data.mc: Simulated Multiple-Choice Item Response Data
In IRTC: Marginal Maximum Likelihood Estimation for Item Response Models
data.mc R Documentation
Simulated Multiple-Choice Item Response Data
Description
A simulated dataset of multiple-choice item responses provided in both raw and
scored form, provided as an example dataset for IRTC.
Usage
data(data.mc)
Format
A list with two components:
- raw
A character matrix (143 persons x 30 items) of raw multiple-choice
responses coded "A"–"D", with "9" denoting an omitted or
not-reached response.
- scored
A data frame of the corresponding dichotomously scored (0/1)
responses, where 1 marks the keyed (correct) option.
Details
Correctness was simulated under a Rasch model; raw responses were then built
from a randomly assigned answer key with distractors drawn at random. The
generating script is ‘scripts/gen_data.R’ in the package sources.
Source
Simulated by IRTC. See ‘scripts/gen_data.R’ in the package
sources for the reproducible generating code.
IRTC documentation built on July 24, 2026, 5:07 p.m.
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| data.mc | R Documentation |
Simulated Multiple-Choice Item Response Data
Description
A simulated dataset of multiple-choice item responses provided in both raw and scored form, provided as an example dataset for IRTC.
Usage
data(data.mc)Format
A list with two components:
- raw
A character matrix (143 persons x 30 items) of raw multiple-choice responses coded
"A"–"D", with"9"denoting an omitted or not-reached response.- scored
A data frame of the corresponding dichotomously scored (0/1) responses, where 1 marks the keyed (correct) option.
Details
Correctness was simulated under a Rasch model; raw responses were then built from a randomly assigned answer key with distractors drawn at random. The generating script is ‘scripts/gen_data.R’ in the package sources.
Source
Simulated by IRTC. See ‘scripts/gen_data.R’ in the package sources for the reproducible generating code.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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