distractor.analysis: Function for item distractor analysis
In CTT: Classical Test Theory Functions

Description Usage Arguments Details Value Author(s) References See Also Examples

This function is deprecated. Use distractorAnalysis for a more complete distractor analysis.

1	distractor.analysis(items, key, scores, p.table = FALSE, write.csv)

`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.

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 "*".

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.

John T. Willse, Zhan Shu

Allen, M. J. & Yen, W. M. (1979). Introduction to Measurement Theory. Lon Grove, Illinois: Waveland Press, INC.

distractorAnalysis

# Example data provided with package
data(CTTdata)
data(CTTkey)

distractor.analysis(CTTdata,CTTkey)

# Results provided in a .csv file.
distractor.analysis(CTTdata,CTTkey,p.table=TRUE,write.csv="Hello.csv")