scholarly journals The Relationship of Academic Indicators and Professional Disposition to Teaching Skills: A Secondary Data Analysis

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Kayla Smith ◽  
Justin J. Wageman ◽  
Sarah K. Anderson ◽  
Stacy Duffield ◽  
James Nyachwaya
Keyword(s):  
Data Analysis ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Teaching Skills ◽  
Relationship Of ◽  
The Relationship

scholarly journals Spatial Analysis Of Buffalo Development In Brebes Regency

2020 ◽  
Vol 1 (1) ◽  
pp. 13
Author(s):  
Nanang Nur Rozaq ◽  
Mochamad Sugiharto
Keyword(s):  
Data Analysis ◽  
Spatial Analysis ◽  
Correlation Analysis ◽  
Rice Plant ◽  
Secondary Data ◽  
Spatial Dimension ◽  
Secondary Data Analysis ◽  
Analysis Method ◽  
Location Quotient ◽  
The Relationship

The study on spatial dimension of buffalo development in Brebes is intended to (1) analyze the regional shifting patterns of buffalo development within a period of 5 years (2012-2016) and (2) to identify the relationship between the number of farmland areas and the population of buffalo in Brebes Regency. This research employs a secondary data analysis method by utilizing the available data analyzed using a spatial analysis. Location Quotient (LQ) analysis is conducted to analyze the regional shifting patterns of buffalo followed with a product moment correlation analysis to identify the relationship between the number of farmland areas and the population of buffalo livestock. The results show that the buffalo population is related to the number of ​​rice plant areas (P <0.05) as well as that of the peanut plant areas (P <0.01). For the last 5 years (2012-2016), there is no regional shifting pattern in the center for buffalo development in Brebes Regency. The centralization of buffalo develoment in Brebes Regency is located in Salem, Bumiayu, Sirampog, Tonjong, Larangan and Songgom sub-district

scholarly journals Relational care and co-operative endeavour – Reshaping dementia care through participatory secondary data analysis

Dementia ◽  
2018 ◽  
Vol 19 (4) ◽  
pp. 1151-1172 ◽  
Author(s):  
Charlotte L Clarke ◽  
Jane Wilcockson ◽  
Julie Watson ◽  
Heather Wilkinson ◽  
Sarah Keyes ◽  
...  
Keyword(s):  
Data Analysis ◽  
Social Inclusion ◽  
Ethic Of Care ◽  
Cultural Theory ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
People With Dementia ◽  
Operative Care ◽  
Relationship Of ◽  
Relational Care

Dementia is emerging from the shadows of societal exclusion and stigma. The engagement within society for people who are marginalised is co-constructed through the everyday practices that take place between them and those around them. However, this is inherently political, positioning people as active and activist in the relationship of their lives with their communities. The research aimed to interrogate an existing qualitative dataset in partnership with people living with dementia to inform the development of a way of working with people with dementia that is empowering. In this qualitative secondary data analysis project, we (1) analysed data through two theoretical lenses: Douglas’ cultural theory of risk and Tronto’s Ethic of Care, and (2) co-analysed the data together with people living with dementia during 16 workshops. The design involved cycles of presenting, interpreting, representing and reinterpreting the data and findings between multiple stakeholders. We identified a granular understanding of the way relationships change for people with dementia and how subtle factors and nuanced behaviour contribute to social exclusion, or support social inclusion. The results support relational care through the co-operative endeavour (of co-operative communication, co-operative action and co-operative care) in promoting the inclusion of people living with dementia.

scholarly journals HUBUNGAN DANA PENANGGULANGAN KEMISKINAN PEMERINTAH DAN ZISWAF TERHADAP JUMLAH PENDUDUK MISKIN

2020 ◽  
Vol 6 (8) ◽  
pp. 1637
Author(s):  
M. Muammar Ramadhan ◽  
Eko Fajar Cahyono
Keyword(s):  
Data Analysis ◽  
Poverty Alleviation ◽  
Poverty Reduction ◽  
Negative Relationship ◽  
Secondary Data ◽  
Research Problem ◽  
Poor People ◽  
Analysis Techniques ◽  
Relationship Of ◽  
The Relationship

The purpose of this study is to analyze the relationship of poverty reduction fund and ZISWAF to the number of poor people in Indonesia. This study uses quantitative approach. The data used are secondary data from official website baznas, kemenkeu and bps. Data analysis techniques used to answer the research problem and test the research hypothesis using Spearman correlation.Based on the results of the analysis known poverty alleviation funds have a negative relationship to the number of poor people in Indonesia, while ZISWAF have a non-negative relationship to the number of poor educators in Indonesia.Keywords: Poverty Reduction Fund, ZISWAF, Poverty

scholarly journals Personalized religiosity and political activism among Serbian citizens

2020 ◽  
Vol 10 (2) ◽  
pp. 49-67
Author(s):  
Andrijana Maksimović
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Political Participation ◽  
Empirical Research ◽  
Secondary Data ◽  
Political Activism ◽  
Secondary Data Analysis ◽  
Life Force ◽  
The Relationship

This paper uses the data collected by the empirical research of personalized religiosity and political activism, as well as the secondary data analysis of European Value Study - EVS. Personalized religiosity is defined through the following aspects: the belief in a divine being / spirit / life force; inner spirituality; interest in the sacred / supernatural; finding solace in faith; prayer and / or meditation. In operational terms, political activism consists of five variables: sign petitions and join boycotts, participate in legal demonstrations, join unofficial strikes, occupy business facilities or factories. The aim of the paper is to investigate the relationship between a so-called personalized. secular religiosity and political activism as a form of political participation among Serbian citizens. Using regression analysis, we found that personalized religiosity is a positive but not statistically significant predictor of political activism.

Demonstrating Nursing Excellence Through Equality: The Relationship Between Magnet® Status and Organizational LGBTQ Client Services and Support

2019 ◽  
Vol 31 (2) ◽  
pp. 209-215
Author(s):  
Christopher W. Blackwell
Keyword(s):  
Health Care ◽  
Human Rights ◽  
Data Analysis ◽  
Nursing Care ◽  
Health Care Organizations ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Magnet Recognition ◽  
The Relationship ◽  
Health Care Treatment

Introduction: Human Rights Campaign annually scores health care treatment of lesbian, gay, bisexual, transgender, and queer (LGBTQ) employees and clients among four measured dimensions in its Healthcare Equality Index (HEI). The purpose of this study was to determine if the score organizations earned on the 2018 HEI dimension measuring LGBTQ client services and support correlated with organizations’ American Nurses Credentialing Center Magnet® recognition status, a distinction of nursing excellence. Method: Using a secondary data analysis approach, data obtained from Human Rights Campaign that specifically rated LGBTQ client services and support in 2018 HEI participating organizations ( n = 626) were compared with the most recent inventory of American Nurses Credentialing Center Magnet health care organizations ( n = 477). Results: LGBTQ client services and support HEI scores positively correlated with Magnet status ( p = .0002). Discussion: Provision of LGBTQ client services and Magnet recognition is strongly related to higher quality nursing care, suggesting organizations earning Magnet recognition provide more equitable services to its LGBTQ clients.

scholarly journals Applied Open Science for Secondary Data Analysis and Meta-Analysis

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 568-568
Author(s):  
Jennifer Lodi-Smith
Keyword(s):  
Data Analysis ◽  
Meta Analysis ◽  
Secondary Data ◽  
Self Esteem ◽  
Open Science ◽  
Secondary Data Analysis ◽  
Sensitive Data ◽  
Complex Projects ◽  
Meta Analyses ◽  
The Relationship

Abstract This talk will provide guidance on the practicalities of open science for secondary data analysis and meta-analyses. Example studies will provide practical considerations for preregistering complex projects, insights into strategies for transparently reporting deviations from preregistrations, advice on deciding when and how to share sensitive data, and tips on transparent documentation of analysis code. Examples will be drawn from an ongoing meta-analysis of the relationship between self-concept clarity and self-esteem (https://osf.io/sa2bx/), the Rochester Adult Longitudinal Study (https://osf.io/ya4ph/), and the Aging and Autism Study (https://osf.io/g9c3e/). The pedagogical value of preregistration will be emphasized throughout the talk.

scholarly journals Relationship between women’s decision-making power over their own health care and use of modern contraception in the Democratic Republic of the Congo: a cross-sectional secondary data analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Megan G. Butler ◽  
Melanie Walker ◽  
Lesley A. Pablo ◽  
Susan A. Bartels
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Logistic Regression ◽  
Data Analysis ◽  
Democratic Republic ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Cross Sectional ◽  
Republic Of The Congo ◽  
The Relationship

Abstract Background In sub-Saharan Africa, the use of modern contraception (MC) is a critical intervention aimed at reducing mortality rates associated with unintended, high-risk pregnancies. However, among Congolese women aged 15–49, the prevalence of MC use is low. Research suggests that women’s general participation in decision-making is important in increasing MC use. However, little is known about the specific role of women’s decision-making power over their own health care and how it relates to MC use. Thus, this study aimed to investigate the relationship between women’s decision-making power over their own health care and use of MC. Methods A cross-sectional secondary data analysis was conducted using the most recent data from the 2013–2014 Democratic Republic of the Congo (DRC) Demographic and Health Survey. Women who were considered in need of contraception based on their family planning preferences were included in the study population (N = 6422). Multivariate logistic regression was used to determine whether women’s decision-making power over their own health care was associated with the use of MC. Results Only one in ten women reported using a modern method of contraception. Logistic regression showed that women who made decisions alone regarding their own health care were more likely to use MC than women who had no say in these decisions, even after controlling for important covariates (OR 1.48; 95% CI 1.00, 2.17). Conclusion The results of this study lend further support that promoting women’s autonomy and right to independently make decisions regarding their own health may be important in increasing the use of MC in the DRC. However, in order to effectively empower women to negotiate for the use of MC, qualitative research is needed to further assess the relationship between decision-making power and MC use.

Sign in / Sign up

Export Citation Format

Share Document