| This page contains presentations and Shiny apps produced by students in the TquanT and QHELP seminars. For educational purposes, the source code is shown with the apps. |
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2022 Leuven Seminar |
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 Shortening a Test for Skill Assessment (presentation) |
 Simulating Psychophysical Tasks (Shiny app) |
 Violating Assumptions in Parametric Statistical Testing (RMarkdown document including three Shiny apps)
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 Power Analysis Simulation (Presentation & Shiny apps)
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 Testing a Plagiarism Detection Tool (presentation) |
 Animated Learning Paths v3 (Shiny app) |
 Signal Detection Theory (presentation) |
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2021 Online Seminar |
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 Golf-putting Model (Shiny app) |
 Modelling spending/learning predictive ability towards PISA scores: A learnr tutorial |
 Differential Evolution (Shiny app) |
 Local Search Visualisation (Shiny app) |
 KST: Working with Dataframes in R (presentation) |
 A Skill Map on Logistic Regressions (presentation) |
 Knowledge Structure on Properties of Relations (presentation) |
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2019 seminar |
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| This seminar is no longer funded by the Erasmus+ Programme as the TquanT project finished in August 2018. This year, we had a collection of Shiny apps and presentations. |
 Power and Violation of Assumptions. Shiny App.
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 Stop-Signal Paradigm: A Copula-Driven Analysis. Presentation.
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 Ising Model - A Network Perspective on TquanT 2019. Presentation and Shiny App.
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 Is Free Will an Illusion? Presentation and Shiny App.
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 Spotting White Lies. Presentation.
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 Validating BLIM-Simulated Data. Shiny App.
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 Data Transformation & Regression. Presentation and Shiny App.
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2018 seminar |
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Monte Carlo Data Visualization & Comparison
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Machine Learning
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Validating Knowledge Structures
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Crossmodal Response Enhancement
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Power Rangers Simulation App
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Exploring Probability Distributions
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A Tutorial on Item Response Theory
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A Tutorial on Distirbutions as Urn Problems
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Network Models
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Model Comparison
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Parameter Estimation with Maximum Likelihood
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Data Input & Visualization
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Analyzing a CSV File (this app is not available due to security reasons)
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2017 seminar |
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Check Your Stats!
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Dynamic Fitting
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Cross-Validation
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Estimating TWIN
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Signal Detection
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Linear Mixed Effects Model
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Mixed Models: Random Effects
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Model Comparison
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Estimation of Knowledge Structures
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Knowledge Space Theory
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Reproducibility
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2016 seminar |
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Knowledge space application
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James Stein estimator
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Linear mixed models
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Probability updating: Frog example
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Model Comparison: Linear models with mixed-effects
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Comparing intraclass correlations for Schwarz values across European countries
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Bayesian and frequentist t-test
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Bayesian correlation
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Pizza app: Illustration of the Bayes factor
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QHELP is co-funded by
the Erasmus+ Programme of the European Commission.