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Standalone Apps for Anxiety and Depression Show Promising Early Efficacy: A Commentary on Meta-Analytic Results
The current commentary is focused on the methods and conclusions drawn in a recent meta-analysis which evaluated the impact of standalone interventions in treating anxiety and depressive symptoms (Weisel et al., 2019). The current commentary discusses the large impact of methodological choices made to exclude transdiagnostic treatments and group heterogeneous treatments on study conclusions. Additionally, the current commentary evaluates these conclusions considering opposing from two additional meta-analytic findings. The current review concludes that more research is needed effects before drawing any definitive conclusions, but the current evidence base suggests that apps show promising early efficacy in treating anxiety and depressive symptoms
Om ni är tysta! Fristående af-satser med uppmanande funktion i en idrottspedagogisk kontext
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Use and Misuse of a Fast Approximation: Not a Criticism, but a Caution
P. Isager et al. (2025) propose a fast approximation of replication value, RVCn, that relies on citation count and sample size. This approximation is simple, transparent, and easy to implement across many studies. It can potentially help metascientists evaluate large collections of studies. However, RVCn is not a precise statement of fact; it should not substitute for detailed substantive and methodological arguments. I make two counterclaims: (1) studies with few citations might be worth replicating and (2) studies with large samples might be worth replicating. While RVCn can helpfully supplement researchers’ judgments, it should not substitute for researchers’ judgments