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Direct linkJean-Paul Fox – Journal of Educational and Behavioral Statistics, 2025
Popular item response theory (IRT) models are considered complex, mainly due to the inclusion of a random factor variable (latent variable). The random factor variable represents the incidental parameter problem since the number of parameters increases when including data of new persons. Therefore, IRT models require a specific estimation method…
Descriptors: Sample Size, Item Response Theory, Accuracy, Bayesian Statistics
Garman, Andrew N.; Erwin, Taylor S.; Garman, Tyler R.; Kim, Dae Hyun – Journal of Competency-Based Education, 2021
Background: Competency models provide useful frameworks for organizing learning and assessment programs, but their construction is both time intensive and subject to perceptual biases. Some aspects of model development may be particularly well-suited to automation, specifically natural language processing (NLP), which could also help make them…
Descriptors: Natural Language Processing, Automation, Guidelines, Leadership Effectiveness
Rosenberg, Joshua M.; Krist, Christina – Journal of Science Education and Technology, 2021
Assessing students' participation in science practices presents several challenges, especially when aiming to differentiate meaningful (vs. rote) forms of participation. In this study, we sought to use machine learning (ML) for a novel purpose in science assessment: developing a construct map for students' "consideration of generality,"…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Models
Yesiltas, Gonca; Paek, Insu – Educational and Psychological Measurement, 2020
A log-linear model (LLM) is a well-known statistical method to examine the relationship among categorical variables. This study investigated the performance of LLM in detecting differential item functioning (DIF) for polytomously scored items via simulations where various sample sizes, ability mean differences (impact), and DIF types were…
Descriptors: Simulation, Sample Size, Item Analysis, Scores
Download full textPahome, Daniela – Romanian Review of Geographical Education, 2022
Cinquain is a poetic form, or stanza, of five lines that do not rhyme, which follows some strict rules. Cinquain is also considered to be a training means, a method, a technique, an instrument used for reflection, for synthesis of all knowledge on a particular topic (a being, an object, an ensemble of objects), towards developing one's creativity.…
Descriptors: Poetry, Literary Genres, Reflection, Creativity
Leventhal, Brian – ProQuest LLC, 2017
More robust and rigorous psychometric models, such as multidimensional Item Response Theory models, have been advocated for survey applications. However, item responses may be influenced by construct-irrelevant variance factors such as preferences for extreme response options. Through empirical and simulation methods, this study evaluates the use…
Descriptors: Psychometrics, Item Response Theory, Simulation, Models
Kol, Sheli; Nir, Bracha; Wintner, Shuly – Journal of Child Language, 2014
Several models of language acquisition have emerged in recent years that rely on computational algorithms for simulation and evaluation. Computational models are formal and precise, and can thus provide mathematically well-motivated insights into the process of language acquisition. Such models are amenable to robust computational evaluation,…
Descriptors: Language Acquisition, Models, Computational Linguistics, Evaluation Methods
Perea, Manuel; Moret-Tatay, Carmen; Panadero, Victoria – Journal of Memory and Language, 2011
Readers of the Roman script must "unlearn" some forms of mirror generalization when processing printed stimuli (i.e., herb and herd are different words). Here we examine whether the suppression of mirror generalization is a process that affects all letters or whether it mostly affects reversible letters (i.e., b/d). Three masked priming lexical…
Descriptors: Priming, Evidence, Word Recognition, Generalization
McGair, Charles D. – ProQuest LLC, 2012
Many theories, methods, and practices are utilized to evaluate teachers with the intention of determining teacher effectiveness to better inform decisions about retention, tenure, certification and performance-based pay. In the 21st century there has been a renewed emphasis on teacher evaluation in public schools, largely due to federal "Race…
Descriptors: Teacher Effectiveness, Models, Standards, Teacher Evaluation
Lafond, Daniel; Lacouture, Yves; Cohen, Andrew L. – Psychological Review, 2009
The authors present 3 decision-tree models of categorization adapted from T. Trabasso, H. Rollins, and E. Shaughnessy (1971) and use them to provide a quantitative account of categorization response times, choice proportions, and typicality judgments at the individual-participant level. In Experiment 1, the decision-tree models were fit to…
Descriptors: Reaction Time, Classification, Models, Statistical Analysis
Charlop, Marjorie H.; Gilmore, Laura; Chang, Gina T. – Journal of Special Education Technology, 2009
The present study assessed the effects of video modeling on acquisition and generalization of variation in the conversational speech of two boys with autism. A video was made showing several versions of several topics of conversation, thus providing multiple exemplars of each conversation. Video modeling consisted of showing each child a video…
Descriptors: Play, Autism, Generalization, Video Technology
Rupp, Andre A.; Gushta, Matthew; Mislevy, Robert J.; Shaffer, David Williamson – Journal of Technology, Learning, and Assessment, 2010
We are currently at an exciting juncture in developing effective means for assessing so-called 21st-century skills in an innovative yet reliable fashion. One of these avenues leads through the world of "epistemic games" (Shaffer, 2006a), which are games designed to give learners the rich experience of professional practica within a discipline.…
Descriptors: Research Methodology, Educational Research, Evaluation Methods, Educational Games
Ahn, Woo-Young; Busemeyer, Jerome R.; Wagenmakers, Eric-Jan; Stout, Julie C. – Cognitive Science, 2008
It is a hallmark of a good model to make accurate "a priori" predictions to new conditions (Busemeyer & Wang, 2000). This study compared 8 decision learning models with respect to their generalizability. Participants performed 2 tasks (the Iowa Gambling Task and the Soochow Gambling Task), and each model made a priori predictions by estimating the…
Descriptors: Prediction, Generalization, Models, Comparative Analysis
Shiffrin, Richard M.; Lee, Michael D.; Kim, Woojae; Wagenmakers, Eric-Jan – Cognitive Science, 2008
This article reviews current methods for evaluating models in the cognitive sciences, including theoretically based approaches, such as Bayes factors and minimum description length measures; simulation approaches, including model mimicry evaluations; and practical approaches, such as validation and generalization measures. This article argues…
Descriptors: Bayesian Statistics, Generalization, Sciences, Models
Ivanova, Masha Y.; Achenbach, Thomas M.; Rescorla, Leslie A.; Dumenci, Levent; Almqvist, Fredrik; Bilenberg, Niels; Bird, Hector; Broberg, Anders G.; Dobrean, Anca; Dopfner, Manfred; Erol, Nese; Forns, Maria; Hannesdottir, Helga; Kanbayashi, Yasuko; Lambert, Michael C.; Leung, Patrick; Minaei, Asghar; Mulatu, Mesfin S.; Novik, Torunn; Oh, Kyung Ja; Roussos, Alexandra; Sawyer, Michael; Simsek, Zeynep; Steinhausen, Hans- Christoph; Weintraub, Sheila; Winkler Metzke, Christa; Wolanczyk, Tomasz; Zilber, Nelly; Zukauskiene, Rita; Verhulst, Frank C. – Journal of Consulting and Clinical Psychology, 2007
As a basis for theories of psychopathology, clinical psychology and related disciplines need sound taxonomies that are generalizable across diverse populations. To test the generalizability of a statistically derived 8-syndrome taxonomic model for youth psychopathology, confirmatory factor analyses (CFAs) were performed on the Youth Self-Report…
Descriptors: Psychopathology, Child Behavior, Check Lists, Age
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