence of low vitamin D among university students. The aim of this study was to investigate university students’ knowledge, attitudes and practice regarding vitamin D.Method: A web-based cross-sectional survey completed by students at a Jordanian university in 2019. Binary logistic regression analysis was used to predict supplement use.Results: 496 students completed the questionnaire. The mean knowledge score was 31.3 (± 11.3) out of 100. Women had significantly higher beliefs that vitamin D deficiency is an escalating health issue (p<0.01). Negative practices regarding sun exposure was significantly higher in women than men (p<0.01). The majority of participants recognized that insufficient sun exposure was a cause of vitamin D deficiency, but 50.7 % avoid sun exposure, and 67.6% expose only their face and hands. The consumption of fortified foods (OR 3.59-;p<0.001) was the only studied variable associated with vitamin D consumption.Conclusion: There is a gap between knowledge, attitude, and practice regarding vitamin D which can be bridged by promoting Vitamin D related awareness.

scholarly journals Factors that Influence Stunting in Children Aged 6–59 Months in Kapiri-Mposhi District, Zambia

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Given Chipili ◽  
John Msuya
Keyword(s):  
Marital Status ◽  
Family Size ◽  
Binary Logistic Regression ◽  
Nutrition Status ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Study Implementation ◽  
Mother’S Age ◽  
Nutrition Sensitive

AbstractStunting has remained a challenge in Zambia. Poor nutrition in early life of children below the age five has a great effect on stunting. This paper looked at other factors that can influence stunting among children aged 6–59 months. A cross-sectional survey was conducted in Kapiri-Mposhi district among 100 children aged 6–59 months. This study was part of the macro study Implementation of Nutrition-sensitive Agriculture in the Central Province of Zambia.” We looked at four factors, which included, the Mothers age, level of mother's education, Family size and marital status. These factors where compared to the nutrition status of children (Stunting). We used descriptive and binary logistic regression analysis to assess the factors that influence stunting. The prevalence of stunting was found to be 21%, wasting was 9% and underweight was 2%.This study found that Children who were born from teenage mothers were likely to be stunted (P < 0.02) than those from older mothers. In addition, we also found that there was a significant relationship between family size and stunting (P < 0.01). Most families that had over eight member were likely to have stunted children than those we had less. This study did not find any association between the mother's level of education or marital status and stunting in Kapiri-Mposhi district. Family size and mother's age are associated to stunting in Kapiri-Mposhi district.

scholarly journals Knowledge and prevalence of energy drinks consumption in Shanghai, China: a cross-sectional survey of adolescents

2021 ◽  
Vol 34 (3) ◽  
pp. e100389
Author(s):  
Ruyan Luo ◽  
Rao Fu ◽  
Lu Dong ◽  
Zheyi Du ◽  
Wei Sun ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Adverse Effects ◽  
Life Events ◽  
Negative Attitude ◽  
Binary Logistic Regression ◽  
Energy Drinks ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional Survey ◽  
Related Factors ◽  
Cross Sectional

BackgroundIn recent years, energy drinks (EDs) have been widely used among young people around the world. The extensive use of EDs also affects the sleep and exercise of adolescents.AimsThis study aimed to investigate the consumption of EDs, the knowledge, attitude towards EDs and associated factors of EDs consumption among adolescents in Shanghai, China.MethodsA total of 4608 adolescents completed a self-administered questionnaire assessing EDs use history, knowledge and attitude towards EDs. Adolescent Self-rating Life Events Checklist (ASLEC) was used to assess their life events. All participants were divided into two groups based on whether they used them or not. t-test and χ2 test were used to compare the differences between the two groups, and binary logistic regression analysis was used to investigate the related factors for EDs consumption.Results70.5% of the participants reported having ever used EDs. The main avenues to getting information on EDs were from advertisements. 67.56% of them believed that EDs had adverse effects on health. 22.09% of the participants and 31.55% of their parents took a negative attitude towards EDs. Compared with the non-consumption group, participants in the consumption group were likely to be male, with older age, identified EDs more correctly and did not believe EDs had adverse effects, with more positive attitude and higher ASLEC score. Logistic regression results showed that gender, age, attitude of parents and themselves, knowledge of EDs and ASLEC score significantly predicted EDs consumption.ConclusionEDs consumption was popular among adolescents in Shanghai, and the tailored intervention programmes need to be developed based on the characteristics of adolescents.

scholarly journals E-banking: Influence of Mass Media Communication on Customers’ Satisfaction in Sylhet City, Bangladesh

2018 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Mia Muhammad Mustafiz Munir
Keyword(s):  
Customer Satisfaction ◽  
Mass Media ◽  
Commercial Bank ◽  
Mass Communication ◽  
Book Publishing ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Media Communication

<p><em>This paper sought to analyse the influence of mass communication on customers’ satisfaction regarding e-banking services, for two selected commercial banks in Sylhet city, Bangladesh. One of them is Private Commercial Bank and another one is Government Commercial Bank. A cross sectional survey was used for this research to reach the objectives and hypothesis of the study. Mass media communication is the learning of how individuals exchange information through mass media to large segments of the population at the same time. It is usually assumed to relate newspaper, periodical magazine, and book publishing, as well as radio, television and film, even via internet as these mediums are used for circulating information, news and advertising. Mass media communication is used here as an independent variable and customer satisfaction is considered as dependent variable. Total 250 questionnaires were circulated, out of which 200 were considerable for the study. Respondents are customer from aforesaid banks across Sylhet city of Bangladesh. Binary logistic regression analysis was used to estimate a model for predicting the influence of mass media communication of customer satisfaction in context of e-banking usage in Sylhet city, Bangladesh through SPSS version 22. This paper exemplify that government should ensure the availability media (i.e. Newspaper, Internet, TV, Radio) around the country to aware about development of government’s vision. </em></p>

scholarly journals Predicting the Probability for Faculty Adopting an Audience Response System in Higher Education

10.28945/3548 ◽  
2016 ◽  
Vol 15 ◽  
pp. 395-407 ◽  
Author(s):  
Tan Fung Ivan Chan ◽  
Marianne Borja ◽  
Brett Welch ◽  
Mary Ellen Batiuk
Keyword(s):  
Diffusion Of Innovation ◽  
Binary Logistic Regression ◽  
Learning Technologies ◽  
Relative Advantage ◽  
Binary Logistic Regression Analysis ◽  
Audience Response System ◽  
Audience Response ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Response System

Instructional technologies can be effective tools to foster student engagement, but university faculty may be reluctant to integrate innovative and evidence-based modern learning technologies into instruction. Based on Rogers’ diffusion of innovation theory, this quantitative, nonexperimental, one-shot cross-sectional survey determined what attributes of innovation (relative advantage, compatibility, complexity, trialability, and observability) predict the probability of faculty adopting the audience response system (ARS) into instruction. The sample of the study consisted of 201 faculty at a university in the southeastern United States. Binary logistic regression analysis was used to determine the attributes of innovation that predict the probability of faculty adopting the ARS into instruction. Out of the five attributes, compatibility and trialability made significant contributions to the model. The implication of the findings is that, in order to maximize adoption, the faculty needs to be given the opportunity to pre-test the ARS prior to implementation, and they need to know how the technology will assist them in achieving their pedagogical goals. Recommendations were made to leverage these attributes to foster faculty adoption of the ARS into instruction.

Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

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