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Showing 1 to 15 of 26 results Save | Export
Michelle Loveless – ProQuest LLC, 2024
The purpose of this study was to fill a gap in the current research related to educational diagnostician retention and job satisfaction and provide insight for current leaders of special education programs and campus administrators on ways to attract and retain educational diagnosticians to/in their schools. Educational diagnosticians certified in…
Descriptors: Job Satisfaction, Educational Diagnosis, Specialists, Special Education
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Schmitt, Lukas; Weber, Anke; Venitz, Laura; Leuchter, Miriam – British Journal of Educational Psychology, 2023
Background: The importance of diagnostic and scaffolding activities for early science learning has been shown consistently. However, preschool teachers scarcely engage in them. We developed an instrument to assess preschool teachers' willingness to engage in diagnostic and scaffolding activities in science learning situations and examined its…
Descriptors: Preschool Teachers, Preschool Education, Scaffolding (Teaching Technique), Student Attitudes
Elizabeth Hamilton Fox – ProQuest LLC, 2023
The relationships between response to intervention (RTI) data, cognitive ability, academic achievement, identification methods, and specific learning disability (SLD) identification have been studied extensively in recent years; however, an empirically supported method of identifying a learning disability has yet to be agreed upon. Without a…
Descriptors: Learning Disabilities, Predictor Variables, Disability Identification, Educational Diagnosis
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Bowers, Alex J.; Zhou, Xiaoliang – Journal of Education for Students Placed at Risk, 2019
Early Warning Systems (EWS) and Early Warning Indictors (EWI) have recently emerged as an attractive domain for states and school districts interested in predicting student outcomes using data that schools already collect with the intention to better time and tailor interventions. However, current diagnostic measures used across the domain do not…
Descriptors: Accuracy, Predictor Variables, Outcomes of Education, Educational Diagnosis
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Bildiren, Ahmet; Kiziltepe, Gözde Inal – Journal of Education and Learning, 2018
The diagnosis of preschool gifted children in Turkey has just come up in recent years. Therefore, there is a need for measurement tools that can be applied during the diagnosis phase of preschool gifted children. The aim of this study was to diagnose the relation between the non-verbal and culture-independent Colour Progressive Matrices Test…
Descriptors: Foreign Countries, Intelligence Tests, Cognitive Ability, Preschool Children
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Quirk, Matthew; Dowdy, Erin; Dever, Bridget; Carnazzo, Katherine; Bolton, Courtney – Journal of Psychoeducational Assessment, 2018
Researchers examined the concurrent and predictive validity of a brief (12-item) teacher-rated school readiness screener, the Kindergarten Student Entrance Profile (KSEP), using receiver operating characteristic (ROC) curve analysis to examine associations between (N = 78) children's social-emotional (SE) and cognitive (COG) readiness with…
Descriptors: School Readiness, Educational Diagnosis, Screening Tests, Predictive Validity
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Abu-Hamour, Bashir; Al-Hmouz, Hanan – Australian Journal of Learning Difficulties, 2016
The major purpose of this study was to investigate the prevalence of learning difficulties (LDs) among primary school students (Grade 1 to Grade 3) in Jordan. A total of 306 students were randomly selected and tested using the Arabic version of the Woodcock-Johnson Basic Achievement Tests that measure reading, spelling, and calculation skills. The…
Descriptors: Foreign Countries, Learning Problems, Incidence, Elementary School Students
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Cummings, Kelli D.; Smolkowski, Keith – Assessment for Effective Intervention, 2015
This paper aims to translate for practitioners the principles and methods for evaluating screening measures in education, including benchmark goals and cut points, from our technical manuscript "Evaluation of Diagnostic Systems: The Selection of Students at Risk of Academic Difficulties" (this issue). We offer a brief description of…
Descriptors: Identification, At Risk Students, Learning Disabilities, Student Characteristics
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Wladis, Claire; Conway, Katherine M.; Hachey, Alyse C. – Online Learning, 2016
This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…
Descriptors: Online Courses, Electronic Learning, Learning Readiness, Student Characteristics
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Abahusain, Wedad A. – International Education Studies, 2016
This study aims at finding out the parents' level of satisfaction with the integration of their daughters with learning disabilities in regular schools in Riyadh, Saudi Arabia. The study sample consisted of 283 parents of female students. The instrument of data collection was a questionnaire consisting of 59 items for 10 domains. The study results…
Descriptors: Learning Disabilities, Females, Inclusion, Parent Attitudes
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Munter, Charles; Wilhelm, Anne Garrison; Cobb, Paul; Cordray, David S. – Journal of Research on Educational Effectiveness, 2014
This article draws on previously employed methods for conducting fidelity studies and applies them to an evaluation of an unprescribed intervention. We document the process of assessing the fidelity of implementation of the Math Recovery first-grade tutoring program, an unprescribed, diagnostic intervention. We describe how we drew on recent…
Descriptors: Intervention, Program Implementation, Mathematics Education, Educational Diagnosis
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Ang, Rebecca P.; Rescorla, Leslie A.; Achenbach, Thomas M.; Ooi, Yoon Phaik; Fung, Daniel S. S.; Woo, Bernardine – Child Psychiatry and Human Development, 2012
This study examined the criterion validity of the Child Behavior Checklist (CBCL) and Teacher's Report Form (TRF) problem scales and items in demographically-matched Singapore samples of referred and non-referred children (840 in each sample for the CBCL and 447 in each sample for the TRF). Internal consistency estimates for both the CBCL and TRF…
Descriptors: Foreign Countries, Health Services, Check Lists, Mental Health Programs
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Pettygrove, Sydney; Pinborough-Zimmerman, Judith; Meaney, F. John; Van Naarden Braun, Kim; Nicholas, Joyce; Miller, Lisa; Miller, Judith; Rice, Catherine – Journal of Autism and Developmental Disorders, 2013
Autism spectrum disorders (ASD) prevalence estimates derived from a single data source under-identify children and provide a biased profile of case characteristics. We analyzed characteristics of 1,919 children with ASD identified by the Autism and Developmental Disabilities Monitoring Network. Cases ascertained only at education sources were…
Descriptors: Pervasive Developmental Disorders, Autism, Predictor Variables, Educational Diagnosis
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Marc Marschark; Debra M. Shaver; Katherine Nagle; Lynn A. Newman – Grantee Submission, 2015
Research suggests that the academic achievement of deaf and hard-of-hearing (DHH) students is the result of a complex interplay of many factors. These factors include characteristics of the students (e.g., hearing thresholds, language fluencies, mode of communication, and communication functioning), characteristics of their family environments…
Descriptors: Predictor Variables, Academic Achievement, Deafness, Hearing Impairments
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Marc Marschark; Debra M. Shaver; Katherine M. Nagle; Lynn A. Newman – Exceptional Children, 2015
Research suggests that the academic achievement of deaf and hard-of-hearing (DHH) students is the result of a complex interplay of many factors. These factors include characteristics of the students (e.g., hearing thresholds, language fluencies, mode of communication, and communication functioning), characteristics of their family environments…
Descriptors: Predictor Variables, Academic Achievement, Deafness, Hearing Impairments
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