normTable.betabinomial: Calculate Cumulative Probabilities, Density, Percentiles, and...

In cNORM: Continuous Norming

Calculate Cumulative Probabilities, Density, Percentiles, and Z-Scores for Beta-Binomial Distribution

Description

This function generates a norm table for specific ages based on the beta binomial regression model. In case a confidence coefficient (CI, default .9) and the reliability is specified, confidence intervals are computed for the true score estimates, including a correction for regression to the mean (Eid & Schmidt, 2012, p. 272).

Usage

normTable.betabinomial(
  model,
  ages,
  n = NULL,
  m = NULL,
  range = 3,
  CI = 0.9,
  reliability = NULL
)

Arguments

model	The model, fitted with cnorm.betabinomial.
ages	A numeric vector of age points at which to compute the tables.
n	The number of items resp. the maximum score.
m	An optional stop criterion in table generation. Positive integer lower than n. Please note: The probabilities are always computed on the full support 0 to n; m only truncates the output table.
range	The range of the norm scores in standard deviations. Default is 3. Thus, scores in the range of +/- 3 standard deviations are considered.
CI	Confidence coefficient, ranging from 0 to 1, default .9.
reliability	Reliability coefficient, ranging between 0 to 1.

Value

A list of data frames with columns: x, Px, Pcum, Percentile, z, norm score and possibly confidence intervals.

cNORM documentation built on July 13, 2026, 5:08 p.m.