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Tihomir Asparouhov; Bengt Muthén – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Penalized structural equation models (PSEM) is a new powerful estimation technique that can be used to tackle a variety of difficult structural estimation problems that can not be handled with previously developed methods. In this paper we describe the PSEM framework and illustrate the quality of the method with simulation studies.…
Descriptors: Structural Equation Models, Computation, Factor Analysis, Measurement Techniques
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Tomek, Sara; Robinson, Cecil – Measurement: Interdisciplinary Research and Perspectives, 2021
Typical longitudinal growth models assume constant functional growth over time. However, there are often conditions where trajectories may not be constant over time. For example, trajectories of psychological behaviors may vary based on a participant's age, or conversely, participants may experience an intervention that causes trajectories to…
Descriptors: Growth Models, Statistical Analysis, Hierarchical Linear Modeling, Computation
Meyer, J. Patrick; Dahlin, Michael – NWEA, 2022
The MAP® Growth™ theory of action describes key features of MAP Growth and its position in a comprehensive assessment system. The basic premise of the theory of action is that all students learn when MAP Growth is situated in a comprehensive assessment system and used for its intended purposes to yield information about student learning and enable…
Descriptors: Achievement Tests, Academic Achievement, Achievement Gains, Student Evaluation
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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)
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Heck, Ronald H.; Reid, Tingting; Leckie, George – School Effectiveness and School Improvement, 2022
Increasing pupil mobility has led to widespread concern among parents, educators, and policymakers regarding its negative effects on academic performance. An important issue in examining mobility effects in longitudinal school achievement comparisons is providing accurate estimates. The presence of pupil mobility suggests that we should model…
Descriptors: Student Mobility, Mathematics Achievement, Growth Models, Educational Improvement
Colorado Department of Education, 2019
The Colorado Growth Model (CGM) was developed jointly by the Colorado Department of Education (CDE), the Technical Advisory Panel for Longitudinal Growth (TAP), and the National Center for the Improvement of Educational Assessment (NCIEA). Its development was required by state statute (SB09-163) and assigned to the Technical Advisory Panel. The…
Descriptors: Growth Models, Elementary Secondary Education, Accountability, Academic Achievement
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Li, Wei; Konstantopoulos, Spyros – Journal of Experimental Education, 2019
Education experiments frequently assign students to treatment or control conditions within schools. Longitudinal components added in these studies (e.g., students followed over time) allow researchers to assess treatment effects in average rates of change (e.g., linear or quadratic). We provide methods for a priori power analysis in three-level…
Descriptors: Research Design, Statistical Analysis, Sample Size, Effect Size
Data Quality Campaign, 2020
States can and should continue to measure student growth in 2021. Growth data will be crucial to understanding how school closures due to COVID-19 have affected student progress and what supports they will need to get back on track. Education leaders will also need growth data to ensure that any recovery efforts are equitable as well as effective…
Descriptors: Student Evaluation, Growth Models, State Policy, State Standards
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Zhan, Peida; Jiao, Hong; Liao, Dandan; Li, Feiming – Journal of Educational and Behavioral Statistics, 2019
Providing diagnostic feedback about growth is crucial to formative decisions such as targeted remedial instructions or interventions. This article proposed a longitudinal higher-order diagnostic classification modeling approach for measuring growth. The new modeling approach is able to provide quantitative values of overall and individual growth…
Descriptors: Classification, Growth Models, Educational Diagnosis, Models
New York State Education Department, 2020
This document describes the model used to measure student growth for institutional accountability in New York State for the 2018/19 school year and how three years of student growth results were combined to generate a three-year growth measure called the Growth Index. The Growth Index was first used in 2017/18 to make accountability…
Descriptors: Growth Models, Accountability, Scores, Predictor Variables
Mendels, Pamela – Educational Leadership, 2017
As part of "The Wallace Foundation's Principal Pipeline" initiative, six districts have been working to reshape their school leadership evaluation systems to provide better and more consistent feedback to principals--and ultimately to help them grow in their jobs. In this article, Pamela Mendels, a senior editor at Wallace, describes the…
Descriptors: Principals, Administrator Evaluation, Feedback (Response), School Districts
Hedger, Joseph – National Association of State Boards of Education, 2018
When the 2017 National Assessment of Educational Progress was released earlier this year, most states learned that their average scores in grades 4 and 8 reading and mathematics remained relatively flat since 2015. More troubling though, students performing at the lowest 10th and 25th percentiles saw a decline in their scores. To confront this…
Descriptors: Academic Achievement, Growth Models, Low Achievement, Accountability
Blackorby, Jose; Taylor, Cornelia; Wei, Xin – IDEA Data Center, 2016
Educators are using growth models for a variety of accountability, instructional planning, and evaluation purposes in U.S. schools. This white paper, with a focus on special education populations, provides state and local education personnel with an overview of issues to consider with growth models, a look at models currently in use, and a…
Descriptors: Growth Models, Special Education, Outcomes of Education, State Programs
New York State Education Department, 2019
This document describes the model used to measure student growth for institutional accountability in New York State for the 2017/18 school year and how three years of student growth results were combined to generate a three-year growth measure called the Growth Index. The Growth Index is new in 2017/18 and is used to make accountability…
Descriptors: Growth Models, Accountability, State Departments of Education, Scores
Texas Education Agency, 2016
Beginning in the 2017-2018 school year, appraisal systems in Texas, whether the state-recommended system or a locally developed system, will need to include a measure of student growth at the individual teacher level. Student growth measures how much a student progresses academically during his or her time with a particular teacher. It takes into…
Descriptors: Growth Models, Outcome Measures, Academic Achievement, Portfolio Assessment
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