Transformation of Rasch model logits for enhanced interpretability.

ABSTRACT:

Background

The Rasch model allows for linear measurement based on ordinal item responses from rating scales commonly used to assess health outcomes. Such linear measures may be inconvenient since they are expressed as log-odds units (logits) that differ from scores that users may be familiar with. It can therefore be desirable to transform logits into more user-friendly ranges that preserve their linear properties. In addition to user-defined ranges, three general transformations have been described in the literature: the least measurable difference (LMD), the standard error of measurement (SEM) and the least significant difference (LSD). The LMD represents the smallest possible meaningful unit, SEM relates the transformed scale values to measurement uncertainty (one unit on the tr

SUBMITTER: Ekstrand J 

PROVIDER: S-EPMC9783398 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature