Review of Mixed-Methods Research in Nursing
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
BACKGROUND: Inadequate justification for using mixed-methods and inadequate data integration compromises the rigor of mixed-methods studies, and data integration remains a challenge for nurse researchers. OBJECTIVES: The aim of the study was to determine the 5-year prevalence of mixed-methods research in nursing journals and to determine the extent of integration of qualitative and quantitative findings. METHODS: Ten journals were hand-searched, and additional search was conducted within three databases. Prevalence was calculated by counting the number of published mixed-methods studies divided by the number of published studies over 5 years. Three reviewers independently performed methodological assessment using a checklist based on guidelines by expert methodologists. RESULTS: Prevalence of mixed-methods studies was 1.89%. Concerning methodological assessment, of 175 studies, 29% did not provide an explicit label of the study design and four studies incorrectly labeled the design. In total, 31% of the studies did not justify using mixed methods, 95% did not identify the research paradigm, and 78% did not state the weight given to individual phases. The extent of data integration was 73%, but 83% of studies integrated data using narrative summaries with integration occurring at the interpretation (69.8%). Few studies used joint displays (10.9%), transformation (3.1%), and triangulation (1.6%) for data integration. DISCUSSION: Mixed-methods research is still in its infancy in nursing, and researchers encounter challenges during its conduct, analysis, and reporting. There is a need to determine researchers' attitudes and challenges toward using mixed methods and educate them about advanced mixed methods. Emphasis should be placed on use of advanced data integration methods so that the rigor and quality of mixed research can be enhanced in nursing 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.
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | Metaresearch Domain: Methods · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Other design | low |
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 | 0.174 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.010 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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