NotesFAQContact Us
Collection
Advanced
Search Tips
Location
Australia1
Turkey1
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing all 12 results Save | Export
Joshua Isidore Peri – ProQuest LLC, 2022
Applied researchers faced with limited resources can utilize planned missing designs by incorporating missing data into their research design to collect more and higher quality data compared to a conventional experimental design. Two-method measurement planned missing designs (TMM-PMD) are a type of planned missing design whereby researchers…
Descriptors: Growth Models, Research Design, Measurement, Sample Size
Scott Marion; Chris Domaleski; Will Lorié – National Center for the Improvement of Educational Assessment, 2025
Federal law requires that state accountability systems include "another academic indicator" for elementary and middle schools in addition to academic achievement. Nearly all states use a measure of student longitudinal growth as their other academic indicator. But how should states decide which growth model to use? The Center for…
Descriptors: Federal Legislation, Accountability, Educational Indicators, Federal State Relationship
Peer reviewed Peer reviewed
Direct linkDirect link
Patterson, Leigh Cameron – Australian Journal of Education, 2023
Considerable interest lies in the growth in educational achievement that occurs over the course of a child's schooling. This paper demonstrates a simple but effective approach for the comparison of growth rates, drawing on a method first proposed some 80 years ago and applying it to data from the Australian National Assessment Program. The…
Descriptors: Item Response Theory, Growth Models, Psychometrics, National Competency Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Fay, Derek M.; Levy, Roy; Schulte, Ann C. – Journal of Experimental Education, 2022
Longitudinal data structures are frequently encountered in a variety of disciplines in the social and behavioral sciences. Growth curve modeling offers a highly extensible framework that allows for the exploration of rich hypotheses. However, owing to the presence of interrelated sources of potential data-model misfit at multiple levels, the…
Descriptors: Measurement, Models, Bayesian Statistics, Hierarchical Linear Modeling
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Briggs, Derek C.; Chattergoon, Rajendra; Burkhardt, Amy – Journal of Educational Measurement, 2019
The process of setting and evaluating student learning objectives (SLOs) has become increasingly popular as an example where classroom assessment is intended to fulfill the dual purpose use of informing instruction and holding teachers accountable. A concern is that the high-stakes purpose may lead to distortions in the inferences about students…
Descriptors: Student Educational Objectives, Student Evaluation, Teacher Evaluation, Scores
Samonte, Kelli Marie – ProQuest LLC, 2017
Longitudinal data analysis assumes that scales meet the assumption of longitudinal measurement invariance (i.e., that scales function equivalently across measurement occasions). This simulation study examines the impact of violations to the assumption of longitudinal measurement invariance on growth models and whether modeling the invariance…
Descriptors: Test Bias, Growth Models, Longitudinal Studies, Simulation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Basokçu, T. Oguz; Ögretmen, T. – Educational Research and Reviews, 2016
This study is based on the application of latent growth modeling, which is one of structural equation models on real data. Teachers' Sense of Efficacy Scale (TSES), which was previously adapted into Turkish was administered to 200 preservice teachers at different time intervals for three times and study data was collected. Measurement equivalence…
Descriptors: Foreign Countries, Self Efficacy, Self Concept Measures, Growth Models
Jacob, Brian; Rothstein, Jesse – National Bureau of Economic Research, 2016
Economists often use test scores to measure a student's performance or an adult's human capital. These scores reflect non-trivial decisions about how to measure and scale student achievement, with important implications for secondary analyses. For example, the scores computed in several major testing regimes, including the National Assessment of…
Descriptors: Measurement, Academic Ability, Educational Assessment, Scores
College and Career Readiness and Success Center, 2014
This discussion guide is part of a larger practice guide designed to help state education agencies (SEAs) define measurement goals, select college and career readiness measures and indicators designed to support those goals, and use the data gathered with those measures and indicators to make informed decisions about college and career readiness…
Descriptors: Career Readiness, Standard Setting, Benchmarking, Guides
Patelis, Thanos – College Board, 2012
This is a keynote presentation given at AERA on developing a validity agenda for growth models in a large scale (e.g., state) setting. The emphasis of this presentation was to indicate that growth models and the validity agenda designed to provide evidence in supporting the claims to be made need to be personalized to meet the local or…
Descriptors: Test Validity, Statistical Analysis, Conferences (Gatherings), Evidence