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Tam Pham

@tam-pham.bsky.social

PhD Candidate | Clinical Psychology | Macquarie University, Sydney

Tam Pham @tam-pham.bsky.social · 28/07/2026

Very excited to finally share our latest paper! We meta-analysed 732 effect sizes from 430 studies (> 62,000 participants) to ask whether lower resting HRV is specific to certain mental disorders or shared across many forms of psychopathology. psycnet.apa.org/fulltext/202... 1/

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Reposted by Tam Pham

Dan Quintana @dsquintana.bsky.social · 14/11/2025

Our paper on improving statistical reporting in psychology is now online 🎉 As a part of this paper, we also created the Transparent Statistical Reporting in Psychology checklist, which researchers can use to improve their statistical reporting practices www.nature.com/articles/s44...

Transparent and comprehensive statistical reporting is critical for ensuring the credibility, reproducibility, and interpretability of psychological research. This paper offers a structured set of guidelines for reporting statistical analyses in quantitative psychology, emphasizing clarity at both the planning and results stages. Drawing on established recommendations and emerging best practices, we outline key decisions related to hypothesis formulation, sample size justification, preregistration, outlier and missing data handling, statistical model specification, and the interpretation of inferential outcomes. We address considerations across frequentist and Bayesian frameworks and fixed as well as sequential research designs, including guidance on effect size reporting, equivalence testing, and the appropriate treatment of null results. To facilitate implementation of these recommendations, we provide the Transparent Statistical Reporting in Psychology (TSRP) Checklist that researchers can use to systematically evaluate and improve their statistical reporting practices (https://osf.io/t2zpq/). In addition, we provide a curated list of freely available tools, packages, and functions that researchers can use to implement transparent reporting practices in their own analyses to bridge the gap between theory and practice. To illustrate the practical application of these principles, we provide a side-by-side comparison of insufficient versus best-practice reporting using a hypothetical cognitive psychology study. By adopting transparent reporting standards, researchers can improve the robustness of individual studies and facilitate cumulative scientific progress through more reliable meta-analyses and research syntheses.

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Tam Pham @tam-pham.bsky.social · 12/11/2025

Heart rate variability (HRV) is one of the widely used physiological measures in psychophysiological research. But with over 100 indices to choose from, how do we know which ones to use? In our latest paper, we take a data-driven approach to help answer this. doi.org/10.1111/psyp... 1/

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