lordif (version 0.1-2)

plotMC: plots Monte Carlo output

Description

generate plots for Monte Carlo output

Usage

plotMC(obj, mfrow = c(3, 1), cexp = 1.0)

Arguments

obj

output object from lordif

mfrow

number of rows and columns per page for multi-fane plots

cexp

character expansion factor, e.g., cexp=2 for two times a normal size

Value

• Returns no object.

Details

Generates the following graphs: 1. thresholds for Chi-square probability for Model 1 vs. 2 2. thresholds for Chi-square probability for Model 1 vs. 3 3. thresholds for Chi-square probability for Model 2 vs. 3 4. pseudo R-square change from Model 1 to 2 5. pseudo R-square change from Model 1 to 3 6. pseudo R-square change from Model 2 to 3 7. proportional beta change from Model 1 to 2

References

Choi, S. W., Gibbons, L. E., & Crane, P. K. (April, 2009). Development of freeware for an iterative hybrid ordinal logistic regression/IRT DIF. Paper Presented at the National Council of Measurement in Education. San Diego, CA.

See Also

lordif

Examples

##run lordif first
age.dif <- lordif(Anxiety[paste("R",1:29,sep="")],Anxiety$age)
plotDIF(age.dif,labels=c("Younger","Older"))
age.dif.MC <- montecarlo(age.dif,alpha=.05,nr=500)
plotMC(age.dif.MC,mfrow=c(1,1))