Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
712,638
result(s) for
"Indicators"
Sort by:
Handbook on health inequality monitoring : with a special focus on low- and middle-income countries
Monitoring health inequality is a practice that fosters accountability and continuous improvement within health systems. The cycle of health inequality monitoring helps to identify and track health differences between subgroups providing evidence and feedback to strengthen equity-oriented policies programmes and practices. Through inequality monitoring and the use of disaggregated data countries gain insight into how health is distributed in the population looking beyond what is indicated by national averages. Data about health inequalities underlie health interventions that aim to reach vulnerable populations. Furthermore they constitute an evidence base to inform and promote equity-oriented health initiatives including the movement towards equitable universal health coverage. _x000D__x000D_ _x000D__x000D_ This Handbook is a user-friendly resource developed to help countries establish and strengthen health inequality monitoring practices. The handbook elaborates on the steps of health inequality monitoring including selecting relevant health indicators and equity stratifiers obtaining data analysing data reporting results and implementing changes. Throughout the handbook examples from low- and middle-income countries are presented to illustrate how concepts are relevant and applied in real-world situations; informative text boxes provide the context to better understand the complexities of the subject. The final section of the handbook presents an expanded example of national-level health inequality monitoring of reproductive maternal and child health. _x000D__x000D_.
eBook
For good measure : an agenda for moving beyond GDP
\"A consensus has emerged among key experts that our conventional economic measures are out of sync with how most people experience their lives. GDP, they argue, is a poor and outmoded measure of our well-being. The global movement to advance beyond GDP has attracted some of the world's leading economists, statisticians, and social thinkers who have worked collectively to articulate new approaches to measuring economic well-being and social progress. In the decade since the 2008 economic crisis, these experts have come together to create a new \"dashboard\" of indicators of what actually makes for better lives. In the first book of its kind, leading economists from around the world-including Thomas Piketty, Emmanuel Saez, Jacob Hacker, Franًcois Bourguignon, Alan Krueger, and Joseph E. Stiglitz-describe a range of fascinating metrics-from economic insecurity and environmental sustainability to inequality of opportunity and levels of trust and resilience-that can at least supplement the simplistic measure of gross domestic product, providing a far more nuanced and accurate account of societal health and well-being. This groundbreaking volume is sure to provide a major source of ideas and inspiration for one of the most important intellectual movements of our time\"-- Provided by publisher.
Book
Social Media and Twitter Data Quality for New Social Indicators
Social media represent an excellent opportunity for the construction of timely socio-economic indicators. Despite the many advantages of investigating social media for this purpose, however, there are also relevant statistical and quality issues. Data quality is an especially critical topic. Depending on the characteristics of the social media a researcher is using, the problems that arise related to errors are different. Thus, no one unique quality evaluation framework is suitable. In this paper, the quality of social media data is discussed considering Twitter as the reference social media. An original quality framework for Twitter data is introduced. A reformulation of the traditional quality dimensions is proposed, and the new quality aspects are discussed. The main sources of errors are identified, and examples are provided to show the process of finding evidence of these errors. The conclusion affirms the importance of using a mixed methods approach, which involves incorporating both qualitative and quantitative evaluations to assess data quality. A collection of good practices and proposed indicators for quality evaluation is provided.
Journal Article
Indicators for assessment of soil quality: a mini-review
Soil quality is the competence of soil to perform necessary functions that are able to maintain animal and plant productivity of the soil. Soil consists of various physical, chemical, and biological parameters, and all these parameters are involved in the critical functioning of soil. There is a need for continuous assessment of soil quality as soil is a complex and dynamic constituent of Earth’s biosphere that is continuously changing by natural and anthropogenic disturbances. Any perturbations in the soil cause disturbances in the physical (soil texture, bulk density, etc.), chemical (pH, salinity, organic carbon, etc.), and biological (microbes and enzymes) parameters. These physical, chemical, and biological parameters can serve as indicators for soil quality assessment. However, soil quality assessment cannot be possible by evaluating only one parameter out of physical, chemical, or biological. So, there is an emergent need to establish a minimum dataset (MDS) which shall include physical, chemical, and biological parameters to assess the quality of the given soil. This review attempts to describe various physical, chemical, and biological parameters, combinations of which can be used in the establishment of MDS.
Journal Article
Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research
Social Indicators Research (SIR) year by year has consolidated its preeminent position in the debate concerning the study of all the aspects of
quality of life
. The need of a journal focused on the quantitative evaluation of social realities and phenomena dating back to the seventies, when a new branch of Social Science—called
Social Indicators Research
—came into the international scientific landscape. This paper aims at reviewing the whole collection of publications appeared on SIR from 1989 to 2018, providing a complete overview of the main factor that affected the journal in the last 30 years. The approach followed to analyse this extensive
corpus
of documents relies upon the theoretical framework of bibliometric studies.
Journal Article