Selection Decisions in Diagnostic Applications

This app illustrates theoretical concepts that are relevant when a diagnostic test is applied in connection with a dichotomous (pass/fail) decision. The user is invited to explore the effects of several factors on the validity of the selection decision, and how these factors influence each other.

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Urn Problems

This app illustrates and visualizes four different discrete distributions via the urn model. It allows a user to change the properties of an urn and draw from it in order to get a feeling for the probabilistic mechanism represented by the corresponding theoretical distribution.

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Excess of Success

This app illustrates key concepts in Francis’s (2012) paper on replication in psychology: first, the excess of success, that is observing more successful replications than what would be expected within classical null hypothesis testing; second, a publication bias test that tests for too many successful replications.

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Simulating Statistical Power

This app aims to help students to understand what is statistical power and to estimate it through simulated data. The app allows the user to perform simulations with commonly used tests, such as one- and two-sample t test and one-way ANOVA with and without repeated measures.

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Simulating BLIM

This app illustrates the application of the BLIM model to simulating response patterns from a knowledge structure.

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Knowledge Assessment App

The Knowledge Assessment App aims to demonstrate how the adaptive assessment of knowledge developed within the Knowledge Space Theory (KST) framework works in practice. There exists an extensive documentation for this app.

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