As an alternative to linear stretching, we look into the observed score equating approach in this post and the next. The easiest form of observed score equating is linear equating: a powerful approach that corrects for biases in the mean and standard deviation while harmonizing different instruments. Als Alternative zu …
Linear stretching is a frequently used approach to combine data from response scales with different numbers of response options. In linear stretching, the scales’ minimum and maximum scores are set as equal, respectively, and all values in between are spread with equal distances within this range. However, while temptingly easy …
The scores in our dataset are not reality itself; they are glimpses at reality through the lens of the respective measurement instrument. In research practice, that distinction sometimes takes a backseat. However, if we want to combine numerical scores of different instruments, then the relationship between measurement and reality becomes …
This month we delve into an important but difficult matter in harmonization in general and ex-post harmonization in particular: How can we determine if two instruments measure the same concept? This is especially hard if the concepts are latent (i.e., not directly observable). Diesen Monat beschäftigen wir uns mit einem …
Post 1 in the series “Adventures in ex-post harmonization” Ex-post harmonization – combining data from different surveys – requires quite some effort. In this post, we explore the many reasons why it is still worth it. All benefits discussed here apply equally to large scale and smaller ex-post harmonization efforts. …
A blog post series on harmonizing data from different surveys. In this series of blog posts, we will explore ex-post harmonization: the art of combining data from different surveys. In this introductory post, I explain the motivation behind the series and outline the upcoming topics. The series is aimed at …