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Record W4292059842 · doi:10.1177/16094069221119576

Successful Recruitment to Qualitative Research: A Critical Reflection

2022· article· en· W4292059842 on OpenAlex

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

VenueInternational Journal of Qualitative Methods · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsQualitative researchTrustworthinessPerspective (graphical)PsychologyEthnographyCritical reflectionQualitative propertyMedical educationReflection (computer programming)Applied psychologySociologySocial psychologyPedagogyMedicineComputer scienceSocial science

Abstract

fetched live from OpenAlex

Recruitment to qualitative research is an important methodological consideration. However, the process of recruitment is under-communicated in qualitative research articles and methods textbooks. A robust recruitment plan enhances trustworthiness and overall research success. Although recruitment has recently received increased attention in the qualitative methodology literature, a more nuanced understanding is required. We realized successful recruitment to our focused ethnographic inquiry. Numerous nurse educators, researchers, and administrators volunteered within three months of study initiation. Using Gibbs’ Reflective Cycle, we conducted a critical reflection on the recruitment log and participant interview data to surface factors contributing to our success. This article offers our insights into the facilitators of successful recruitment. Our reflection revealed four themes contributing to successful enrollment: (a) laying the groundwork, (b) recruitment plan, (c) building rapport, and (d) participant motivations. Two new recruitment strategies accounted for over 60% of our sample. Reporting on successful strategies for recruiting participants to qualitative research and specifying participants’ motivations to volunteer, from their perspective, make important contributions to the recruitment literature. Our article offers guidance to qualitative researchers pursuing successful recruitment. Additional research is required to evaluate the relative influence of various recruitment strategies.

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)0.345
metaresearch head score (Gemma)0.101
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.253
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.3450.101
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.965
GPT teacher head0.846
Teacher spread0.118 · 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