In statistics andresearch design, anindex is acomposite statistic – a measure of changes in a representative group of individual data points, or in other words, a compound measure that aggregates multipleindicators.[1][2] Indices – also known asindexes andcomposite indicators – summarize and rank specific observations.[2]
Much data in the field of social sciences and sustainability are represented in various indices such asGender Gap Index,Human Development Index or theDow Jones Industrial Average. The ‘Report by the Commission on the Measurement of Economic Performance and Social Progress’, written byJoseph Stiglitz,Amartya Sen, andJean-Paul Fitoussi in 2009[3] suggests that these measures have experienced a dramatic growth in recent years due to three concurring factors:
According to Earl Babbie, items in indices are usually weighted equally, unless there are some reasons against it (for example, if two items reflect essentially the same aspect of a variable, they could have a weight of 0.5 each).[4]
According to the same author,[5] constructing the items involves four steps. First, items should be selected based on theircontent validity, unidimensionality, the degree ofspecificity in which a dimension is to be measured, and their amount ofvariance. Items should be empirically related to one another, which leads to the second step of examining their multivariate relationships. Third, index scores are designed, which involves determining score ranges and weights for the items. Finally, indices should be validated, which involves testing whether they can predict indicators related to the measured variable not used in their construction.[5]
A handbook for the construction of composite indicators (CIs) was published jointly by theOECD and by the European Commission'sJoint Research Centre in 2008.[6] The handbook – officially endorsed by the OECD high level statistical committee, describe ten recursive steps for developing an index:[7]
As suggested by the list, many modelling choices are needed to construct a composite indicator, which makes their use controversial.[6] The delicate issue of assigning and validating weights is discussed e.g. in.[8] A sociological reading of the nature of composite indicators is offered byPaul-Marie Boulanger, who sees these measures at the intersection of three movements:[9]
A subsequent work by Boulanger[10] analyses composite indicators in light of the social system theories ofNiklas Luhmann to investigate how different measurements of progress are or are not taken up.
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