Abstract
Qualitative descriptive research can be used when researchers are seeking to find the “how,” “what,” or “when” of phenomena. The most common qualitative descriptive analysis methods are content and thematic analyses. Data triangulation through content analysis and natural language processing was first described in 2018 for the analysis of nurse-to-nurse communication in an acute care setting. The purpose of this article is to discuss a within-methods data triangulation of interviews done with nurses and nursing leaders in Magnet- and non–Magnet-designated hospitals through integration and application of content analysis, code quantification via the Goodwin statistic, and natural language processing.
Publisher
Ovid Technologies (Wolters Kluwer Health)