Real qualitative researchers do not count: the use of numbers in qualitative research.
By M. Sandelowski. Research in Nursing and Health, 2001
929 citations recorded by the source corpus.
Subfields: Education, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/1623c72f1e101aea733a0b43c2348a28ff492afd
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
- D. Polit
- Cheryl Tatano Beck
- Michael R. Harwell
- Annmarie Gorenc Zoran
- W. Dickinson
- Karen Colorafi
In Sociology and Political Science
- Nancy L. Leech
- Anthony J. Onwuegbuzie
- Michael R. Harwell
- Karen Colorafi
- B. Evans
- D. Polit
- Cheryl Tatano Beck
- R. Burke Johnson
Citations in the corpus
- On Quantitizing (2009, methodology): “, in studies consisting only of what are generally considered to be qualitative modes of sampling, data collection and analysis, and interpretation), the quantitative conversion of qualitative data is done to facilitate pattern recognition or otherwise to extract meaning from qualitative data, accou”
- Beyond Constant Comparison Qualitative Data Analysis: Using NVivo. (2011, background): “Instead of using terms in the final report of a study such as many, most, or some, qualitative school psychology researchers can obtain the actual counts to report in addition to—as opposed to instead of—the descriptions of the phenomenon (Sandelowski, 2001).”
- Generalization in quantitative and qualitative research: myths and strategies. (2010, background): “Sandelowski (2001) has also noted that the ‘‘quantitizing’’ of qualitative data can serve to confirm conclusions and to generate meaning, which can promote analytic generalization.”
- The Validity Issue in Mixed Research (2006, background): “Obtaining counts of the themes present in qualitative data can prevent researchers from over-weighting or underweighting emergent themes (Sandelowski, 2001).”
- The Analytic Challenge in Interpretive Description (2004, background): “While numeric data (such as percentages) are typically misplaced in a qualitative report (Sandelowski, 2001), the inductive analyst must be aware of the manner in which prevalence can influence pattern recognition and account for that in some auditable manner.”
- Enhancing the Interpretation of Significant Findings: The Role of Mixed Methods Research (2004, background): “Providing these prevalence rates enhanced verstehen by preventing the researcher from over-weighting or under-weighting the emergent themes ( Sandelowski, 2001 ).”
- Qualitative Content Analysis (2014, background): “It is easier to recognize when saturation is achieved if data are at least preliminarily collected and analyzed at the same time (Guthrie et al., 2004; Sandelowski, 1995a, 2001).”
- A Qualitative Framework for Collecting and Analyzing Data in Focus Group Research (2009, background): “However, when contextualized, the use of counts can provide richer information than would be obtained by using qualitative data alone (cf. Sandelowski, 2001).”
- A Typology of Mixed Methods Sampling Designs in Social Science Research (2007, neutral): “…2004; Laurie & Sullivan, 1991; Morgan, 1998; Morse, 1991, 1996; Onwuegbuzie, 2002a; Onwuegbuzie & Leech, 2004b, 2005a; Rossman & Wilson, 1985; Sandelowski, 2001; Sechrest & Sidana, 1995; Sieber, 1973; Tashakkori & Teddlie, 2003b; Waysman & Savaya, 1997) devoted to mixed methods research,…”
- Using Qualitative Evidence in Decision Making for Health and Social Interventions: An Approach to Assess Confidence in Findings from Qualitative Evidence Syntheses (GRADE-CERQual) (2015, background): “While numbers can be important and useful in qualitative research, qualitative analysis generally focuses on text-based data [42].”
- Qualitative Descriptive Methods in Health Science Research (2016, methodology): “Triangulation refers to the use of more than one approach for investigating the research question in order to enhance confidence in the findings (Creswell & Plano-Clark, 2007; Denzin & Lincoln, 1994; Denzin, Lincoln, & Giardina, 2006; Sandelowski, 2001).”
- Research Design in Qualitative/Quantitative/Mixed Methods (2011, background): “Yet it is clear that important differences remain (Sandelowski, 2001; Yin, 2006).”
- The relationship of social support to the work‐family balance and work outcomes of midlife women (2007, methodology): “We focused on the manifest content of the data by examining it for relationships among categories and implications (Eisenhardt, 1989; Sandelowski, 2001).”