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The Sensitivity of Value-Added Modeling to the Creation of a Vertical Score Scale

Author

Listed:
  • Derek C. Briggs

    (School of Education, University of Colorado, Boulder)

  • Jonathan P. Weeks

    (School of Education, University of Colorado, Boulder)

Abstract

The purpose of this study was to evaluate the sensitivity of growth and value-added modeling to the way an underlying vertical score scale has been created. Longitudinal item-level data were analyzed with both student- and school-level identifiers for the entire state of Colorado between 2003 and 2006. Eight different vertical scales were established on the basis of choices made for three key variables: the item response theory modeling approach, the calibration approach, and the student proficiency estimation approach. Each scale represented a methodological approach that was psychometrically defensible. Longitudinal values from each scale were used as the outcome in a commonly used value-added model (the “layered model” popularized by William Sanders) as a means of estimating school effects. Our findings suggest that while the ordering of estimating school effects is insensitive to the underlying vertical scale, the precision of such value-added estimates can be quite sensitive to the combinations of choices made in the creation of the scale. © 2009 American Education Finance Association

Suggested Citation

  • Derek C. Briggs & Jonathan P. Weeks, 2009. "The Sensitivity of Value-Added Modeling to the Creation of a Vertical Score Scale," Education Finance and Policy, MIT Press, vol. 4(4), pages 384-414, October.
    • Handle: RePEc:tpr:edfpol:v:4:y:2009:i:4:p:384-414
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    File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/edfp.2009.4.4.384
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    Citations

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    Cited by:

    1. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    2. Derek Neal, 2011. "The Design of Performance Pay in Education," NBER Working Papers 16710, National Bureau of Economic Research, Inc.
    3. J. R. Lockwood & Daniel F. McCaffrey, 2014. "Correcting for Test Score Measurement Error in ANCOVA Models for Estimating Treatment Effects," Journal of Educational and Behavioral Statistics, , vol. 39(1), pages 22-52, February.
    4. Derek C. Briggs & Jonathan P. Weeks, 2011. "The Persistence of School-Level Value-Added," Journal of Educational and Behavioral Statistics, , vol. 36(5), pages 616-637, October.

    More about this item

    Keywords

    value-added modeling; vertical score scale; Colorado;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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