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Erschienen in:
2023 | OriginalPaper | Buchkapitel
Quantification of Textual Responses To Open-Ended Questions In Big Data
verfasst von : Gediminas Merkys, Daiva Bubeliene
Erschienen in: Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies
Verlag: Springer Nature Switzerland
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Abstract
The article summarizes many years of methodological experience with large-scale quantitative surveys to measure satisfaction with public services. Methodological advantages of extremely short questionnaires based on open-ended questions over long inventory-type questionnaires are pointed out. At the same time, the irrationally high costs of coding text responses are emphasized. The corresponding function/operation cannot be completely delegated to the computer. The possibility of triangulating inductive and hypothetical deductive approaches in coding is shown. Based on the Laplace-Moivre and central limit theorems, normality of empirical distributions can be postulated for dichotomous/binary variables, with all the resulting favorable consequences for the statistical analysis process. Digital information generated from qualitative textual information through interpretation and coding requires specific statistical analysis approaches. There is a lack of discourse on this topic in the methodological literature.