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Developing and evaluating governance indexes: 10 questions

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In this paper, the authors present a framework of 10 questions to guide both the development and evaluation of composite indicators or indexes of governance and their use in research and policy-making, arguing that less attention should be paid to other issues more commonly highlighted in the literature on governance measurement, that is, descriptive complexity, theoretical fit, the precision of estimates, and "correct weighting".
Abstract
Recent years have seen a proliferation of composite indicators or indexes of governance and their use in research and policy-making. This article proposes a framework of 10 questions to guide both the development and evaluation of such indexes. In reviewing these 10 questions – only six of which, it argues, are critical – the paper advances two broad arguments: First, more attention should be paid to the fundamentals of social science methodology, that is, concept formation, content validity, reliability, replicability, robustness, and the relevance of particular measures to underlying research questions. Second, less attention should be paid to other issues more commonly highlighted in the literature on governance measurement, that is, descriptive complexity, theoretical fit, the precision of estimates, and ‘correct’ weighting. The paper builds on review of the literature and on three years of research in practice in developing a well-known governance index.

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References
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BookDOI

Designing Social Inquiry: Scientific Inference in Qualitative Research

TL;DR: For instance, King, Keohane, Verba, and Verba as mentioned in this paper have developed a unified approach to valid descriptive and causal inference in qualitative research, where numerical measurement is either impossible or undesirable.

Report by the commission on the measurement of economic performance and social progress

TL;DR: As a measure of market capacity and not economic well-being, the authors pointed out that the two can lead to misleading indications about how well-off people are and entail the wrong policy decisions.
Report SeriesDOI

Handbook on Constructing Composite Indicators: Methodology and User Guide

TL;DR: In this paper, the authors present a handbook for constructing and using composite indicators for policy makers, academics, the media and other interested parties, which is concerned with those which compare and rank country performance in areas such as industrial competitiveness, sustainable development, globalisation and innovation.
Journal ArticleDOI

Quantifying Qualitative Analyses of Verbal Data: A Practical Guide

TL;DR: In this article, a method of analyzing qualitative data in an objective and quantifiable way is presented, where the main goal is to formulate an understanding of the representation of knowledge used in cognitive performances and how that representation changes with learning.
BookDOI

Aggregating governance indicators

TL;DR: In this article, a simple variant of an unobserved component model is used to combine the information from different sources into aggregate governance indicators, which can be used to quantify the precision of both individual sources of governance data as well as the aggregated governance indicators.
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