Abstract
In the field of education, it is often of great interest to estimate the percentage of students who start out in the top test quantile at time 1 and who remain there at time 2, which is termed as “persistence rate,” to measure the students’ academic growth. One common difficulty is that students’ performance may be subject to measurement errors. We therefore considered a correlation calibration method and the simulation–extrapolation (SIMEX) method for correcting the measurement errors. Simulation studies are presented to compare various measurement error correction methods in estimating the persistence rate.
| Original language | English |
|---|---|
| Pages (from-to) | 997-1013 |
| Number of pages | 17 |
| Journal | Communications in Statistics Part B: Simulation and Computation |
| Volume | 47 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Apr 21 2018 |
| Externally published | Yes |
Bibliographical note
Funding Information:This work was supported by the Natural (NSERC).
Funding Information:
The authors acknowledge the late Dr. Randy Sitter for his valuable advice and comments during the early phase of this research. We also thank Dr. Graham Kalton from Westat Inc. for his valuable discussions. The authors thank the associate editor and the anonymous referee for making valuable suggestions, which led to a considerable improvement in the presentation of this article. This work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC).
Publisher Copyright:
© 2018, © 2018 Taylor & Francis Group, LLC.
ASJC Scopus Subject Areas
- Statistics and Probability
- Modelling and Simulation