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Showing 1 to 15 of 65 results Save | Export
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Sweeney, Sandra M.; Sinharay, Sandip; Johnson, Matthew S.; Steinhauer, Eric W. – Educational Measurement: Issues and Practice, 2022
The focus of this paper is on the empirical relationship between item difficulty and item discrimination. Two studies--an empirical investigation and a simulation study--were conducted to examine the association between item difficulty and item discrimination under classical test theory and item response theory (IRT), and the effects of the…
Descriptors: Correlation, Item Response Theory, Item Analysis, Difficulty Level
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Stefan Vermeent; Ethan S. Young; Meriah L. DeJoseph; Anna-Lena Schubert; Willem E. Frankenhuis – Developmental Science, 2024
Childhood adversity can lead to cognitive deficits or enhancements, depending on many factors. Though progress has been made, two challenges prevent us from integrating and better understanding these patterns. First, studies commonly use and interpret raw performance differences, such as response times, which conflate different stages of cognitive…
Descriptors: Early Experience, Trauma, Cognitive Processes, Children
Byung-Doh Oh – ProQuest LLC, 2024
Decades of psycholinguistics research have shown that human sentence processing is highly incremental and predictive. This has provided evidence for expectation-based theories of sentence processing, which posit that the processing difficulty of linguistic material is modulated by its probability in context. However, these theories do not make…
Descriptors: Language Processing, Computational Linguistics, Artificial Intelligence, Computer Software
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Janet Spitzig; Blake J. Renner – Journal of College Student Retention: Research, Theory & Practice, 2025
This study aimed to examine the relationship between student engagement and student retention of adult learners at community colleges. The relationship between student retention and the five Community College Survey of Student Engagement (CCSSE) student engagement benchmarks (active and collaborative learning, student effort, academic challenge,…
Descriptors: Academic Persistence, School Holding Power, Community Colleges, Community College Students
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Joshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Journal of Educational and Behavioral Statistics, 2025
Analyzing heterogeneous treatment effects (HTEs) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and preintervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics
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Jones, Natalie D.; Azzam, Tarek; Wanzer, Dana Linnell; Skousen, Darrel; Knight, Ciara; Sabarre, Nina – American Journal of Evaluation, 2020
One of the most widely used communication tools in evaluation is the logic model. Despite its extensive use, there has been little research into the visualization aspect of the logic model. To assess the impact that design modifications would have on its effectiveness, we applied established visualization principles to revise a program model.…
Descriptors: Logical Thinking, Models, Visualization, Accuracy
Joshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Annenberg Institute for School Reform at Brown University, 2024
Analyzing heterogeneous treatment effects (HTE) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and pre-intervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics
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Bednorz, David; Kleine, Michael – International Electronic Journal of Mathematics Education, 2023
The study examines language dimensions of mathematical word problems and the classification of mathematical word problems according to these dimensions with unsupervised machine learning (ML) techniques. Previous research suggests that the language dimensions are important for mathematical word problems because it has an influence on the…
Descriptors: Word Problems (Mathematics), Classification, Mathematics Instruction, Difficulty Level
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Wang, Danni; Hou, Zhi-Jin; Ni, Jing; Tian, Lu; Zhang, Xin; Chi, Hao-Yang; Zhao, Adam – Journal of Career Development, 2020
This study investigated categorization of perfectionism subtypes for Chinese undergraduates and the effects of perfectionism subtypes on career outcomes based on two prominent, competing models of perfectionism, the tripartite model and 2 × 2 model. Indices of career outcome were defined with career adaptability (positive) and career…
Descriptors: Personality Problems, Decision Making, Career Choice, Undergraduate Students
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Gu, Jerry; Andreopoulos, Stavroula; Jenkinson, Jodie; Ng, Derek P. – Biochemistry and Molecular Biology Education, 2020
Enzyme kinetics is the study of enzymatic catalytic rates in biochemical reactions. This topic is commonly taught to life science students in introductory biochemistry courses during their undergraduate education. Unlike most other biochemistry topics, which focus on visual structures of biomolecules and their processes, enzyme kinetics is…
Descriptors: Biochemistry, Science Instruction, Undergraduate Students, Web Based Instruction
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Wang, Xiaolin; Svetina, Dubravka; Dai, Shenghai – Journal of Experimental Education, 2019
Recently, interest in test subscore reporting for diagnosis purposes has been growing rapidly. The two simulation studies here examined factors (sample size, number of subscales, correlation between subscales, and three factors affecting subscore reliability: number of items per subscale, item parameter distribution, and data generating model)…
Descriptors: Value Added Models, Scores, Sample Size, Correlation
Kim, Young-Suk Grace – Grantee Submission, 2020
I propose an integrative theoretical framework for reading and writing acquisition, called the interactive dynamic literacy model, after reviewing theoretical models of reading and writing, and recent efforts in integrating theoretical models within reading and writing, respectively. The central idea of the interactive dynamic literacy model is…
Descriptors: Guidelines, Literacy, Reading Writing Relationship, Models
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Williams, Christopher R.; Cook, Anne E.; O'Brien, Edward J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
The RI-Val model of comprehension includes a validation process in which linkages formed by integration are matched against active memory. In five experiments, we investigated factors that influence validation. Reading times were measured on target sentences that contained either correct information or semantically related, but incorrect content.…
Descriptors: Semantics, Memory, Reading Rate, Sentences
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Mehren, Rainer; Rempfler, Armin; Buchholz, Janine; Hartig, Johannes; Ulrich-Riedhammer, Eva M. – Journal of Research in Science Teaching, 2018
Constituting a metacognitive strategy, system competence or systems thinking can only assume its assigned key function as a basic concept for the school subject of geography in Germany after a theoretical and empirical foundation has been established. A measurement instrument is required which is suitable both for supporting students and for the…
Descriptors: Models, Metacognition, Competence, Geography
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Sibulkin, Amy E.; Butler, J. S. – Teaching of Psychology, 2019
After explicit instruction on how to give possible bidirectional (two-way) causality explanations for a correlation, 240 students from eight sections of social psychology and research methods courses wrote "reverse causality" explanations on various test questions, creating a total of 882 answers. Averaging across multiple graded…
Descriptors: Correlation, Causal Models, Research Methodology, Social Psychology
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