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Mary Girgis; Josephine Paparo; Ian Kneebone – Journal of Intellectual & Developmental Disability, 2025
Background: Compared to their typically developing peers, children and adolescents with intellectual disabilities are at an increased risk of developing emotion regulation difficulties, this is especially the case for autistic individuals with intellectual disabilities. To better understand the emotion regulation experiences of children and…
Descriptors: Children, Adolescents, Intellectual Disability, Emotional Response
Markus Gangl – Sociological Methods & Research, 2025
Rating scales are ubiquitous in the social sciences, yet may present practical difficulties when response formats change over time or vary across surveys. To allow researchers to pool rating data across alternative question formats, the article provides a generalization of the ordered logit model that accommodates multiple scale formats in the…
Descriptors: Rating Scales, Surveys, Responses, Models
Carranza Rogerio, Brenda; Yan, Yu; Cooper, Eric Wallace – International Journal of Technology in Education, 2023
The growing integration of technology into education, particularly in the STEM fields, has tended to focus on its objective advantages, ignoring its affective potential. To explore this potential, based on some principles of "Kansei/Affective Engineering," an initial analysis was conducted considering 501 interventions in a conversation…
Descriptors: Affective Behavior, Feedback (Response), STEM Education, Electronic Learning
Moira McDonald; Michael-Anne Noble; Brigitte Harris; Valeria Cortés; Ken Jeffery – Papers on Postsecondary Learning and Teaching, 2024
Educators within post-secondary institutions receive input in the form of course evaluations from their students. The aim of receiving student input is to improve the teaching and learning experience for all. There are, however, inherent problems with the current methods of obtaining students' views through course evaluations. In this pilot study,…
Descriptors: Equal Education, Feedback (Response), Learning Experience, Postsecondary Education
Javed Iqbal; Tanweer Ul Islam – Educational Research and Evaluation, 2024
Economic efficiency demands accurate assessment of individual ability for selection purposes. This study investigates Classical Test Theory (CTT) and Item Response Theory (IRT) for estimating true ability and ranking individuals. Two Monte Carlo simulations and real data analyses were conducted. Results suggest a slight advantage for IRT, but…
Descriptors: Item Response Theory, Monte Carlo Methods, Ability, Statistical Analysis
Phillip Dawson; Zi Yan; Anastasiya Lipnevich; Joanna Tai; David Boud; Paige Mahoney – Assessment & Evaluation in Higher Education, 2024
Feedback can be powerful, but its effects are dependent on what students do. There has been intensive research in recent years under the banner of 'feedback literacy' to understand how to help students make the most of feedback. Although there are instruments to measure feedback literacy, they largely measure perceptions and orientations rather…
Descriptors: Feedback (Response), Multiple Literacies, Measures (Individuals), Validity
Ryan, Tracii; Henderson, Michael; Ryan, Kris; Kennedy, Gregor – Teaching in Higher Education, 2023
Due to recent conceptual shifts towards learner-centred feedback, there is a potential gap between research and practice. Indeed, few models or studies have sought to identify or evaluate which semantic messages, or feedback components, teachers should include in learner-centred feedback comments. Instead, teacher practices are likely to be…
Descriptors: Feedback (Response), Taxonomy, Validity, College Faculty
Jin, Kuan-Yu; Wu, Yi-Jhen; Chen, Hui-Fang – Journal of Educational and Behavioral Statistics, 2022
For surveys of complex issues that entail multiple steps, multiple reference points, and nongradient attributes (e.g., social inequality), this study proposes a new multiprocess model that integrates ideal-point and dominance approaches into a treelike structure (IDtree). In the IDtree, an ideal-point approach describes an individual's attitude…
Descriptors: Likert Scales, Item Response Theory, Surveys, Responses
Saskia Riedelbauch; Sebastian B. Gaigg; Tobias Thiel; Veit Roessner; Melanie Ring – Autism: The International Journal of Research and Practice, 2024
Anxiety disorders commonly occur in autism. Existing studies implicate intolerance of uncertainty, alexithymia, sensory processing differences and emotion regulation difficulties as influencing factors of anxiety in autism. To date, a few studies have considered the combination of these factors within the same sample. This study used structural…
Descriptors: Anxiety Disorders, Autism Spectrum Disorders, Adults, Symptoms (Individual Disorders)
Maria Bolsinova; Jesper Tijmstra; Leslie Rutkowski; David Rutkowski – Journal of Educational and Behavioral Statistics, 2024
Profile analysis is one of the main tools for studying whether differential item functioning can be related to specific features of test items. While relevant, profile analysis in its current form has two restrictions that limit its usefulness in practice: It assumes that all test items have equal discrimination parameters, and it does not test…
Descriptors: Test Items, Item Analysis, Generalizability Theory, Achievement Tests
von Davier, Matthias; Tyack, Lillian; Khorramdel, Lale – Educational and Psychological Measurement, 2023
Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…
Descriptors: Scoring, Networks, Artificial Intelligence, Elementary Secondary Education
Ulitzsch, Esther; Domingue, Benjamin W.; Kapoor, Radhika; Kanopka, Klint; Rios, Joseph A. – Educational Measurement: Issues and Practice, 2023
Common response-time-based approaches for non-effortful response behavior (NRB) in educational achievement tests filter responses that are associated with response times below some threshold. These approaches are, however, limited in that they require a binary decision on whether a response is classified as stemming from NRB; thus ignoring…
Descriptors: Reaction Time, Responses, Behavior, Achievement Tests
Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
Kristensen, Sara Madeleine; Danielsen, Anne G.; Urke, Helga Bjørnøy; Larsen, Torill B.; Aanes, Mette Marthinussen – Educational Psychology, 2023
This study investigates the associations between students' developmental changes in academic self-efficacy, academic initiative, and grade point average (GPA) during a three-year upper secondary education. The sample consisted of 1453 students aged 16-19 (60.6% girls; baseline mean age = 17.00, SD = 0.91; 56.1% high perceived family wealth; and…
Descriptors: Feedback (Response), Student Development, Self Efficacy, Student Motivation
Aizpurua, Eva; Bottoni, Gianmaria; Fitzgerald, Rory – Field Methods, 2023
Despite the widespread use of examples in survey questions, very few studies have examined their impact on survey responses, and the evidence is mainly based on data collected in the United States using questionnaires in English. This study builds on previous research by examining the effects of providing examples using data from a cross-national…
Descriptors: Foreign Countries, Surveys, Response Rates (Questionnaires), Test Items