scholarly journals Pedalling Out of Sociocultural Precariousness: Religious Conversions amongst the Hindu Dalits to Christianity in Nepal

Religions ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 856
Author(s):  
Bishnu Pariyar ◽  
Sushma Chhinal ◽  
Shyamu Thapa Magar ◽  
Rozy Bisunke
Keyword(s):  
Developing Countries ◽  
Data Collection ◽  
South Asia ◽  
Religious Conversion ◽  
Sociocultural Factors ◽  
Religious Leaders ◽  
Major Topic ◽  
Religious Conversions ◽  
Data Collection And Analysis ◽  
Legal Restrictions

Christian conversion has become a major topic of discussion amongst academics, religious leaders, and policymakers alike in recent decades, especially in developing countries. Nepal has witnessed one of the highest rates of Hinduism to Christianity conversion in South Asia. Whilst there are no legal restrictions for religious conversion in Nepal, the conversion from Hinduism to Christianity appears to be disproportionately higher amongst Dalit communities in Nepal. However, religious conversion amongst Nepalese Dalits is yet to be fully understood. This research uses mixed methodologies of data collection and analysis to explore various issues related to religious conversion amongst Hindu Dalits into Christianity in Nepal. Results indicate whilst elderly and female Dalits tended to convert to Christianity, a range of factors specific to personal and communal biographies including social, cultural, emotional, and spiritual interplay together to shape the process of religious conversion amongst the Dalits. The paper concludes that the study of religious conversion should consider a range of sociocultural factors to fully understand the dynamics of religious conversion amongst Dalits.

scholarly journals Ideas and Perspectives: Enhancing research and monitoring of carbon pools and land-to-atmosphere greenhouse gases exchange in developing countries

2021 ◽  
Author(s):  
Dong-Gill Kim ◽  
Ben Bond-Lamberty ◽  
Youngryel Ryu ◽  
Bumsuk Seo ◽  
Dario Papale
Keyword(s):  
Developing Countries ◽  
Data Collection ◽  
Low Cost ◽  
Climate Change Impacts ◽  
Appropriate Technology ◽  
Local Staff ◽  
Moral Importance ◽  
Data Collection And Analysis ◽  
C Cycle

Abstract. Carbon (C) and greenhouse gas (GHG) research has traditionally required data collection and analysis using advanced and often expensive instruments, complex and proprietary software, and skilled technicians. Partly as a result, relatively little C and GHG research has been conducted in resource-constrained developing countries. At the same time, these are the same countries and regions in which climate-change impacts will likely be strongest, and in which major science uncertainties are centred, given the importance of dryland and tropical systems to the global C cycle. Increasingly, scientific communities have adopted appropriate technology and approach (AT&A) for C and GHG research, which focuses on low-cost and low-technology instruments, open source software and data, and participatory and networking-based research approaches. Adopting AT&A can mean acquiring data with fewer technical constraints and lower economic burden and is thus a strategy for enhancing C and GHG research in developing countries. However, AT&A can be characterized by higher uncertainties; these can often be mitigated by carefully designing experiments, providing clear protocols for data collection, and monitoring and validating the quality of obtained data. For implementing this approach in developing countries, it is first necessary to recognize the scientific and moral importance of AT&A. At the same time, new AT&A techniques should be identified and further developed. All these processes should be promoted in collaboration with local researchers and through training local staff and encouraged for wide use and further innovation in developing countries.

7. What is Data?

2020 ◽  
pp. 186-208
Author(s):  
Sandra Halperin ◽  
Oliver Heath
Keyword(s):  
Big Data ◽  
Data Collection ◽  
International Relations ◽  
Data Quality ◽  
Quantitative Data ◽  
Research Question ◽  
Validity And Reliability ◽  
Major Topic ◽  
Data Collection And Analysis ◽  
Quality Checklist

This chapter considers the main types of data used in Politics and International Relations, as well as the main criteria by which to judge whether the data collected is good or not. It first describes the steps involved in the process of thinking about what data or evidence is relevant to answering a research question before discussing the importance of addressing issues of validity and reliability in research. Some of these issues are illustrated by referring to recent attempts to measure corruption, a major topic of interest in Politics and International Relations. The chapter also examines the issue of case selection as well as the collection of qualitative and quantitative data using methods such as interviewing and observation. Finally, it analyses the so-called ‘big data’ revolution in data collection and analysis, and provides a data quality checklist.

Development of a DNP measurement grid to increase the rigor of doctor of nursing practice students' data collection and analysis methods

2020 ◽  
Vol 36 (6) ◽  
pp. 666-672
Author(s):  
Linda L. Costa ◽  
Debra Bingham ◽  
Carla L. Storr ◽  
Margaret Hammersla ◽  
Jeffrey Martin ◽  
...  
Keyword(s):  
Data Collection ◽  
Nursing Practice ◽  
Doctor Of Nursing Practice ◽  
Analysis Methods ◽  
Data Collection And Analysis

scholarly journals Loneliness Among the Elderly in Rural Contexts: A Mixed-Method Study Protocol

2021 ◽  
Vol 20 ◽  
pp. 160940692199686
Author(s):  
Borja Rivero Jiménez ◽  
David Conde-Caballero ◽  
Lorenzo Mariano Juárez
Keyword(s):  
Data Collection ◽  
Mixed Method ◽  
Rural Areas ◽  
Population Group ◽  
The Elderly ◽  
Interaction Patterns ◽  
Structured Interviews ◽  
Strict Adherence ◽  
Data Collection And Analysis ◽  
Technological Tools

Loneliness among the elderly has become a pressing issue in Western societies. In the Spanish context, the problem of the so-called “empty” Spain disproportionately affects this population group—elderly individuals living in rural areas with low population density, and therefore at higher risk of social exclusion and isolation. We introduce here a mixed-method, quantitative-qualitative research protocol, triangulated with technological tools, designed to improve both data acquisition and subsequent data analysis and interpretation. This study will take place in a rural locality in the Extremadura region (Spain), chosen according to a particular socio-demographic profile. The De Jong Gierveld Loneliness Scale will be used on a cohort of 80 people over 65 years old. Within this cohort, a smaller sample of 20–30 individuals will be selected for semi-structured interviews about their beliefs and experiences of loneliness. Finally, data gathered from technological tools (smartbands, Bluetooth sensors) will allow us to monitor social interactions and to map daily loneliness/interaction patterns. Data will be triangulated by analyzing and comparing the empirical material gathered through these different methods and tools. Strict adherence to ethical standards for data protection and handling will be essential through data collection and analysis. As well as providing insights into the phenomenon of loneliness in old age, the use of different methods and tools for data collection will provide the basis for an epistemological reflection on the scope and limits of each one of these methods.

scholarly journals Thinking about police data: Analysts’ perceptions of data quality in Canadian policing

2021 ◽  
pp. 0032258X2110214
Author(s):  
Christopher D O’Connor ◽  
John Ng ◽  
Dallas Hill ◽  
Tyler Frederick
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Data Quality ◽  
Research Culture ◽  
Police Services ◽  
Police Data ◽  
Data Collection And Analysis ◽  
Quality Issues

Policing is increasingly being shaped by data collection and analysis. However, we still know little about the quality of the data police services acquire and utilize. Drawing on a survey of analysts from across Canada, this article examines several data collection, analysis, and quality issues. We argue that as we move towards an era of big data policing it is imperative that police services pay more attention to the quality of the data they collect. We conclude by discussing the implications of ignoring data quality issues and the need to develop a more robust research culture in policing.

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