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Direct linkBottge, Brian A.; Ma, Xin; Gassaway, Linda J.; Jones, Megan; Gravil, Meg – Remedial and Special Education, 2021
Learning to compute with fractions is a major challenge for many students and especially for students with disabilities (SWD). Phase 1 of this study employed a randomized pretest-posttest comparison design to test the effects of two versions of formative assessment combined with an instructional program called Fractions at Work. In one condition,…
Descriptors: Formative Evaluation, Fractions, Computation, Students with Disabilities
Bottge, Brian A.; Ma, Xin; Gassaway, Linda J.; Jones, Megan; Gravil, Meg – Grantee Submission, 2020
Learning to compute with fractions is a major challenge for many students and especially for students with disabilities (SWD). Phase 1 of this study employed a randomized pretest-posttest comparison design to test the effects of two versions of formative assessment combined with an instructional program called Fractions at Work. In one condition,…
Descriptors: Formative Evaluation, Fractions, Computation, Students with Disabilities
Bottge, Brian A.; Cohen, Allan S.; Choi, Hye-Jeong – Exceptional Children, 2018
In this article, we describe results of a reanalysis of two randomized studies that tested the effects of enhanced anchored instruction (EAI) on the fractions computation performance of students in special education resource rooms and inclusive mathematics classrooms. Latent class analysis and latent transition analysis classified students…
Descriptors: Mathematics Instruction, Intervention, Resource Room Programs, Inclusion
Cho, Sun-Joo; Bottge, Brian A. – Grantee Submission, 2015
In a pretest-posttest cluster-randomized trial, one of the methods commonly used to detect an intervention effect involves controlling pre-test scores and other related covariates while estimating an intervention effect at post-test. In many applications in education, the total post-test and pre-test scores that ignores measurement error in the…
Descriptors: Item Response Theory, Hierarchical Linear Modeling, Pretests Posttests, Scores
Bottge, Brian A.; Cohen, Allan S.; Choi, Hye-Jeong – Grantee Submission, 2017
In this article, we describe results of a reanalysis of two randomized studies that tested the effects of enhanced anchored instruction (EAI) on the fractions computation performance of students in special education resource rooms and inclusive mathematics classrooms. Latent class analysis and latent transition analysis classified students…
Descriptors: Mathematics Instruction, Intervention, Resource Room Programs, Inclusion
Cho, Sun-Joo; Preacher, Kristopher J.; Bottge, Brian A. – Grantee Submission, 2015
Multilevel modeling (MLM) is frequently used to detect group differences, such as an intervention effect in a pre-test--post-test cluster-randomized design. Group differences on the post-test scores are detected by controlling for pre-test scores as a proxy variable for unobserved factors that predict future attributes. The pre-test and post-test…
Descriptors: Structural Equation Models, Hierarchical Linear Modeling, Intervention, Program Effectiveness
Peer reviewedBottge, Brian A.; Watson, Elizabeth A. – Journal of Special Education Technology, 2002
A study examined a method of instruction using video-based problems to help four incarcerated adults with emotional and learning disabilities improve their procedural and problem solving skills. A theoretical model for teaching mathematics guided instruction. Results showed that individuals learned to compute fractions and solve a multi-step,…
Descriptors: Adults, Audiovisual Instruction, Emotional Disturbances, Fractions
