Combining Qualitative and Quantitative Sampling, Data Collection, and Analysis Techniques in Mixed-Method Studies

Researchers have increasingly turned to mixed‐method techniques to expand the scope and improve the analytic power of their studies. Yet there is still relatively little direction on and much confusion about how to combine qualitative and quantitative techniques. These techniques are neither paradig...

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Vydáno v:Research in nursing & health Ročník 23; číslo 3; s. 246 - 255
Hlavní autor: Sandelowski, Margarete
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York John Wiley & Sons, Inc 01.06.2000
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ISSN:0160-6891, 1098-240X
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Abstract Researchers have increasingly turned to mixed‐method techniques to expand the scope and improve the analytic power of their studies. Yet there is still relatively little direction on and much confusion about how to combine qualitative and quantitative techniques. These techniques are neither paradigm‐ nor method‐linked; researchers' orientations to inquiry and their methodological commitments will influence how they use them. Examples of sampling combinations include criterion sampling from instrument scores, random purposeful sampling, and stratified purposeful sampling. Examples of data collection combinations include the use of instruments for fuller qualitative description, for validation, as guides for purposeful sampling, and as elicitation devices in interviews. Examples of data analysis combinations include interpretively linking qualitative and quantitative data sets and the transformation processes of qualitizing and quantitizing. © 2000 John Wiley & Sons, Inc. Res Nurs & Health 23:246–255, 2000
AbstractList Researchers have increasingly turned to mixed-method techniques to expand the scope and improve the analytic power of their studies. Yet there is still relatively little direction on and much confusion about how to combine qualitative and quantitative techniques. These techniques are neither paradigm- nor method-linked; researchers' orientations to inquiry and their methodological commitments will influence how they use them. Examples of sampling combinations include criterion sampling from instrument scores, random purposeful sampling, and stratified purposeful sampling. Examples of data collection combinations include the use of instruments for fuller qualitative description, for validation, as guides for purposeful sampling, and as elicitation devices in interviews. Examples of data analysis combinations include interpretively linking qualitative and quantitative data sets and the transformation processes of qualitizing and quantitizing.
Researchers have increasingly turned to mixed‐method techniques to expand the scope and improve the analytic power of their studies. Yet there is still relatively little direction on and much confusion about how to combine qualitative and quantitative techniques. These techniques are neither paradigm‐ nor method‐linked; researchers' orientations to inquiry and their methodological commitments will influence how they use them. Examples of sampling combinations include criterion sampling from instrument scores, random purposeful sampling, and stratified purposeful sampling. Examples of data collection combinations include the use of instruments for fuller qualitative description, for validation, as guides for purposeful sampling, and as elicitation devices in interviews. Examples of data analysis combinations include interpretively linking qualitative and quantitative data sets and the transformation processes of qualitizing and quantitizing. © 2000 John Wiley & Sons, Inc. Res Nurs & Health 23:246–255, 2000
Researchers have increasingly turned to mixed-method techniques to expand the scope and improve the analytic power of their studies. Yet there is still relatively little direction on and much confusion about how to combine qualitative and quantitative techniques. These techniques are neither paradigm- nor method-linked; researchers' orientations to inquiry and their methodological commitments will influence how they use them. Examples of sampling combinations include criterion sampling from instrument scores, random purposeful sampling, and stratified purposeful sampling. Examples of data collection combinations include the use of instruments for fuller qualitative description, for validation, as guides for purposeful sampling, and as elicitation devices in interviews. Examples of data analysis combinations include interpretively linking qualitative and quantitative data sets and the transformation processes of qualitizing and quantitizing.Researchers have increasingly turned to mixed-method techniques to expand the scope and improve the analytic power of their studies. Yet there is still relatively little direction on and much confusion about how to combine qualitative and quantitative techniques. These techniques are neither paradigm- nor method-linked; researchers' orientations to inquiry and their methodological commitments will influence how they use them. Examples of sampling combinations include criterion sampling from instrument scores, random purposeful sampling, and stratified purposeful sampling. Examples of data collection combinations include the use of instruments for fuller qualitative description, for validation, as guides for purposeful sampling, and as elicitation devices in interviews. Examples of data analysis combinations include interpretively linking qualitative and quantitative data sets and the transformation processes of qualitizing and quantitizing.
Author Sandelowski, Margarete
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References_xml – reference: Morse, J.M. (1996). Is qualitative research complete? Qualitative Health Research, 6, 3-5.
– reference: Greene, J.C., & Caracelli, V.J., (Eds.). (1997a). Advances in mixed-method evaluation: The challenges and benefits of integrating diverse paradigms. San Francisco: Jossey-Bass.
– reference: Buchanan, D.R. (1992). An uneasy alliance: Combining qualitative and quantitative research methods. Health Education Quarterly, 19, 117-135.
– reference: Pearce, J.C. (1971). The crack in the cosmic egg: Challenging constructs of mind and reality. New York: Washington Square Press.
– reference: Trost, J.E. (1986). Statistically non-representative stratified sampling: A sampling technique for qualitative studies. Qualitative Sociology, 9, 54-57.
– reference: Tashakkori, A., & Teddlie, C. (1998). Mixed methodology: Combining qualitative and quantitative approaches. Thousand Oaks, CA: Sage.
– reference: Sutton, R.I. (1997). The virtues of closet qualitative research. Organization Science, 8, 97-106.
– reference: Weinholtz, D., Kacer, B., & Rocklin, T. (1995). Salvaging quantitative research with qualitative data. Qualitative Health Research, 5, 388-397.
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Snippet Researchers have increasingly turned to mixed‐method techniques to expand the scope and improve the analytic power of their studies. Yet there is still...
Researchers have increasingly turned to mixed-method techniques to expand the scope and improve the analytic power of their studies. Yet there is still...
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SubjectTerms combination studies
data analysis
data collection
Data Collection - methods
Data Interpretation, Statistical
Humans
mixed-method studies
Nursing Research - methods
Nursing Research - statistics & numerical data
qualitative and quantitative research
Research Design
sampling
triangulation
Title Combining Qualitative and Quantitative Sampling, Data Collection, and Analysis Techniques in Mixed-Method Studies
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https://www.ncbi.nlm.nih.gov/pubmed/10871540
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