A new tool for power analysis of longitudinal linear mixed-effects models (LMMs) – with support for missing data, plus non-inferiority and equivalence tests.
powerlmmjs.rpsychologist.com
Would really appreciate your feedback as I refine this app! Details below 🧵👇
The Science of Visual Data Communication: What Works
A very thorough review of ideas and evidence
by @SteveFranconeri, @LacePadill and others.
journals.sagepub.com/doi/epub/10....
The Science of Visual Data Communication: What Works
A very thorough review of ideas and evidence
by @SteveFranconeri, @LacePadill and others.
journals.sagepub.com/doi/epub/10....
#StatsSky #AcademicSky
pdfs.semanticscholar.org/d156/8a44bb3...
#StatsSky #AcademicSky
pdfs.semanticscholar.org/d156/8a44bb3...
www.the100.ci/2024/12/05/w...
www.the100.ci/2024/12/05/w...
Our latest study focuses on identifying adolescents at heightened risk of developing depression by examining how emotion regulation dynamics during this critical developmental period predict future symptoms. osf.io/preprints/ps...
Our latest study focuses on identifying adolescents at heightened risk of developing depression by examining how emotion regulation dynamics during this critical developmental period predict future symptoms. osf.io/preprints/ps...
- chase down the meaning of established signals with many different methods
- better description
- explore why diff methods converge or diverge on same questions
- question narratives for current signal
You?
We are having a reliability movement where we need to have a validity movement
not reproducible ≠ wrong/false/fluke
reproducible ≠ true
not reproducible ≠ poor science
reproducible ≠ good science
reproducibility of results is not a reliable indicator of truth/research quality/epistemic progress.
replication of a poorly designed study is another poorly designed study.
🌲
- chase down the meaning of established signals with many different methods
- better description
- explore why diff methods converge or diverge on same questions
- question narratives for current signal
You?
The {heplots} 📦 visualizes these as ellipsoids for hypothesis end error matrices for an lm(). V 1.7.1 now on #CRAN
{candisc} 📦 shows these in simpler canonical space
🔗See: friendly.github.io/heplots/
The {heplots} 📦 visualizes these as ellipsoids for hypothesis end error matrices for an lm(). V 1.7.1 now on #CRAN
{candisc} 📦 shows these in simpler canonical space
🔗See: friendly.github.io/heplots/
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
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
All N = 111, M = 0.04, SD = 0.27.
One-sided t-tests vs. 0 yield: t(110) = 1.67, p = .049.
Only raincloud plots reveal the qualitative differences, preventing the drawing of inappropriate conclusions.
How did we create the quartet?
Where are data & code?
🧵👇
All N = 111, M = 0.04, SD = 0.27.
One-sided t-tests vs. 0 yield: t(110) = 1.67, p = .049.
Only raincloud plots reveal the qualitative differences, preventing the drawing of inappropriate conclusions.
How did we create the quartet?
Where are data & code?
🧵👇
academic.oup.com/jamiaopen/ar...
academic.oup.com/jamiaopen/ar...
'Simulation studies for methodological research in psychology: A standardized template for planning, preregistration, and reporting.'
Journal: doi.org/10.1037/met0...
Accepted: osf.io/preprints/ps...
'Simulation studies for methodological research in psychology: A standardized template for planning, preregistration, and reporting.'
Journal: doi.org/10.1037/met0...
Accepted: osf.io/preprints/ps...
osf.io/preprints/ps...
#socialpsyc #psychology #PsychSciSky #prejudice
osf.io/preprints/ps...
#socialpsyc #psychology #PsychSciSky #prejudice
Then, the logit = log (p/1-p) is just another y axis on this chart
Then, the logit = log (p/1-p) is just another y axis on this chart
With Lorenzo Dall'Amico and @alainbarrat.bsky.social, we define a distance between temporal networks and explore its sensitivity to complex features in empirical temporal network data. @isifoundation.bsky.social
With Lorenzo Dall'Amico and @alainbarrat.bsky.social, we define a distance between temporal networks and explore its sensitivity to complex features in empirical temporal network data. @isifoundation.bsky.social
**A computational model of reward learning and habits on social media**
🧵
We develop a computational reward learning model of real-world social media data, which infers the separate goal-directed and habitual cognitive processes driving posting...
**A computational model of reward learning and habits on social media**
🧵
We develop a computational reward learning model of real-world social media data, which infers the separate goal-directed and habitual cognitive processes driving posting...
#causalsky #econsky #episky #statsky
#causalsky #econsky #episky #statsky