Mixed methods intervention studies in children and adolescents with emotional and behavioral disorders: A methodological review
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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How this classification was reachedexpand
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.118 | 0.276 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.008 | 0.011 |
| Bibliometrics | 0.018 | 0.016 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".