The Bivariate Normal Distribution and the IQ of Learning Disability Samples

Author:

Burns Edward1

Affiliation:

1. Edward Burns is associate professor, division of professional education at the State University of New York at Binghamton. He received his PhD in special education from the University of Michigan. Address: Division of Professional Education, State University of New York at Binghamton, Binghamton, NY 13901.

Abstract

Several studies have indicated that the average IQ score of many learning disability samples is significantly below 100, although above the educable mental retardation range. The bivariate normal probability distribution was used to explain how selecting cases with achievement scores below a given z score cutoff (e.g., scores less than -1.0) and IQ scores above a given cutoff (e.g., IQ scores 80 or greater) can result in an average IQ score significantly below 100. Because of the relationship between achievement and IQ, as the correlation between achievement and IQ increases, the average IQ score of learning disability samples decreases. The bivariate normal probability distribution was illustrated by considering correlations of 0.0, .5, and 1.0.

Publisher

SAGE Publications

Subject

General Health Professions,Education,Health (social science)

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Computer generation of bivariate normal-curve values;Behavior Research Methods, Instruments, & Computers;1996-06

2. Prevalence of Communication Disorders in Students with Learning Disabilities;Journal of Learning Disabilities;1989-01

3. Reality Perceptions of Television: A Comparison of School-Labeled Learning-Disabled and Nonhandicapped Children;Journal of Clinical Child Psychology;1988-03

4. Perspective;Journal of Learning Disabilities;1986-10

5. Discrepancy models and the meaning of learning disability;Technological Applications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3