Correction for measurement error

About

This crash-course to correction for measurement error in survey data starts with defining measurement error and highlighting why it is important to take it into account in statistical analyses using survey data.

Target group

Students, researchers, business professionals who need to develop good quality surveys and/or need to apply appropriate and up-to-date statistical methods. At the conclusion of the Summer School, participants will receive a certificate for each course and with the number of hours attended.

Course aim

We will move on to discuss the challenges of estimating measurement error, briefly revising different procedures. We will focus on the approach behind the prediction of measurement error using the free-access Survey Quality Predictor (SQP) software (http://sqp.upf.edu/).
Once we know what measurement error is, why it is important to correct for it and how we estimate it, we can learn the basics of correction for measurement error in regression analysis.