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Cited by 594

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Narrative Research: A Comparison of Two Restorying Data Analysis Approaches

Ollerenshaw, Jo Anne, Creswell, John W.·2002·Qualitative Inquiry

Abstract

People telling stories about their life experiences has rapidly gained legitimacy in educational research. This article presents seven elements of narrative research that represent the aspects of a narrative study and the criteria that might be used to assess the quality of a narrative project. The article focuses on one phase in narrative data analysis: ”restorying” or “retelling.” By highlighting restorying narrative, researchers can see how an illustrative data set, a science story told by fourth graders about their experiences in their elementary classroom, was applied to two analysis approaches. A comparison of the two narrative approaches, problem-solution and three-dimensional space, shows several common features and distinctions. As narrative researchers decide which approach to use, they might consider whether the story they wish to report is a broader wholistic sketch of the three-dimensional approach or a narrower linear structure of the problem-solution approach.

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Metadata

Authors
Ollerenshaw, J. A., & Creswell, J. W.
Venue
Qualitative Inquiry
Published
2002-06
Volume
8
Issue
3
Pages
329-347
ISSN
  • 1077-8004 (ISSN-L)
  • 1552-7565
OpenAlex
W2151443139
Cited by
594
References
14
FWCI
14.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Narrative Research: A Comparison of Two Restorying Data Analysis Approaches. https://app.cochat.ai/papers/10.1177/10778004008003008
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Ollerenshaw, J. A., & Creswell, J. W. (2002). Narrative Research: A Comparison of Two Restorying Data Analysis Approaches. Qualitative Inquiry. https://doi.org/10.1177/10778004008003008

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.