On correcting measurement error in the persistence rate estimator

Cindy X. Feng; Andrea Piesse

doi:10.1080/03610918.2017.1300269

On correcting measurement error in the persistence rate estimator

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Resumen

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.

Idioma original	English
Páginas (desde-hasta)	997-1013
Número de páginas	17
Publicación	Communications in Statistics Part B: Simulation and Computation
Volumen	47
N.º	4
DOI	https://doi.org/10.1080/03610918.2017.1300269
Estado	Published - abr. 21 2018
Publicado de forma externa	Sí

Nota bibliográfica

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

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10.1080/03610918.2017.1300269

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Feng, C. X., & Piesse, A. (2018). On correcting measurement error in the persistence rate estimator. Communications in Statistics Part B: Simulation and Computation, 47(4), 997-1013. https://doi.org/10.1080/03610918.2017.1300269

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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{\textquoteright} academic growth. One common difficulty is that students{\textquoteright} 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.",

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On correcting measurement error in the persistence rate estimator

Resumen

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ASJC Scopus Subject Areas

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