Challenges Assessing the Conceptual Understanding of Students With Disabilities in Statistics

Standardized assessment of content knowledge for STEM (Science, Technology, Engineering, Mathematics) topics is pervasive in both K-12 and postsecondary institutions. Yet, most instruments are developed with little to no validation for students with learning disability (LD), attention deficit hypera...

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Published inLearning disability quarterly Vol. 42; no. 3; pp. 175 - 185
Main Authors Dahlstrom-Hakki, Ibrahim H., Alstad, Zachary G.
Format Journal Article
LanguageEnglish
Published Los Angeles, CA Sage Publications, Inc 01.08.2019
SAGE Publications
SAGE Publications and Hammill Institute on Disabilities
SAGE PUBLICATIONS, INC
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Abstract Standardized assessment of content knowledge for STEM (Science, Technology, Engineering, Mathematics) topics is pervasive in both K-12 and postsecondary institutions. Yet, most instruments are developed with little to no validation for students with learning disability (LD), attention deficit hyperactivity disorder (ADHD), and autism spectrum disorder (ASD). In this study, we evaluate the effectiveness of new test instruments designed to assess conceptual understanding of statistics content and the extent to which construct-irrelevant factors, such as language processing, influence the performance of students with disabilities. Generalized linear mixed-effects modeling was used to identify the factors that were predictive of student performance. Results indicate that the average sentence length in word problems was uniquely predictive of student performance on emerging assessments of conceptual understanding. The results provide new evidence of the barriers facing students with disabilities on emerging tests of conceptual knowledge. A general framework for measuring the impact of these barriers and the effectiveness of accommodations is discussed.
AbstractList Standardized assessment of content knowledge for STEM (Science, Technology, Engineering, Mathematics) topics is pervasive in both K-12 and postsecondary institutions. Yet, most instruments are developed with little to no validation for students with learning disability (LD), attention deficit hyperactivity disorder (ADHD), and autism spectrum disorder (ASD). In this study, we evaluate the effectiveness of new test instruments designed to assess conceptual understanding of statistics content and the extent to which construct-irrelevant factors, such as language processing, influence the performance of students with disabilities. Generalized linear mixed-effects modeling was used to identify the factors that were predictive of student performance. Results indicate that the average sentence length in word problems was uniquely predictive of student performance on emerging assessments of conceptual understanding. The results provide new evidence of the barriers facing students with disabilities on emerging tests of conceptual knowledge. A general framework for measuring the impact of these barriers and the effectiveness of accommodations is discussed.
Audience Higher Education
Postsecondary Education
Author Dahlstrom-Hakki, Ibrahim H.
Alstad, Zachary G.
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Snippet Standardized assessment of content knowledge for STEM (Science, Technology, Engineering, Mathematics) topics is pervasive in both K-12 and postsecondary...
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SubjectTerms Academic Accommodations (Disabilities)
Academic Achievement
Attention Deficit Hyperactivity Disorder
Autism
Autism Spectrum Disorders
Barriers
College Students
Comprehension
Concept Formation
Educational evaluation
Elementary Secondary Education
Evaluation Methods
Introductory Courses
Language Processing
Learning Disabilities
Mathematics
Performance Factors
Pervasive Developmental Disorders
Sentences
Statistics
STEM education
Students with Disabilities
Word Problems (Mathematics)
Title Challenges Assessing the Conceptual Understanding of Students With Disabilities in Statistics
URI https://www.jstor.org/stable/26742926
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Volume 42
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