Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Publication
- Publication Type
Articles 1 - 6 of 6
Full-Text Articles in Education
Investigating The Fit Of The Generalized Graded Unfolding Model (Ggum) When Calibrated To Irt Generated Data From Dominance And Ideal Point Models, Abdulla Alzarouni
Investigating The Fit Of The Generalized Graded Unfolding Model (Ggum) When Calibrated To Irt Generated Data From Dominance And Ideal Point Models, Abdulla Alzarouni
College of Education and Human Sciences: Dissertations, Theses, and Student Research
The assessment of model fit in latent trait modelling, better known as item response theory (IRT), is an integral part of model testing if one is to make valid inferences about the estimated parameters and their properties based on the selected IRT model. Though important, the assessment of model fit has been less utilized in IRT research than it should. For example, there have been less research investigating fit for polytomous dominance models such the Graded Response Model (GRM), and to a lesser extent ideal point models such as the Generalized Graded Unfolding Models (GGUM), both in its dichotomous and …
Context And Regulation Of Homeschooling: Issues, Evidence, And Assessment Practices, Janet F. Carlson
Context And Regulation Of Homeschooling: Issues, Evidence, And Assessment Practices, Janet F. Carlson
Buros Center: Professional Staff Publications
The article discusses salient factors that influence the current context within which homeschooling occurs. Individual states have applied various approaches to establish regulations that both preserve the rights of homeschooling parents and fulfill the state’s obligation to ensure that its residents receive the education to which they are constitutionally entitled. Case and ethnographic studies or research involving small and selected samples often appear in outlets associated with homeschool advocacy groups or in outlets that are not mainstream. The paucity of empirical evidence derived from methodologically strong research paradigms has led to little certainty about many aspects of homeschooling including its …
Predictive Relationship Between Anger And Violence In Canadian Secondary Students, Lawrence Alfred Deck
Predictive Relationship Between Anger And Violence In Canadian Secondary Students, Lawrence Alfred Deck
Walden Dissertations and Doctoral Studies
Violence among Canadian secondary students remains a concern for administrators, teachers, community members, and students. The purpose of this retrospective quantitative nonexperimental study was to examine the predictive relationship between anger and violence among secondary students in Canada using the Anger Regulation and Expression Scale (ARES). The general aggression model provided the framework for the study. Survey data were collected from 138 students using the ARES. Demographic data and archival data from students' school files were also collected. Results of receiver operator characteristic analysis and binary logistic regression indicated that the ARES total score provided fair to good predictive ability …
Measuring The Outliers: An Introduction To Out-Of-Level Testing With High-Achieving Students, Karen Rambo-Hernandez, Russell Warne
Measuring The Outliers: An Introduction To Out-Of-Level Testing With High-Achieving Students, Karen Rambo-Hernandez, Russell Warne
Russell T Warne
Out-of-level testing is an underused strategy for addressing the needs of students who score in the extremes, and when used wisely, it could provide educators with a much more accurate picture of what students know. Out-of-level testing has been shown to be an effective assessment strategy with high-achieving students; however, out-of-level testing has not been shown to work well with low-achieving students. This article provides a brief history of out-of-level testing, along with guidelines for using it.
Predicting High-Stakes Tests Of Math Achievement Using A Group-Administered Rti Instrument: Validating Skills Measured By The Monitoring Instructional Responsiveness: Math, Jeremy Thomas Coles
Predicting High-Stakes Tests Of Math Achievement Using A Group-Administered Rti Instrument: Validating Skills Measured By The Monitoring Instructional Responsiveness: Math, Jeremy Thomas Coles
Doctoral Dissertations
Three universal screeners and nine progress monitoring probes from the Monitoring Instructional Responsiveness: Math (MIR:M), a silent, group-administered math assessment designed for implementation with an RTI Model, were administered to 223 fifth-grade students. The growth parameters of the overall MIR:M composite and two global composites (math calculation and math reasoning) identified significant variation in student growth, within significant linear and quadratic trajectories. However, there were significant differences in the nature of the growth trajectories that have applied educational implications. In addition, growth parameters across the three composites provided significant predictive potential when using the Tennessee Comprehensive Assessment Program (TCAP) Achievement …
Improving Irt Parameter Estimates With Small Sample Sizes: Evaluating The Efficacy Of A New Data Augmentation Technique, Brett P. Foley
Improving Irt Parameter Estimates With Small Sample Sizes: Evaluating The Efficacy Of A New Data Augmentation Technique, Brett P. Foley
College of Education and Human Sciences: Dissertations, Theses, and Student Research
The 3PL model is a flexible and widely used tool in assessment. However, it suffers from limitations due to its need for large sample sizes. This study introduces and evaluates the efficacy of a new sample size augmentation technique called Duplicate, Erase, and Replace (DupER) Augmentation through a simulation study. Data are augmented using several variations of DupER Augmentation (based on different imputation methodologies, deletion rates, and duplication rates), analyzed in BILOG-MG 3, and results are compared to those obtained from analyzing the raw data. Additional manipulated variables include test length and sample size. Estimates are compared using seven different …