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Mercedes Baggett; Lindsay L. Diamond; Abbie Olszewski – Intervention in School and Clinic, 2024
Even though the most prevalent category of disability served in the U.S. school system is specific learning disabilities (SLD), practitioners are often unfamiliar with the indicators associated with a specific LD such as dysgraphia and dyslexia. Misconceptions or an absence of understanding of the behavioral indicators related to dysgraphia and…
Descriptors: Learning Disabilities, Dyslexia, Children, Writing (Composition)
Rebecca Upsher; Eleanor Dommett; Sophie Carlisle; Sarah Conner; Geraldene Codina; Anna Nobili; Nicola C. Byrom – Journal of New Approaches in Educational Research, 2025
In educational research, the complexity of interventions and the diversity of contexts challenge the adequacy of existing reporting standards, primarily tailored for health interventions and randomised controlled trials. Recognising the critical need for appropriate tools to support education research, we developed two checklists: the CheckList Of…
Descriptors: Educational Research, Intervention, Check Lists, Standards
Dragos Iliescu; Dave Bartram; Pia Zeinoun; Matthias Ziegler; Paula Elosua; Stephen Sireci; Kurt F. Geisinger; Aletta Odendaal; Maria Elena Oliveri; Jon Twing; Wayne Camara – International Journal of Testing, 2024
The "Test Adaptation Reporting Standards" (TARES), or "TARES statement" was developed to alleviate the problems arising from inadequate reporting of test adaptation procedures. The TARES contains a short preamble and a checklist, that comprises an evidence-based minimum set of information for reporting in test adaptations. The…
Descriptors: Test Use, Outcome Measures, Check Lists, Evidence Based Practice
Chengan Yuan; Lanqi Wang; Qing Archer Zhang; Qiuyu Min; Erin Rotheram-Fuller; Juliet Hart Barnett – Journal of Behavioral Education, 2024
Involving typically developing (TD) children in delivering interventions can be an effective strategy conducive to long-lasting and generalized behavior changes for their siblings with autism spectrum disorder (ASD). In this study, we recruited two sibling dyads and investigated the extent to which TD children could deliver the model-lead-test…
Descriptors: Intervention, Siblings, Autism Spectrum Disorders, Skill Development
Norton Kitanishi; Daniela Bordini; Marcos V. V. Ribeiro; Cristiane Silvestre Paula; Helena Brentani; Joana Portelese; Pamela J. Surkan; Silvia S. Martins; Jair de Jesus Mari; Paola Matiko Martins Okuda; Sheila C. Caetano – Autism: The International Journal of Research and Practice, 2025
Early identification of autism spectrum disorder through cost-effective screening is crucial in low- and middle-income countries. The Child Behavior Checklist 1.5-5, using the Autism Spectrum Problems and Withdrawn Syndrome subscales, has potential as a level 1 autism spectrum disorder screening tool, though its construct validity in low- and…
Descriptors: Autism Spectrum Disorders, Disability Identification, Screening Tests, Test Validity
Lauren Berkovits; Jan Blacher; Abbey Eisenhower; Stuart Daniel – Journal of Autism and Developmental Disorders, 2025
Purpose: Comparative data of autism-sensitive standardized measures of emotion regulation and lability, describing percentage change over time for populations of young autistic children, are currently publicly unavailable. We propose publication of such data as a support for future therapeutic intervention studies. Methods: We generate and present…
Descriptors: Emotional Response, Check Lists, Autism Spectrum Disorders, Comparative Analysis
Qiuyue Yang; Jon-Chao Hong; Jianjun Gu – International Journal of Technology and Design Education, 2024
Arts design has been proven to enable designers to have a meaningful learning of STEAM, but research on a checklist for assessing Arts design based on evaluating entries in a STEAM contest is still rare. Therefore, this study developed a checklist for assessing Arts design for evaluating miniature robots in a STEAM contest. Using an example of…
Descriptors: STEM Education, Art Education, Foreign Countries, Check Lists
Region 17 Comprehensive Center, 2024
States have different reasoning, timelines, and governing agencies that determine why and when academic standards are revised. A state review of academic standards involves many steps--a process that can take months or years. This guide provides a checklist for state education leaders to consider when developing the various components of an…
Descriptors: State Departments of Education, Academic Standards, Evaluation Methods, State Standards
Kathleen B. Aspiranti; Daniel F. McCleary; Sara Ebner; Jessica Blake; Lauren E. Biggs; Reggie N. Rios – Psychology in the Schools, 2024
Creating a plan for crisis prevention, intervention, and postvention procedures allows schools to prepare for the traumatic consequences when a crisis inevitably occurs. The comprehensive crisis plan checklist--second edition (CCPC-2; McCleary & Aspiranti, 2020) is a 102-item tool created for evaluating individual school and district crisis…
Descriptors: Crisis Management, Emergency Programs, Check Lists, Prevention
Bobrovitz, Niklas; Noël, Kim; Li, Zihan; Cao, Christian; Deveaux, Gabriel; Selemon, Anabel; Clifton, David A.; Yanes-Lane, Mercedes; Yan, Tingting; Arora, Rahul K. – Research Synthesis Methods, 2023
Risk of bias (RoB) assessments are a core element of evidence synthesis but can be time consuming and subjective. We aimed to develop a decision rule-based algorithm for RoB assessment of seroprevalence studies. We developed the SeroTracker-RoB algorithm. The algorithm derives seven objective and two subjective critical appraisal items from the…
Descriptors: Decision Making, Algorithms, Risk, Bias
Derrington, Mary Lynne; Jackson, Toni; Campbell, John W. – Educational Management Administration & Leadership, 2023
This study explored principals' reactions to findings from a survey regarding their teachers' evaluation beliefs. As participants in a longitudinal study, these principals were invited to focus group meetings to discuss the teacher survey data, which were sent to them for review prior to the meetings. They were asked to consider data that were…
Descriptors: Principals, Administrator Attitudes, Knowledge Level, Teacher Evaluation
Ruofei Zhang; Di Zou; Gary Cheng – Education and Information Technologies, 2024
Research on technology-enhanced language learning (TELL) has been rapidly growing since 2000, of which the attention is mostly on the statistically significant positive results. However, learning from TELL with null and negative results (NNR), especially its features and reasons, can develop knowledge and awareness of the nature and limitations of…
Descriptors: Computer Assisted Instruction, Technology Uses in Education, Second Language Learning, Social Theories
Hairui Yu; Suzanne E. Perumean-Chaney; Kathryn A. Kaiser – Journal of Statistics and Data Science Education, 2024
Missing data can significantly influence results of epidemiological studies. The National Health and Nutrition Examination Survey (NHANES) is a popular epidemiological dataset. We examined recent practices related to the prevalence and the reporting of the amount of missing data, the underlying mechanisms, and the methods used for handling missing…
Descriptors: Statistics Education, Data Science, Data Use, Research Problems
Lauren Beaulieu; Daniel Kwak; Corina Jimenez-Gomez; Gabrielle Morgan – Journal of Applied Behavior Analysis, 2024
We discuss the use of two empirically validated behavior-change methods--checklists and goal setting--and designed a checklist to assist behavior analysts in improving their behavioral services to be more culturally responsive and trauma informed. We also present pilot data evaluating the use of the checklist and goal setting on the inclusion of…
Descriptors: Culturally Relevant Education, Trauma Informed Approach, Goal Orientation, Check Lists
Marissa J. Filderman; Samantha A. Gesel – TEACHING Exceptional Children, 2024
Data-based decision making (DBDM) is a process of using student data to inform instructional decisions and intensify intervention for students whose data indicate inadequate academic and behavioral progress. Data teams, an important structure for DBDM, are a collaborative group of school faculty who meet to systematically analyze student data,…
Descriptors: Evidence Based Practice, Decision Making, Data Use, Intervention