split_half: Split-half reliability
In cddesja/hemp: Handbook of Educational Measurement and Psychometrics Using R Companion Package
Description
Usage
Arguments
Value
Examples
Description
Calculates split-half reliability either by selecting every other item or by randomly split the items.
Usage
1
split_half(data, type = "alternate", sb = FALSE)
Arguments
data
A data frame
type
Either alternate or random. Default is alternate.
sb
Use the Spearman-Brown correction? Default is FALSE.
Value
The split half reliability is calculated using every other item, if type = "alternate" is specified, or by splitting the instrument in half at random, if type = "random" is specifed. If sb = TRUE, then the Spearman-Brown correction is returned.
Examples
1
2
3
data(SAPA)
split_half(SAPA, type = "alternate")
split_half(SAPA, type = "random")
cddesja/hemp documentation built on April 7, 2021, 9:24 p.m.
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Description Usage Arguments Value Examples
Description
Calculates split-half reliability either by selecting every other item or by randomly split the items.
Usage
1 | split_half(data, type = "alternate", sb = FALSE)
|
Arguments
data |
A data frame |
type |
Either alternate or random. Default is alternate. |
sb |
Use the Spearman-Brown correction? Default is FALSE. |
Value
The split half reliability is calculated using every other item, if type = "alternate" is specified, or by splitting the instrument in half at random, if type = "random" is specifed. If sb = TRUE, then the Spearman-Brown correction is returned.
Examples
1 2 3 | data(SAPA)
split_half(SAPA, type = "alternate")
split_half(SAPA, type = "random")
|
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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