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#quantitative

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A.Stringer

"As a #quantitative #socialscientist who has studied #religious change in modern societies for more than 25 years, I’m surprised – and sceptical. I do not doubt that the #BibleSociety acted in good faith, but they haven’t engaged with the mountain of #evidence, some of it very recent, pointing to #religiousdecline.

Is there really a #religiousrevival in England? Why I’m sceptical of a new report
theconversation.com/is-there-r

#interrogatethedata
#criticalthinking
#Probabilitysampling
#datasampling

The ConversationIs there really a religious revival in England? Why I’m sceptical of a new report
More from The Conversation UK
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Andy Aydın-Aitchison

Susan McVie, Prof of Quantitative #Criminology at University of Edinburgh researches a wide range of topics & invites PhD applications on:

*youth crime & justice
*violence & homicide
*developmental crim/criminal careers
*stop & search
*crime trends & patterns
*assaults against police
*policing & pandemic

research.ed.ac.uk/en/persons/s

University of Edinburgh Research ExplorerSusan McVie
#PhDChat#Research#Quantitative
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ma𝕏pool

The piranha problem: Large effects swimming in a small pond.
Christopher Tosh, Philip Greengard, Ben Goodrich, Andrew Gelman, @avehtari, @djhsu
2 Apr 2024
arxiv.org/abs/2105.13445

In a lot of social science research, small, random factors are reported as having large effects on social and political attitudes and behavior (social priming, hormonal levels,parental socioeconomic status, weather, ...). Studies have claimed to find large effects from these and other inputs.

The results show that it would be extremely unlikely to have all these large effects coexisting—they would have to almost exactly cancel each other out.

arXiv.orgThe piranha problem: Large effects swimming in a small pondIn some scientific fields, it is common to have certain variables of interest that are of particular importance and for which there are many studies indicating a relationship with different explanatory variables. In such cases, particularly those where no relationships are known among the explanatory variables, it is worth asking under what conditions it is possible for all such claimed effects to exist simultaneously. This paper addresses this question by reviewing some theorems from multivariate analysis showing that, unless the explanatory variables also have sizable dependencies with each other, it is impossible to have many such large effects. We discuss implications for the replication crisis in social science.
#socialScience#replicationCrisis#statistics
Stephanie J Lahey, PhD

New #introduction: I’m the Mark Andrews Fellow in Book Science at OBNS (Old Books New Science) Lab, University of Toronto, and a #MedievalManuscripts scholar and cataloguer. My research mainly focuses on later #medieval European #manuscripts with an emphasis on scientific and #quantitative methods, #materiality, and provenance studies. 📚 📜 🔬 📊
#BookScience #codicology #palaeography #BookHistory #HeritageScience #parchment #DigitalHumanities #quant #statistics

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Jerome

I tagged research data over multiple years.

There was an unintended outcome of tagging ALL observations from every Agile sprint—rather than only tagging observations that related to the current sprint's research focus…

As time passed, some of the qualitative data became quantitative as the sample size grew.

#UR#UserResearch#tagging
Mark Rubin

Reflexivity is not just for qualitative researchers:

“In this paper, we make the case for integrating reflexivity across all research approaches, before providing a ‘beginner's guide’ for quantitative researchers wishing to engage reflexively with their own work.”

Jamieson et al. (2023):

Published (shareable?) version: compass.onlinelibrary.wiley.co

Preprint: doi.org/10.31234/osf.io/xvrhm

@socialpsych
#OpenScience
#MetaScience
#ResearcherBias
#Reflexivity
#Quantitative
#Qualitative
#Positionality

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Upstart Crow

One of Powell's first actions was to continue to raise US interest rates, as a response to the increasing strength of the US economy.[41][42] He also announced that the #Fed would reduce its asset portfolio process called #quantitative tightening. Financial assets of all classes declined over 2018 and markets erupted in volatility in December. Powell abandoned quantitative tightening in early 2019, leading to a recovery in asset prices.[46]
#Powell en.wikipedia.org/wiki/Jerome_P

en.wikipedia.orgJerome Powell - Wikipedia
Cris Luengo

An #introduction:

I specialize in #quantitative #imageAnalysis, mostly applied to #microscopy, and mostly in #biomedical applications.

I’ve been doing this for 25+ years. I used to have a tenured university position, and moved to industry about 7 years ago. Industry is just like academia, but with fewer students, fewer grants, and more secrecy.

Check out diplib.org

I love good #music, good #food, and building models (shoutout to #Lego, #MetalEarth and #UGears).

DIPlibDIPlibQuantitative Image Analysis in C++, MATLAB and Python
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