Author ORCID Identifier
Document Type
Article
Publication Date
3-13-2018
Publication Title
The Journal of Economic Education
Volume
49
Issue
2
First Page
220
Last Page
221
Abstract
In 2016, Walstad and Wagner released an article that suggested practitioners should disaggregate value-added learning scores into four categories: positive, negative, retained, and zero learning. Positive learning is said to occur when a student answers a question incorrectly on the pre-test and correctly on the post-test. Negative learning is said to occur when the student correctly answers the question on the pre-test but incorrectly on the post-test. Retained learning is said to occur when the student answers the question correctly on both exams and zero learning is said to occur when the student answers the question incorrectly on both exams. Smith and Wagner (2017) improved on this work by adjusting the learning categories for guessing.
Recommended Citation
Smith, Ben O., "Multiplatform software tool to disaggregate and adjust value-added learning scores" (2018). Economics Faculty Publications. 38.
https://digitalcommons.unomaha.edu/econrealestatefacpub/38
Comments
This is an Accepted Manuscript of an article published by Taylor & Francis in THE JOURNAL OF ECONOMIC EDUCATION on 13 March 2018, available online: https://doi.org/10.1080/00220485.2018.1438863