MH Manuel Haqiqatkhah

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MH Manuel Haqiqatkhah

MH Manuel Haqiqatkhah

@_psyguy

PhD candidate Psychological Processes @MS_Utrecht丨MSc AI & MSc Psychology grad @KU_Leuven; retired 📶 engineer丨 #ItGetsBetter believer丨من هرچه ام با تو زیباترم.

Utrecht, The Netherlands Bergabung Kasım 2018
684 Mengikuti410 Pengikut
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MH Manuel Haqiqatkhah
MH Manuel Haqiqatkhah@_psyguy·
My presentation at #SAA2025 about modeling circadian rhythms in momentary affect is accessible on @OSFramework: osf.io/3evyp. A summary thread of one of the papers discussed in the presentation is in the quote below:
MH Manuel Haqiqatkhah tweet media
MH Manuel Haqiqatkhah@_psyguy

Studying circadian rhythms in #ESM is getting popular in #EmotionDynamics research as peak timing may have substantive value. In this #preprint we show how some papers mislocate the peak & argue why even its correct estimation is less useful than expected. doi.org/n5n9

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Eiko Fried
Eiko Fried@EikoFried·
Today is the day, y'all :) PS: I'm mostly on bluesky these days, feel free to drop by! (eikofried.bsky.social)
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Ruben C. Arslan
Ruben C. Arslan@rubenarslan·
A new semantic search engine for survey questions! This is based on our SurveyBot3000 model (to embed items) and 31k instruments from the APA PsycTests database.
GIF
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MH Manuel Haqiqatkhah
MH Manuel Haqiqatkhah@_psyguy·
To protect my sanity (almost literally) and to claim my night sleep back (literally) I decided to bite the 100-euro bullet today—🚬🚬🚬.
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Soheil S
Soheil S@psychostudent·
پیش میاد مقالات علمی retract بشن ولی نمی دونم چقدر ریترکت کردن preprint شایع باشه اینا نشون دادن آلت تناسلی کوچک تر و هوش بالاتر همبستگی دارن. بعد به خاطر صحبت هاشون در مورد نژاد روش زدن withdrawn researchsquare.com/article/rs-381…
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Eiko Fried
Eiko Fried@EikoFried·
Are you doing #EMA research and wonder how to go about it? In recent work we've adressed some open questions and challenges, here is a brief summary of papers and materials. 🧵
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alphaXiv
alphaXiv@askalphaxiv·
For just $60, we classified half a million arXiv papers by institution with DeepSeek-V3🤯 You can now filter arXiv papers by organizations like DeepSeek, Meta, or OpenAI See which organizations are contributing the most to open science and research 🔎
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MH Manuel Haqiqatkhah
MH Manuel Haqiqatkhah@_psyguy·
We would like to thank Dr. Sacha Epskamp (@SachaEpskamp), Dr. Charles Driver (@CharlesDriverAU), and Dr. Michael D. Hunter (of Penn State, whom I could not find on Twitter) for their thoughtful reviews and comments which led to the major improvement to our paper. #PsychTwitter
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MH Manuel Haqiqatkhah
MH Manuel Haqiqatkhah@_psyguy·
If you have already read the paper, the major additions are in the discussion section and the footnotes, in which we give a critical account of how measurement error can affect SARMA models—and our findings—with additional considerations for automated model selection routines.
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MH Manuel Haqiqatkhah
MH Manuel Haqiqatkhah@_psyguy·
Our paper on day-of-week effects & weekly dynamics has been accepted for publication at @APA_Journals #PsychologicalMethods. Besides what is covered in the quoted thread, this version (on #PsyArXiv: doi.org/mjjq) reflects further on model selection & measurement error.
MH Manuel Haqiqatkhah tweet media
MH Manuel Haqiqatkhah@_psyguy

My second #PhD paper with Ellen Hamaker on understanding and modeling day-of-week effects and weekly dynamics in daily diaries is on #PsyArXiv: psyarxiv.com/duvqh. It's a tutorial on seasonal ARMA (#SARMA) #timeseries models with a Shiny app and notable findings. A summary🧵

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Yuntian Deng
Yuntian Deng@yuntiandeng·
For those curious about how o3-mini performs on multi-digit multiplication, here's the result. It does much better than o1 but still struggles past 13×13. (Same evaluation setup as before, but with 40 test examples per cell.)
Yuntian Deng tweet media
Yuntian Deng@yuntiandeng

Is OpenAI's o1 a good calculator? We tested it on up to 20x20 multiplication—o1 solves up to 9x9 multiplication with decent accuracy, while gpt-4o struggles beyond 4x4. For context, this task is solvable by a small LM using implicit CoT with stepwise internalization. 1/4

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Eiko Fried
Eiko Fried@EikoFried·
1/3 Tutorial on exploring ecological momentary data is online at AMPPS, with: -Accessible ways to visualize data for better understanding -Models to get some first insights -Further reading boxes for more advanced topics -Reproducible pipeline you can run over your own data
Eiko Fried tweet mediaEiko Fried tweet mediaEiko Fried tweet mediaEiko Fried tweet media
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MH Manuel Haqiqatkhah
MH Manuel Haqiqatkhah@_psyguy·
Thanks for reading this #thread! In a subsequent working paper, we are exploring testing for the presence of cycles in multilevel (physiological) data, correctly estimating ψ and its CIs at levels 1 & 2, and understanding level-2 correlations with ψ. So stay tuned, #PsychTwitter!
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MH Manuel Haqiqatkhah
MH Manuel Haqiqatkhah@_psyguy·
And even if we let go of the supposed substantive interpretation of the cosinor parameters (& use it, e.g., to correct for daytime trends in AR models) it has very strong—and unrealistic—restrictions on the trend shape, making #CosinorAnalysis a bad choice for such scenarios too.
MH Manuel Haqiqatkhah tweet mediaMH Manuel Haqiqatkhah tweet media
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MH Manuel Haqiqatkhah
MH Manuel Haqiqatkhah@_psyguy·
Studying circadian rhythms in #ESM is getting popular in #EmotionDynamics research as peak timing may have substantive value. In this #preprint we show how some papers mislocate the peak & argue why even its correct estimation is less useful than expected. doi.org/n5n9
MH Manuel Haqiqatkhah tweet mediaMH Manuel Haqiqatkhah tweet mediaMH Manuel Haqiqatkhah tweet mediaMH Manuel Haqiqatkhah tweet media
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