Daniel J. Navarro, Mark A. Pitt, and In Jae Myung Department of Psychology...  Home/Search
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Abstract: A difficulty in the development and testing of psychological models is that they are typically evaluated solely on their ability to fit experimental data, with little consideration given to their ability to fit other possible data patterns. By examining how well model A fits data generated by model B, and vice versa (a technique that we call landscaping), much safer inferences can be made about the meaning of a models fit to data. We demonstrate the landscaping technique using four models... (Update)
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BibTeX entry: (Update)
@misc{ mark-running,
author = "Daniel Navarro Mark",
title = "Running Head: Model Distinguishability Assessing the Distinguishability
of Models and the Informativeness of Data",
url = "citeseer.ist.psu.edu/634563.html" }
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