NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1 to 15 of 352 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Emma Somer; Carl Falk; Milica Miocevic – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Factor Score Regression (FSR) is increasingly employed as an alternative to structural equation modeling (SEM) in small samples. Despite its popularity in psychology, the performance of FSR in multigroup models with small samples remains relatively unknown. The goal of this study was to examine the performance of FSR, namely Croon's correction and…
Descriptors: Scores, Structural Equation Models, Comparative Analysis, Sample Size
Peer reviewed Peer reviewed
Direct linkDirect link
Lin, Jian-Wei; Koong Lin, Hao-Chiang; Chen, Hong-Ren – IEEE Transactions on Learning Technologies, 2022
Conventional e-learning platforms require a high self-regulatory learning (SRL) ability to ensure learning effectiveness. However, because not everyone has high autonomy and a high SRL ability, many students quit during the online learning period. To enhance the SRL ability, many studies have developed e-learning platforms based on Zimmerman's SRL…
Descriptors: Metacognition, Role Models, Learning Strategies, Personal Autonomy
Peer reviewed Peer reviewed
Direct linkDirect link
Baumgartner, Michael; Ambühl, Mathias – Sociological Methods & Research, 2023
Consistency and coverage are two core parameters of model fit used by configurational comparative methods (CCMs) of causal inference. Among causal models that perform equally well in other respects (e.g., robustness or compliance with background theories), those with higher consistency and coverage are typically considered preferable. Finding the…
Descriptors: Causal Models, Evaluation Methods, Goodness of Fit, Scores
Peer reviewed Peer reviewed
Direct linkDirect link
Gyamfi, Abraham; Acquaye, Rosemary – Acta Educationis Generalis, 2023
Introduction: Item response theory (IRT) has received much attention in validation of assessment instrument because it allows the estimation of students' ability from any set of the items. Item response theory allows the difficulty and discrimination levels of each item on the test to be estimated. In the framework of IRT, item characteristics are…
Descriptors: Item Response Theory, Models, Test Items, Difficulty Level
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Teguh Yuliandri Putra; Vismaia S. Damaianti; Yeti Mulyati; Andoyo Sastromihardjo; Suhartini Sumadi – International Journal of Language Education, 2024
This research aims to determine the effect of the independent learning model assisted by plasticine media as a way to improve students' abilities in basic reading and writing so that it has an impact on elementary school students' phonemic awareness. The method used in this research is an experimental method with a comparison design of one group…
Descriptors: Literacy Education, Alphabets, Scores, Independent Study
Peer reviewed Peer reviewed
Direct linkDirect link
Markus T. Jansen; Ralf Schulze – Educational and Psychological Measurement, 2024
Thurstonian forced-choice modeling is considered to be a powerful new tool to estimate item and person parameters while simultaneously testing the model fit. This assessment approach is associated with the aim of reducing faking and other response tendencies that plague traditional self-report trait assessments. As a result of major recent…
Descriptors: Factor Analysis, Models, Item Analysis, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Hyemin Yoon; HyunJin Kim; Sangjin Kim – Measurement: Interdisciplinary Research and Perspectives, 2024
We have maintained the customer grade system that is being implemented to customers with excellent performance through customer segmentation for years. Currently, financial institutions that operate the customer grade system provide similar services based on the score calculation criteria, but the score calculation criteria vary from the financial…
Descriptors: Classification, Artificial Intelligence, Prediction, Decision Making
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Afsharrad, Mohammad; Pishghadam, Reza; Baghaei, Purya – International Journal of Language Testing, 2023
Testing organizations are faced with increasing demand to provide subscores in addition to the total test score. However, psychometricians argue that most subscores do not have added value to be worth reporting. To have added value, subscores need to meet a number of criteria: they should be reliable, distinctive, and distinct from each other and…
Descriptors: Comparative Analysis, Scores, Value Added Models, Psychometrics
Peer reviewed Peer reviewed
Direct linkDirect link
Sosa, Ricardo; van Dijck, Max – Creativity Research Journal, 2022
The distinction between "Big-C" and "little-c" creativity implies that the generative process of celebrated creators is of a special type or degree. Arguments for and against such a hierarchy of creativity are found in the literature, primarily built on rhetorical argumentation. The aim of this work is to examine the rationale…
Descriptors: Creativity, Computer Simulation, Models, Social Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Song, Yoon Ah; Lee, Won-Chan – Applied Measurement in Education, 2022
This article presents the performance of item response theory (IRT) models when double ratings are used as item scores over single ratings when rater effects are present. Study 1 examined the influence of the number of ratings on the accuracy of proficiency estimation in the generalized partial credit model (GPCM). Study 2 compared the accuracy of…
Descriptors: Item Response Theory, Item Analysis, Scores, Accuracy
Peer reviewed Peer reviewed
Direct linkDirect link
Anam Aslam; Sagheer Ahamd; Hans-Stefan Siller; Abida Nasreen – Asia-Pacific Science Education, 2024
Science education is crucial for fostering knowledge across academic disciplines. Past efforts to enhance science achievement at the elementary level have explored various instructional strategies. Among these, the Understanding by Design (UbD) model has shown notable potential in improving science achievement outcomes compared to traditional…
Descriptors: Science Achievement, Science Instruction, Grade 5, Elementary School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Leventhal, Brian C.; Zigler, Christina K. – Measurement: Interdisciplinary Research and Perspectives, 2023
Survey score interpretations are often plagued by sources of construct-irrelevant variation, such as response styles. In this study, we propose the use of an IRTree Model to account for response styles by making use of self-report items and anchoring vignettes. Specifically, we investigate how the IRTree approach with anchoring vignettes compares…
Descriptors: Scores, Vignettes, Response Style (Tests), Item Response Theory
Peer reviewed Peer reviewed
Direct linkDirect link
Hsiao, Yu-Yu; Kwok, Oi-Man; Lai, Mark H. C. – Educational and Psychological Measurement, 2018
Path models with observed composites based on multiple items (e.g., mean or sum score of the items) are commonly used to test interaction effects. Under this practice, researchers generally assume that the observed composites are measured without errors. In this study, we reviewed and evaluated two alternative methods within the structural…
Descriptors: Error of Measurement, Testing, Scores, Models
Rachel L. Schechter; Maddie Lee Mason; Laura Janakiefski – Online Submission, 2024
The ongoing literacy crisis in the U.S. highlights an urgent need for effective, scalable literacy instruction. REED Charitable Foundation (RCF) is a non-profit organization that provides structured literacy training informed by Orton-Gillingham, along with ongoing professional coaching and comprehensive implementation support to help all students…
Descriptors: Literacy Education, Reading Instruction, Reading Achievement, Achievement Gains
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  24