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Yi Zheng; Kang Lee; Li Zhao – Developmental Science, 2024
Three preregistered studies examined whether 5-year-old children cheat consistently or remain honest across multiple math tests. We observed high consistency in both honesty and cheating. All children who cheated on the first test continued cheating on subsequent tests, with shorter cheating latencies over time. In contrast, 77% of initially…
Descriptors: Cheating, Ethics, Early Childhood Education, Mathematics Tests
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T. S. van der Woude; R. M. Schüller-Korevaar; A.M. Ulgiati; G.J. Pavlis-Maldonado; J.H.M. Hovenkamp-Hermelink; A.D. Dekker – Journal of Developmental and Physical Disabilities, 2024
Timely diagnosis of dysphagia is important for people with an intellectual disability. Periodic screening of each individual by speech-language therapists is barely feasible with respect to limited resources. Therefore, preselection of individuals with an increased dysphagia risk through screening by caregivers is crucial. This study aimed to…
Descriptors: Screening Tests, Intellectual Disability, Test Construction, Test Validity
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Blaženka Divjak; Barbi Svetec; Damir Horvat – Journal of Computer Assisted Learning, 2024
Background: Sound learning design should be based on the constructive alignment of intended learning outcomes (LOs), teaching and learning activities and formative and summative assessment. Assessment validity strongly relies on its alignment with LOs. Valid and reliable formative assessment can be analysed as a predictor of students' academic…
Descriptors: Automation, Formative Evaluation, Test Validity, Test Reliability
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Aberdine R. Dwight; Amy M. Briesch; Jessica A. Hoffman; Christopher Rutt – Child & Youth Care Forum, 2024
Background: Although the Depression Anxiety Stress Scales, Short Form (DASS-21) was developed for adults, its authors noted no compelling reasons to not use the measure with youth as young as 12 years. Despite increasingly widespread use with youth, psychometric evidence in support of its use with this population needs to be investigated to fully…
Descriptors: Depression (Psychology), Measures (Individuals), Anxiety, Stress Variables
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Ginny Chadwick; Page D. Dobbs; Kathryn Gluesenkamp; Delanie Vinzant; Kevin D. Everett – Journal of American College Health, 2024
Objective: To develop an instrument to examine tobacco-free campus policy components. Participants: Missouri two- and four-year, specialized/technical, and religious colleges and universities (N = 76). Methods: The instrument was informed via literature review and expert interviews. Coder agreement was strong ([kappa] = 0.80). Qualitative policy…
Descriptors: Smoking, School Policy, Colleges, College Environment
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Thomas W. Frazier; Andrew J. O. Whitehouse; Susan R. Leekam; Sarah J. Carrington; Gail A. Alvares; David W. Evans; Antonio Y. Hardan; Mirko Uljarevic – Journal of Autism and Developmental Disorders, 2024
Purpose: The aim of the present study was to compare scale and conditional reliability derived from item response theory analyses among the most commonly used, as well as several newly developed, observation, interview, and parent-report autism instruments. Methods: When available, data sets were combined to facilitate large sample evaluation.…
Descriptors: Test Reliability, Item Response Theory, Autism Spectrum Disorders, Clinical Diagnosis
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Brian P. Shaw – Music Educators Journal, 2024
Nearly all music educators assign grades to students. However, not all methods for grading are equally effective at reporting student achievement. This article describes one approach to grading, standards-based grading, that has the potential to support music educators' efforts to achieve grades that are honest, meaningful, and fair. General…
Descriptors: Music Education, Music Teachers, Grading, Student Evaluation
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Jiangang Hao; Alina A. von Davier; Victoria Yaneva; Susan Lottridge; Matthias von Davier; Deborah J. Harris – Educational Measurement: Issues and Practice, 2024
The remarkable strides in artificial intelligence (AI), exemplified by ChatGPT, have unveiled a wealth of opportunities and challenges in assessment. Applying cutting-edge large language models (LLMs) and generative AI to assessment holds great promise in boosting efficiency, mitigating bias, and facilitating customized evaluations. Conversely,…
Descriptors: Evaluation Methods, Artificial Intelligence, Educational Change, Computer Software
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Ru Ying Cai; Gabrielle Hall; Elizabeth Pellicano – Autism: The International Journal of Research and Practice, 2024
Many autistic adults are likely to experience poor financial wellbeing and hardship due to unemployment and under-employment. Research in the general population demonstrates that subjective financial wellbeing--how people perceive their financial situation--influences quality of life. There is no research, however, examining the subjective…
Descriptors: Adults, Autism Spectrum Disorders, Well Being, Financial Problems
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Vsevolod Scherrer; Maria Jalynskij; Andrew J. Elliot; Jasmin L. Becker; Franzis Preckel – Journal of Educational Psychology, 2024
Stability and change in students' achievement goals (AGs) are of great relevance for educational research and practice. In two separate meta-analyses, we investigated the rank-order stability (93 studies, 569 effect sizes, 54,736 students), as well as the mean-level change (157 studies, 1,170 effect sizes, 81,464 students) in AGs throughout…
Descriptors: Elementary School Students, Middle School Students, High School Students, College Students
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Matthias Winfried Kleespies; Viktoria Feucht; Til Jonas Tille; Alina Miriam Bambach; Eva Gricar; Maximilian Claus; Michael Matthias Günther Konertz; Laura Kokott; Valentin Rupp; Valentin Bergmann; Volker Wenzel; Paul Wilhelm Dierkes – Measurement: Interdisciplinary Research and Perspectives, 2024
Human pro-environmental behavior in the private sphere is an important factor which influences nature and the environment and thus can contribute to the management of environmental problems. Although there are a variety of self-reported measurement tools for pro-environmental behavior, an established and validated measurement instrument for…
Descriptors: Ecology, Conservation (Environment), Test Construction, Behavior
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Eren Can Aybek; Serkan Arikan; Günes Ertas – International Journal of Assessment Tools in Education, 2024
When it is required to estimate item parameters of a large item bank, Multiple Matrix Sampling (MMS) design provides an efficient way while minimizing the test burden on students. The current study exemplifies how to calibrate a large item pool using MMS design for various purposes, such as developing a CAT administration. The purpose of the…
Descriptors: Elementary School Mathematics, Elementary School Students, Grade 4, Item Banks
Lucy Chambers; Emma Walland; Jo Ireland – Research Matters, 2024
Comparative Judgement (CJ) is traditionally and primarily used to compare written texts. In this study we explored whether we could extend its use to comparing audio files. We used GCSE Music portfolios which contained a mix of audio recordings, musical scores and text documents. Fifteen judges completed two exercises: one comparing musical…
Descriptors: Evaluative Thinking, Judges, Comparative Analysis, Reliability
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Chak Li; Meghan M. Burke; Julie Lounds Taylor; Leann S. DaWalt; Zachary Rossetti – Intellectual and Developmental Disabilities, 2024
Advocacy has long been heralded as a way to create change for individuals with intellectual and developmental disabilities (IDD) and their families. However, without an established measure, it is difficult to accurately characterize advocacy activities. Drawing from extant research, the Advocacy Activities Scale was developed to assess three…
Descriptors: Advocacy, Students with Disabilities, Intellectual Disability, Developmental Disabilities
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Chia-Ying Chu; Pei-Hua Chen; Yi-Shin Tsai; Chieh-An Chen; Yi-Chih Chan; Yan-Jhe Ciou – Journal of Deaf Studies and Deaf Education, 2024
This study investigated the impact of language sample length on mean length of utterance (MLU) and aimed to determine the minimum number of utterances required for a reliable MLU. Conversations were collected from Mandarin-speaking, hard-of-hearing and typical-hearing children aged 16-81 months. The MLUs were calculated using sample sizes ranging…
Descriptors: Foreign Countries, Mandarin Chinese, Young Children, Language Acquisition
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