Description Usage Arguments Details Value Author(s) See Also Examples
Classicial Item Analysis for Multiple-Choice Test Items
1 |
data |
a data frame with N rows and m columns, with N denoting the number of subjects and m denoting the number of items. |
key |
a vector of answer key with a length of m |
options |
a vector of response options for the test such as c("A","B","C","D") |
ngroup |
number of score groups to be use for plotting the item trace lines |
correction |
TRUE or FALSE. If it is TRUE, then an adjustment is made for point-biserial correlation. |
To be added later.
plots |
a list object storing the item trace line plots for each item |
Cengiz Zopluoglu
ITEMAN2
for classical item analysis of polytomously scored items
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | require(ITEMAN)
data(dichotomous)
head(dichotomous)
str(dichotomous)
# Key response vector
key <- c("A","D","C","B","C","B","C","D","A","D","C","A","D","C","A",
"B","D","B","A","C","A","A","C","B","C","B","D","A","A","A",
"C","B","B","A","B","D","D","A","D","C","D","A","B","B","C",
"D","B","C","C","B","D","A","C","B","A","D")
# Use ITEMAN1 function to run the item analysis
item.analysis <- ITEMAN1(data=dichotomous,
key=key,
options=c("A","B","C","D"),
ngroup=20,
correction=FALSE)
item.analysis$plots[[1]] # Item Trace Line for the first item
# item.analysis$plots[[2]] # Item Trace Line for the second item
# item.analysis$plots[[3]] # Item Trace Line for the third item
# item.analysis$plots[[4]] # Item Trace Line for the fourth item
# item.analysis$plots[[5]] # Item Trace Line for the fifth item
# item.analysis$plots[[6]] # Item Trace Line for the sixth item
# item.analysis$plots[[7]] # Item Trace Line for the seventh item
# item.analysis$plots[[8]] # Item Trace Line for the eigth item
# item.analysis$plots[[9]] # Item Trace Line for the ninth item
# item.analysis$plots[[10]] # Item Trace Line for the tenth item
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