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Cited by 290

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

Using vignettes to collect data for nursing research studies: how valid are the findings?

GOULD, DINAH·1996·Journal of Clinical Nursing

Abstract

Summary: Vignettes are simulations of real events which can be used in research studies to elicit subjects' knowledge, attitudes or opinions according to how they state they would behave in the hypothetical situation depicted. Advantages associated with the use of vignettes as research tools include: the ability to collect information simultaneously from large numbers of subjects, to manipulate a number of variables at once in a manner that would not be possible in observation studies, absence of observer effect and avoidance of the ethical dilemmas commonly encountered during observation. Difficulties include problems establishing reliability and validity, especially external validity. This paper considers the advantages and disadvantages associated with the use of vignettes as data collection tools, concluding with a check‐list to help critique vignettes studies.

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Crossref · 10.1111/j.1365-2702.1996.tb00253.x

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Metadata

Authors
GOULD, D.
Venue
Journal of Clinical Nursing
Publisher
Wiley
Published
1996-07
Volume
5
Issue
4
Pages
207-212
ISSN
  • 0962-1067 (ISSN-L)
  • 1365-2702
OpenAlex
W1966202760
Cited by
290
References
14
FWCI
6.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Using vignettes to collect data for nursing research studies: how valid are the findings? https://app.cochat.ai/papers/10.1111/j.1365-2702.1996.tb00253.x
The paper
GOULD, D. (1996). Using vignettes to collect data for nursing research studies: how valid are the findings? Journal of Clinical Nursing. https://doi.org/10.1111/j.1365-2702.1996.tb00253.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.