# Function for item distractor analysis

### Description

This function performs distractor analysis for each item.

### Usage

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

### Arguments

`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 "*".

### Value

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.

### Author(s)

John T. Willse, Zhan Shu

### References

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

### Examples

1 2 3 4 5 6 7 8 |

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