Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Bayesian Statistics | 2 |
Error of Measurement | 2 |
Grade 6 | 2 |
Longitudinal Studies | 2 |
Regression (Statistics) | 2 |
Teacher Effectiveness | 2 |
Academic Achievement | 1 |
Accuracy | 1 |
Achievement Gains | 1 |
Attendance | 1 |
Computation | 1 |
More ▼ |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Education Level
Elementary Education | 2 |
Grade 6 | 2 |
Intermediate Grades | 2 |
Middle Schools | 2 |
Grade 4 | 1 |
Grade 5 | 1 |
Grade 7 | 1 |
Grade 8 | 1 |
Junior High Schools | 1 |
Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lockwood, J. R.; Castellano, Katherine E. – Educational and Psychological Measurement, 2017
Student Growth Percentiles (SGPs) increasingly are being used in the United States for inferences about student achievement growth and educator effectiveness. Emerging research has indicated that SGPs estimated from observed test scores have large measurement errors. As such, little is known about "true" SGPs, which are defined in terms…
Descriptors: Item Response Theory, Correlation, Student Characteristics, Academic Achievement
Lockwood, J. R.; McCaffrey, Daniel F. – Journal of Educational and Behavioral Statistics, 2014
A common strategy for estimating treatment effects in observational studies using individual student-level data is analysis of covariance (ANCOVA) or hierarchical variants of it, in which outcomes (often standardized test scores) are regressed on pretreatment test scores, other student characteristics, and treatment group indicators. Measurement…
Descriptors: Error of Measurement, Scores, Statistical Analysis, Computation