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Lu Wang; Kristen D. Gulish; Alisha R. Pollastri – School Mental Health, 2024
In this mixed-methods experiment, we examined the impacts of an externally provided rationale and teachers' own beliefs on cognitive, emotional, and behavioral responses to student misbehavior. Teachers (N = 120) viewed a video describing three instances of a student's misbehavior, then were randomly assigned to receive one of three explanatory…
Descriptors: Teacher Attitudes, Teacher Behavior, Responses, Student Behavior
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Susanne Schwab; Stefan Markus; Sepideh Hassani – Educational Studies, 2024
This study investigates the role of teachers' feedback on achievement and behaviour in influencing students' peer acceptance, academic trait emotions as well as school well-being. Data derives from 970 fourth graders from inclusive primary schools (51% male, 49% female; 8% with special educational needs). Results showed that students perceive an…
Descriptors: Foreign Countries, Grade 4, Feedback (Response), Teacher Response
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Viola Merhof; Caroline M. Böhm; Thorsten Meiser – Educational and Psychological Measurement, 2024
Item response tree (IRTree) models are a flexible framework to control self-reported trait measurements for response styles. To this end, IRTree models decompose the responses to rating items into sub-decisions, which are assumed to be made on the basis of either the trait being measured or a response style, whereby the effects of such person…
Descriptors: Item Response Theory, Test Interpretation, Test Reliability, Test Validity
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Wim J. van der Linden; Luping Niu; Seung W. Choi – Journal of Educational and Behavioral Statistics, 2024
A test battery with two different levels of adaptation is presented: a within-subtest level for the selection of the items in the subtests and a between-subtest level to move from one subtest to the next. The battery runs on a two-level model consisting of a regular response model for each of the subtests extended with a second level for the joint…
Descriptors: Adaptive Testing, Test Construction, Test Format, Test Reliability
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Jianbin Fu; Xuan Tan; Patrick C. Kyllonen – Applied Measurement in Education, 2024
A process is proposed to create the one-dimensional expected item characteristic curve (ICC) and test characteristic curve (TCC) for each trait in multidimensional forced-choice questionnaires based on the Rank-2PL (two-parameter logistic) item response theory models for forced-choice items with two or three statements. Some examples of ICC and…
Descriptors: Item Response Theory, Questionnaires, Measurement Techniques, Statistics
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Jeewon Jeon; Daeun Park – Developmental Science, 2024
Persistence is a critical factor that significantly predicts life outcomes. Although individual differences in persistence emerge early in life, the knowledge of effective strategies for cultivating persistence in young children remains limited. Based on these two studies, we suggest that emotional validation, defined as the acceptance of emotions…
Descriptors: Preschool Children, Psychological Patterns, Persistence, Feedback (Response)
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Stefanie A. Wind; Benjamin Lugu; Yurou Wang – International Journal of Testing, 2025
Mokken Scale Analysis (MSA) is a nonparametric approach that offers exploratory tools for understanding the nature of item responses while emphasizing invariance requirements. MSA is often discussed as it relates to Rasch measurement theory, which also emphasizes invariance, but uses parametric models. Researchers who have compared and combined…
Descriptors: Item Response Theory, Scaling, Surveys, Evaluation Methods
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Nicora Placa – Journal of Mathematics Teacher Education, 2025
Eliciting and attending to students' thinking is an important component of teaching mathematics for understanding. Clinical interview protocols have shown the potential to support teachers in developing these skills. However, less is known about how to support teacher leaders' knowledge and development of these skills. Given that teacher leaders…
Descriptors: Mathematics Education, Thinking Skills, Listening, Responses
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Nora McCarthy; Karen Neville; Andrew Pope – Discover Education, 2025
The terms 'feedback' and 'formative assessment' are ubiquitous in education, but their conceptual boundaries are ill-defined. This perspective piece explores the meaning of 'feedback' and 'formative assessment', revealing the entanglement and confusion that exists between these two terms. An argument for clarity of terms is made, to avoid…
Descriptors: Feedback (Response), Formative Evaluation, Definitions, Language Usage
NASPA - Student Affairs Administrators in Higher Education, 2025
This survey is designed to assess your institution's efforts to prevent and respond to campus sexual violence. It covers practices and policies mandated by federal law as well as those recommended by experts in the field. Questions are organized around the six pillars of the Culture of Respect CORE Blueprint. Survey questions are included to…
Descriptors: Sexual Abuse, Violence, Federal Legislation, School Surveys
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Xiaomeng Huang; Xavier Ochoa – Journal of Learning Analytics, 2025
Collaboration skills are fundamental to effective collaborative learning, career success, and responsible citizenship. Collaborative learning analytics (CLA) systems hold significant potential in helping students develop these skills by automatically collecting group interaction data, analyzing skill levels, and providing actionable feedback so…
Descriptors: Learning Analytics, Cooperative Learning, Cooperation, Skill Development
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Bharuthram, S.; van Heerden, M. – Innovations in Education and Teaching International, 2023
While the peer feedback process has an important role to play in student learning and has many benefits, it is not without its challenges. One of these is the effect that emotions may have on the way that students engage with the feedback. Yet, the specific emotions experienced during peer feedback is relatively under-explored. Therefore, this…
Descriptors: Undergraduate Students, Peer Evaluation, Feedback (Response), Emotional Response
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Effatpanah, Farshad; Baghaei, Purya – Practical Assessment, Research & Evaluation, 2023
Item response theory (IRT) refers to a family of mathematical models which describe the relationship between latent continuous variables (attributes or characteristics) and their manifestations (dichotomous/polytomous observed outcomes or responses) with regard to a set of item characteristics. Researchers typically use parametric IRT (PIRT)…
Descriptors: Item Response Theory, Feedback (Response), Mathematical Models, Item Analysis
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Wan, Siyu; Keller, Lisa A. – Practical Assessment, Research & Evaluation, 2023
Statistical process control (SPC) charts have been widely used in the field of educational measurement. The cumulative sum (CUSUM) is an established SPC method to detect aberrant responses for educational assessments. There are many studies that investigated the performance of CUSUM in different test settings. This paper describes the CUSUM…
Descriptors: Visual Aids, Educational Assessment, Evaluation Methods, Item Response Theory
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Zou, Tongtong; Bolt, Daniel M. – Measurement: Interdisciplinary Research and Perspectives, 2023
Person misfit and person reliability indices in item response theory (IRT) can play an important role in evaluating the validity of a test or survey instrument at the respondent level. Prior empirical comparisons of these indices have been applied to binary item response data and suggest that the two types of indices return very similar results.…
Descriptors: Item Response Theory, Rating Scales, Response Style (Tests), Measurement
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