Pandelis Perkakis
@pandelisperakakis.bsky.social
110 followers 200 following 14 posts
Associate Professor of Psychology at Complutense University of Madrid Investigating #AffectDynamics Co-founder at openscholar.info Managing editor at psicologicajournal.com More: pandelisperakakis.info
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pandelisperakakis.bsky.social
Excited to share key findings from our new paper on #Bistability and #AffectDynamics, published in Emotion with @danielsanabria.bsky.social

We asked whether people shift abruptly between feeling good and bad, just like ecosystems flip between multiple stable states.

Here's what we found 🧵👇
Reposted by Pandelis Perkakis
Reposted by Pandelis Perkakis
nashishereforit.bsky.social
At least we have this to look forward to…
pandelisperakakis.bsky.social
Two ideas on how to gain trust:

1) Identify your business model (gold, diamond, hybrid, etc) and subscription prices for institutions on your frontpage.

or

2) Abandon your publisher for a sustainable model as we did in @psicologicajournal.bsky.social

👉https://doi.org/10.1038/d41586-023-02315-z
simine.com
My editorial on how journals can earn trust.

We often use journal names as proxies for quality. This is bad bc it’s not valid. But it could be. Editors could make journal name a valid signal. And we could place value on journals that show us how they do that.

journals.sagepub.com/doi/full/10....
Reposted by Pandelis Perkakis
astrokatie.com
The problem with most machine-based random number generators is that they’re not TRULY random, so if you need genuine randomness it is sometimes necessary to link your code to an external random process like a physical noise source or the current rate of US tariffs on a given country.
Reposted by Pandelis Perkakis
psicologicajournal.bsky.social
Hello, world!

Psicológica, the official journal of @sepex.bsky.social, is now on Bluesky!

We follow an open-access diamond model, meaning all published content is freely available through @digitalcsic.bsky.social.

Follow us to stay tuned for new publications, updates, and more!
Reposted by Pandelis Perkakis
p-solana.bsky.social
If you're looking for a journal that aligns with open and reproducible science, try Psicologica:

💎 Diamond OA (free for authors and readers)

🔍 Open peer review

✖️ Publishes null results, replications and RRs

📂 Secures analysis reproducibility and data availability

psicologicajournal.com/about/
p-solana.bsky.social
Happy to start my journey as junior editor of Psicologica (psicologicajournal.bsky.social) 😬
pandelisperakakis.bsky.social
For more:
OA Paper: osf.io/cqpuz_v1
Data and code: doi.org/10.17605/OSF...
Blog post: pandelisperakakis.info/2025/02/05/r...

#AffectDynamics #PsychologicalScience #MentalHealth #WellBeing
OSF
osf.io
pandelisperakakis.bsky.social
Next steps: Establishing the importance of affect shifts impact well-being opens the road to:

1) Identify personal triggers for transitions between positive & negative states.

2) Focus on tailored interventions to enhance resilience.
pandelisperakakis.bsky.social
Simply asking “Do you feel good or bad?” is:

1) More intuitive than rating emotions on abstract numerical scales
2) Easier to track daily
3) A better predictor of well-being
4) Suitable for real-time monitoring
pandelisperakakis.bsky.social
We used to think feeling more positive was key to well-being—someone scoring 40 in happiness is better off than someone scoring 20.

But our results show bouncing back from negativity matters more.

This has major implications for clinical practice! 👇
pandelisperakakis.bsky.social
Using multiple regression methods, we found that how often people shift between positive and negative affect better predicts well-being (anxiety, depression, life satisfaction, resilience, flourishing) than the intensity of their feelings.

Here’s why this matters 👇
pandelisperakakis.bsky.social
To capture this pattern, we developed 10 novel metrics to quantify affective bistability—measuring both how often and how intensely people shifted between feeling good and bad.

And that's when the surprise came👇
pandelisperakakis.bsky.social
We asked 121 healthy adults in Spain and Germany:
"How do you feel right now?" (rated from very bad to very good) 6 times a day for a month.

About 54% showed abrupt shifts between feeling good and bad—a pattern we called "Affective Bistability".
pandelisperakakis.bsky.social
Excited to share key findings from our new paper on #Bistability and #AffectDynamics, published in Emotion with @danielsanabria.bsky.social

We asked whether people shift abruptly between feeling good and bad, just like ecosystems flip between multiple stable states.

Here's what we found 🧵👇
pandelisperakakis.bsky.social
Simply asking “Do you feel good or bad?” is:

1) More intuitive than rating emotions on abstract numerical scales
2) Easier to track daily
3) A better predictor of well-being
4) Suitable for real-time monitoring
pandelisperakakis.bsky.social
We used to think feeling more positive was key to well-being—someone scoring 40 in happiness is better off than someone scoring 20.

But our results show bouncing back from negativity matters more.

This may have major implications for clinical practice 👇
pandelisperakakis.bsky.social
Using multiple regression methods, we found that how often people shift between positive and negative affect better predicts well-being (anxiety, depression, life satisfaction, resilience, flourishing) than the intensity of their feelings.

Here’s why this matters 👇
pandelisperakakis.bsky.social
To capture this pattern, we developed 10 novel metrics to quantify affective bistability—measuring both how often and how intensely people shifted between feeling good and bad.

And that's when the surprise came👇
pandelisperakakis.bsky.social
We asked 121 healthy adults in Spain and Germany:
"How do you feel right now?" (rated from very bad to very good) 6 times a day for a month.

About 54% showed abrupt shifts between feeling good and bad—a pattern we called "Affective Bistability".