iiinova — where your digital self keeps evolving

Ena Alcan @enaalcan.bsky.social · 13/03/2026

Our new study shows that observational fear learning of interoceptive threat promotes generalized avoidance: participants avoided both threat (CS+) and safety (CS-) cues despite never experiencing threat themselves, suggesting a precautionary “better safe than sorry” strategy doi.org/10.1016/j.br...

sciencedirect.com

Better safe than sorry: Avoidance of interoceptive threat following observational fear learning

Learning through observation is often adaptive, allowing individuals to acquire important threat-related information without exposing themselves to da…

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Reposted by Ena Alcan

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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Ena Alcan @enaalcan.bsky.social · 28/05/2024

Excited to share this new publication on observational fear learning and interoceptive threat, where we show that fear of bodily symptoms can be acquired when observing fear reactions to aversive bodily symptoms in others www.sciencedirect.com/science/arti...

sciencedirect.com

A threat from within: Learning to fear by observing aversive bodily symptoms in others

Although observational fear learning has been implicated in the development of phobic-related fears, studies investigating observational learning of f…

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Reposted by Ena Alcan

Mallory J Feldman [She/Her/Hers] @malloryjfeldman.bsky.social · 22/02/2024

Excited to finally share this paper, nearly 5 years in the making! In it, me and co-authors share our thoughts on how (and to what extent) signals from the body map onto affective feelings. Writing this definitely brought forth more questions than answers! authors.elsevier.com/c/1ieTJ4sIRv...

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