Calidad metodológica de las investigaciones de evaluación de programas de educación parental
Bibliographic record
Abstract
The methodological quality of research on parental education programs has received little attention, despite its boom in recent decades. In the present investigation the methodological quality of such studies is assessed and they are classified into clusters according to their methodological characteristics. For this, a systematic review (SR) has been carried out, following the recommendations of PRISMA, Campbell and Cochrane. The search was limited to documents in Spanish / English, published between 2006 -2019, included in the ERIC, MEDLINE, SCOPUS, WOS, SCIELO, KCI, PsycARTICLES, PsycINFO databases. The selected studies (n = 245) were descriptively analyzed based on Methodological Quality Indicators (MQI). To this end, a multivariate analysis of clusters has been carried out, the characteristics of the clusters are described, comparisons between groups are made, and possible associations have been explored. Three clusters (outstanding, remarkable, acceptable-improvement quality) have been obtained, which present significant relationships with the types of research designs followed. It is highlighted that a quarter of the research articles could improve their methodological quality through the clear exposition of the objectives, limitations and sampling characteristics and of the measurement instruments. It is urgent to specify precisely the types and techniques of sampling, an indicator that is absent or vaguely justified in more than 90% of the articles reviewed. These conclusions illustrate some of the challenges and areas of improvement in methodological quality that researchers evaluating positive parenting programs could take into account.
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How this classification was reachedexpand
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 | 0.267 | 0.453 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.009 | 0.011 |
| Bibliometrics | 0.034 | 0.033 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".