#statstab #528 Survey Bot Detection Workshop
Thoughts: "Pick a cutoff value for detecting random responders" can you spot the bots?
#OpenScience #bots #detection #sample #human #participants #deception #shinyapp #education #tutorial
| PUBS | https://scholar.google.com/citations?hl=en&user=kkEJtq0AAAAJ |
| Interests | #rstats #bayesian #dataviz #psychology #metapsych #openresearch #openscience |
| ORCID | https://orcid.org/0000-0002-2753-637X |
| Figuring Stuff Out (stats blog) | https://mzloteanu.substack.com/ |
#statstab #528 Survey Bot Detection Workshop
Thoughts: "Pick a cutoff value for detecting random responders" can you spot the bots?
#OpenScience #bots #detection #sample #human #participants #deception #shinyapp #education #tutorial
#statstab #526 A Meta-Analysis of the Impact and Heterogeneity of Explicit Demand Characteristics
Thoughts: The impact of the design on conclusions is under-appreciated
#demandcharacteristics #design #methodology #error #bias
#metascience #metaanalysis
#statstab #525 What Good Is a Regression? Inference to the Best Explanation and the Practice of Political Science Research
Thoughts: It's interesting to see how other fields consider the problem of knowledge generation
#524 Interactions in Logit Regressions: Why Positive May Mean Negative
Thoughts: Nonlinear models require a bit more caution for new researchers when making inferences.

Of all economics papers published this century, the 10th most cited appeared in Economics Letters , a journal with an impact factor of 0.5. It makes an inconvenient and counterintuitive point: the sign of the estimate (bΜ) of an interaction in a logit/probit regression, need not correspond to the sign of its effect on the...
#statstab #523 Equal vs. Proportional Weighting in Least-Squares Means
Thoughts: Interesting comparisons of bias for the two methods. Complex stuff.
I wonder what people make of this.
#weighting #error #bias #LSM #emmeans #covariates
https://imazubi.github.io/stats/stats_equal_vs_proportional_lsm/index_equal_vs_proportional_lsm.html
π¨ Come to iIIRG 2026 to hear our talk about better methods to analysing interview data! W/ Dr Cody Porter and @mattansb
RE: https://hachyderm.io/@rOpenSci/116369011699593006
I'm very excited about this collaboration between @rOpenSci's R-Universe and @bioconductor: modernizing build systems for #rstats while expanding and testing new models for governance and development.
Thanks to @jeroenooms for his leadership, the BioC team's collaboration, and @RConsortium's support!
We have a cover! Excited to be part of this. The publisher site for the book is https://www.routledge.com/Bayesian-Workflow/Gelman-Vehtari-McElreath-Simpson-Margossian-Yao-Kennedy-Gabry-Burkner-Modrak-Barajas/p/book/9780367490140
Note that a PDF will be freely downloadable once the book is out!