She/her; Assistant professor in Quant Psych at UCLA; PhD in Quant Methodology from UMD; Into SEM & Causal Graphical Models | Too school 4 cool.
Yi Feng
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We’ll keep updating it and more features to come in the near future. Feedbacks welcome. Happy planning! 💪🏼
Additionally, we provide detailed guidelines on setting the focal effect γ and the contextual meta-collinearity ρ_c.
Particularly for contextual meta-collinearity, which is less intuitive as a meta parameter, you may follow the step-by-step interactive process to get a recommended value.
So excited to share our new paper! 🥳 We introduce a new method and a new perspective for sample size planning, to ensure statistical power despite the great uncertainty. It greatly simplifies the planning process too! Check it out! 👉🏼
In the published paper we detailed the steps to get the target sample size using our nmax equation.
Now with the Shiny app, you can easily obtain the target nmax value by simply sliding the inputs. No code or math equation needed! Everything you need, in one place.
Based on your inputs, it automatically generates a write-up template that you can conveniently adapt to justify nmax as the planned sample size for your proposed study.
You can also see how nmax value changes with the standardized focal effect γ.
A few weeks ago you’ve heard about nmax as the insurance policy for sample size planning on @quantitude.bsky.social
Today we’re excited to launch the nmax Shiny app. Sample size planning with nmax can now be done in just a few button clicks!
🚀 yifeng-quant.shinyapps.io/nmax/
Seeing our shadow tomorrow…
I’ve had a wonderful opportunity to be part of this fun (and hopefully) informative conversation on CART. Check it out! 🌟
www.buzzsprout.com/639103/14566...
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I’m starting as a new Assistant Professor in Quantitative Psychology at UCLA. Thrilled to be teaching a course on SEM this winter quarter. Really looking forward to a full quarter of excitement diving into SEM with the students!
