Legacy simulation of item-sort target-count power

Auxiliary compatibility helper. For supported exact planning, prefer sort_power(), which does not require Monte Carlo simulation.

Usage

simulate_csv_power(N = 20, true_p = 0.65, reps = 2000, alpha = 0.05)

Arguments

N

Number of judges per item.

true_p

True assignment probability to the target construct.

reps

Number of simulation replications.

alpha

Significance level.

Value

Estimated power (a number between 0 and 1).

Examples

simulate_csv_power(N = 20, true_p = 0.65, reps = 100, alpha = 0.05)
#> [1] 0.31