The article examines theoretical issues associated with measurement in the human sciences and ensuring data from rating scale instruments are measures. An argument is made that using raw scores from rating scale instruments for subsequent arithmetic operations and applying linear statistics is less preferable than using measures. These theoretical matters are then illustrated by a report on the application of the Rasch Rating Scale Model in an investigation into elementary school classroom learning culture.