Haran Sened
@haransened.bsky.social
59 followers 110 following 14 posts
Senior Lecturer @ University of Haifa School of Therapy, Counseling and Human Development. Studying emotional processes and brain synchrony in close relationships and therapy. Opinions my own @[email protected] haransened.irlresearch.site He/Him
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haransened.bsky.social
Do you collect location data from participants, or does your data collection platform has an option to do so that you didn't know what to do with? A new tool I've developed - the privlocR package, allows for free, easy, offline and private analysis of location data haranse.github.io/privlocR/ind...
Offline Reproducible and Privacy Preserving Location Analysis
Given a set of coordinates and pre-downloaded map data from OpenStreetMap retrieves meaningful tags of locations at a certain distance atound each coordinate, such as "shop","ocean","residential". Thi...
haranse.github.io
haransened.bsky.social
Standard typo on first post in a thread - when will we get editing on Bluesky?
haransened.bsky.social
It is also completely offline - your participants' locations never leave your computer and are certainly not shared with a big company. You can read more on my blog post below. Please let me know if you find this useful!
pave.irlresearch.site/posts/privloc/
PrivlocR - analyzing location data easily and securely – PAVE Project
pave.irlresearch.site
haransened.bsky.social
Instead of a paid, proprietary service (think Google Maps) it uses free map data from OpenStreetMap. This saves costs and also lets that you capture map data the way it was when you ran the study, making it reproducible even as map data changes over time.
haransened.bsky.social
privlocR takes a list of locations - longitudes and latitudes - and translates each one into a list of tags - is this near any buildings? any shops? is it in a university? in a forest or near a coastline? All in a few simple lines of R code.
haransened.bsky.social
Do you collect location data from participants, or does your data collection platform has an option to do so that you didn't know what to do with? A new tool I've developed - the privlocR package, allows for free, easy, offline and private analysis of location data haranse.github.io/privlocR/ind...
Offline Reproducible and Privacy Preserving Location Analysis
Given a set of coordinates and pre-downloaded map data from OpenStreetMap retrieves meaningful tags of locations at a certain distance atound each coordinate, such as "shop","ocean","residential". Thi...
haranse.github.io
Reposted by Haran Sened
dpmoriarity.bsky.social
On today's edition of "Sh*t I wish I knew 8 years ago"

Simple "isolate" function from blml package to get within- and between-person centered versions of a list of variables.

H/t to kzee.github.io/Centering_De...

#Rstats #AcademicSky
haransened.bsky.social
This work was conducted at the Princeton Social Neuroscience Lab, led by @dianatamir.bsky.social , with original study design and data collection led by Tony Phan and assisted by @markthornton.bsky.social and Sara Verosky. My work on it was supported by the European Union’s Horizon 2020 programme.
haransened.bsky.social
This increased stereotyping might explain some of the harassment and other problematic behaviors these populations experience. You can read a slightly longer summary at the PAVE project blog pave.irlresearch.site/posts/social...
pave.irlresearch.site
haransened.bsky.social
These might include celebrities, or model minorities (e.g., women who are perceived by some men as purer, more delicate and more moral). Our findings suggest that in these cases people are especially likely to rely on stereotypes even if they have ostensibly positive attitudes.
haransened.bsky.social
We found that familiarity was uniquely associated with the use of target-specific knowledge, while liking (by itself) was associated with more stereotyping. This has real implications for inferences about others we like, but are not familiar with and do not feel similar to.
haransened.bsky.social
To answer this question, we asked participants to make social inferences about various targets - celebrities, fictional people, and real acquaintances, while measuring similarity, familiarity and liking as well as the use of different information sources.
haransened.bsky.social
In most cases, similarity, familiarity and liking go together, and lead to more use of self-knowledge (assuming that others' beliefs are like ours) and target-specific knowledge and less use of stereotypes. The current study asks what happens when these dimensions diverge.
Reposted by Haran Sened
sebospeer.bsky.social
How do we reach agreement? @dianatamir.bsky.social @shannon47burns.bsky.social @falklab.bsky.social @haransened.bsky.social , Laetitia Mwilambwe-Tshilobo, Lily Tsoi and I just published a preprint on the conversational dynamics supporting agreement. [1/8] 🧵
Reposted by Haran Sened
neillewisjr.bsky.social
"Whether you are watching student protesters on social media or experiencing the protests in person, the way you understand these protests depends on your perception of what they are protesting. It could not be otherwise."

Great article on what is happening, and why we perceive it in the way we do.
Reposted by Haran Sened
mehr.nz
samuel mehr @mehr.nz · Apr 13
editor's decision letter
haransened.bsky.social
New blog post:
For the past two years I've been busy working on a large dyadic experience sampling study. After successfully recruiting some pilot participants on Prolific, I ended up recruiting the entire sample that way. Here's how it went (well):
pave.irlresearch.site/posts/dyadic...