EconPapers    
Economics at your fingertips  
 

Imputing Attendance Data in a Longitudinal Multilevel Panel Data Set

Jaime Thomas, Pia Caronongan, Bethany Simard, Cheri A. Vogel and Kimberly Boller

Mathematica Policy Research Reports from Mathematica Policy Research

Abstract: Given the intensive demands that collecting attendance data places on program staff, it can often be challenging to collect and might result in a fair amount of missing data, which can compromise the reliability and validity of attendance estimates.

Keywords: early childhood education; program attendance; statistical methods; multiple imputation (search for similar items in EconPapers)
Pages: 20
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mathematica.org/-/media/publications/p ... faces_imputation.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (https://www.mathematica.org/-/media/publications/pdfs/earlychildhood/babyfaces_imputation.pdf [302 Found]--> https://www.mathematica.org/System/404-page-not-found?ItemNotFound=true)

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:mpr:mprres:fb87ee53f56548aba829083082e79688

Access Statistics for this paper

More papers in Mathematica Policy Research Reports from Mathematica Policy Research Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications. Contact information at EDIRC.
Bibliographic data for series maintained by Joanne Pfleiderer () and Cindy George ( this e-mail address is bad, please contact ).

 
Page updated 2025-04-22
Handle: RePEc:mpr:mprres:fb87ee53f56548aba829083082e79688