New frontiers for qualitative textual data analysis: a multimethod statistical approach

被引：6

作者：

Figura, Mariachiara ^{[1
]}

Fraire, Mary ^{[2
]}

Durante, Angela ^{[3
]}

Cuoco, Angela ^{[1
]}

Arcadi, Paola ^{[1
]}

Alvaro, Rosaria ^{[1
]}

Vellone, Ercole ^{[1
]}

Piervisani, Loredana ^{[1
]}

机构：

[1] Univ Roma Tor Vergata, Dept Biomed & Prevent, Biomed & Prevent Dept, via Montpellier 1, I-00133 Rome, Italy

[2] Univ Roma La Sapienza, Dept Scial Res & Sociol Methodol RiSMeS, Cso Italia 38A, I-00198 Rome, Italy

[3] Univ La Rioja, Predept Nursing Unit, Calle Duquesa Victoria 88, Logrono 10, Spain

来源：

EUROPEAN JOURNAL OF CARDIOVASCULAR NURSING | 2023年 / 22卷 / 05期

关键词：

Qualitative research; Automatic textual analysis; Multimethod approach; Multidimensional qualitative method; Rigour; FAILURE SELF-CARE; CHALLENGES; STRATEGIES;

D O I：

10.1093/eurjcn/zvad021

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

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.

引用

页码：547 / 551

页数：5

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