Measurement protocols, random-variable-valued measurements, and response process error: Estimation and inference when sample data are not deterministic.

ABSTRACT: Random-variable-valued measurements (RVVMs) are proposed as a new framework for treating measurement processes that generate non-deterministic sample data. They operate by assigning a probability measure to each observed sample instantiation of a global measurement process for some particular random quantity of interest, thus allowing for the explicit quantification of response process error. Common methodologies to date treat only measurement processes that generate fixed values for each sample unit, thus generating full (though possibly inaccurate) information on the random quantity of interest. However, many applied research situations in the non-experimental sciences naturally contain response process error, e.g. when psychologists assess patient agreement with various diagnostic surve

SUBMITTER: Kroc E 

PROVIDER: S-EPMC7529193 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature