Oscar L Olvera Astivia (Astivia, OLO) @oscar_olvera100
PhD in Psychometrics. Assistant Prof @UW in Measurement & Statistics. R enthusiast. ❤️Maths & Stats❤️. From 🇨🇦 originally. He/His/Him. 🏳️🌈 psychometroscar.com Seattle, WA Joined August 2017-
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@rmarkdown @TDataScience p.s. our R package {InteractionPoweR} includes the ability to appropriately model covariate interactions in your interaction power analyses: dbaranger.github.io/InteractionPow…
Why we should care about psychological measurement? In this blog post, I give a full overview of the situation, with the history of science and even the mathematics of it. In addition to a discussion about Rasch modeling and its' pitfalls. consultoriapsicometria.com/en/post/psycho…
1/2 🧵Regarding the effects of measurement error on regression coefficients, see Figure 2 and the section titled "Errors of Inference Due to Data–Model–Inference Mismatch" in Shear, B. R., & Zumbo, B. D. (2013) doi.org/10.1177/001316…
Hey all, I am giving a talk at the TI Methods Speaker Series hosted by the University of British Columbia. The talk is on artifact corrections for effect sizes! Check it out: ti.ubc.ca/2024/03/27/art…
This was much needed context to the discussion on the impact of measurement error we had a few days ago!
This was much needed context to the discussion on the impact of measurement error we had a few days ago!
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. psychometroscar.com/the-finicky-ef…
Here’s a fun blog post about the Fabius random variable. It’s kind of a random geometric sum and has some weird and wonderful properties. It’s CDF is infinitely differentiable but nowhere analytic (basically its Taylor series doesn’t “match” the CDF). 1/2 edkroc.wordpress.com/2024/03/05/the…
Our new R package is mind-blowing! Are you interested in Large Language Models in R? Check out the example below. Task: automatic theme identification. Two synthetic stories generated via GPT-4: Story 1: "In the modern retelling of "Alice in the Wooderlands," Alice is a…
'Graduate students need more quantitative methods support', a Comment by Andrea L. Howard (@DrAndreaHoward) Web: go.nature.com/3wouNQ8 PDF: rdcu.be/dyP0y
I love seeing more simulation replications (our field needs this desperately) but evaluation of generalizability is so important! Simulators need to be aware that their one method of generating non-normal data (or some other factor) may not give the same results as other methods.
I love seeing more simulation replications (our field needs this desperately) but evaluation of generalizability is so important! Simulators need to be aware that their one method of generating non-normal data (or some other factor) may not give the same results as other methods.
It's time for "Constraints on Generality" statements in simulations! journals.sagepub.com/doi/10.1177/17…
It's time for "Constraints on Generality" statements in simulations! journals.sagepub.com/doi/10.1177/17…
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265 Followers 799 Following developmental psycholinguist 👶🏻🧠🗣 | PhD Candidate @ucdavispsych #LatinaInSTEM #rstats@oscar_olvera100 So much to learn though (even as a late stage doctoral student in social psych). You should have seen the “Should we treat Likert items as ordinal or continuous and if so, should we sum or average across items” discussion a couple weeks ago
@rmarkdown @TDataScience p.s. our R package {InteractionPoweR} includes the ability to appropriately model covariate interactions in your interaction power analyses: dbaranger.github.io/InteractionPow…
@oscar_olvera100 I very much like this blog post. My old grad stats professor passed this along for obvious reasons. It really clarified the thread. I appreciate it!
@MatthewBJane @oscar_olvera100 I gotta stop tweeting 😂😂 But this blog post was fantastic
Why we should care about psychological measurement? In this blog post, I give a full overview of the situation, with the history of science and even the mathematics of it. In addition to a discussion about Rasch modeling and its' pitfalls. consultoriapsicometria.com/en/post/psycho…
@oscar_olvera100 Hahhaha (but only if the true data generation mechanism is not a bifactor, otherwise it's ok)
1/2 🧵Regarding the effects of measurement error on regression coefficients, see Figure 2 and the section titled "Errors of Inference Due to Data–Model–Inference Mismatch" in Shear, B. R., & Zumbo, B. D. (2013) doi.org/10.1177/001316…
Hey all, I am giving a talk at the TI Methods Speaker Series hosted by the University of British Columbia. The talk is on artifact corrections for effect sizes! Check it out: ti.ubc.ca/2024/03/27/art…
Kahneman was not just the first Psychologist to win a Nobel Prize, but a very brave and interesting individual who helped shape contemporary Psychology in many ways. Particularly, his studies on overconfidence, exaggeration, and the many biases in our reasoning and…
Remembering psychological scientist Daniel Kahneman psychologicalscience.org/observer/danie…
@oscar_olvera100 Very nicely set out. I agree its mostly an "unusual situation" though I think relative differences in reliability may come up more often than we think. For example, demographic covariates are often measured more reliably than psychological measures.
This was much needed context to the discussion on the impact of measurement error we had a few days ago!
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. psychometroscar.com/the-finicky-ef…
@oscar_olvera100 @Corey_Yanofsky Lol yeah there are a million things I should have been working on other than this too. Sometimes you just have to take a little holiday with the math.
@ed_kroc i wonder if there's a way to do exact sampling from this distribution -- some rejection sampling trick or analytically tractable transformation to a well-known distribution or something like that
Here’s a fun blog post about the Fabius random variable. It’s kind of a random geometric sum and has some weird and wonderful properties. It’s CDF is infinitely differentiable but nowhere analytic (basically its Taylor series doesn’t “match” the CDF). 1/2 edkroc.wordpress.com/2024/03/05/the…
@oscar_olvera100 @letsnotbehayest Very interesting and important work, thank you for sharing!
Our new R package is mind-blowing! Are you interested in Large Language Models in R? Check out the example below. Task: automatic theme identification. Two synthetic stories generated via GPT-4: Story 1: "In the modern retelling of "Alice in the Wooderlands," Alice is a…
'Graduate students need more quantitative methods support', a Comment by Andrea L. Howard (@DrAndreaHoward) Web: go.nature.com/3wouNQ8 PDF: rdcu.be/dyP0y
I love seeing more simulation replications (our field needs this desperately) but evaluation of generalizability is so important! Simulators need to be aware that their one method of generating non-normal data (or some other factor) may not give the same results as other methods.
Extra extra! Very cool stuff online at BRM! Big congrats to Amanda Fairchild, Yunhang Yin, @oscar_olvera100, my friend Amanda Baraldi, and Dexin Shi! link.springer.com/article/10.375…
It's time for "Constraints on Generality" statements in simulations! journals.sagepub.com/doi/10.1177/17…
HA! @letsnotbehayest got the scoop today, but I would like to introduce all of you to this most interesting paper that had been in the back of my mind for a while. Context: Remember *that* "many analysts" paper (now a classic)? When I was reading it 1/12
@stephenjwild A nice case of Berkson-type ME that becomes differential when conditioning on another variable (test scores, here).