Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 6 |
Descriptor
Growth Models | 6 |
Preschool Children | 2 |
Structural Equation Models | 2 |
Academic Standards | 1 |
Accuracy | 1 |
Achievement Gains | 1 |
Achievement Gap | 1 |
Achievement Tests | 1 |
Bayesian Statistics | 1 |
Classification | 1 |
Correlation | 1 |
More ▼ |
Source
Educational Measurement:… | 1 |
International Journal of… | 1 |
Journal of Research on… | 1 |
Journal of School… | 1 |
Measurement:… | 1 |
Structural Equation Modeling:… | 1 |
Author
Cornelisz, Ilja | 1 |
Daly, Alan | 1 |
Daniel Murphy | 1 |
David Kaplan | 1 |
Gonzales, Joseph E. | 1 |
Kjorte Harra | 1 |
Kuhfeld, Megan | 1 |
Lang, Chad | 1 |
Matthew Brunetti | 1 |
Quintin Love | 1 |
Sarah Quesen | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Evaluative | 6 |
Education Level
Early Childhood Education | 1 |
Elementary Education | 1 |
Elementary Secondary Education | 1 |
Junior High Schools | 1 |
Kindergarten | 1 |
Middle Schools | 1 |
Primary Education | 1 |
Secondary Education | 1 |
Audience
Policymakers | 1 |
Practitioners | 1 |
Researchers | 1 |
Location
California | 1 |
Indiana | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Measures of Academic Progress | 1 |
What Works Clearinghouse Rating
Daniel Murphy; Sarah Quesen; Matthew Brunetti; Quintin Love – Educational Measurement: Issues and Practice, 2024
Categorical growth models describe examinee growth in terms of performance-level category transitions, which implies that some percentage of examinees will be misclassified. This paper introduces a new procedure for estimating the classification accuracy of categorical growth models, based on Rudner's classification accuracy index for item…
Descriptors: Classification, Growth Models, Accuracy, Performance Based Assessment
Kjorte Harra; David Kaplan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The present work focuses on the performance of two types of shrinkage priors--the horseshoe prior and the recently developed regularized horseshoe prior--in the context of inducing sparsity in path analysis and growth curve models. Prior research has shown that these horseshoe priors induce sparsity by at least as much as the "gold…
Descriptors: Structural Equation Models, Bayesian Statistics, Regression (Statistics), Statistical Inference
Gonzales, Joseph E. – Measurement: Interdisciplinary Research and Perspectives, 2021
JMP® Pro has introduced a new structural equation modeling (SEM) platform to its suite of multivariate methods of analysis. Utilizing their graphical user interface, JMP Pro has created a SEM platform that is easily navigable for both experienced and novice SEM users. As a new platform, JMP Pro does not have the capacity to implement certain…
Descriptors: Structural Equation Models, Multivariate Analysis, Usability, Factor Analysis
Lang, Chad; Townsley, Matt – Journal of School Administration Research and Development, 2021
Teachers and school leaders frequently express a disconnect in the purpose and importance of teacher evaluation, particularly as it relates to educator growth. At the same time, some schools are beginning to communicate student growth through a standards-based grading philosophy. One way schools might "walk the talk" of their grading…
Descriptors: Teacher Evaluation, Academic Standards, Grading, Educational Change
Kuhfeld, Megan; Soland, James – Journal of Research on Educational Effectiveness, 2021
Important educational policy decisions, like whether to shorten or extend the school year, often require accurate estimates of how much students learn during the year. Yet, related research relies on a mostly untested assumption: that growth in achievement is linear throughout the entire school year. We examine this assumption using a dataset…
Descriptors: Growth Models, Reading Achievement, Mathematics Achievement, Achievement Gains
van Halem, Nicolette; Cornelisz, Ilja; Daly, Alan; van Klaveren, Chris – International Journal of Research & Method in Education, 2023
In educational contexts where many domains subject to improvement are interdependent and causal evidence is frequently lacking it is difficult, if not impossible, for policymakers and educational practitioners to decide which domain should be invested in. This paper proposes a new method that uses Conditional Mean Independent Correlations (CMIC)…
Descriptors: Educational Improvement, Evaluation Methods, Decision Making, Growth Models