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Forthmann, Boris; Förster, Natalie; Souvignier, Elmar – Journal of Intelligence, 2022
Monitoring the progress of student learning is an important part of teachers' data-based decision making. One such tool that can equip teachers with information about students' learning progress throughout the school year and thus facilitate monitoring and instructional decision making is learning progress assessments. In practical contexts and…
Descriptors: Learning Processes, Progress Monitoring, Robustness (Statistics), Bayesian Statistics
Solomon, Benjamin G.; Forsberg, Ole J.; Thomas, Monelle; Penna, Brittney; Weisheit, Katherine M. – Assessment for Effective Intervention, 2022
Bayesian regression has emerged as a viable alternative for the estimation of curriculum-based measurement (CBM) growth slopes. Preliminary findings suggest such methods may yield improved efficiency relative to other linear estimators and can be embedded into data management programs for high-frequency use. However, additional research is needed,…
Descriptors: Oral Reading, Reading Fluency, Bayesian Statistics, Accuracy
Kim, Dan; Opfer, John E. – Developmental Psychology, 2017
Representations of numerical value have been assessed by using bounded (e.g., 0-1,000) and unbounded (e.g., 0-?) number-line tasks, with considerable debate regarding whether 1 or both tasks elicit unique cognitive strategies (e.g., addition or subtraction) and require unique cognitive models. To test this, we examined how well a mixed log-linear…
Descriptors: Computation, Numbers, Children, Cognitive Development
Cummings, Kelli D.; Stoolmiller, Michael L.; Baker, Scott K.; Fien, Hank; Kame'enui, Edward J. – Reading and Writing: An Interdisciplinary Journal, 2015
We present a method for data-based decision making at the school level using student achievement data. We demonstrate the potential of a national assessment database [i.e., the University of Oregon DIBELS Data System (DDS)] to provide comparative levels of school-level data on average student achievement gains. Through the DDS as a data source,…
Descriptors: Academic Achievement, Formative Evaluation, Achievement Gains, Bayesian Statistics
van Viersen, Sietske; Kroesbergen, Evelyn H.; Slot, Esther M.; de Bree, Elise H. – Journal of Learning Disabilities, 2016
This study investigated how gifted children with dyslexia might be able to mask literacy problems and the role of possible compensatory mechanisms. The sample consisted of 121 Dutch primary school children that were divided over four groups (typically developing [TD] children, children with dyslexia, gifted children, gifted children with…
Descriptors: Dyslexia, Academically Gifted, Reading Skills, Elementary School Students
Rojas, Raul; Iglesias, Aquiles – Child Development, 2013
Although the research literature regarding language growth trajectories is burgeoning, the shape and direction of English Language Learners' (ELLs) language growth trajectories are largely not known. This study used growth curve modeling to determine the shape of ELLs' language growth trajectories across 12,248 oral narrative language samples…
Descriptors: English Language Learners, Spanish Speaking, Second Language Learning, Oral Language
Terry, J. Michael; Jackson, Sandra C.; Evangelou, Evangelos; Smith, Richard L. – Topics in Language Disorders, 2010
This study tests the extent to which giving credit for African American English (AAE) responses on a General American English sentence imitation test mitigates dialect effects. Forty-eight AAE-speaking second graders completed the Recalling Sentences subtest of the Clinical Evaluation of Language Fundamentals-Third Edition (1995). A Bayesian…
Descriptors: Sentences, Black Dialects, Markov Processes, Syntax