TY - JOUR
T1 - New frontiers for qualitative textual data analysis
T2 - a multimethod statistical approach
AU - Figura, Mariachiara
AU - Fraire, Mary
AU - Durante, Angela
AU - Cuoco, Angela
AU - Arcadi, Paola
AU - Alvaro, Rosaria
AU - Vellone, Ercole
AU - Piervisani, Loredana
N1 - Publisher Copyright:
© 2023 The Author(s).
PY - 2023/7/1
Y1 - 2023/7/1
N2 - 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.
AB - 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.
KW - Automatic textual analysis
KW - Multidimensional qualitative method
KW - Multimethod approach
KW - Qualitative research
KW - Rigour
UR - http://www.scopus.com/inward/record.url?scp=85165519094&partnerID=8YFLogxK
U2 - 10.1093/eurjcn/zvad021
DO - 10.1093/eurjcn/zvad021
M3 - Article
SN - 1474-5151
VL - 22
SP - 547
EP - 551
JO - European Journal of Cardiovascular Nursing
JF - European Journal of Cardiovascular Nursing
IS - 5
ER -