splitrel {AATtools}  R Documentation 
Split HalfBased Reliability Coefficients
Description
Split HalfBased Reliability Coefficients
Usage
SpearmanBrown(
corr,
ntests = 2,
fix.negative = c("none", "nullify", "bilateral")
)
FlanaganRulon(x1, x2, fix.negative = c("none", "nullify", "bilateral"))
RajuCoefficient(x1, x2, prop, fix.negative = c("none", "nullify", "bilateral"))
Arguments
corr 
Tobecorrected correlation coefficient 
ntests 
An integer indicating how many times larger the full test is, for which the corrected correlation coefficient is being computed.
When 
fix.negative 
Determines how to deal with a negative value. "nullify" sets it to zero, "bilateral" applies the correction as if it were a positive number, and then sets it to negative. "none" gives the raw value. It should be noted that negative values are not supposed to occur, and there is no commonly accepted way to deal with them when they do occur. 
x1 
scores from half 1 
x2 
scores from half 2 
prop 
Proportion of the first half to the complete sample 
Value
SpearmanBrowncorrected correlation coefficient.
Functions

SpearmanBrown()
: Perform a SpearmanBrown correction on the provided correlation score. 
FlanaganRulon()
: Compute the true reliability using the FlanaganRulon formula, which takes into account inequal variances between split halves. 
RajuCoefficient()
: Compute splithalf reliability using the Raju formula, which takes into account unequal splithalves and variances.
See Also
Examples
SpearmanBrown(.5)
FlanaganRulon(a<rnorm(50),rnorm(50)+a*.5,fix.negative="bilateral")
a<rnorm(50)
b<rnorm(50)+a*.5
RajuCoefficient(a,b,prop=.4,fix.negative="bilateral")