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.
Read MoreThe aim of the app is to give students and researchers a tool to balance experimental groups before starting an experiment.
Read MoreThis app illustrates the application of the BLIM model to simulating response patterns from a knowledge structure.
Read MoreThis app illustrates the use of IITA to generate surmise relations from data.
Read MoreThe 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.
Read MoreThis app illustrates a simple approach to generating knowledge structures from response patterns.
Read MoreThis app gives an example on some validation coefficients. It is an extended version of an app developed by students at the TquanT Mobility 2018 in Glasgow.
Read MoreThis app illustrates the relation between p-values and Bayes factors for various statistical tests under sequential and block sampling procedures
Read MoreThis app illustrates the fringe and neighbourhood of knowledge states.
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