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Anna Green
Kathleen Troup

The term ‘quantitative history’ covers a range of methodologies and theoretical bases, linked by their reliance on numerical data. Almost all historical writing involves quantification, however, whether implicit or explicit. We may produce statistics concerning literacy among merchants’ daughters in sixteenth-century Italy, or we may model the Canadian economy, referring to gross national product. We may compare individuals in the past according to the age at which they entered parliament or the size of their families. Or we may say, using Roderick Floud

in The houses of history
Owen Price
Karina Lovell

Chapter 3: Quantitative research design Owen Price and Karina Lovell Chapter overview Quantitative research uses large samples and, as such, the findings of well-conducted studies can often be generalised to larger populations. However, it is important that studies are well-designed to avoid errors in their interpretation and/or the reporting of inaccurate results. Misleading results from quantitative studies can have serious negative implications such as wasting public money on flawed policies and subjecting service users to ineffective or harmful treatments

in A research handbook for patient and public involvement researchers
Patrick Callaghan
Penny Bee

Quantitative Data Analysis Patrick Callaghan and Penny Bee Chapter overview Quantitative data analysis makes sense of numerical data. We often refer to quantitative data analysis as statistical analysis, and you may see this term used in published research papers. We can use numbers to summarise the experiences or characteristics of a group of participants, for example their average age or the number of symptoms they report. We can also use numbers to look at people’s behaviours, experiences and views, for example the number of people using mental health

in A research handbook for patient and public involvement researchers
Louise Beaumais

Introduction In 2017, at the opening event of The Centre for Humanitarian Data (or Centre for Humdata) in The Hague, Mark Lowcock, the former United Nations Under-Secretary-General for Humanitarian Affairs, praised the potential of quantitative data: 1 We have the opportunity to see things as they are happening, but also crucially to predict what’s going to happen next … that is where we see a really big

Journal of Humanitarian Affairs
Steven King

4 Treating the sick poor: a quantitative overview Introduction On 27 July 1806, Samuel Tibbs, overseer of Aldbury (Hertfordshire), wrote to his counterpart in St Albans (Hertfordshire) authorising payment of 2s 6d to Mrs Narroway ‘in her distress’. He added, however, that ‘we [the vestry] do not think she ought to be in the distress she says she is in’ and asked his fellow overseer to ‘have the goodness to attend her, and if what she relates is true, I will thank you to inform me of that or anything else relating to her, wishing to do all that is absolutely

in Sickness, medical welfare and the English poor, 1750–1834
A Case Study of the Irish Film Board 1993–2013
Roddy Flynn
Tony Tracy

This article sets out to reinvigorate national cinema studies in an Irish context through a quantitative analysis of films financed by the Irish Film Board between 1993 and 2013. In constructing and coding a database of titles produced with the aid of state finance during this period, the authors argue for a methodology that broadens the inductive approaches of textual analysis that have dominated discussions of Irish cinema to date. By establishing recurring genres, narrative patterns, themes and character types present in IFB-funded films during this period, this article demonstrates how the professional objectives of IFB personnel have shaped institutional funding outcomes.

Film Studies
Malcolm Pemberton
Nicholas Rau

Definite and indefinite integrals: calculation in simple case, and numerical approximation by the trapezium rule and Simpson’s rule. Economic applications: obtain total from marginal quantities, present discounted value of an income stream in continuous time, Lorenz curve and Gini coefficient., consumer surplus.

in Mathematics for Economists
Brendan T. Lawson

Introduction Quantification is an essential component of contemporary humanitarianism. It has manifested most clearly in the proliferation of indexes, metrics, indicators and rankings across the humanitarian sector: CATO’s Human Freedom Index rates each country on a scale of 0–10 to judge the freedom they allow their citizens, the UN’s Integrated Phase Classification categorises countries’ food insecurity into five quantitatively-based tiers to

Journal of Humanitarian Affairs
Open Access (free)
Interpreting Violence on Healthcare in the Early Stage of the South Sudanese Civil War
Xavier Crombé
Joanna Kuper

the provision of healthcare in the area? Concerns expressed over the last decade by medical aid organisations and public health institutions regarding attacks on health facilities and personnel have generated a growing demand for multi-country or global quantitative studies on the issue. In contrast, efforts to produce substantiated accounts of incidents in specific contexts are still rare. Often methodologically wanting and more normative than analytical in their approach

Journal of Humanitarian Affairs
Joël Glasman
Brendan Lawson

Nine years after the ‘data revolution’ (UN, 2014), the data frenzy in humanitarian aid has not abated. The number of numbers is on the rise. Data on war casualties, refugees, internally displaced persons (IDPs), malnutrition, shelter, education – all domains have increased their quantitative capacity. This has fed into a growth in ratings, indicators and tables: there have been over 160 global performance indicators, with more than eight new

Journal of Humanitarian Affairs