Pearls, pith, and provocation. An introduction to concept mapping as a participatory public health research method.

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Title: Pearls, pith, and provocation. An introduction to concept mapping as a participatory public health research method.
Authors: Burke JG (AUTHOR), O'Campo P (AUTHOR), Peak GL (AUTHOR), Gielen AC (AUTHOR), McDonnell KA (AUTHOR), Trochim WMK (AUTHOR)
Source: Qualitative Health Research. Dec2005, Vol. 15 Issue 10, p1392-1410. 19p.
Abstract: In this article, the authors introduce concept mapping as a useful participatory research method for public health researchers interested in generating hypotheses and developing theory. The authors first provide an overview of concept mapping, which combines qualitative approaches with quantitative analytical tools to produce visual displays of the relationship between ideas. Then, they present an illustrative research application of the method to the exploration of women's perceptions of the relationship between residential neighborhood factors and intimate partner violence experiences. They give attention to the data collection and analysis procedures and to demonstrating the intricacies of using concept mapping for public health research purposes. Finally, the article concludes with a discussion of the unique contributions and challenges associated with concept mapping. [ABSTRACT FROM AUTHOR]
Copyright of Qualitative Health Research is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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DbLabel: Education Research Complete
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  Data: Pearls, pith, and provocation. An introduction to concept mapping as a participatory public health research method.
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  Data: <searchLink fieldCode="AR" term="%22Burke+JG%22">Burke JG</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22O'Campo+P%22">O'Campo P</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Peak+GL%22">Peak GL</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gielen+AC%22">Gielen AC</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22McDonnell+KA%22">McDonnell KA</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Trochim+WMK%22">Trochim WMK</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Qualitative+Health+Research%22">Qualitative Health Research</searchLink>. Dec2005, Vol. 15 Issue 10, p1392-1410. 19p.
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  Data: In this article, the authors introduce concept mapping as a useful participatory research method for public health researchers interested in generating hypotheses and developing theory. The authors first provide an overview of concept mapping, which combines qualitative approaches with quantitative analytical tools to produce visual displays of the relationship between ideas. Then, they present an illustrative research application of the method to the exploration of women's perceptions of the relationship between residential neighborhood factors and intimate partner violence experiences. They give attention to the data collection and analysis procedures and to demonstrating the intricacies of using concept mapping for public health research purposes. Finally, the article concludes with a discussion of the unique contributions and challenges associated with concept mapping. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Qualitative Health Research is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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