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Currently experimental function that creates a list object containing one table and two plots showing the range of plausible values at each ordinal sum score level (corresponds to possible theta values). Means and 95% HDCIs are shown in figures and in table. One plot makes mean adjustments for WL estimate thetas, since the plausible values are based on EAP estimates. This is similar to the bias adjustment made when bootstrapping.

Usage

RIcrel(
  data,
  draws = 500,
  n = 10,
  conf_level = 0.95,
  estim = "WLE",
  theta_range = c(-6, 6)
)

Arguments

data

Dataframe with item responses

draws

Number of plausible values to generate

n

Number of persons to sample from each sum score level

conf_level

Desired confidence interval (HDCI)

estim

Estimation method for theta (latent scores)

theta_range

The range of possible theta values