Descriptive Analysis of the Data Set

2004 ◽  
pp. 63-111
Author(s):  
Oliver Bürgel ◽  
Andreas Fier ◽  
Georg Licht ◽  
Gordon Murray
Keyword(s):  
Descriptive Analysis ◽  
Data Set

scholarly journals Lifestyle Behaviors and Mental Health of American Adults

2007 ◽  
Vol 100 (1) ◽  
pp. 294-302 ◽  
Author(s):  
Elizabeth H. Chaney ◽  
J. Don Chaney ◽  
Min Qi Wang ◽  
James M. Eddy
Keyword(s):  
Mental Health ◽  
Healthy Lifestyle ◽  
Descriptive Analysis ◽  
Experimental Studies ◽  
Poor Mental Health ◽  
Behavioral Risk ◽  
Lifestyle Behaviors ◽  
Unhealthy Lifestyle ◽  
Data Set ◽  
Health Related

The purpose of this study was to test the hypothesis that individuals reporting healthy lifestyle behaviors would also report better self-rated mental health. Logistic regression analyses were conducted utilizing SUDAAN on the Behavioral Risk Factor Surveillance Survey data set. This descriptive analysis suggests that persons reporting poor mental health were more likely to report unhealthy lifestyle behaviors. This set of findings encourages careful design of experimental studies of empirically based associations of mental health and life style, using psychometrically sound measures. Then public health programs focused on change of health-related behaviors might be more suitably devised.

Loan repayment performance of clients of informal lending institutions

2017 ◽  
Vol 16 (3) ◽  
pp. 260-275 ◽  
Author(s):  
Goodluck Charles ◽  
Neema Mori
Keyword(s):  
Descriptive Analysis ◽  
Cross Sectional Study ◽  
Absorption Capacity ◽  
Cross Sectional ◽  
Data Set ◽  
Loan Repayment ◽  
Content Type ◽  
Ex Post ◽  
Information Gap ◽  
Lending Institutions

Purpose The purpose of this article is to examine the effects that dynamic incentives and the borrowing histories of clients of informal lending institutions have on loan repayment performance, in particular, the extent to which multiple borrowing and progressive lending affect the repayment of loans. Design/methodology/approach The paper uses a data set of 835 borrowers drawn from an informal lending institution in Tanzania. Descriptive analysis and econometric models are used to test the developed hypotheses. Findings Whereas clients with multiple loans are associated with poor loan repayment, progressive lending contributes to positive repayment outcomes. Multiple borrowers face increased debt levels and thereby an increased inability to meet their repayment obligations; in contrast, progressive lending by building up a lender–client relationship helps clients to obtain higher loans with a minimum amount of screening. Research limitations/implications This was a cross-sectional study based on a sample of individual clients drawn from a single institution. However, since the majority of clients had also taken out loans with other financial institutions, the sample is considered to be representative. Practical implications A client’s past repayment performance and multiple loan history must be assessed so that multiple borrowing can be prevented and credit absorption capacity can be gauged more accurately. The repeated nature of the interactions and the threat to cut off any future lending (if loans are not repaid) can be exploited to overcome any information deficit. Originality/value This study was conducted in a context in which the degree of information sharing was low and institutional access to clients’ credit histories was limited. It contributes knowledge on how lenders minimise the risk flowing from the ex ante information gap and moral hazards arising from the ex post information gap.

scholarly journals Exclusive Breastfeeding Practice And Associated Factors Among Employed And Unemployed Mothers In Ethiopia: Comparative Cross Sectional Study Using EDHS 2016

2021 ◽  
Author(s):  
Desta Markos Minamo
Keyword(s):  
Exclusive Breastfeeding ◽  
Maternity Leave ◽  
Descriptive Analysis ◽  
Cross Sectional Study ◽  
Feeding Practice ◽  
Cross Sectional ◽  
Data Set ◽  
Factors Associated ◽  
The Impact ◽  
Breastfeeding Practice

Abstract Introduction Contrary to the recommendation, children under the age of 6 months be exclusively breastfed, many infants are also fed with other liquids such as water, non-milk liquids, and other milks before 6 months. Because of level of education and proportion of employed women in Ethiopia has been increasing gradually. Consequently the practice of exclusive breastfeeding became very lower. The main objective of this study was to assess the magnitude and factors associated with the practice of exclusive breastfeeding among employed and unemployed mothers in Ethiopia, using dataset from EDHS 2016. METHOD Data was extracted from Ethiopia Demographic and Health Survey (EDHS-2016). A total of 1089 mothers with infants aged 0 to 6 months in the data set were included in the analysis. Descriptive analysis, chi-square and binary logistic regression models were used. RESULT This study has demonstrated a 64.7%, 95%CI(58.9-70.5) and 75.4%, 95%CI(72.378.2) prevalence of EBF practices among employed and unemployed mothers respectively in the 24h preceding the survey. Other factors associated with EBF practice included being unemployed mother, larger to normal birth weight; infant aged 0-3 month old, infant being male, have radio in the house, infant being wanted, delivery by non CS mode and presence of ANC follow up during pregnancy were found to be significantly associated with exclusive breastfeeding practice. Conclusion the prevalence of exclusive breast feeding practice among employed mothers was significantly lower than that of unemployed mothers. Thus, Having in consideration the impact of appropriate infant and young children feeding practice on children’s nutritional status and mortality rate, policy makers still need to give more emphasis on promotion of exclusive breastfeeding through creating an enabling environment targeting the extension of postnatal maternity leave up to the first six month.

scholarly journals A bibliometric analysis on the use of the multicriteria approach to the water resource management

2020 ◽  
Vol 27 (2) ◽  
Author(s):  
Alexandre Troian ◽  
Mário Conill Gomes
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Water Resource Management ◽  
Water Distribution ◽  
Descriptive Analysis ◽  
Scientific Production ◽  
Data Set ◽  
Resources Management ◽  
Participatory Techniques ◽  
The Subject

Abstract: The purpose of this article was to accomplish a literature review to analyze the scientific studies which were based on Multicriteria Methods to study water resources management in agriculture. Scientific production indicators were established for the subject, through a descriptive analysis of 519 publications data set generated by the Scopus database search engine. The publications were refined applying several criteria resulting in 30 articles considered to be the most important to interpret the factors that detail the researched topic. The analyzed scientific studies also show that the structuring of multicriteria models is designed to better understand the problem or the process of decision making rather than to make the decisions itself. Furthermore, to the water resources management field, they provide a way to discuss and deal with problems like water distribution and pollution. An aggregating function along with a compensatory approach is used in most publications. Although participatory techniques were not the approach used by most studies, its potential was recognized for dealing with problems such as water management resources.

scholarly journals Impact of Socio-Demographic factors on survival of under-five children in Nigeria

2019 ◽  
Vol 4 (8) ◽  
pp. 44-48
Author(s):  
Abdulmumeen Adekunle Issa ◽  
Waheed Babatunde Yahya ◽  
Eyitayo Tejumola Jolayemi
Keyword(s):  
Secondary Education ◽  
Descriptive Analysis ◽  
Binary Logistic Regression ◽  
Demographic Variables ◽  
Demographic And Health Surveys ◽  
Binary Logistic Regression Model ◽  
Data Set ◽  
Under Five ◽  
Under Five Children ◽  
Survival Status

A number of discussions on mortality or survival patterns of under-five children in Nigeria have been presented in the literature over years, most of which were characterized by descriptive analysis, in which facts were reported by percentages, ratio and measures of association to mention a few.  In this study, binary logistic regression model was employed to model the survival status (dead or alive) of under-five children in Nigeria as a function of some socio-demographic variables. Results from this study revealed that ten socio-demographic variables among several others were significantly associated with the survivals of under-five children in Nigeria. Specifically, the results showed that children that were born in urban area, that were exclusively breastfed, that were among the first four children in the family, whose mothers have secondary education and post-secondary education have significant increased odds, to about 27%, 580%, 20%, 22% and 102% respectively, of surviving beyond age five than their counterparts in the reference categories of the above identified risk factors (odds ratio is 1.271(p < 0.0001 for urban), 6.810 (p<0.0001 for breastfeeding), 1.197 (p < 0.0001 for birth order), 1.225 (p = 0.001 for secondary education) and 2.023 (p < 0.0001 for higher education)). Results from this work indicated that more enlightenment program is required to stem the alarming increase in under-five mortality rate in Nigeria which currently stood at 112%. Data set from Nigerian Demographic and Health Surveys (NDHS) report for 2008 was employed in this study.

scholarly journals Hospitalisation Cost of Patients with Diabetic Foot Ulcers in Valencia (Spain) in the Period 2009–2013: A Retrospective Descriptive Analysis

2018 ◽  
Vol 15 (9) ◽  
pp. 1831 ◽  
Author(s):  
Pilar Nieto-Gil ◽  
Ana Ortega-Avila ◽  
Manuel Pardo-Rios ◽  
Manuel Cobo-Najar ◽  
Carlos Blasco-Garcia ◽  
...  
Keyword(s):  
Hospital Stay ◽  
Diabetic Foot ◽  
Hospital Admissions ◽  
Descriptive Analysis ◽  
Public Hospitals ◽  
Foot Ulcers ◽  
Hospitalisation Cost ◽  
Multidisciplinary Teams ◽  
Diabetic Foot Ulcers ◽  
Data Set

Ulcers are the main cause of hospitalisation and clinical complications in patients with diabetes. We analyse the length and cost of hospital stay of patients with diabetic foot ulcers, taking into consideration that hospitalisation and, if necessary, amputation represent the greatest area of expense to the healthcare system for such patients. This analysis focuses on the treatment provided to these patients in public hospitals in the region of Valencia (Spain), registered in the Spanish Minimum Basic Data Set, during the period 2009–2013. The number of acute hospital admissions in this respect is increasing and has a high socioeconomic cost. During the study period, there were over 2700 hospital admissions, an average of nearly 550 per year. The total hospital stay for these patients was 30,886 days, with an average of 11.4 days and a cost of €7633 per admission. Preventive policies and the deployment of multidisciplinary teams are essential to reduce these costs and avoid future complications such as amputation.

Historical operational data analysis for defence preparedness planning

2016 ◽  
Vol 15 (2) ◽  
pp. 231-244
Author(s):  
Kamran Shafi ◽  
Essam Debie ◽  
David Oliver
Keyword(s):  
Data Analysis ◽  
Descriptive Analysis ◽  
Temporal Trends ◽  
Predictive Analysis ◽  
Data Set ◽  
Preparedness Planning ◽  
Australian Defence Force ◽  
Spatial And Temporal Trends ◽  
National Defence ◽  
Operational Data

Preparedness is an important function of defence planning that involves developing defence capabilities to deal with emergent situations relating to national defence and security. Preparedness planning relies on a number of inputs, including requirement analysis, to identify critical capability gaps. Modern data analysis can play an important role in identifying such future requirements. To this end, this paper presents an analytical study, consisting of both descriptive as well as predictive analysis, of historical defence operational data. The descriptive analysis component of the methodology focuses on identifying useful features in the collected data for building a predictive model. The predictive analysis investigates existing patterns in the data, including spatial and temporal trends. An artificial neural network based time series forecasting model is developed to predict future operations based on the identified features. The proposed methodology is applied to a defence operational data set, built from a number of unclassified sources relating to the historical operational deployments of the Australian Defence Force between 1885 and 2012. Implications are also discussed.

scholarly journals Exploring the Impact of the COVID-19 Pandemic on University Students’ Learning Life: An Integrated Conceptual Motivational Model for Sustainable and Healthy Online Learning

2021 ◽  
Vol 13 (5) ◽  
pp. 2546
Author(s):  
Nabil Hasan Al-Kumaim ◽  
Abdulsalam K. Alhazmi ◽  
Fathey Mohammed ◽  
Nadhmi A. Gazem ◽  
Muhammad Salman Shabbir ◽  
...  
Keyword(s):  
Online Learning ◽  
University Students ◽  
Information Overload ◽  
Descriptive Analysis ◽  
Online Communication ◽  
Research Approach ◽  
Data Set ◽  
Motivational Model ◽  
Analyse Data ◽  
The Impact

The COVID-19 pandemic has forced many organizations around the world to make full use of a variety of emerging online communication platform technologies. Universities are among the organizations that have asked students, tutors, and lecturers to use a number of different online communication platforms to ensure the education process remains uninterrupted. However, the COVID-19 pandemic has generated considerable challenges for the global higher education community while using such emerging technologies. This research has two main goals. First, this paper will begin by investigating whether the online learning platforms used by university students during the COVID-19 period have presented any challenges to their learning. Second, the paper will then go on to address proposed solutions by developing a conceptual model to reduce the impact of such challenges. This research uses an exploratory qualitative research approach, supported by literature content analysis techniques. The data set for this study was collected during the first peak of the pandemic period in Malaysia, between the 16th of May 2020 and the 5th of June 2020. We used SPSS to conduct a descriptive analysis and NVivo12 to analyse data collected from 486 students from different universities in Malaysia. These students disclosed various obstacles they encountered when they used IT platform applications for online learning. These obstacles include (a) work and information overload received from instructors, (b) inadaptability and unfamiliarity of the new online learning environment, and (c) personal health challenges related to stress and anxiety. Based on previous relevant research, this study introduced a set of motivational factors and developed a conceptual motivational model for sustainable and healthy online learning.

scholarly journals Australian Veterans of the Middle East Conflicts 2001–2010: Select Reproductive Health Outcomes Part 1 — Maternal and Paternal Outcomes

2020 ◽  
Vol 02 (02) ◽  
pp. 43-52
Author(s):  
Rachelle Warner ◽  
Jodie C. Avery ◽  
Susan Neuhaus ◽  
Michael J. Davies
Keyword(s):  
Middle East ◽  
Reproductive Health ◽  
Pregnancy Loss ◽  
Descriptive Analysis ◽  
Perinatal Outcomes ◽  
Study Data ◽  
Military Population ◽  
Data Set ◽  
Infant Outcomes ◽  
Normal Limits

Background: Anecdotally, infertility concerns among serving female Australian Defense Force (ADF) members and veterans are perceived to be prevalent, but precise data are lacking. This is the first of two papers that identify reproductive, pregnancy, and infant outcomes in an exclusively Australian military cohort. This initial paper aims to describe maternal and paternal occupation and fertility characteristics of a group of ADF members who deployed to the Middle East during the period 2001–2010. Methods: Utilizing the Middle East Area of Operations Census Study data set, a descriptive analysis was performed on the demographic and clinical variables of the cohort, where data were reported. Descriptive statistics (means, frequencies, percentiles) were used to describe the population. Sociodemographic data and clinical data, including maternal/paternal outcomes, were reported. Results: The self-reported infertility rate was 9%, which was significantly lower than the reported infertility rate in the comparative Australian (non-military) population. All other outcomes were comparable to the Australian population and within normal limits. Conclusions: This survey presents a generally reassuring picture of reproductive health for men and women serving in the ADF with regard to the risk of infertility, pregnancy loss, and perinatal outcomes, although the basis for fertility concerns requires further investigation.

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