classical {MiscPsycho}R Documentation

Classical Item Analysis

Description

Provides p-values, standard errors of p-values, and point-biserial correlations for multiple choice test items. The standard errors can be design-consistent to reflect the sampling design

Usage

classical(...)
## Default S3 method:
classical(data, designSE = FALSE, group, ...)
## S3 method for class 'formula':
classical(formula, data, na.action, subset, designSE, group,  ...)

Arguments

formula an object of class "formula" (or one that can be coerced to that class): a symbolic description of the model to be fitted. The details of model specification are given under Details.
data an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model. If not found in data, the variables are taken from environment(formula), typically the environment from which classical is called.
na.action a function which indicates what should happen when the data contain NAs. Defaults to getOption("na.action").
subset an optional vector specifying a subset of observations to be used.
designSE logical. If TRUE the function returns design-consistent standard errors to capture clustering in the population
group the grouping variable. Used only if designSE = TRUE
... not implemented

Author(s)

Harold C. Doran

Examples

xx <- simRasch(200,10)
itemDat <- xx$dat
itemDat$group <- gl(10,20)
(aa <- classical(~V1+V2+V3+V4+V5+V6+V7+V8+V9+V10, data = itemDat, design = TRUE, group = group))
summary(aa)
classical(itemDat[,1:10])

[Package MiscPsycho version 1.5 Index]