Matthias Roth (@rothm) and I published a new paper on survey data harmonization.
"One harmonization fits all? – Impact of missing population invariance on harmonization error when harmonizing social science survey questions with equating"
The paper again corroborates that observed score equating outperforms linear stretching on average. However, it also shows that it is better to derive a harmonization solution for single-item measures from a sample that is drawn from a similar population to the population you are interested in researching.
https://doi.org/10.1080/13645579.2025.2481112
#surveyresearch #surveymethods #harmonization