Measuring Progress Toward a Goal
Estimating Teacher Productivity Using a Multivariate Multilevel Model for Value-Added Analysis
Bibliographic Data
| ID | 2330438 |
|---|---|
| Authors | Yeow Meng Thum (University of California, Los Angeles, corresponding author) |
| Year | 2003 |
| Volume | 32 |
| Issue | 2 |
| Pages | 153-207 |
| Publication date | 2003-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sociological Methods & Research (JOURNAL) |
| Journal identifiers | ISSN: 0049-1241 • E-ISSN: 1552-8294 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0049124103257073 |
| OpenAlex | W1989634301 |
| Language | EN |
| Citations received | 3 |
| References cited | 64 |
This article develops a procedure for measuring how much is gained by students in a pretest and posttest situation against a target score on the posttest. The author defines a productivity index, Mj, for teacher j as the ratio of estimated gains to an estimated standard that is the distance between an estimate of the pretest and target score. Using language, mathematics, and reading scores on the SAT 9 for 1999 and 2000 from 75 public elementary classrooms (Grades 3-6 in 2000), the author employs a Bayesian implementation of a multivariate mixed model for repeated test scores from individual students. The analysis points to statistically significant gains on the whole for Grades 3, 4, and 6. The strength of the approach lies in a straightforward estimation of the productivity index and a procedure for representing its uncertainty in the form of a productivity profile. This approach also facilitates a Bayesian effect size analysis free from frequentist appeals to noncentral t or F distributions
Bayesian inference · Bayesian probability · Econometrics · Economics · Frequentist inference · Index (typography) · Mathematics education · Multivariate statistics · Political science · Productivity · Reading (process) · Statistics · Test (biology) · Bayesian Modeling and Causal Inference · Computer Science · Mathematics · Psychology · Psychometric Methodologies and Testing · School Choice and Performance
Statistical power and optimal design for multisite randomized trials.
Random-Effects Models for Longitudinal Data
Bayesian model averaging
General Methods for Monitoring Convergence of Iterative Simulations
League Tables and Their Limitations
A multivariate hierarchical model for studying psychological change within married couples.
Bayes Estimates for the Linear Model
Science and Statistics
Bayes Factors
Bayesian Measures of Model Complexity and Fit
Hierarchical linear models
Confidence Intervals for Correlation Ratios
Assessing School Academic Productivity
Change Scores as Dependent Variables in Regression Analysis
What Future Quantitative Social Science Research Could Look Like
Assessments and Accountability
Teachers Make a Difference
"How we should measure "change
A growth curve approach to the measurement of change
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,15 |
| Citation span | 2006 - 2020 (15) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |