An Array of Qualitative Data Analysis Tools: A Call for Data Analysis Triangulation.
By Nancy L. Leech, Anthony J. Onwuegbuzie. 2007
1,556 citations recorded by the source corpus.
Subfields: Education
View Paper: https://www.semanticscholar.org/paper/d35d781a0686a9cbffa05664f946c8f6ac57c50f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- Anthony J. Onwuegbuzie
- Nancy L. Leech
- Seçil Akyıldız
- Valerie Tharp Byers
- Kathleen M. T. Collins
- J. Nelson
- Rebecca M. Bustamante
- Rebecca K. Frels
Citations in the corpus
- Guidelines for Conducting and Reporting Mixed Research in the Field of Counseling and beyond. (2010, background): “For a comprehensive, in-depth description of an array of qualitative data analysis techniques, we refer the reader to Leech and Onwuegbuzie (2007, 2008).”
- An Exemplar for Teaching and Learning Qualitative Research (2012, methodology): “In addressing credibility, transferability, dependability, and conformability of data, a pre-analysis decision model (Leech & Onwuegbuzie, 2007) was utilized to explore biases, assumptions in data analysis, and intra-coder agreement through member-checking for informant feedback.”
- A Meta-Study of Black Male Mental Health and Well-Being (2010, methodology): “On the other hand, researchers use constant comparative analysis (Glaser & Strauss, 1967) to generate a theory or set of themes, and it is commonly used with any narrative or textual data (Leech & Onwuegbuzie, 2007).”
- Co-Creation Experiences: Attention and Memorability (2016, background): “The rich information gained from interviews is of great value for the development of a subsequent quantitative data collection instrument (Dong & Siu, 2013; Leech & Onwuegbuzie, 2007).”
- An Online Engagement Framework for Higher Education (2018, methodology): “Although often associated with grounded theory, constant comparison is a useful method for theme identification from any text (Leech & Onwuegbuzie, 2007).”
- The use of focus group discussion methodology: Insights from two decades of application in conservation (2018, methodology): “According to Leech and Onwuegbuzie (2007, 2008), qualitative analysis techniques that can be used to analyse focus group data include grounded theory analysis (Charmaz, 2006; Glaser, 1978, 1992; Glaser & Strauss, 1967, Strauss, 1987), content analysis (Morgan, 1988) and discourse analysis (Potter &…”
- Qualitative Analysis Techniques for the Review of the Literature (2012, methodology): “In addition, all of these analyses are explained in a step-by-step manner manually and via computer-assisted qualitative data analysis software (CAQDAS; i.e., NVivo, version 8.0; QSR International Pty Ltd., 2008 by Leech & Onwuegbuzie, 2007, and Leech & Onwuegbuzie, 2011), respectively.”
- Achieving Rigor in Literature Reviews: Insights from Qualitative Data Analysis and Tool-Support (2015, background): “…dataanalysis tools in a literature review can increase “representation” (i.e., “the ability to extract adequate meaning from the underlying data” (Leech & Onwuegbuzie, 2007, p. 23)), can increase the transparency of the research process, enable a paper’s findings to be placed in the context…”
- Mixed Research as a Tool for Developing Quantitative Instruments (2010, methodology): “For a comprehensive review of these qualitative data analysis techniques, we refer the reader to Leech and Onwuegbuzie (2007, 2008).”
- An Overview of Qualitative Research and Focus Group Discussion (2021, methodology): “Analyzing focus group data Onwuegbuzie et al. (2009) and Leech and Onwuegbuzie (2007, 2008) recommended a helpful framework that contains several qualitative analyzing techniques for researchers.”
- An Exemplar for Combining the Collection, Analysis, and Interpretations of Verbal and Nonverbal Data in Qualitative Research (2014, methodology): “Two levels of analyses were used to obtain a comprehensive picture of the data, because using more than one type of analysis can increase “rigor and trustworthiness of the findings” (Leech & Onwuegbuzie, 2007, p. 575).”