scholarly journals Correlación entre Pobreza Extrema y Discapacidad en los Departamentos de Colombia

2013 ◽  
Author(s):  
Yaneth Herazo Beltr ◽  
Regina Dom
Keyword(s):  
Census Data ◽  
Correlation Coefficients ◽  
Linear Regression Method ◽  
Extreme Poverty ◽  
Positive Correlation ◽  
Software Application ◽  
Individual Level ◽  
The Social ◽  
Spss Software ◽  
Poverty Indicators

Introducción: Aparte de ser un problema médico, la discapacidad es un fenómeno socioeconómico, ya que una persona en situación de discapacidad tiene mayores restricciones para acceder, por ejemplo, a un empleo. Objetivo: Se propone estimar la correlación entre pobreza extrema y discapacidad en los departamentos de Colombia, según los datos del Censo General de 2005. Materiales y Métodos: Se realizó un estudio analítico ecológico. Como indicadores de discapacidad, se tomaron los datos del Departamento Administrativo Nacional de Estadísticas (DANE) y el indicador pobreza extrema del Departamento Nacional de Planeación (DNP). Se determinó el coeficiente de correlación (r) mediante el método de regresión lineal, usando el programa SPSS. Resultados: El análisis estableció la relación positiva entre las variables estudiadas, así: entre limitaciones permanentes para caminar y pobreza extrema, la correlación fue más fuerte (r=0,227), pero no significativamente estadística (p=0,286); igual, entre pobreza extrema y las limitaciones para autocuidado (r=0,161) y para el uso de brazos y manos (r=0,139), fue positiva, aunque débil. Conclusión: Los anteriores coeficientes de correlación (r) indican que la pobreza influye en la situación de discapacidad de las personas en forma acorde con la actividad que se analice, lo cual permite concluir que la pobreza es un factor contextual influyente en la discapacidad.ABSTRACTIntroduction: Disability is considered a socio-economic phenomenon; a person in situation of disability has greater restrictions to access to employment. Objective: To estimate the correlation if any exists, between extreme poverty and disability in Colombian regions. The study is to be based on the 2005 general census. Materials and Methods: Analytic and ecologic study. 2005 general census data from the National Beauro of Statistical Administration (DANE) was used to form indicators of disability. For extreme poverty, indicators from the National Planning Bearue (DNP) were collected. The correlation coefficient (r) was determined through the linear regression method utilizing the SPSS software application. Results: The analysis establishes a positive correlation between permanent walking limitations and extreme poverty (r = 0,227); however, not significant (p = 0,286). Likewise, a positive correlation was found between extreme poverty and self-care (r=0,161); between extreme poverty and use of arms and legs (r=0,139). The correlation is weaker for the latter parameters. Conclusion: The obtained correlation coefficients (r) indicate that poverty affects the disability condition based on the analyzed activity. Further, the results lead us to conclude that poverty is a contextual factor around disability. It is recommended that other analytical methods be utilized to establish causal relationships between disability and poverty at an individual level. The purpose would be to obtain a deeper understanding of how personal and environmental conditions lead to the social exclusion of individuals with disabilities.

Who Voted Communist? Reconsidering the Social Bases of Radicalism in Interwar Poland

Slavic Review ◽  
2003 ◽  
Vol 62 (1) ◽  
pp. 87-109 ◽  
Author(s):  
Jeffrey S. Kopstein ◽  
Jason Wittenberg
Keyword(s):  
Voting Behavior ◽  
Census Data ◽  
Individual Level ◽  
National Minorities ◽  
Electoral Support ◽  
Level Data ◽  
The Social ◽  
Interwar Poland ◽  
Sources Of Support ◽  
A New Technique

Research on the sources of support for the communists in interwar Poland has emphasized the role of ethnic minorities, especially the Jews. To what degree did Poland's national minorities vote for the Communist Party? Using census data and electoral returns on interwar Poland's 2*72 districts, as well as a new technique for inferring individual level behavior from aggregate level data, Jeffrey Kopstein and Jason Wittenberg generate reliable estimates of ethnic group voting behavior for the Sejm elections of 1922 and 1928. The results show that it is incorrect to speak of a unified minority vote. Communist parties received disproportionate support from Belarusans. By 1928 Ukrainians voted overwhelming for ethnonational parties. The bulk of Jews drifted into establishment politics, disproportionately supporting the pro-government bloc. Contrary to the myth of the “Jewish communist,” Jews provided only a small fraction of the electoral support for the communist parties. The evidence shows that not only were the overwhelming number of Jews not communist supporters but the vast majority of communist voters were not Jews.

Diversity, Pay Equity, and Pay in Social Work and Other Professions

Affilia ◽  
2018 ◽  
Vol 33 (3) ◽  
pp. 286-299 ◽  
Author(s):  
Gregory B. Lewis
Keyword(s):  
Social Work ◽  
Social Workers ◽  
College Graduates ◽  
Census Data ◽  
White Men ◽  
Pay Equity ◽  
Individual Level ◽  
Representation Of Women ◽  
The Social ◽  
Racial Ethnic

Does the social work labor force reflect the field’s commitment to social and economic justice? Using individual-level census data for 1980–2014 on self-identified social workers and on other college graduates in college-majority occupations, this article finds three key patterns. First, representation of women, blacks, and Latinx in social work is high and growing, greatly exceeding that in most of these other occupations. Second, white men continue to earn more than comparable women, blacks, and Latinx, but gender/racial/ethnic pay disparities in social work have dropped by half or more since 1980 and are far smaller than in most other occupations. Third, social workers earn substantially less than comparable employees in other occupations, and the pay disadvantage is growing. That low pay, however, may contribute to both the diversity and relative pay equity in social work.

Rainfall Prediction in South-Eastern Part of Bangladesh by Linear Regression Method

2018 ◽  
Vol 6 (6) ◽  
pp. 119
Author(s):  
Mohammad Shohidul Islam ◽  
Sultana Easmin Siddika ◽  
S M Injamamul Haque Masum
Keyword(s):  
Linear Regression ◽  
Correlation Coefficients ◽  
Rain Gauge ◽  
Regression Method ◽  
Linear Regression Method ◽  
Climate Data ◽  
Rainfall Forecasting ◽  
Statistical Parameters ◽  
Time Duration ◽  
Rainfall Prediction

Rainfall forecasting is very challenging task for the meteorologists. Over the last few decades, several models have been utilized, attempting the successful analysing and forecasting of rainfall. Recorded climate data can play an important role in this regard. Long-time duration of recorded data can be able to provide better advancement of rainfall forecasting. This paper presents the utilization of statistical techniques, particularly linear regression method for modelling the rainfall prediction over Bangladesh. The rainfall data for a period of 11 years was obtained from Bangladesh Meteorological department (BMD), Dhaka i.e. that was surface-based rain gauge rainfall which was acquired from 08 weather stations over Bangladesh for the years of 2001-2011. The monthly and yearly rainfall was determined. In order to assess the accuracy of it some statistical parameters such as average, meridian, correlation coefficients and standard deviation were determined for all stations. The model prediction of rainfall was compared with true rainfall which was collected from rain gauge of different stations and it was found that the model rainfall prediction has given good results.

THE VALUE CHAIN OF COMPETENCY MODEL FOR VIETNAMESE EDUCATIONAL MANAGERS IN THE INDUSTRY 4.0 REVOLUTION ERA

2018 ◽  
Author(s):  
Le Thi My Hanh ◽  
Luis Alfaro ◽  
Tran Phuong Thao
Keyword(s):  
Value Chain ◽  
Industry 4.0 ◽  
Global Economy ◽  
Value Added ◽  
Chain Model ◽  
Individual Level ◽  
The Social ◽  
Comprehensive Development ◽  
Model Of Competency ◽  
Personal Competencies

This world is constantly changing and rapidly moving,-particular in the Industry 4.0 revolution, people must change to follow and keeping with this new trend. Education is the human foundation toward the “Truth - Good - Beautiful”, and comprehensive development of personal competencies as knowledge, skills and behaviors. A nation, such as Vietnam, if they want to integrate into global economy and affirming their position, they will need the “Talented - Virtuous” human resource who could meet the high demand of society. The purpose of this study was to propose a model of competency value chain at individual level for the educational managers, analyzing some factors of this value chain model and how to apply to Vietnamese education system in the fourth Industry era. The authors wanted to focus on the social value added that the educational managers’competency could bring as the result of this research.

Victor S. D'Souza. Development Planning and Structural Inequalities: The Response of the Underprivileged. New Delhi: Sage Publications 1990. Pages 206 + Index. Price: Rs 180 (Hardbound).

1991 ◽  
Vol 30 (3) ◽  
pp. 313-317
Author(s):  
Ziaul Haque
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Social Structure ◽  
Social Transformation ◽  
Social Inequalities ◽  
Census Data ◽  
Development Planning ◽  
Capital Formation ◽  
Indian Society ◽  
The Social

Deveiopment planning in India, as in other developing countries, has generally been aimed at fostering an industrially-oriented policy as the engine of economic growth. This one-sided economic development, which results in capital formation, creation of urban elites, and underprivileged social classes of a modern society, has led to distortions in the social structure as a whole. On the contrary, as a result of this uneven economic development, which is narrowly measured in terms of economic growth and capital formation, the fruits of development have gone to the people according to their economic power and position in the social structure: those occupying higher positions benefiting much more than those occupying the lower ones. Thus, development planning has tended to increase inequalities and has sharpened divisive tendencies. Victor S. D'Souza, an eminent Indian sociologist, utilizing the Indian census data of 1961, 1971, and 1981, examines the problem of structural inequality with particular reference to the Indian Scheduled Castes and Scheduled Tribes - the two most underprivileged sections of the present Indian society which, according to the census of 1981, comprised 15.75 percent and 7.76 percent of India's population respectively. Theoretically, he takes the concept of development in a broad sense as related to the self-fulfIlment of the individual. The transformation of the unjust social structure, the levelling down of glaring economic and social inequalities, and the concern for the development of the underprivileged are for the author the basic elements of a planned development. This is the theoretical perspective of the first chapter, "Development Planning and Social Transformation".

scholarly journals Impact of Climatic Conditions on the Resveratrol Concentration in Blend of Vitis vinifera L. cvs. Barbera and Croatina Grape Wines

Molecules ◽  
2021 ◽  
Vol 26 (2) ◽  
pp. 401
Author(s):  
Gabriele Rocchetti ◽  
Federico Ferrari ◽  
Marco Trevisan ◽  
Luigi Bavaresco
Keyword(s):  
Vitis Vinifera ◽  
Correlation Coefficients ◽  
Climatic Conditions ◽  
Meteorological Conditions ◽  
Vitis Vinifera L ◽  
Red Wines ◽  
Bioclimatic Indices ◽  
Positive Correlation ◽  
Mean Temperature ◽  
Production Areas

The aim of this work was to investigate the effect of meteorological conditions on resveratrol concentration of red wines produced in Piacenza viticultural region (Italy). In this regard, six representative estates producing Colli Piacentini Gutturnio DOC (a blend of V. vinifera L. cvs. Barbera and Croatina) vintage wines were analysed for trans- and cis-resveratrol over an 8-year period (1998–2005). Grapes were taken from the same vineyard in each estate by using the same enological practices over the entire investigated period. The meteorological conditions corresponding to the production areas were recorded, and bioclimatic indices were calculated as well. Overall, cis-resveratrol concentration was negatively correlated to Huglin index and August mean temperature, whilst positive correlation coefficients were found when considering the Selianinov index and the rainfall of September.

Factors associated with human visceral leishmaniasis cases during urban epidemics in Brazil: a systematic review

Parasitology ◽  
2021 ◽  
pp. 1-9
Author(s):  
Cleya da Silva Santana Cruz ◽  
David Soeiro Barbosa ◽  
Vinícius Cunha Oliveira ◽  
Diogo Tavares Cardoso ◽  
Nathália Sernizon Guimarães ◽  
...  
Keyword(s):  
Systematic Review ◽  
Visceral Leishmaniasis ◽  
Urban Areas ◽  
Grey Literature ◽  
Cochrane Library ◽  
Positive Correlation ◽  
Individual Level ◽  
Factors Associated ◽  
The North ◽  
Unified Health System

Abstract Visceral leishmaniasis (VL) is endemic in 70 countries and has been reported in 12 countries of Latin America, with over 90% of the cases reported in Brazil, where epidemics have occurred since 1980. The objective of this review is to describe the factors associated with the occurrence of VL epidemics in humans in urban areas. A systematic review was conducted according to the PRISMA-P guidelines. The databases PubMed (by Medline), Cochrane Library, Embase, Amed, LILACS and grey literature [Google Scholar and handsearch of the database of the Information System for Notifiable Diseases (SINAN) of Brazil's Unified Health System] were used. The protocol was registered under PROSPERO (CRD42019128998). Climatic, environmental factors and indicators of urban social structure were described as influencing the outbreaks in the North and Northeast regions. Gender and age characteristics were related to a greater chance of developing VL in the Central-West, Northeast and Southeast regions. Vector indicators showed a positive correlation with the incidence of VL in studies in the Northeast region. In the Southeast and Northeast regions, studies revealed the presence of dogs with positive correlation with VL. Knowledge gaps remain regarding the contribution to the increase in the risk factors described in ecological approaches, as no analysis was performed at the individual level, and it is still necessary to discuss the influence of other associated elements in epidemic episodes in the spread of VL.

scholarly journals Analysis of Drought Characteristics in Xilingol Grassland of Northern China Based on SPEI and Its Impact on Vegetation

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Siqin Tong ◽  
Yuhai Bao ◽  
Rigele Te ◽  
Qiyun Ma ◽  
Si Ha ◽  
...  
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Pearson Correlation ◽  
Growing Season ◽  
Vegetation Coverage ◽  
Semiarid Region ◽  
Linear Regression Method ◽  
Upward Trend ◽  
Drought Effect ◽  
Positive Correlation

This research is based on the standardized precipitation evapotranspiration index (SPEI) and normalized difference vegetation index (NDVI) which represent the drought and vegetation condition on land. Take the linear regression method and Pearson correlation analysis to study the spatial and temporal evolution of SPEI and NDVI and the drought effect on vegetation. The results show that (1) during 1961–2015, SPEI values at different time scales showed a downward trend; SPEI-12 has a mutation in 1997 and the SPEI value significantly decreased after this year. (2) During 2000–2015, the annual growing season SPEI has an obvious upward trend in time and the apparent wetting spatially. (3) In the recent 16 years, the growing season NDVI showed an upward trend and more than 80% of the total area’s vegetation increased in Xilingol. (4) Vegetation coverage in Xilingol grew better in humid years and opposite in arid years. SPEI and NDVI had a significant positive correlation; 98% of the region showed positive correlation, indicating that meteorological drought affects vegetation growth more in arid and semiarid region. (5) The effect of drought on vegetation has lag effect, and the responses of different grassland types to different scales of drought were different.

Relationship amongst ResearchGate altmetric indicators and Scopus bibliometric indicators

2015 ◽  
Vol 116 (9/10) ◽  
pp. 564-577 ◽  
Author(s):  
RISHABH SHRIVASTAVA ◽  
Preeti Mahajan
Keyword(s):  
Sample Size ◽  
Correlation Coefficients ◽  
Strong Positive Correlation ◽  
Bibliometric Indicators ◽  
Pearson’S Correlation ◽  
Content Type ◽  
Positive Correlation ◽  
Pearson's Correlation ◽  
Different Characteristics ◽  
The Relationship

Purpose – The purpose of this paper is twofold. First, the study aims to investigate the relationship between the altmetric indicators from ResearchGate (RG) and the bibliometric indicators from the Scopus database. Second, the study seeks to examine the relationship amongst the RG altmetric indicators themselves. RG is a rich source of altmetric indicators such as Citations, RGScore, Impact Points, Profile Views, Publication Views, etc. Design/methodology/approach – For establishing whether RG metrics showed the same results as the established sources of metrics, Pearson’s correlation coefficients were calculated between the metrics provided by RG and the metrics obtained from Scopus. Pearson’s correlation coefficients were also calculated for the metrics provided by RG. The data were collected by visiting the profile pages of all the members who had an account in RG under the Department of Physics, Panjab University, Chandigarh (India). Findings – The study showed that most of the RG metrics showed strong positive correlation with the Scopus metrics, except for RGScore (RG) and Citations (Scopus), which showed moderate positive correlation. It was also found that the RG metrics showed moderate to strong positive correlation amongst each other. Research limitations/implications – The limitation of this study is that more and more scientists and researchers may join RG in the future, therefore the data may change. The study focuses on the members who had an account in RG under the Department of Physics, Panjab University, Chandigarh (India). Perhaps further studies can be conducted by increasing the sample size and by taking a different sample size having different characteristics. Originality/value – Being an emerging field, not much has been conducted in the area of altmetrics. Very few studies have been conducted on the reach of academic social networks like RG and their validity as sources of altmetric indicators like RGScore, Impact Points, etc. The findings offer insights to the question whether RG can be used as an alternative to traditional sources of bibliometric indicators, especially with reference to a rapidly developing country such as India.

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