score_groups: Generate two Score Groups
In iarm: Item Analysis in Rasch Models
score_groups R Documentation
Generate two Score Groups
Description
Creates a grouping variable which divides the sample in two groups (high and low scorers)
of roughly equal size, without taking into account persons with extreme scores.
Usage
score_groups(dat.items, label = FALSE)
Arguments
dat.items
A data frame with the responses to the items.
label
If TRUE the levels of the group factor are named according to the split used,
if FALSE (default) the group factor has levels 1 and 2.
Details
The score groups are used for tests of item homogeneity.
Value
Score group variable, a factor with two levels.
iarm documentation built on Aug. 27, 2022, 5:06 p.m.
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| score_groups | R Documentation |
Generate two Score Groups
Description
Creates a grouping variable which divides the sample in two groups (high and low scorers) of roughly equal size, without taking into account persons with extreme scores.
Usage
score_groups(dat.items, label = FALSE)
Arguments
dat.items |
A data frame with the responses to the items. |
label |
If TRUE the levels of the group factor are named according to the split used, if FALSE (default) the group factor has levels 1 and 2. |
Details
The score groups are used for tests of item homogeneity.
Value
Score group variable, a factor with two levels.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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