2009
DOI: 10.1177/0193945909334434
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Transforming Verbal Counts in Reports of Qualitative Descriptive Studies Into Numbers

Abstract: Reports of qualitative studies typically do not offer much information on the numbers of respondents linked to any one finding. This information may be especially useful in reports of basic, or minimally interpretive, qualitative descriptive studies focused on surveying a range of experiences in a target domain, and its lack may limit the ability to synthesize the results of such studies with quantitative results in systematic reviews. Accordingly, the authors illustrate strategies for deriving plausible range… Show more

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Cited by 55 publications
(59 citation statements)
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“…Many qualitative studies e.g., 39 use verbal counting 48 and terms such as some, many , or most to represent numbers of respondents linked to thematic codes. Such terms are not well-defined 49 and can be easily misinterpreted. Counting and use of numbers in qualitative work is essential to the analytic process and recognition of patterns.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Many qualitative studies e.g., 39 use verbal counting 48 and terms such as some, many , or most to represent numbers of respondents linked to thematic codes. Such terms are not well-defined 49 and can be easily misinterpreted. Counting and use of numbers in qualitative work is essential to the analytic process and recognition of patterns.…”
Section: Discussionmentioning
confidence: 99%
“…Frequency counts can provide vital information for comparing qualitative categories or reports from multiple informants and better inform other researchers conducting mixed research synthesis. 49 …”
Section: Discussionmentioning
confidence: 99%
“…We used “verbal counting” methodology in which “most/majority” denotes more than 11, “many” refers to more than 7 and “few/several” describes between 2 to 7 teachers. [20]…”
Section: Methodsmentioning
confidence: 99%
“…For example, posterior probability of "high adherence" given "simple medication" depends on prior probabilities of "high adherence" and "simple medication" and also on conditional probability of "simple medication" when "high adherence" (86). The transformation of QUAL data into probabilities is complex (14) and is based on frequency count (e.g., the number of study participants with "simple medication"). However, such frequency counts are controversial because QUAL research is not appropriate for this purpose and typically involves small nonrepresentative samples (78).…”
Section: Convergent Synthesismentioning
confidence: 99%