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Establishing methodological rigour in international qualitative nursing research: a case study from Ghana

2003· review· en· W2069664535 on OpenAlex
Judy Mill, Linda Ogilvie

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Advanced Nursing · 2003
Typereview
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRigourParticipatory action researchQualitative researchNursing researchEngineering ethicsAction researchSociologyResearch designMedicineNursingSocial sciencePedagogyEngineeringEpistemology

Abstract

fetched live from OpenAlex

BACKGROUND: Attention to rigour, from the identification of the problem to the dissemination of the findings, is essential in all qualitative research. In this paper, research carried out in Ghana in 1999 is used to highlight methodological issues in relation to rigour in international qualitative nursing research. AIM: The purpose of this paper is to review the literature in relation to rigour in qualitative research, highlight the methodological decisions enhancing rigour during this research project, and describe the criteria used to assess rigour during the research process. DESIGN: A participatory action research design was used to explore the cultural, social, economic, and political factors that influenced Ghanaian women's vulnerability to HIV infection. Collaboration with participants and partnerships with key professionals were integral to the design of the study. FINDINGS: Participatory action research provided a flexible, socially, and culturally adaptable framework to guide this international research project. Prior to the initiation of international research it was essential to establish the relevance and feasibility of the proposed project. This international research project posed additional methodological challenges to the establishment of rigour. Patience, flexibility and sensitivity were required of the researcher to overcome these challenges. CONCLUSION: Collaboration with participants and with culture-specific 'experts' may be key to culturally competent scholarship, particularly in unfamiliar settings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.115
metaresearch head score (Gemma)0.067
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.673
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1150.067
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.859
GPT teacher head0.765
Teacher spread0.094 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it