Standard Error of Measurement and Confidence Intervals (PDE: Module 10)
This module examines the role of standard error of measurement in standardized language and psycho-educational tests.
This module examines the role of standard error of measurement in standardized language and psycho-educational tests.
Now that viewers have completed the video module series and learned about the bias and psychometric flaws inherent in standardized tests, Cate asks evaluators to change the clinical practice.
This was one of the first of many articles publishing research demonstrating the severe limitations of using commercially available child language tests when assessing children for speech and language disability.
A standard deviation (SD) is a quantity derived from the distribution of scores from a normative sample and can be defined as the average distance (or deviation) from the mean.
The standard error of measure indicates the amount of uncertainty that a sample (such as a normative sample) is truly representative of the general population. In the case of administering standardized tests, it conveys the level of uncertainty that a single test performance observed by the evaluator represents how the child would do if it were administered multiple times.