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Record W3152701950 · doi:10.5539/gjhs.v13n5p92

Critiquing a Grounded Theory Research Paper: Αn Educational Guide for Nurses

2021· article· en· W3152701950 on OpenAlexvenueno aff
Evridiki Kaba, Kelesi Martha, Georgia Toylia, Georgia Fasoi

Bibliographic record

VenueGlobal Journal of Health Science · 2021
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsnot available
Fundersnot available
KeywordsGrounded theoryQualitative researchNursing researchProcess (computing)NursingMedicineEngineering ethicsMedical educationPsychologySociologyManagement scienceComputer scienceSocial science

Abstract

fetched live from OpenAlex

Critical analysis of research has become a necessary task for nurses who intend to improve the quality of the care they provide by applying robust research evidence to clinical practice. The aims of the present paper are a) to discuss the various stage of critiquing research and b) to illustrate a case example of research critique by discussing a qualitative research paper. A systematic critique of a grounded theory research article, entitled “How Greek nurses perceive and overcome the barriers in implementing treatment for pressure ulcers: ‘Against the odds’”, was performed, using a framework that involves all stages needed in critiquing qualitative research. This framework was chosen because it provides specific guidelines and involves a detailed analysis of how each stage of the research must be accomplished. This critique process led to the development of an educational guide for students and novice researchers, illustrating the methodological approach and the skills needed for conducting a critical analysis of a published qualitative research study. This paper provides the necessary knowledge to nurse students about how to critique a published research paper and appraise research evidence that guides clinical practice and decision-making for the nursing care delivered.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.126
metaresearch head score (Gemma)0.202
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.874
Threshold uncertainty score0.664

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1260.202
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0080.007
Science and technology studies0.0050.011
Scholarly communication0.0080.006
Open science0.0060.009
Research integrity0.0060.015
Insufficient payload (model declined to judge)0.0170.018

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 head0.082
GPT teacher head0.508
Teacher spread0.426 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
DomainMethods
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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