From Words to Numbers: How to Transform Qualitative Data into Meaningful Quantitative Results
By Katharina J. Srnka, Sabine T. Koeszegi. 2007
352 citations recorded by the source corpus.
Subfields: Education, General Social Sciences, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5daffce78249fb5d9aac1d1bde5a40ab8ca030f1
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In Education
In General Social Sciences
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Citations in the corpus
- Identifying and Ranking the Determinants of Tourism Performance (2012, background): “The literature suggests that “starting with categories identified in the literature” (Srnka and Koeszegi 2007, p. 37) is useful in the process of categorizing such qualitative data.”
- Blowing Open the Serious Leisure-Casual Leisure Dichotomy: What's In There? (2010, methodology): “We chose a common mixed-method research design, the “integrated generalization design” wherein “qualitative material is collected and transformed into categorical [or numerical] data for further quantitative analysis” (Srnka & Koeszegi, 2007, p. 32).”
- Varieties of institutional systems: A contextual taxonomy of understudied countries (2016, background): “…by emphasizing discovery-oriented research; second, it assures methodological rigor and “allows deriving generalizable results from qualitative data” (Srnka & Koeszegi, 2007: 60); and third, it facilitates a more direct comparison between configurations and highlights patterns of differences in…”
- A mixed method approach to understanding brand personality (2009, methodology): “However, even though qualitative research has been a mainstay in certain fields (for example, education and nursing), social scientists generally prefer to rely on statistically rigorous quantitative methods (Srnka and Koeszegi, 2007).”