Brief thread on my reflections as a peer-reviewer that I hope will be useful for others. These reflections are based on ~10 years as an AE, Section Editor, or EB member for several journals in sport science or S&E psych & ad hoc reviewer for many others 1/n

Just published: To facilitate people with #COPD accepting a referral to #Pulmonaryrehab, healthcare professionals needed to: 🤜 care for the person (not just treat the disease) 🤜instil hope that #Pulmonaryrehab will be of benefit https://t.co/id93GQB5SB @CurtinAlliedHth

NOW OPEN ACCESS! My second study from my PhD has been published in Psychology & Health. In this registered report, we introduced a new way to measure bedtime procrastination—one that aligns with its definition and reflects its nuanced nature. https://t.co/iCh4L4YCTQ

How effective is human-AI collaboration? A meta-analysis of 106 studies just published in @NaturHumBehav reports an interesting result: On average, there was no synergy: Human–AI combinations did not perform better than both humans and AI. In particular, when the AI alone

InMotion featured a nice little summary of our systematic review investigating maintenance of training-related gains in people with COPD who complete an exercise training program: https://t.co/iESiyyvcS4 @vincavalheri @DanielGucciardi @KylieHill2015 and Hollie

Introducing PaperQA2, the first AI agent that conducts entire scientific literature reviews on its own. PaperQA2 is also the first agent to beat PhD and Postdoc-level biology researchers on multiple literature research tasks, as measured both by accuracy on objective benchmarks

New open access article 👇👇👇 A Prospective Qualitative Inquiry of Patient Experiences of Cognitive Functional Therapy for Chronic Low Back Pain During the RESTORE Trial - Nardia-Rose Klem, Peter O’Sullivan, Anne Smith, Robert Schütze, 2024 https://t.co/w56Cu94Gtn

The times (in behavioural sciences) they are a-changin'. Recent contributions in cognitive science and economics show a renewed interest in going beyond 'biases' and viewing the sometimes puzzling features of human cognition as solutions to the complex problems we face.

At last! A rather technical paper on using simulation to compare how you can get different conclusions from different analyses of a dataset - nothing new to trials people, but it still needs saying - applied to a reading intervention https://t.co/LtpBG2KTij #DeclareDesign

In #COPD, applying behaviour change techniques with a clear focus on participants integrating regular structured exercise into daily life beyond completion of an exercise training program is important for promoting maintenance of training-related gains. https://t.co/ba3suYR6EI

Prioritise talking about it 🗣 show patients you believe in it 💪 walk in their shoes to understand psychological perceptions 🧩... going the extra step to support engagement in pulmonary rehabilitation 🤝 @KylieHill2015 @vincavalheri @DanielGucciardi @warrp2 @CurtinAlliedHth

Very excited to share our paper “From Persons to General Principles: Methodological Decisions for Idiographic and Nomothetic Research” at @EJPBlog; w. @pk_andresen, @EmorieBeck, @GiulioCostanti5, Ellen Hamaker, @aidangcw, & @jz_psych (detailed🧵below). https://t.co/76F9ZQBK4O

Kind of a big deal: GPT-4 simulates people well enough to replicate social science experiments with high accuracy Note this is done by having the AI prompted to respond to survey questions as a person given random demographic characteristics & surveying thousands of "AI people"

The GWalkR package in R is a powerful tool for data visualization and exploration. Designed to simplify complex data analysis, GWalkR transforms raw data into interactive visualizations, making it easier to understand and interpret your data sets. Here are some key features of

I recently hosted a 3-hour online workshop on "Conducting Meta-Analytic Structural Equation Modeling (MASEM) with R." You may watch the video here: https://t.co/Wr4fjbv0Og and access the materials here: https://t.co/9F5DSo8LZM. #RStats #MetaAnalysis #StructuralEquationModeling