Kaleb
@kmat27.bsky.social
PhD in Experimental Psychology
Research interests include self-regulated learning, learning strategies, educational technology, and STEM education
Research interests include self-regulated learning, learning strategies, educational technology, and STEM education
Reposted by Kaleb
7 reasons to use Bayesian inference!
statmodeling.stat.columbia.edu/2025/10/11/7...
statmodeling.stat.columbia.edu/2025/10/11/7...
7 reasons to use Bayesian inference! | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
October 11, 2025 at 1:54 PM
7 reasons to use Bayesian inference!
statmodeling.stat.columbia.edu/2025/10/11/7...
statmodeling.stat.columbia.edu/2025/10/11/7...
Reposted by Kaleb
Chatbots — LLMs — do not know facts and are not designed to be able to accurately answer factual questions. They are designed to find and mimic patterns of words, probabilistically. When they’re “right” it’s because correct things are often written down, so those patterns are frequent. That’s all.
June 19, 2025 at 11:21 AM
Chatbots — LLMs — do not know facts and are not designed to be able to accurately answer factual questions. They are designed to find and mimic patterns of words, probabilistically. When they’re “right” it’s because correct things are often written down, so those patterns are frequent. That’s all.
Reposted by Kaleb
Robert Hooke's drawings of objects under the microscope were so beautiful. These are from "Micrographia" in 1665
September 9, 2025 at 12:25 PM
Robert Hooke's drawings of objects under the microscope were so beautiful. These are from "Micrographia" in 1665
Reposted by Kaleb
Persistent minimizing of the COVID death toll hits me especially hard in the #demography feels. To be clear:
➡️ Over one million Americans died of COVID-19.
➡️ Official COVID deaths were likely undercounted, not overcounted.
jenndowd.substack.com/p/how-many-p...
➡️ Over one million Americans died of COVID-19.
➡️ Official COVID deaths were likely undercounted, not overcounted.
jenndowd.substack.com/p/how-many-p...
How many people died of COVID?
We likely undercounted, not overcounted COVID deaths
jenndowd.substack.com
September 9, 2025 at 11:02 AM
Persistent minimizing of the COVID death toll hits me especially hard in the #demography feels. To be clear:
➡️ Over one million Americans died of COVID-19.
➡️ Official COVID deaths were likely undercounted, not overcounted.
jenndowd.substack.com/p/how-many-p...
➡️ Over one million Americans died of COVID-19.
➡️ Official COVID deaths were likely undercounted, not overcounted.
jenndowd.substack.com/p/how-many-p...
Reposted by Kaleb
The psych job market may not be dead... but it is gravely injured 😬 So far it's looking like the Trump administration's attacks on higher ed/research are going to have more than 2x the impact on the job market as the covid-19 pandemic. #psychjobs #neurojobs #academicjobs
September 3, 2025 at 6:27 PM
The psych job market may not be dead... but it is gravely injured 😬 So far it's looking like the Trump administration's attacks on higher ed/research are going to have more than 2x the impact on the job market as the covid-19 pandemic. #psychjobs #neurojobs #academicjobs
Reposted by Kaleb
The AI and Education discourse is maddening. "Does AI improve learning?" is a dumb question. What form of "AI" and in what context? What do you mean by learning? Improving on a test or knowledge for use?
If you're asking that question, you don't actually care about a real answer.
If you're asking that question, you don't actually care about a real answer.
September 2, 2025 at 1:21 PM
The AI and Education discourse is maddening. "Does AI improve learning?" is a dumb question. What form of "AI" and in what context? What do you mean by learning? Improving on a test or knowledge for use?
If you're asking that question, you don't actually care about a real answer.
If you're asking that question, you don't actually care about a real answer.
Reposted by Kaleb
Great article with one of the best brief layperson introductions to AI v. LLMs that I’ve seen. And I love the exploration of whether and how LLMs’ are useful depends on the user’s level of expertise. #PsychSciSky #AcademicSky #EduSky
doi.org/10.1037/mac0...
doi.org/10.1037/mac0...
August 25, 2025 at 12:02 PM
Great article with one of the best brief layperson introductions to AI v. LLMs that I’ve seen. And I love the exploration of whether and how LLMs’ are useful depends on the user’s level of expertise. #PsychSciSky #AcademicSky #EduSky
doi.org/10.1037/mac0...
doi.org/10.1037/mac0...
Reposted by Kaleb
Ever stared at a table of regression coefficients & wondered what you're doing with your life?
Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social)
Preprint: doi.org/10.31234/osf...
Website: j-rohrer.github.io/marginal-psy...
Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social)
Preprint: doi.org/10.31234/osf...
Website: j-rohrer.github.io/marginal-psy...
August 25, 2025 at 11:49 AM
Ever stared at a table of regression coefficients & wondered what you're doing with your life?
Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social)
Preprint: doi.org/10.31234/osf...
Website: j-rohrer.github.io/marginal-psy...
Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social)
Preprint: doi.org/10.31234/osf...
Website: j-rohrer.github.io/marginal-psy...
Reposted by Kaleb
It's so weird how LLMs know so much about things I don't know anything about, and yet make fundamental and basic errors about things I do know anything about. Oh well, I'm sure that's a coincidence.
August 11, 2025 at 7:56 PM
It's so weird how LLMs know so much about things I don't know anything about, and yet make fundamental and basic errors about things I do know anything about. Oh well, I'm sure that's a coincidence.
Reposted by Kaleb
August 18, 2025 at 1:52 AM
Reposted by Kaleb
All of Statistics is secret linear algebra.
We often don't do the linear algebra or don't know we are doing it because of assumptions.
Here is a more accessible resource for what you're really doing when you analyze human subjects data.
We often don't do the linear algebra or don't know we are doing it because of assumptions.
Here is a more accessible resource for what you're really doing when you analyze human subjects data.
#rstats #statistics
I've released my new open source book, "Powered by Linear Algebra: the role of matrices and vector space in data science," at matloff.github.io/WackyLinearA....
Turns the classic LA course on its head! Still proves the theorems, but with a deep emphasis on applications.
I've released my new open source book, "Powered by Linear Algebra: the role of matrices and vector space in data science," at matloff.github.io/WackyLinearA....
Turns the classic LA course on its head! Still proves the theorems, but with a deep emphasis on applications.
matloff.github.io
August 18, 2025 at 11:57 AM
All of Statistics is secret linear algebra.
We often don't do the linear algebra or don't know we are doing it because of assumptions.
Here is a more accessible resource for what you're really doing when you analyze human subjects data.
We often don't do the linear algebra or don't know we are doing it because of assumptions.
Here is a more accessible resource for what you're really doing when you analyze human subjects data.
Reposted by Kaleb
All three books I've co-authored are freely available online for non-commercial use:
- #Bayesian Data Analysis, 3rd ed (aka BDA3) at stat.columbia.edu/~gelman/book/
- #Regression and Other Stories at avehtari.github.io/ROS-Examples/
- Active Statistics at avehtari.github.io/ActiveStatis...
- #Bayesian Data Analysis, 3rd ed (aka BDA3) at stat.columbia.edu/~gelman/book/
- #Regression and Other Stories at avehtari.github.io/ROS-Examples/
- Active Statistics at avehtari.github.io/ActiveStatis...
August 2, 2024 at 1:35 PM
All three books I've co-authored are freely available online for non-commercial use:
- #Bayesian Data Analysis, 3rd ed (aka BDA3) at stat.columbia.edu/~gelman/book/
- #Regression and Other Stories at avehtari.github.io/ROS-Examples/
- Active Statistics at avehtari.github.io/ActiveStatis...
- #Bayesian Data Analysis, 3rd ed (aka BDA3) at stat.columbia.edu/~gelman/book/
- #Regression and Other Stories at avehtari.github.io/ROS-Examples/
- Active Statistics at avehtari.github.io/ActiveStatis...
Reposted by Kaleb
Reminder that all three books I've co-authored are freely available online for non-commercial use (and the fourth will be, too)
All three books I've co-authored are freely available online for non-commercial use:
- #Bayesian Data Analysis, 3rd ed (aka BDA3) at stat.columbia.edu/~gelman/book/
- #Regression and Other Stories at avehtari.github.io/ROS-Examples/
- Active Statistics at avehtari.github.io/ActiveStatis...
- #Bayesian Data Analysis, 3rd ed (aka BDA3) at stat.columbia.edu/~gelman/book/
- #Regression and Other Stories at avehtari.github.io/ROS-Examples/
- Active Statistics at avehtari.github.io/ActiveStatis...
August 11, 2025 at 5:44 PM
Reminder that all three books I've co-authored are freely available online for non-commercial use (and the fourth will be, too)
Reposted by Kaleb
Today I’ll be sharing some of my favorite Quarto learning resources 💻✨
Most of what I know, I learned thanks to the amazing work of others. So this thread is a small tribute to open educational content and the people behind it.
Let’s go! 👇
#QuartoPub #RLadies #RStats
Most of what I know, I learned thanks to the amazing work of others. So this thread is a small tribute to open educational content and the people behind it.
Let’s go! 👇
#QuartoPub #RLadies #RStats
July 16, 2025 at 1:13 PM
Today I’ll be sharing some of my favorite Quarto learning resources 💻✨
Most of what I know, I learned thanks to the amazing work of others. So this thread is a small tribute to open educational content and the people behind it.
Let’s go! 👇
#QuartoPub #RLadies #RStats
Most of what I know, I learned thanks to the amazing work of others. So this thread is a small tribute to open educational content and the people behind it.
Let’s go! 👇
#QuartoPub #RLadies #RStats
Reposted by Kaleb
At this point, I might as well --
Here's an infographic showing different ways to include age as a predictor. The top shows two extremes, just as a plain old numerical predictor (imposes linear trajectory) vs. categorical predictor (imposes nothing whatsoever). And then three solutions in between!
Here's an infographic showing different ways to include age as a predictor. The top shows two extremes, just as a plain old numerical predictor (imposes linear trajectory) vs. categorical predictor (imposes nothing whatsoever). And then three solutions in between!
July 16, 2025 at 12:33 PM
At this point, I might as well --
Here's an infographic showing different ways to include age as a predictor. The top shows two extremes, just as a plain old numerical predictor (imposes linear trajectory) vs. categorical predictor (imposes nothing whatsoever). And then three solutions in between!
Here's an infographic showing different ways to include age as a predictor. The top shows two extremes, just as a plain old numerical predictor (imposes linear trajectory) vs. categorical predictor (imposes nothing whatsoever). And then three solutions in between!
Reposted by Kaleb
#statstab #386 {bayestestR} Evaluating Evidence and Making Decisions using Bayesian Statistics by @mattansb.msbstats.info
Thoughts: Want to start using Bayesian stats? Here is a quick but comprehensive guide in #R
#bayesian #bayes #mcmc #easystats #guide
mattansb.github.io/bayesian-evi...
Thoughts: Want to start using Bayesian stats? Here is a quick but comprehensive guide in #R
#bayesian #bayes #mcmc #easystats #guide
mattansb.github.io/bayesian-evi...
mattansb.github.io
July 14, 2025 at 10:14 PM
#statstab #386 {bayestestR} Evaluating Evidence and Making Decisions using Bayesian Statistics by @mattansb.msbstats.info
Thoughts: Want to start using Bayesian stats? Here is a quick but comprehensive guide in #R
#bayesian #bayes #mcmc #easystats #guide
mattansb.github.io/bayesian-evi...
Thoughts: Want to start using Bayesian stats? Here is a quick but comprehensive guide in #R
#bayesian #bayes #mcmc #easystats #guide
mattansb.github.io/bayesian-evi...
Reposted by Kaleb
Sometimes authors summarize their responses to 3-6 major points raised by the reviewers in their resub cover letters or at the top of their rebuttal letters. This is so super helpful to editors, because it brings us right up to speed after not having read the paper/reviews for months. THANKS!!
July 9, 2025 at 4:15 PM
Sometimes authors summarize their responses to 3-6 major points raised by the reviewers in their resub cover letters or at the top of their rebuttal letters. This is so super helpful to editors, because it brings us right up to speed after not having read the paper/reviews for months. THANKS!!
Reposted by Kaleb
Hey #rstats,
What's your rule for splitting R scripts that form part of a wider analysis pipeline / project?
I usually write a single script which includes sections for each step from data cleaning to the final results, but it can become unwieldy when the script becomes long.
...
What's your rule for splitting R scripts that form part of a wider analysis pipeline / project?
I usually write a single script which includes sections for each step from data cleaning to the final results, but it can become unwieldy when the script becomes long.
...
July 1, 2025 at 9:57 PM
Hey #rstats,
What's your rule for splitting R scripts that form part of a wider analysis pipeline / project?
I usually write a single script which includes sections for each step from data cleaning to the final results, but it can become unwieldy when the script becomes long.
...
What's your rule for splitting R scripts that form part of a wider analysis pipeline / project?
I usually write a single script which includes sections for each step from data cleaning to the final results, but it can become unwieldy when the script becomes long.
...
Reposted by Kaleb
This article does a nice job describing the dos & do-not-dos of media comparison research. People wishing to compare e.g., ChatGPT v. traditional instruction would be wise to review the "Background on Technology in Education" section. #PsychSciSky #AcademicSky #EduSky doi.org/10.1007/s106...
Confounded or Controlled? A Systematic Review of Media Comparison Studies Involving Immersive Virtual Reality for STEM Education - Educational Psychology Review
A substantial amount of media comparison research has been conducted in the last decade to investigate whether students learn Science, Technology, Engineering, and Mathematics (STEM) content better…
doi.org
June 26, 2025 at 12:18 PM
This article does a nice job describing the dos & do-not-dos of media comparison research. People wishing to compare e.g., ChatGPT v. traditional instruction would be wise to review the "Background on Technology in Education" section. #PsychSciSky #AcademicSky #EduSky doi.org/10.1007/s106...
Reposted by Kaleb
Experimentology is out today!!! A group of us wrote a free online textbook for experimental methods, available at experimentology.io - the idea was to integrate open science into all aspects of the experimental workflow from planning to design, analysis, and writing.
July 1, 2025 at 6:26 PM
Experimentology is out today!!! A group of us wrote a free online textbook for experimental methods, available at experimentology.io - the idea was to integrate open science into all aspects of the experimental workflow from planning to design, analysis, and writing.
Reposted by Kaleb
Positron now supports a chat panel with Claude and it's pretty neat
June 4, 2025 at 4:41 AM
Positron now supports a chat panel with Claude and it's pretty neat
Reposted by Kaleb
I read *a lot* of scientific abstracts that are missing key elements.
Here are the 5 things an abstract needs:
1. Introduce the topic,
2. State the unknown,
3. Outline the method used to answer the question,
4. Preview the findings, and
5. Tell us what your work teaches us.
Here are the 5 things an abstract needs:
1. Introduce the topic,
2. State the unknown,
3. Outline the method used to answer the question,
4. Preview the findings, and
5. Tell us what your work teaches us.
June 5, 2025 at 1:36 PM
I read *a lot* of scientific abstracts that are missing key elements.
Here are the 5 things an abstract needs:
1. Introduce the topic,
2. State the unknown,
3. Outline the method used to answer the question,
4. Preview the findings, and
5. Tell us what your work teaches us.
Here are the 5 things an abstract needs:
1. Introduce the topic,
2. State the unknown,
3. Outline the method used to answer the question,
4. Preview the findings, and
5. Tell us what your work teaches us.
Reposted by Kaleb
"Even when explicitly prompted for accuracy, most LLMs produced broader generalizations of scientific results than those in the original texts."
May 20, 2025 at 12:37 AM
"Even when explicitly prompted for accuracy, most LLMs produced broader generalizations of scientific results than those in the original texts."
Reposted by Kaleb
Trying again!
uofi.box.com/s/9llu70jkrf...
uofi.box.com/s/9llu70jkrf...
Still Masked Still Right Fact Sheet - 05072025.pdf | Powered by Box
uofi.box.com
May 7, 2025 at 11:46 PM
Trying again!
uofi.box.com/s/9llu70jkrf...
uofi.box.com/s/9llu70jkrf...
Reposted by Kaleb
Say it after me: Chat GPT is not a search engine. It does not scan the web for information, it just generates statistically likely sentences. You cannot use it a search engine, or as a substitute for searching.
Now. Please never use an LLM for information searches ever again.
Now. Please never use an LLM for information searches ever again.
April 30, 2025 at 11:31 PM
Say it after me: Chat GPT is not a search engine. It does not scan the web for information, it just generates statistically likely sentences. You cannot use it a search engine, or as a substitute for searching.
Now. Please never use an LLM for information searches ever again.
Now. Please never use an LLM for information searches ever again.