items: The unscored item response from a multiple-choice test
key: The answer key for the items
scores: An optional set of person scores associated with the item data. If scores are not provided (default) the scores are calculated using the item data and key.
p.table: If p.table=FALSE (the default) the function returns the counts of examinees who provide each answer. If p.table=TRUE the function returns the proportion of examinees who provide each answer.
write.csv: If the optional file name is provided the function will save a .csv file with the results.
Details
The scores are used to split respondents into terciles. The number (or proportion if p.table=TRUE) of examinees in each tercile giving each response is reported. The correct answer is indicated with an "*".
Returns
If p.table=F counts of respondents in each tercile who chose each answer is returned as a list of tables. Each item is a separate element in the list. If p.table=T the tables contain the proportion of respondents who chose each corresponding answer.
References
Allen, M. J. & Yen, W. M. (1979). Introduction to Measurement Theory. Lon Grove, Illinois: Waveland Press, INC.
Author(s)
John T. Willse, Zhan Shu
See Also
distractorAnalysis
Examples
# Example data provided with packagedata(CTTdata)data(CTTkey)distractor.analysis(CTTdata,CTTkey)# Results provided in a .csv file.distractor.analysis(CTTdata,CTTkey,p.table=TRUE,write.csv="Hello.csv")