A Bootstrapping Assessment on A U.S. Education Indicator Construction Through Multiple Imputation

Jianjun Wang ()
Additional contact information
Jianjun Wang: California State University

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2021, vol. 153, issue 2, No 2, 442 pages

Abstract: Abstract Under a matrix sampling design, no students complete all test booklets in the National Assessment of Educational Progress (NAEP). To construct an education indicator on what students know and can do, multiple imputation (MI) is conducted to compute plausible values (PV) from student responses to a subset of the questions. Since 2013, NAEP increased the number of imputed PV from five to 20. A purpose of this investigation is to examine the impact of this NAEP change on indicator reporting. R algorithm is created to compute bootstrap standard errors of the PV distribution. The results show that the 20-imputation setting has reduced the standard error and improved normality in comparison to the five-imputation setting. While the bootstrap technique is typically set to generate 1000 resamples, the findings from this study further indicate that an increase of the resampling number is unlikely to reduce the standard error estimate.

Keywords: Bootstrapping; Plausible value; National assessment of educational progress (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11205-020-02507-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:soinre:v:153:y:2021:i:2:d:10.1007_s11205-020-02507-4

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11205-020-02507-4

Access Statistics for this article

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement is currently edited by Filomena Maggino

More articles in Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().