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Advanced Item Selection: Content Balancing, Exposure Control, and Shadow CAT6 days ago
Overview | Shared Item Bank | 1. Content Balancing | Concept | Setup | Running a session with content balancing | Inspecting the domain distribution | apply_content_balancing() directly | 2. Exposure Control | 2a. Sympson-Hetter | 2b. Randomesque | Using exposure control functions directly | 3. Shadow CAT | Example 1 -- Greedy shadow (no external solver) | Example 2 -- Content and overlap constraints (no solver) | Example 3 -- LP-based shadow test with lpSolve | 4. Combining Features | Summary | References
Getting Started with cdCAT6 days ago
Overview | 1. Defining the Item Bank | 2. Running a CD-CAT Session | 3. Extracting Results | 4. Item Selection Criteria | 5. Supported Models | 6. Estimation Methods
Simulation Study: Comparing Item Selection Criteria and Stopping Rules6 days ago
Overview | Experimental factors | Evaluation metrics | Setup | Simulation | Results | Full results table | PCCR and ATL by criterion | PCCR and ATL by stopping rule | PCCR heatmap | Summary
Simulation Study: Comparing Item Selection Criteria and Stopping Rules4 months ago
Overview | Experimental factors | Evaluation metrics | Setup | Simulation | Results | Full results table | PCCR and ATL by criterion | PCCR and ATL by stopping rule | PCCR heatmap | Summary
Advanced Item Selection: Content Balancing, Exposure Control, and Shadow CAT4 months ago
Overview | Shared Item Bank | 1. Content Balancing | Concept | Setup | Running a session with content balancing | Inspecting the domain distribution | apply_content_balancing() directly | 2. Exposure Control | 2a. Sympson-Hetter | 2b. Randomesque | Using exposure control functions directly | 3. Shadow CAT | Example 1 -- Greedy shadow (no external solver) | Example 2 -- Content and overlap constraints (no solver) | Example 3 -- LP-based shadow test with lpSolve | 4. Combining Features | Summary | References
Getting Started with cdCAT4 months ago
Overview | 1. Defining the Item Bank | 2. Running a CD-CAT Session | 3. Extracting Results | 4. Item Selection Criteria | 5. Supported Models | 6. Estimation Methods