Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 9 |
Descriptor
Growth Models | 9 |
Regression (Statistics) | 9 |
Academic Achievement | 4 |
Scores | 4 |
Bayesian Statistics | 3 |
Comparative Analysis | 3 |
Computation | 3 |
Correlation | 3 |
Hierarchical Linear Modeling | 3 |
Longitudinal Studies | 3 |
Statistical Analysis | 3 |
More ▼ |
Source
Author
Allen, Jeff | 1 |
Beekman, John A. | 1 |
Betebenner, Damian W. | 1 |
Cai, Li | 1 |
Choi, Kilchan | 1 |
Cook, David A. | 1 |
Daniel Seddig | 1 |
David Kaplan | 1 |
Grant, Leslie W. | 1 |
Hill, Jennifer | 1 |
Kim, Jinok | 1 |
More ▼ |
Publication Type
Journal Articles | 8 |
Reports - Research | 5 |
Reports - Descriptive | 3 |
Reports - Evaluative | 1 |
Education Level
Middle Schools | 2 |
Early Childhood Education | 1 |
Elementary Education | 1 |
Grade 10 | 1 |
Grade 11 | 1 |
Grade 3 | 1 |
Grade 5 | 1 |
Grade 9 | 1 |
High Schools | 1 |
Intermediate Grades | 1 |
Junior High Schools | 1 |
More ▼ |
Audience
Location
United States | 1 |
Virginia | 1 |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
Iowa Tests of Basic Skills | 1 |
What Works Clearinghouse Rating
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
Daniel Seddig – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The latent growth model (LGM) is a popular tool in the social and behavioral sciences to study development processes of continuous and discrete outcome variables. A special case are frequency measurements of behaviors or events, such as doctor visits per month or crimes committed per year. Probability distributions for such outcomes include the…
Descriptors: Growth Models, Statistical Analysis, Structural Equation Models, Crime
Reinstein, Ilan; Hill, Jennifer; Cook, David A.; Lineberry, Matthew; Pusic, Martin V. – Advances in Health Sciences Education, 2021
Visual diagnosis of radiographs, histology and electrocardiograms lends itself to deliberate practice, facilitated by large online banks of cases. Which cases to supply to which learners in which order is still to be worked out, with there being considerable potential for adapting the learning. Advances in statistical modeling, based on an…
Descriptors: Clinical Diagnosis, Visual Aids, Difficulty Level, Regression (Statistics)
Choi, Kilchan; Kim, Jinok – Journal of Educational and Behavioral Statistics, 2019
This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Longitudinal Studies, Cohort Analysis
Monroe, Scott; Cai, Li – Educational Measurement: Issues and Practice, 2015
Student growth percentiles (SGPs, Betebenner, 2009) are used to locate a student's current score in a conditional distribution based on the student's past scores. Currently, following Betebenner (2009), quantile regression (QR) is most often used operationally to estimate the SGPs. Alternatively, multidimensional item response theory (MIRT) may…
Descriptors: Item Response Theory, Reliability, Growth Models, Computation
Ober, David R.; Beekman, John A.; Pierce, Rebecca L. – Journal of Education and Training Studies, 2018
This paper examines the graduation rates between 2000 and 2015 of United States colleges and universities at the national, state, and institutional levels. This research focuses on two-year and four-year programs. Rates are investigated longitudinally along with variables that distinguish between public/private institutions, percentages of…
Descriptors: Graduation Rate, Longitudinal Studies, Growth Models, Part Time Students
Xu, Xianxuan; Grant, Leslie W.; Ward, Thomas J. – NASSP Bulletin, 2016
This study examines the validity of a statewide teacher evaluation system in the Commonwealth of Virginia. Three hundred and thirty-eight teachers from 16 at-risk schools located in eight school districts participated in an evaluation system pilot during the 2011-2012 academic year. Teachers received ratings on six teacher effectiveness process…
Descriptors: Teacher Evaluation, Validity, State Programs, Scores
Allen, Jeff – Applied Measurement in Education, 2017
Using a sample of schools testing annually in grades 9-11 with a vertically linked series of assessments, a latent growth curve model is used to model test scores with student intercepts and slopes nested within school. Missed assessments can occur because of student mobility, student dropout, absenteeism, and other reasons. Missing data…
Descriptors: Achievement Gains, Academic Achievement, Growth Models, Scores
Betebenner, Damian W. – National Center for the Improvement of Educational Assessment, 2011
In this report, student growth percentiles and percentile growth projections/trajectories are introduced as a means of understanding student growth in both normative and a criterion referenced ways. With these values calculated, the author shows how growth data can be utilized in both a norm- and in a criterion-referenced manner to inform…
Descriptors: Academic Achievement, Growth Models, Data Analysis, Information Utilization