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 in | Learning disability quarterly Vol. 42; no. 3; pp. 175 - 185 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Los Angeles, CA
Sage Publications, Inc
01.08.2019
SAGE Publications SAGE Publications and Hammill Institute on Disabilities SAGE PUBLICATIONS, INC |
Subjects | |
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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. |
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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. |
Author_xml | – sequence: 1 givenname: Ibrahim H. surname: Dahlstrom-Hakki fullname: Dahlstrom-Hakki, Ibrahim H. – sequence: 2 givenname: Zachary G. surname: Alstad fullname: Alstad, Zachary G. |
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CitedBy_id | crossref_primary_10_1007_s10055_023_00933_6 crossref_primary_10_1016_j_jmathb_2020_100798 crossref_primary_10_1016_j_compedu_2020_103842 crossref_primary_10_1007_s10763_020_10140_3 |
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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 |
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