summary.mdf: 'summary' method for S3 class 'mdf' objects.

In SpyrosBalafas/mudfold: Multiple UniDimensional unFOLDing

Description

Generic function that is used in order to summarize information from mdf class objects.

Usage

## S3 method for class 'mdf'
summary(object,...)

Arguments

object	Object of class mdf resulted from the function mudfold or as.mudfold.
...	Other arguments passed on to method summary. Not currently used.

Details

A summary of the MUDFOLD scale that has been calculated with the mudfold function.

Value

returns a data frame with parameters concerning the fit of each item in the scale as well as for the quality of the scale as a whole. The columns of the resulting data frame are the following.

index	: m selected items in the estimated MUDFOLD rank order. In the cell total, information for the total scale is given wherever this is available.
samp.size	: The sample size of the data.
freq	: observed frequency of positive responses.
prop	: observed proportion of positive responses.
std.err	: standard error for the proportion of positive responses.
Obs.err	: observed response errors.
Exp.err	: expected response errors.
Iso	: iso statistic.
Scalab.H	: scalability coefficients.

Author(s)

Spyros E. Balafas (auth.), Wim P. Krijnen (auth.), Wendy J. Post (contr.), Ernst C. Wit (auth.)

Maintainer: Spyros E. Balafas ([e-mail])

References

W.H. Van Schuur.(1984). Structure in Political Beliefs: A New Model for Stochastic Unfolding with Application to European Party Activists. CT Press.

W.J. Post. (1992). Nonparametric Unfolding Models: A Latent Structure Approach. M & T series. DSWO Press.

W.J. Post. and T.AB. Snijders (1993). Nonparametric unfolding models for dichotomous data. Methodika.

Examples

## Not run: 
data(ANDRICH)
fit <- mudfold(ANDRICH)
summary(fit)

## End(Not run)

SpyrosBalafas/mudfold documentation built on May 19, 2019, 2:53 a.m.