Test Scaling and Value-Added Measurement
AbstractConventional value-added assessment requires that achievement be reported on an interval scale. While many metrics do not have this property, application of item response theory (IRT) is said to produce interval scales. However, it is difficult to confirm that the requisite conditions are met. Even when they are, the properties of the data that make a test IRT scalable may not be the properties we seek to represent in an achievement scale, as shown by the lack of surface plausibility of many scales resulting from the application of IRT. An alternative, ordinal data analysis, is presented. It is shown that value-added estimates are sensitive to the choice of ordinal methods over conventional techniques. Value-added practitioners should ask themselves whether they are so confident of the metric properties of these scales that they are willing to attribute differences to the superiority of the latter. © 2009 American Education Finance Association
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by MIT Press in its journal Education Finance and Policy.
Volume (Year): 4 (2009)
Issue (Month): 4 (October)
Contact details of provider:
Web page: http://mitpress.mit.edu/journals/
Find related papers by JEL classification:
- I20 - Health, Education, and Welfare - - Education - - - General
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Cory Koedel & Mark Ehlert & Eric Parsons & Michael Podgursky, 2012.
"Selecting Growth Measures for School and Teacher Evaluations,"
1210, Department of Economics, University of Missouri.
- Cory Koedel & Mark Ehlert & Eric Parsons & Michael Podgursky & P. Brett Xiang, 2014. "Selecting Growth Measures for School and Teacher Evaluations," Working Papers 1401, Department of Economics, University of Missouri.
- Barrett, Nathan & Toma, Eugenia F., 2013. "Reward or punishment? Class size and teacher quality," Economics of Education Review, Elsevier, vol. 35(C), pages 41-52.
- Barlevy, Gadi & Neal, Derek, 2009.
"Pay for Percentile,"
IZA Discussion Papers
4383, Institute for the Study of Labor (IZA).
- Koedel Cory & Leatherman Rebecca & Parsons Eric, 2012.
"Test Measurement Error and Inference from Value-Added Models,"
The B.E. Journal of Economic Analysis & Policy,
De Gruyter, vol. 12(1), pages 1-37, November.
- Cory Koedel & Rebecca Leatherman & Eric Parsons, 2012. "Test Measurement Error and Inference from Value-Added Models," Working Papers 1201, Department of Economics, University of Missouri.
- Wiswall, Matthew, 2013. "The dynamics of teacher quality," Journal of Public Economics, Elsevier, vol. 100(C), pages 61-78.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Karie Kirkpatrick).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.