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Imputing Attendance Data in a Longitudinal Multilevel Panel Data Set

Author

Listed:
  • Jaime Thomas
  • Pia Caronongan
  • Bethany Simard
  • Cheri A. Vogel
  • Kimberly Boller

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.

Suggested Citation

  • Jaime Thomas & Pia Caronongan & Bethany Simard & Cheri A. Vogel & Kimberly Boller, "undated". "Imputing Attendance Data in a Longitudinal Multilevel Panel Data Set," Mathematica Policy Research Reports fb87ee53f56548aba82908308, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:fb87ee53f56548aba829083082e79688
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    File URL: https://www.mathematica.org/-/media/publications/pdfs/earlychildhood/babyfaces_imputation.pdf
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    References listed on IDEAS

    as
    1. Loeb, Susanna & Bridges, Margaret & Bassok, Daphna & Fuller, Bruce & Rumberger, Russell W., 2007. "How much is too much? The influence of preschool centers on children's social and cognitive development," Economics of Education Review, Elsevier, vol. 26(1), pages 52-66, February.
    2. Cora Maas & Tom Snijders, 2003. "The Multilevel Approach to Repeated Measures for Complete and Incomplete Data," Quality & Quantity: International Journal of Methodology, Springer, vol. 37(1), pages 71-89, February.
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