Quantitative Approaches to Comparative Analyses

Data properties and their implications for theory, measurement and modelling

Dados Bibliográficos

ID12869457
AutoresRobert Neumann (0000-0001-6728-4288, Technische Universität Dresden, autor correspondente), Peter Graeff (0000-0003-1110-0384, Christian-Albrechts-Universität zu Kiel)
Ano2015
Volume14
Fascículo4
Páginas385-393
Data de publicação2015-11-06
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEuropean Political Science (JOURNAL)
Identificadores do periódicoISSN: 1680-4333 • E-ISSN: 1682-0983
EditoraPalgrave Macmillan (PUBLISHER • GB)
DOI10.1057/eps.2015.59
OpenAlexW2163082419
IdiomaEN
Citações recebidas1
Referências citadas28

While there is an abundant use of macro data in the social sciences, little attention is given to the sources or the construction of these data. Owing to the restricted amount of indices or items, researchers most often apply the ‘available data at hand’. Since the opportunities to analyse data are constantly increasing and the availability of macro indicators is improving as well, one may be enticed to incorporate even qualitatively inferior indicators for the sake of statistically significant results. The pitfalls of applying biased indicators or using instruments with unknown methodological characteristics are biased estimates, false statistical inferences and, as one potential consequence, the derivation of misleading policy recommendations. This Special Issue assembles contributions that attempt to stimulate the missing debate about the criteria of assessing aggregate data and their measurement properties for comparative analyses

Aggregate (composite · Aggregate data · Comparative politics · Data science · Econometrics · Economics · Macro · Management science · Political science · Politics · Positive economics · Statistics · Computer Science · Corruption and Economic Development · Income, Poverty, and Inequality · Law · Mathematics · Qualitative Comparative Analysis Research