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The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Multiple methods in qualitative research with children: more insight or just more?

Open access
Darbyshire, Philip, MacDougall, Colin, Schiller, Wendy·2005·Qualitative Research

Abstract

This article explores the research implications of using multi-methods within a broad qualitative approach by drawing on the experience of conducting two childhood obesity-focused qualitative studies of Australian children’s perceptions and experiences of place, space and physical activity. Children described and depicted their physical activities and experiences: in focus group interviews, by mapping their local, social and recreational spaces and by photographing their meaningful places, spaces and activities using a Photovoice approach. The authors describe, reflect on and critique their chosen research approach, discussing the value, utility and pitfalls associated with using multiple methods with children. The article concludes that using multiple methods in researching children’s experiences is a valuable approach that does not merely duplicate data but also offers complementary insights and understandings that may be difficult to access through reliance on a single method of data collection.

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Crossref · 10.1177/1468794105056921

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Metadata

Authors
Darbyshire, P., MacDougall, C., & Schiller, W.
Venue
Qualitative Research
Published
2005-11
Volume
5
Issue
4
Pages
417-436
ISSN
  • 1468-7941 (ISSN-L)
  • 1741-3109
OpenAlex
W2163958274
Cited by
763
References
3
FWCI
26.63
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Multiple methods in qualitative research with children: more insight or just more? https://app.cochat.ai/papers/10.1177/1468794105056921
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Darbyshire, P., MacDougall, C., & Schiller, W. (2005). Multiple methods in qualitative research with children: more insight or just more? Qualitative Research. https://doi.org/10.1177/1468794105056921

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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.