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Showing 1 to 15 of 34 results Save | Export
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Anass El Guenyari; Mohamed Chergui; Bouazza El Wahbi – Mathematics Teaching Research Journal, 2024
The present study falls into the efforts to improve practices for addressing errors produced by learners in various situations involving the calculation of integrals. We attempt to clarify as precisely as possible the types of errors that secondary school students produce when using integrals in algebraic and graphical frames. Based on the…
Descriptors: Calculus, Error Patterns, Factor Analysis, Mathematics Instruction
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Sideridis, Georgios D.; Jaffari, Fathima – Measurement and Evaluation in Counseling and Development, 2022
The present study describes an R function that implements six corrective procedures developed by Bartlett, Swain, and Yuan in the correction of 21 statistics associated with the omnibus Chi-square test, the residuals, or fit indices in confirmatory factor analysis (CFA) and structural equation modeling (SEM).
Descriptors: Statistical Analysis, Goodness of Fit, Factor Analysis, Structural Equation Models
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Anastasia Chouvalova; Anisha S. Navlekar; Devin J. Mills; Mikayla Adams; Sami Daye; Fatima De Anda; Lisa B. Limeri – International Journal of STEM Education, 2024
Background: Students employ a variety of study strategies to learn and master content in their courses. Strategies vary widely in their effectiveness for promoting deep, long-term learning, yet most students use ineffective strategies frequently. Efforts to educate students about effective study strategies have revealed that knowledge about…
Descriptors: Undergraduate Students, Error Patterns, Student Attitudes, Learning Strategies
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Dombrowski, Stefan C.; McGill, Ryan J.; Canivez, Gary L.; Watkins, Marley W.; Beaujean, A. Alexander – Journal of Psychoeducational Assessment, 2021
This article addresses conceptual and methodological shortcomings regarding conducting and interpreting intelligence test factor analytic research that appeared in the Decker, S. L., Bridges, R. M., Luedke, J. C., & Eason, M. J. (2020). Dimensional evaluation of cognitive measures: Methodological confounds and theoretical concerns.…
Descriptors: Factor Analysis, Intelligence Tests, Psychoeducational Methods, Error Patterns
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Leighton, Jacqueline P.; Guo, Qi; Tang, Wei – Learning Environments Research, 2022
Reflecting on academic errors is a critical skill for engaging with feedback for learning. However, teachers lack training in knowing how to create environments that promote reflection and help students to acquire this skill (Metcalfe, "Annual Review of Psychology," 68, 465-489). Part of the problem is that many teacher education…
Descriptors: Preservice Teachers, Student Attitudes, Error Patterns, Attitude Measures
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Kim, So Hyun; Buzzell, George; Faja, Susan; Choi, Yeo Bi; Thomas, Hannah R; Brito, Natalie Hiromi; Shuffrey, Lauren C.; Fifer, William P.; Morrison, Frederick D.; Lord, Catherine; Fox, Nathan – Autism: The International Journal of Research and Practice, 2020
Although electrophysiological (electroencephalography) measures of executive functions (e.g. error monitoring) have been used to predict academic achievement in typically developing children, work investigating a link between error monitoring and academic skills in children with autism spectrum disorder is limited. In this study, we employed…
Descriptors: Executive Function, Kindergarten, Autism, Pervasive Developmental Disorders
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Heitzmann, Nicole; Fischer, Frank; Fischer, Martin R. – Instructional Science: An International Journal of the Learning Sciences, 2018
To diagnose classroom situations is crucial for teachers' everyday practice. The approach of worked examples with errors seems promising to support the diagnosis of classroom situations in student teachers (Stark et al. in "Learn Instr" 21(1):22-33, 2011). To enhance that approach, error-explanation prompts and an adaptable feedback…
Descriptors: Error Patterns, Error Correction, Prompting, Diagnostic Teaching
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Almusharraf, Norah; Alotaibi, Hind – Educational Measurement: Issues and Practice, 2021
Committing errors is expected in the development of language acquisition and learning; however, there is limited research that contributes to the literature on the effect of gender of English as a foreign language (EFL) writing. This study explored the gender differences in EFL students' writing using two approaches: human evaluation and…
Descriptors: Gender Differences, Second Language Learning, Second Language Instruction, English (Second Language)
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Xie, Qin – Language Assessment Quarterly, 2020
This article describes the steps we went through in designing and validating an item bank to diagnose linguistic problems in the English academic writing of university students in Hong Kong. Test items adopt traditional item formats (e.g., MCQ, grammatical judgment tasks, and error correction) but are based on authentic language materials…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Item Analysis
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Yu, Chong Ho; Douglas, Samantha; Lee, Anna; An, Min – Practical Assessment, Research & Evaluation, 2016
This paper aims to illustrate how data visualization could be utilized to identify errors prior to modeling, using an example with multi-dimensional item response theory (MIRT). MIRT combines item response theory and factor analysis to identify a psychometric model that investigates two or more latent traits. While it may seem convenient to…
Descriptors: Visualization, Item Response Theory, Sample Size, Correlation
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Yang, Zong-kai; Wang, Meng; Cheng, Hercy N. H.; Liu, San-ya; Liu, Lin; Chan, Tak-Wai – Asia-Pacific Education Researcher, 2016
Research indicates that learning from erroneous examples (EE) is superior to correct examples because errors may provide students with a stimulus to spontaneously produce more self-explanations, leading to better learning outcomes. However, because most studies were conducted in individual settings, it remains an open question whether the…
Descriptors: Error Patterns, Models, Cooperative Learning, Elementary School Students
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Choi, Dowon; Hatcher, Ryan C.; Dulong-Langley, Susan; Liu, Xiaochen; Bray, Melissa A.; Courville, Troy; O'Brien, Rebecca; DeBiase, Emily – Journal of Psychoeducational Assessment, 2017
The kinds of errors that children and adolescents make on phonological processing tasks were studied with a large sample between ages 4 and 19 (N = 3,842) who were tested on the Kaufman Test of Educational Achievement-Third Edition (KTEA-3). Principal component analysis identified two phonological processing factors: Basic Phonological Awareness…
Descriptors: Phonology, Language Processing, Error Patterns, Reading Skills
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O'Brien, Rebecca; Pan, Xingyu; Courville, Troy; Bray, Melissa A.; Breaux, Kristina; Avitia, Maria; Choi, Dowon – Journal of Psychoeducational Assessment, 2017
Norm-referenced error analysis is useful for understanding individual differences in students' academic skill development and for identifying areas of skill strength and weakness. The purpose of the present study was to identify underlying connections between error categories across five language and math subtests of the Kaufman Test of…
Descriptors: Factor Analysis, Spelling, Factor Structure, Mathematics Tests
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Hatcher, Ryan C.; Breaux, Kristina C.; Liu, Xiaochen; Bray, Melissa A.; Ottone-Cross, Karen L.; Courville, Troy; Luria, Sarah R.; Langley, Susan Dulong – Journal of Psychoeducational Assessment, 2017
Children's oral language skills typically begin to develop sooner than their written language skills; however, the four language systems (listening, speaking, reading, and writing) then develop concurrently as integrated strands that influence one another. This research explored relationships between students' errors in language comprehension of…
Descriptors: Children, Error Patterns, Listening Comprehension, Reading Comprehension
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Stewart, Christie; Root, Melissa M.; Koriakin, Taylor; Choi, Dowon; Luria, Sarah R.; Bray, Melissa A.; Sassu, Kari; Maykel, Cheryl; O'Rourke, Patricia; Courville, Troy – Journal of Psychoeducational Assessment, 2017
This study investigated developmental gender differences in mathematics achievement, using the child and adolescent portion (ages 6-19 years) of the Kaufman Test of Educational Achievement-Third Edition (KTEA-3). Participants were divided into two age categories: 6 to 11 and 12 to 19. Error categories within the Math Concepts & Applications…
Descriptors: Gender Differences, Error Patterns, Mathematics Tests, Achievement Tests
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