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McNeill, Brigid; McIlraith, Autumn L.; Macrae, Toby; Gath, Megan; Gillon, Gail – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The aim of this study was to describe and explain changes in severity of speech sound disorder (SSD) and token-to-token inconsistency in children with high levels of inconsistency. Method: Thirty-nine children (aged 4;6-7;11 [years;months]) with SSDs and high levels of token-to-token inconsistency were assessed every 6 months for 2 years…
Descriptors: Predictor Variables, Speech Language Pathology, Communication Disorders, Language Impairments
McNeish, Daniel; Peña, Armando; Vander Wyst, Kiley B.; Ayers, Stephanie L.; Olson, Micha L.; Shaibi, Gabriel Q. – Grantee Submission, 2021
Growth mixture models (GMMs) are applied to intervention studies with repeated measures to explore heterogeneity in the intervention effect. However, traditional GMMs are known to be difficult to estimate, especially at sample sizes common in single-center interventions. Common strategies to coerce GMMs to converge involve post-hoc adjustments to…
Descriptors: Prevention, Intervention, Growth Models, Program Effectiveness
Soland, James; Thum, Yeow Meng – Journal of Research on Educational Effectiveness, 2022
Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…
Descriptors: Academic Achievement, Longitudinal Studies, Data Use, Computation
Kuhfeld, Megan; Soland, James – Journal of Research on Educational Effectiveness, 2021
Important educational policy decisions, like whether to shorten or extend the school year, often require accurate estimates of how much students learn during the year. Yet, related research relies on a mostly untested assumption: that growth in achievement is linear throughout the entire school year. We examine this assumption using a dataset…
Descriptors: Growth Models, Reading Achievement, Mathematics Achievement, Achievement Gains
van Halem, Nicolette; Cornelisz, Ilja; Daly, Alan; van Klaveren, Chris – International Journal of Research & Method in Education, 2023
In educational contexts where many domains subject to improvement are interdependent and causal evidence is frequently lacking it is difficult, if not impossible, for policymakers and educational practitioners to decide which domain should be invested in. This paper proposes a new method that uses Conditional Mean Independent Correlations (CMIC)…
Descriptors: Educational Improvement, Evaluation Methods, Decision Making, Growth Models
Jason F. Bletzinger – ProQuest LLC, 2023
Now more than ever, school principals play a critical role in the effective implementation of inclusive education programs in their schools, as inclusive practices are becoming tightly embedded in a school's culture (Sailor, 2016; Shogren et al., 2015). The success of inclusive education programs has been primarily supported by school principals'…
Descriptors: Inclusion, Administrator Attitudes, Principals, Growth Models