Empirically supported treatments (or therapies; ESTs) are the gold standard in therapeutic interventions for psychopathology. Based on a set of methodological and statistical criteria, the APA has assigned particular treatment-diagnosis combinations EST status and has further rated their empirical support as Strong, Modest, and/or Controversial. Emerging concerns about the replicability of research findings in clinical psychology highlight the need to critically examine the evidential value of EST research. We therefore conducted a metascientific review of the EST literature, using clinical trials reported in an existing online APA database of ESTs, and a set of novel evidential value metrics (i.e., rates of misreported statistics, statistical power, R-Index, and Bayes Factors). Our analyses indicated that power and replicability estimates were concerningly low across almost all ESTs, and individually, some ESTs scored poorly across multiple metrics, with Strong ESTs failing to continuously outperform their Modest counterparts. Lastly, we found evidence of improvements over time in statistical power within the EST literature, but not for the strength of evidence of EST efficacy. We describe the implications of our findings for practicing psychotherapists and offer recommendations for improving the evidential value of EST research moving forward. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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http://dx.doi.org/10.1037/abn0000421 | DOI Listing |
Br J Soc Psychol
January 2025
Sentience Institute, New York City, New York, USA.
The ways people imagine possible futures with artificial intelligence (AI) affects future world-making-how the future is produced through cultural propagation, design, engineering, policy, and social interaction-yet there has been little empirical study of everyday people's expectations for AI futures. We addressed this by analysing two waves (2021 and 2023) of USA nationally representative data from the Artificial Intelligence, Morality, and Sentience (AIMS) survey on the public's forecasts about an imagined future world with widespread AI sentience (total N = 2401). Average responses to six forecasts (exploiting AI labour, treating AI cruelly, using AI research subjects, AI welfare, AI rights advocacy, AI unhappiness reduction) showed mixed expectations for humanity's future with AI.
View Article and Find Full Text PDFEcol Lett
January 2025
Department of Biology, University of Miami, Coral Gables, Florida, USA.
Microorganisms underpin numerous ecosystem processes and support biodiversity globally. Yet, we understand surprisingly little about what structures environmental microbiomes, including how to efficiently identify key players. Microbiome network theory predicts that highly connected hubs act as keystones, but this has never been empirically tested in nature.
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December 2024
Institute of Psychology, University of Debrecen, Debrecen, Hungary.
Introduction: The positive impact of youth sport on physical, mental and social health has been highlighted in several research which reinforces further investigations concerning the reasons for dropout of athletes. As one of the most emergent difficulties in youth sports is to prevent athletes from dropping out, it is important to explore what factors play important part in this process. The purpose of this study was to identify barriers and challenges related to sport persistence and dropout.
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December 2024
School of Public Health, Shandong Second Medical University, Weifang, China.
Background: Improving system coordination is a pivotal strategy and a critical pathway for social governance. Chinese society is currently facing a significant challenge in aligning the allocation of health resources with economic development. Evaluating the level of coordinated development within the system can provide valuable insights to support the construction of a more coordinated China and foster high-quality development.
View Article and Find Full Text PDFInt J Nurs Stud Adv
June 2025
Faculty of Nursing, Chiang Mai University, Chiang Mai, Thailand.
Background: Demoralization is a complex construct comprising of several clinical phenomena that has gained increasing interest in clinical practice and research; however, the concept needs to be sufficiently specified and clearly described. A concept analysis of demoralization is necessary to integrate previous research findings and establish the scientific foundation for future intervention research.
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