Secondary Analysis for Digitized Data: Its Utility in Finding and Selecting Indicators of Social Well-Being

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Author(s): Gennaro Iorio (University of Salerno, Italy), Marco Palmieri (Sapienza University of Rome, Italy)and Geraldina Roberti (University of L'Aquila, Italy)
Copyright: 2022
Pages: 22
Source title: Handbook of Research on Advanced Research Methodologies for a Digital Society
Source Author(s)/Editor(s): Gabriella Punziano (University of Naples Federico II, Italy)and Angela Delli Paoli (University of Salerno, Italy)
DOI: 10.4018/978-1-7998-8473-6.ch049

Keywords: Information Science Reference / Library & Information Science / Research Methods

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Abstract

Secondary analysis for quantitative data is a social research method traditionally employed for statistical analysis of administrative data. In the new digital society, this old research method that pre-existed the emergence of the new digital environment has been digitized to carry out its valuable activity in doing science. In this chapter, the secondary analysis for digitized data is illustrated. Thanks to the growing availability of datasets digitized on the web, the scholars of social well-being use the secondary analysis to inquiry this phenomenon through a cross-national perspective. The authors present the empirical study of World Love Index, in which the utility of the secondary analysis in finding and selecting valid indicators of social well-being is experienced.

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Secondary Analysis for Digitized Data: Its Utility in Finding and Selecting Indicators of Social Well-Being

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