Journal article
Diagrams and Relational Maps: The Use of Graphic Elicitation Techniques with Interviewing for Data Collection, Analysis, and Display
International journal of qualitative methods, v 11(5), pp 513-533
Dec 2012
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Graphic elicitation techniques, which ask research participants to provide visual data representing personal understandings of concepts, experiences, beliefs, or behaviors, can be especially useful in helping participants to express complex or abstract ideas or opinions. The benefits and drawbacks of using graphic elicitation techniques for data collection, data analysis, and data display in qualitative research studies are analyzed using examples from a research study that employed data matrices and relational maps in conjunction with semi-structured interviews. Results from this analysis demonstrate that the use of these combined techniques for data collection facilitates triangulation and helps to establish internal consistency of data, thereby increasing the trustworthiness of the interpretation of that data and lending support to validity and reliability claims. Findings support the notion that graphic elicitation techniques can be highly useful in qualitative research studies at the data collection, the data analysis, and the data reporting stages. For example, this study found that graphic elicitation techniques are especially useful for eliciting data related to emotions and emotional experiences.
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Details
- Title
- Diagrams and Relational Maps: The Use of Graphic Elicitation Techniques with Interviewing for Data Collection, Analysis, and Display
- Creators
- Andrea J Copeland - Assistant Professor, School of Library & Information Science, Indiana University, Indianapolis, Indiana, United StatesDenise E Agosto - Associate Professor, College of Information Science & Technology, Drexel University, Philadelphia, Pennsylvania, United States
- Publication Details
- International journal of qualitative methods, v 11(5), pp 513-533
- Publisher
- SAGE Publications; Los Angeles, CA
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000323937100001
- Scopus ID
- 2-s2.0-84883640712
- Other Identifier
- 991014976891004721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Social Sciences, Interdisciplinary