Inter-rater reliability matters when judgments differ. Here’s how hypothesis testing helps us measure agreement beyond chance.
#statistics #researchmethods #interraterreliability https://jameshoward.us/2025/09/03/hypothesis-testing-for-inter-rater-reliability
Hypothesis Testing for Inter-Rater Reliability
Hypothesis testing for inter-rater agreement sounds like something you might find buried in the appendix of a methods textbook, but it shows up in more of our lives than we...
#statstab #171 Guideline of Selecting & Reporting Intraclass Correlation Coefficients for Reliability Research
Thoughts: "There are 10 forms of ICCs." Are you reporting the correct one? Find out!
#ICC #modelcomparison #reliability #interraterreliability
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4913118/#!po=15.7143
A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research
Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses. This article introduces the basic concept of ICC in the content of reliability analysis.There are 10 forms of ...
On the reliability of inter-rater agreement scores. This is a serious problem when interpreting crowd-sourced annotations.
https://interhumanagreement.substack.com/p/kappa-scores-considered-harmful #interraterreliability
Kappa scores considered harmful
While popular, this data quality measure has some critical flaws, that have been known for a long time, but are often ignored.
I need help computing an #interraterReliability score for a dataset of ratings that had more than one response format and that has some missing data.
Here's a reproducible toy example with more info: "How to clean redundancies and missings in rater dataset and then compute reliability (e.g., Cohen's kappa) using R?"
https://stackoverflow.com/questions/73912754/how-to-clean-redundancies-and-missings-in-rater-dataset-and-then-compute-reliabi
#rStats #dataAnalysis #dataScience #R #Rstudio #stats
How to clean redundancies and missings in rater dataset and then compute reliability (e.g., Cohen's kappa) using R?
I've nearly 10,000 rows of numeric and text ratings about various items from up to 5 raters. I need to
1. Clean the data (particularly redundancies and empty ratings)
2. Compute inter-rater reliabi...
Dr. James Howard
Dr Mircea Zloteanu 🌺🌞🍃
chris brockett
Nick Byrd, Ph.D.