ds_mcf {dualScale}R Documentation

Forced multiple choice data analysis

Description

Forced multiple choice data analysis

Usage

ds_mcf(input, crit, solutions = NULL, mode = c("rad", "act"))

Arguments

input

A data set with valid data

crit

Used to determine a criterion item for forced classification analysis

solutions

Optional argument. A number of intended solutions

mode

Correction mode to incorrect data.

Details

There are three types of outputs: Forced classification of the criterion item (type A); dual scaling of non-criterion items by ignoring the criterion item (type B); dual scaling of non-criterion items after eliminating the influence of the criterion item (type C). These three types correspond to, respectively, dual scaling of data projected onto the subspace of the criterion item, dual scaling of non-criterion items, and dual scaling of data in the complementary space of the criterion item.

Value

call

Call with all of the specified arguments are specified by their full names

orig_data

Initial data

crit_item

The criterion item for forced classification

item_op_lbl

Item options labels

sub_lbl

Subjects options labels

solutions_mcf

Maximum possible solutions for forced multiple choice

solutions_mc

Maximum possible solutions for multiple choice

info_\emph{x}

Distribution of component information according to output

out_\emph{x}

Results obtained according to output

item_stat_\emph{x}

Item statistics according to output (Not type C)

rij_\emph{x}

Inter item correlation according to output (Not type C)

proj_opt_\emph{x}

Projected option weights according to output

proj_sub_\emph{x}

Projected subject scores according to output

norm_opt_\emph{x}

Normed option weights according to output

norm_sub_\emph{x}

Normed subject scores according to output

match_missmatch

Match-mismatch tables

predict

Percentage of correct classification

comp_cont

Component contamination

tot_cont

Total contamination

See Also

ds_mc_check()

Examples

ds_mcf(singaporean, crit = 1)

[Package dualScale version 1.0.0 Index]