New frontiers for qualitative textual data analysis: a multimethod statistical approach
| Autor: | Mariachiara Figura, Mary Fraire, Angela Durante, Angela Cuoco, Paola Arcadi, Rosaria Alvaro, Ercole Vellone, Loredana Piervisani |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | European Journal of Cardiovascular Nursing. |
| ISSN: | 1873-1953 1474-5151 |
| DOI: | 10.1093/eurjcn/zvad021 |
| Popis: | In recent years, the increase in textual data production has meant that researchers require faster text analysis techniques and software to reliably produce knowledge for the scientific–nursing community. Automatic text data analysis opens the frontiers to a new research area combining the depth of analysis typical of qualitative research and the stability of measurements required for quantitative studies. Thanks to the statistical–computational approach, it proposes to study more or less extensive written texts produced in natural language to reveal lexical and linguistic worlds and extract useful and meaningful information for researchers. This article aims to provide an overview of this methodology, which has been rarely used in the nursing community to date. |
| Databáze: | OpenAIRE |
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