Table 1 Simulation parameters for generating a score made by Judge j for item i
From: Insights into the Angoff method: results from a simulation study
Notation | Parameter | Random function |
|---|---|---|
A | Judge’s Accuracy | Normal (μ = 0; σ = 1) |
S | Judge’s Stringency | Normal (μ = 0; σ = 1) |
L | Judge’s Leadership | Normal (μ = 0; σ = 1) |
Wa | Accuracy’s Weight | (Normal (μ = 0; σ = 1) + 3)/3 |
Ws | Stringency’s Weight | (Normal (μ = 0; σ = 1) + 3)/3 |
Ji | Judge’s raw score of item i | Normal (μ = 0; σ = Aj) |
Sji | Judge’s Stringency for item i | Normal (μ = Sj; σ = 1) |
Sa | The impacts of Accuracy on Stringencya | Normal (μ = 1-Aj; σ = 1) |
La | The impacts of Accuracy on Leadershipa | Normal (μ = 1-Aj; σ = 1) |
Lji | Judge’s Leadership in the second round | Normal (μ = Lj; σ = 1) |