• Summary
  • Contents
  • Subject index

An accessible introduction to the principles of computational and mathematical modeling in psychology and cognitive science

This practical and readable work provides students and researchers, who are new to cognitive modeling, with the background and core knowledge they need to interpret published reports, and develop and apply models of their own. The book is structured to help readers understand the logic of individual component techniques and their relationships to each other.

Not Everything That Fits Is Gold: Interpreting the Modeling
Not everything that fits is gold: Interpreting the modeling

We have shown you how to fit models to data and how to select the “best” one from a set of candidates. With those techniques firmly under our belt, we can now take up three issues that are important during interpretation of our modeling results.

First, we expand on the notion of “goodness of fit” and how it relates to the properties of our data. What exactly does a good fit tell us? Is a good fit necessarily good? What is a “good fit”, anyhow?

Second, suppose that our model fits the data well; we need to ask whether it could have been bad—that is, can we be sure that ...

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