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Record W3204161976 · doi:10.1177/16094069211045474

Comparisons of Adaptations in Grounded Theory and Phenomenology: Selecting the Specific Qualitative Research Methodology

2021· article· en· W3204161976 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 · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Applications
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsUnderpinningPhenomenology (philosophy)Adaptation (eye)Management scienceQualitative researchGrounded theoryEpistemologyComputer scienceEngineering ethicsPsychologySociologySocial scienceEngineering

Abstract

fetched live from OpenAlex

The most widely used qualitative research methodologies are grounded theory and phenomenology. Both methodologies have expanded over time to several adaptations aligning with different paradigms, complex philosophical assumptions, and varying methodological strategies. Novice researchers either mistakenly mix the strategies of both methodologies or blend specific assumptions of methodologies’ different adaptations. Choosing the appropriate methodology and the specific adaptation in line with research inquiry and congruent with the researchers’ worldview is crucial in undertaking rigorous qualitative study. To date, there is limited literature that compared and contrasted the varying philosophical underpinnings of the two methodologies’ different adaptations. The purpose of this methodological paper is to provide a general overview of the two methodologies’ different adaptations to illustrate how they differ in approach. By immersing into the origins, philosophical assumptions, and utility of the two methodologies’ adaptations, novice researchers will develop a general overview of the foundations that support those specific adaptations. Finally, the considerations in choosing a specific adaptation of a methodology are discussed and applied by underpinning a research question on the care experiences of patients in the Accountable Care Unit. Thus, this methodological paper may assist novice researchers in deciding which specific adaptation of the two methodologies is the appropriate qualitative methodology for their research.

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)0.234
metaresearch head score (Gemma)0.053
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.2340.053
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.929
GPT teacher head0.788
Teacher spread0.141 · 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