Showing 1 - 2 of 2 Research Library Publications
Posted: | R.A. Feinberg, M. von Davier

Journal of Educational and Behavioral Statistics: Vol 45, Issue 5, 2020

 

This article describes a method for identifying and reporting unexpectedly high or low subscores by comparing each examinee’s observed subscore with a discrete probability distribution of subscores conditional on the examinee’s overall ability.

Posted: | M. von Davier

Quality Assurance in Education, Vol. 26 No. 2, pp. 243-262

 

Surveys that include skill measures may suffer from additional sources of error compared to those containing questionnaires alone. Examples are distractions such as noise or interruptions of testing sessions, as well as fatigue or lack of motivation to succeed. This paper aims to provide a review of statistical tools based on latent variable modeling approaches extended by explanatory variables that allow detection of survey errors in skill surveys.