In this module, Cate discusses the bias found in the WISC-4 Spanish. Using the normal curve, she plots the mean score of 2 groups- Group A: children from low SES backgrounds and Group B: children from high SES backgrounds.
This module examines the role of standard error of measurement in standardized language and psycho-educational tests.
This module examines different sources of bias that are present in commonly used standardized language tests.
This module presents the next two of nine critical questions that must be asked during the caregiver interview.
This module discusses the necessary data and information that must be in every evaluation so that the administrator can feel comfortable giving the child an IEP or not.
This module sets the standard for a competent evaluation. Cate presents how to incorporate examples from the evaluation and parent interview into holograms in order to produce a quality evaluation.
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.
This study proved that measures other than standardized language assessments can more accurately identify language impairment in culturally and linguistically diverse children (in this case monolingual Spanish speakers).
A hologram is a description of a child within an evaluation that illustrates the child’s strengths and weaknesses for the reader and should include examples that show the child’s ability to learn and highest level of functioning, as well as a description of when his or her skills break down.
A normal distribution, also called a bell curve, occurs when variables (i.e., test scores) plotted on a graph fall into a regular distribution around a single mean. In a normal distribution, about 96% of the scores will fall within 2 standard deviations of the mean.
