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#quantitative

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💧🌏 Greg Cocks

Reading Material With Lunch, Etc – Getting Back To My Roots
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doi.org/10.4324/9780429270284 | Thornes, J. B., Brunsden, D. (1977). Geomorphology and time. London: Methuen
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I saw this book on another post - and so went and found a copy at a 2nd hand book shop…
Looking forward to lunches at work with a cup of tea and maybe a couple of rainy Sundays at home…
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#geomorphology #text #book #landforms #learning #refamiliarisation #readingforpleasure #framework #model #processes #geology #water #hydrology #weather #climate #erosion #time #spatialanalysis #spatiotemporal #temporal #qualitative #quantitative #change #stochastic #evolution

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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
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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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Stephanie J Lahey, PhD

New #introduction: I’m Oschinsky Research Associate at Cambridge Univ Library, Fellow of Girton College, & a #MedievalManuscripts scholar & cataloguer. My research mainly focuses on later #medieval European #manuscripts with an emphasis on #quantitative methods, materiality, & provenance. I’m about to publish a book on #parchment & have started writing another on legal manuscripts. 📜🪶📚
#codicology #palaeography #BookHistory #LegalHistory #DigitalHumanities #quant #BookHistodons #Medievodons

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Kris Inwood

Fascinating review of recent work on the economics of state formation, Confucianism, human capital, Christian missionaries & long-term persistence studies by Zhiwu Chen & Chicheng Ma introduces important new Chinese econ history papers in Asia-Pacific Econ Hist Rev
doi.org/10.1111/aehr.12272
@economics @econhist @devecon @ecosocio @organizationalecon @sociology @demography @politicalscience @geography @anthropology #China #history #histodons #quantitative #bizhis #persistence #state #fertility

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Kris Inwood

The journal Social Science History announces a new series, Advances in Data & Methods. We invite research articles & review essays that propose new or recently articulated sources and/or methodological techniques for use in social science history. More info: ssha.org/journal/

@sociology @politicalscience @geography @econhist @economics @anthropology #history #histodons #SocialScience #methods #archives #archive #BigData #GIS #LIDAR #qualitative #quantitative #data #dataviz #DataScience

ssha.orgSocial Science History
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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

Reflexivity is the act of examining one's own assumption, belief, and judgement systems, and thinking carefully and critically about how these influence the research process. The practice of reflexivity confronts and questions who we are as researchers and how this guides our work. It is central in debates on objectivity, subjectivity, and the very foundations of social science research and generated knowledge. Incorporating reflexivity in the research process is traditionally recognized as one of the most notable differences between qualitative and quantitative methodologies. Qualitative research centres and celebrates the participants' personal and unique lived experience. Therefore, qualitative researchers are readily encouraged to consider how their own unique positionalities inform the research process and this forms an important part of training within this paradigm. Quantitative methodologies in social and personality psychology, and more generally, on the other hand, have remained seemingly detached from this level of reflexivity and general reflective practice. In this commentary, we, three quantitative researchers who have grappled with the compatibility of reflexivity within our own research, argue that reflexivity has much to offer quantitative methodologists. The act of reflexivity prompts researchers to acknowledge and centre their own positionalities, encourages a more thoughtful engagement with every step of
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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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Shelley McKeown Jones

📣 Job alert- We’re recruiting a full time research associate (quantitative social science) to work with us the University of Bristol’s School of Education from 1st March 2023 on the ESRC funded Shared Spaces Project. Application deadline 8th January 2023.

bristol.ac.uk/jobs/find/detail

#socialpsych
#socialpsychology
#socialscience
#quantitative
#postdoc
#PhDchat

www.bristol.ac.ukDetails | Working at Bristol | University of Bristol
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Thomas Blein

More than time for an #introduction.

I am a #CNRS researcher working at IPS2 (Université Paris-Saclay, 🇫🇷 ) interested in long non-coding RNAs (#lncRNAs) and how they regulate other genes and could provide adaptative behaviour to #plants (🌱, 🍅).

I combine different #quantitative 📈 approaches spanning several scales such as molecular biology 🧬🥼, #genomics, #ImageAnalysis 🔬🎥📷 .

Expect scientific toots covering #lncRNA #GeneRegulation #epigenetic #root #bioinformatics #transcriptomics #LabLife

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