Effects of emotionally oriented parental interventions: a systematic review and meta-analysis.

Objective: This systematic review and meta-analysis investigates the effects of emotionally oriented parental interventions. Background: Several emotionally oriented parental interventions have been developed during the last decade. Some of these have gained popularity and spread across several continents. The literature is growing and consists of qualitative studies; intervention only, quasi-experimental, case-control studies; and randomized controlled trials. They indicate effects for parents and children. However, no systematic review or meta-analysis has, to our knowledge, summarized the results. Method: Using several search engines, we located 8,272 studies. After abstract and full-text screening, 33 studies were assessed for bias and included in the study. Outcomes for parents and children were extracted and combined into three constructs for parents and two for children. Meta-analyses were conducted for each construct to estimate the effect of the interventions using a robust Bayes meta-analysis. Results: The results indicate the presence of a small to medium effect on parents' mental health, behavior, and use of emotionally oriented parenting, as well as on children's internalizing and externalizing difficulties. Most participants were recruited from the general population, and clinical settings were rare. The results show little evidence of publication bias. Conclusion: There is evidence of a small to medium effect of emotionally oriented interventions on parents and children. Systematic review registration: https://osf.io/un3q4/.

Editorial perspective: Bayesian statistical methods are useful for researchers in child and adolescent mental health.

Bayesian statistical approaches offer nuanced, detailed, and intuitive analyses, even with small sample sizes. Although these qualities are highly relevant for researchers in child and adolescent mental health, Bayesian methods are still quite rarely employed. This editorial perspective will briefly describe what is different about Bayesian statistical methods, discuss some of the ways they may benefit research in our field, and provide an introduction to how Bayesian statistics are employed in practical research.

Bayes factor benefits for clinical psychology: review of child and adolescent evidence base.

Background: Statistical methods are a cornerstone of research in clinical psychology and are used in clinical trials and reviews to determine the best available evidence. The most widespread statistical framework, frequentist statistics, is often misunderstood and misused. Even when properly applied, this framework can lead to erroneous conclusions and unnecessarily prolonged trials. The implications for clinical psychology are difficulties in interpreting best available evidence and unnecessarily costly and burdensome research. An alternative framework, Bayesian statistics, is proposed as a solution to several issues with current practice. Methods: Statistical tests of primary outcome measures were extracted from 272 studies, which were cited in 11 recent reviews in the Evidence-based updates series in the Journal of Clinical Child and Adolescent Psychology. The extracted tests were examined regarding relevant features and re-analyzed using Bayes Factors. Results: When statistical tests were significant, the majority (98%) of re-analyzed tests agreed with such claims. When statistical tests were nonsignificant almost half (43%) of re-analyzed tests disagreed with such claims. Equally important for clinical research, an average of 13% fewer participants per study would have been required if the studies had used Bayes Factors. Conclusions: Bayes Factors offer benefits for research in clinical psychology through intuitive interpretations, and less costly trials.