Mixed methods intervention studies in children and adolescents with emotional and behavioral disorders: A methodological review
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: Mixed methods intervention studies can improve the accuracy of interventional evaluations in the field of emotional and behavioral disorders by helping researchers gain a more nuanced understanding of how a particular intervention works. However, no studies to date have systematically examined the ways in which this type of studies have been carried out and reported. AIM: To examine the methodological features and reporting practices found in mixed methods intervention studies in children and adolescents with emotional and behavioral disorders. METHOD: Methodological review based on a systematic search from inception to July 2021 in Embase, Medline, PsycINFO, and SCOPUS, and a hand search in seven journals. RESULTS: We found 30 studies, most of them published since 2019. These studies reported several patterns of mixed methods use which illustrated the unique insights that researchers can gain by using this approach. We identified several ways that authors could more clearly report the justification for using a mixed methods approach, the description of the design used, and the evidence of integration of the quantitative and qualitative components. CONCLUSION: We make recommendations for improving the reporting quality of mixed methods intervention studies in the field of emotional and behavioral disorders.
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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 | Metaresearch Domain: Methods · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | medium |
| gpt | Metaresearch Domain: Methods · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Other design | high |
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 | 0.032 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| 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