Modeling the time-varying nature of student exceptionality classification on achievement growth

Journal article

Nese, Joseph, Stevens, Joseph, Schulte, Ann, Tindal, Gerald and Elliott, Stephen. (2017). Modeling the time-varying nature of student exceptionality classification on achievement growth. Journal of Special Education. 51(1), pp. 38 - 49. https://doi.org/10.1177/0022466916668164
AuthorsNese, Joseph, Stevens, Joseph, Schulte, Ann, Tindal, Gerald and Elliott, Stephen
Abstract

Our purpose was to examine different approaches to modeling the time-varying nature of exceptionality classification. Using longitudinal data from one state’s mathematics achievement test for 28,829 students in Grades 3 to 8, we describe the reclassification rate within special education and between general and special education, and compare four alternative growth models for students with and without disabilities with different specifications of disability classification as time-variant (TVC) or time-invariant (TIC) covariates. Although model fit statistics were inconsistent in endorsing a single model, we found that the TIC results were generally preferable to the TVC; however, the choice of model specification may rest on the purpose of the researcher and goals of representing the influence of covariates on growth.

Year2017
JournalJournal of Special Education
Journal citation51 (1), pp. 38 - 49
PublisherSAGE Publications Inc.
ISSN0022-4669
Digital Object Identifier (DOI)https://doi.org/10.1177/0022466916668164
Scopus EID2-s2.0-85018735965
Page range38 - 49
Research GroupInstitute for Learning Sciences and Teacher Education (ILSTE)
Publisher's version
File Access Level
Controlled
Place of publicationUnited States
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