kiachong 🦋

senior research fellow in medical statistics @KCLBHI @KingsIoPPN

[Daniël Lakens @lakens]

An abbreviation (ABB) in a journal article (JA) or Grant Application (GA) is rarely worth the words it saves. Every ABB requires cognitive resources (CR) and at my age by the time I'm halfway through a JA or GA I no longer have the CR to remember what your ABB stood for.

[Dariia Mykhailyshyna @d_mykhailyshyna]

❗️Our next workshop will be on August 14, 6 pm CEST, on marginaleffects package by @VincentAB! Register or sponsor a student by donating to support Ukraine!
Details: https://t.co/dHWP8vHQss
Please share! #AcademicTwitter #EconTwitter #RStats

[Dr. Leonie Vogelsmeier @LeonieVogelsm]

Soon in Psychol. Assess: Reducing Patient Burden in Experience Sampling Studies: A Simulation Study to Validate the Personalized Missingness Design https://t.co/sJftxTAXU8
Shared first-authorship with Jongerling; in collaboration with the 3M (Schellekens, Bolsinova, van der Lee)

[Dan McNeish @dmcneish18]

New Paper w/@MelissaGWolf - Dynamic fit cutoffs now support any covariance structure model (e.g., bifactor, hierarchical, & mediation models). Also supports categorical and non-normal outcomes. Use the DDDFI function in dynamic package on GitHub

https://t.co/cBCX8mbhCB

[quantitudethepodcast @quantitudepod]

S6E01 Growth as a Predictor? Back to School with Ethan McCormick
https://t.co/ei7yUnJ8H4 

To start Season 6, we catch up with @E_M_McCormick (now at U. Delaware) to discuss growth factors as predictors of distal outcomes — and how pretty much everything came out unexpectedly.

[Jay Van Bavel, PhD @jayvanbavel]

PSA: Stop referring to your employees as your family.

[Dan McNeish @dmcneish18]

Fit index cutoffs like RMSEA < .06 or CFI > .95 weren't intended for categorical data or WLS estimation so dynamic fit cutoffs can now handle binary, categorical, or Likert responses with WLS so you can derive cutoffs specifically for your categorical CFA
https://t.co/lAFzK7z4uY

[Andrew Gelman et al. @StatModeling]

One way you can understand people is to look at where they prefer to see complexity.
https://t.co/z1v8fO1pI1

[Dr. Leonie Vogelsmeier @LeonieVogelsm]

Happy to share that our article "Assessing and Accounting for Measurement in Intensive Longitudinal Studies: Current Practices, Considerations, and Avenues for Improvement" is accepted for publication (with @JoranJongerling and E. Maassen) #teamscience

https://t.co/lZValitPuZ

[Dr Ellie Murray, ScD @EpiEllie]

People often think the most important part of science is the statistical analysis.

But they’re wrong.

The most important part is understanding the data. Who collected it, when, where, why, how, and from whom? Who entered and cleaned it, when, where, why, how, and for whom?

[Oscar L Olvera Astivia (Astivia, OLO) @oscar_olvera100]

Days ago there was a most interesting discussion regarding the effects of measurement error on regression coefficients. Something that I think was missing was the *key* role that your measurement model has. https://t.co/5A1r3Z24hR

[AndyDobson @Andy2Dobson]

Possibly the most important ecology paper published in Science this century?...https://t.co/1AzBWQui4f

[Ross Jacobucci @rossjacobucci]

Really happy that this paper is finally out: https://t.co/TkqevYe0KK. Led by Ken McClure, we showed why items, not scale scores, should be used if prediction is the goal.

[Women in Statistics and Data Science @WomenInStat]

Today, we’re going to play a game I’m calling “IT’S JUST A LINEAR MODEL” (IJALM).

It works like this: I name a model for a quantitative response Y, and then you guess whether or not IJALM.

1/

[PsyArXiv bot v2 @PsyArXiv_bot_v2]

Dynamic Fit Index Cutoffs for Treating Likert Items as Continuous https://t.co/QuIIsI8Vod

[Maarten van Smeden @MaartenvSmeden]

“After adjusting for known confounders, the association remained highly significant”

[Jelte Wicherts @JelteWicherts]

Nearly three-quarters of tested psychological scales failed the test of measurement invariance needed for meaningful group comparisons
https://t.co/nwGt08o1xP