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Elite-Check
Was man sonst noch beantworten sollte!
Aufgabenstellung R-Tutorial
Hier ist die Aufgabenstellung der Korrekturen, die du vom Anfangsskript (R-Tutorial-ST-before-Class-2025-04-07a-BS.Rmd) bis zum finalen Ergebnis vornehmen musst.
Exercise 6 - Cluster Analysis (Segmenting & Targeting)
Goethe University Frankfurt Preparation - Workspace and Notation Read and Describe Data Variables Selection Hierarchical Clustering 5 Hierarchical Clustering Perform Hierarchical Clustering Run Clustering with Ward Method Derivation of Number of Clusters Dendrogram Elbow-Criterion Save Cluster Assignments Cluster Description Erstelle die Mittelwerte pro Cluster Profile Customers for Targeting Partitional Clustering (here: K-Means) Set Seed Example: Kmeans for 5 Clusters
Lab report 1
Introduction to R and RStudio lecture for the 1st year students of Life Sciences and Chemistry Major
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Psychometrics: Computerized Adaptive Testing
This project implements a complete computational framework for CAT, bridging the robust mathematical foundations of Item Response Theory (IRT) with the dynamic, data-driven logic of adaptive algorithms. By continuously selecting the most informative items for each individual, CAT achieves precise ability estimation with substantially fewer questions, reducing testing time by 50–70% while maintaining or enhancing measurement quality. The system integrates core components—from Fisher Information and Bayesian estimation to practical constraints like content balancing and exposure control—into a cohesive, operational engine for next-generation educational, psychological, and professional assessment.
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