mea.eq | R Documentation |
This function implements the mean method of test equating as described in Kolen and Brennan (2004).
mea.eq(sx, sy, scale)
sx |
A vector containing the observed scores of the sample taking test X. |
sy |
A vector containing the observed scores of the sample taking test Y. |
scale |
Either an integer or vector containing the values on the scale to be equated. |
The function implements the mean method of equating as described in Kolen and Brennan (2004). Given observed scores sx and sy, the functions calculates
phi(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.
A two column matrix with the values of phi() (second column) for each scale value x
(first column)
Jorge Gonzalez jorge.gonzalez@mat.uc.cl
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.
lin.eq
, eqp.eq
, ker.eq
, le.eq
#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)
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