| mea.eq {SNSequate} | R Documentation |
The mean method of equating
Description
This function implements the mean method of test equating as described in Kolen and Brennan (2004).
Usage
mea.eq(sx, sy, scale)
Arguments
sx |
A vector containing the observed scores of the sample taking test |
sy |
A vector containing the observed scores of the sample taking test |
scale |
Either an integer or vector containing the values on the scale to be equated. |
Details
The function implements the mean method of equating as described in Kolen and Brennan (2004). Given observed scores
sx and sy, the functions calculates
\varphi(x;\mu_x,\mu_y)=x-\mu_x+\mu_y
where \mu_x and \mu_y are the score means on test X and Y, respectively.
Value
A two column matrix with the values of \varphi() (second column) for each scale value x (first column)
Author(s)
Jorge Gonzalez jorge.gonzalez@mat.uc.cl
References
Gonzalez, J. (2014). SNSequate: Standard and Nonstandard Statistical Models and Methods for Test Equating. Journal of Statistical Software, 59(7), 1-30.
Kolen, M., and Brennan, R. (2004). Test Equating, Scaling and Linking. New York, NY: Springer-Verlag.
See Also
Examples
#Artificial data for two two 100 item tests forms and 5 individuals in each group
x1<-c(67,70,77,79,65,74)
y1<-c(77,75,73,89,68,80)
#Score means
mean(x1); mean(y1)
#An equivalent form y1 score of 72 on form x1
mea.eq(x1,y1,72)
#Equivalent form y1 score for the whole scale range
mea.eq(x1,y1,0:100)