mc_analytical: Probability that a MC item is solved correctly given...
In m-Py/DOTA2: Discrete option test analysis
Description
Usage
Arguments
Value
Author(s)
Description
This function can be used to analytically determine the expected
probability that an MC item is solved correctly, as opposed to the
simulation approach used in workMCItem.
Usage
1
mc_analytical(accuracy, n_options = 4, sd_sol = 1)
Arguments
accuracy
Accuracy value of an assumed test taker
n_options
number of answer options in the MC item
sd_sol
Standard deviation of the solution
distribution. Distractor SD is always 1
Value
The expected probability that the item is solved correctly
Author(s)
Martin Papenberg martin.papenberg@hhu.de
m-Py/DOTA2 documentation built on May 19, 2019, 3 a.m.
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Description Usage Arguments Value Author(s)
Description
This function can be used to analytically determine the expected
probability that an MC item is solved correctly, as opposed to the
simulation approach used in workMCItem.
Usage
1 | mc_analytical(accuracy, n_options = 4, sd_sol = 1)
|
Arguments
accuracy |
Accuracy value of an assumed test taker |
n_options |
number of answer options in the MC item |
sd_sol |
Standard deviation of the solution distribution. Distractor SD is always 1 |
Value
The expected probability that the item is solved correctly
Author(s)
Martin Papenberg martin.papenberg@hhu.de
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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