Grounded theory, as an evolving qualitative research method, is a product of its history as well as of its epistemology. Within the literature, there have been a number of discussions focusing on the differences between Glaser's (1978, 1992) and Strauss's (1987, 1990) versions of grounded theory. The purpose of this article is to add a level of depth and breadth to this discussion through specifically exploring the Glaser-Strauss debate by comparing the data analysis processes and procedures advocated by Glaser and by Strauss. To accomplish this task, the authors present the article in two sections. First, they provide relevant background information on grounded theory as a research method. Second, they pursue a more in-depth discussion of the positions of Glaser, using Glaser's work, and Strauss, using Strauss's and Strauss and Corbin's (1990) work, regarding the different phases of data analysis, specifically addressing the coding procedures, verification, and the issue of forcing versus emergence.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/1049732305285972 | DOI Listing |
Sci Rep
January 2025
Automotive Business School, Hubei University of Automotive Technology, Shiyan, 442000, Hubei, China.
In the current complex economic environment, entrepreneurial enterprises, as a crucial force in China's economic transformation, have vital survival and development strategies. This study is grounded in resource-based theory, integrating strategic management and contingency theories. It establishes a theoretical model based on the influence pathway of "entrepreneurial orientation-market orientation-entrepreneurial performance", incorporating environmental uncertainty as a moderating variable.
View Article and Find Full Text PDFInt J Nurs Stud
December 2024
School of Nursing and Midwifery, Edith Cowen University, Australia. Electronic address:
Background: Recognition and response to clinical deterioration of hospitalised patients is a worldwide health priority area. In response to this concern, international bodies have implemented early warning systems to help clinicians keep people safe and prevent patient deterioration. Registered nurses hold a significant role in managing care provision and utilise early warning system tools to support their clinical judgement when making decisions about patient care.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Computer Science, IT University of Copenhagen, Copenhagen, Denmark.
Engaging in the deliberate generation of abnormal outputs from Large Language Models (LLMs) by attacking them is a novel human activity. This paper presents a thorough exposition of how and why people perform such attacks, defining LLM red-teaming based on extensive and diverse evidence. Using a formal qualitative methodology, we interviewed dozens of practitioners from a broad range of backgrounds, all contributors to this novel work of attempting to cause LLMs to fail.
View Article and Find Full Text PDFAm J Community Psychol
January 2025
University of Virginia, Charlottesville, Virginia, USA.
Migrant youth from Latin America who arrive in the United States are faced with a social and political context that dehumanizes migrants of color. These anti-immigrant sentiments become reflected in federal and state policies that deny migrants rights to freedom and safety. The present paper examined how the U.
View Article and Find Full Text PDFJ Interprof Care
January 2025
Research group, FAITH research, Leeuwarden, Groningen, The Netherlands.
The growing complexity of care and healthcare workforce shortages in the Netherlands necessitates exploring interprofessional collaboration (IPC). However, the predominant single-professional education may result in a professional identity (PI) among healthcare students, which may not support successful IPC. Internships in student-run interprofessional learning wards (SR-IPLW) could foster interprofessional identity (IPI) development.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!