Interpretive phenomenological methodologists in nursing: A critical analysis and comparison
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.
Bibliographic record
Abstract
Phenomenology is one of the most popular qualitative research methodologies used in nursing research. Although interpretive phenomenology is often a logical choice to address the concerns of nursing, the vast number of methods of phenomenology means choosing an appropriate method can be daunting, especially for novice researchers. It is critical that nurse researchers select a phenomenological method that fits the research problem and the skill and world view of the researcher; doing so will result in a research experience that resonates with and excites the researcher. The interpretive phenomenological methodologies of Benner, Munhall, and Conroy each offer unique methods of phenomenological inquiry. However, to date, we are not aware of any literature that explores and compares the methodological approaches of these nurses. In this paper, the origins and influence of phenomenology as both a philosophy and methodology on nurse researchers will be explored, followed by a critical analysis and comparison of these three nurses. By highlighting the distinctive differences and attributes of each method, this paper provides an analysis and comparison of the approaches of these prominent nurses. In doing so, we aim to aid the researcher in their methodological selection, thereby resulting in a successful and rewarding research endeavor.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it