Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 5 |
| Since 2006 (last 20 years) | 6 |
Descriptor
| Growth Models | 6 |
| Reliability | 6 |
| Scores | 4 |
| Computation | 3 |
| Correlation | 3 |
| Accuracy | 2 |
| Error of Measurement | 2 |
| Item Response Theory | 2 |
| Teacher Evaluation | 2 |
| Academic Achievement | 1 |
| Bilingual Education | 1 |
| More ▼ | |
Source
| Applied Measurement in… | 1 |
| Cogent Education | 1 |
| Educational Assessment | 1 |
| Educational Measurement:… | 1 |
| International Journal of… | 1 |
| Measurement:… | 1 |
Author
| Alecio, Rafael Lara | 1 |
| Amrein-Beardsley, Audrey | 1 |
| Cai, Li | 1 |
| Chapa, Selena | 1 |
| Fine, Kimberly | 1 |
| Grimm, Kevin J. | 1 |
| Irby, Beverly J. | 1 |
| Lin, Shuqiong | 1 |
| Luo, Wen | 1 |
| Marcoulides, Katerina M. | 1 |
| Monroe, Scott | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 5 |
| Reports - Evaluative | 1 |
Education Level
| Early Childhood Education | 2 |
| Elementary Education | 1 |
| Grade 3 | 1 |
| Grade 4 | 1 |
| Grade 5 | 1 |
| Grade 6 | 1 |
| Intermediate Grades | 1 |
| Middle Schools | 1 |
| Preschool Education | 1 |
| Primary Education | 1 |
Audience
Location
| Texas | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Bracken Basic Concept Scale | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkGrimm, Kevin J.; Fine, Kimberly; Stegmann, Gabriela – International Journal of Behavioral Development, 2021
Modeling within-person change over time and between-person differences in change over time is a primary goal in prevention science. When modeling change in an observed score over time with multilevel or structural equation modeling approaches, each observed score counts toward the estimation of model parameters equally. However, observed scores…
Descriptors: Error of Measurement, Weighted Scores, Accuracy, Item Response Theory
Marcoulides, Katerina M. – Measurement: Interdisciplinary Research and Perspectives, 2019
Longitudinal data analysis has received widespread interest throughout educational, behavioral, and social science research, with latent growth curve modeling currently being one of the most popular methods of analysis. Despite the popularity of latent growth curve modeling, limited attention has been directed toward understanding the issues of…
Descriptors: Reliability, Longitudinal Studies, Growth Models, Structural Equation Models
Wells, Craig S.; Sireci, Stephen G. – Applied Measurement in Education, 2020
Student growth percentiles (SGPs) are currently used by several states and school districts to provide information about individual students as well as to evaluate teachers, schools, and school districts. For SGPs to be defensible for these purposes, they should be reliable. In this study, we examine the amount of systematic and random error in…
Descriptors: Growth Models, Reliability, Scores, Error Patterns
Pivovarova, Margarita; Amrein-Beardsley, Audrey – Educational Assessment, 2018
While states are no longer required to set up teacher evaluation systems based in significant part on student test scores, quite a few continue to use value-added (VAMs) or student growth percentile (SGP) models for that purpose. In this study, we analyzed three years of teacher data to illustrate the performance of teachers' median growth…
Descriptors: Growth Models, Teacher Evaluation, Value Added Models, Reliability
Lin, Shuqiong; Luo, Wen; Tong, Fuhui; Irby, Beverly J.; Alecio, Rafael Lara; Rodriguez, Linda; Chapa, Selena – Cogent Education, 2020
Student learning objectives (SLOs) have become an increasingly popular tool for teacher evaluations as an alternative to Value-added Models (VAMs). However, the use of SLOs faces two major challenges. First, the target setting is mostly subjective and arbitrary. Second, there is little evidence on the reliability and validity of the tool. In this…
Descriptors: Student Educational Objectives, Teacher Evaluation, Data Use, Academic Achievement
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
