estimateAccuracy: Estimate accuracy for a given solving probability
In m-Py/DOTA2: Discrete option test analysis
Description
Usage
Arguments
Value
Author(s)
Description
This function is the inverse to mc_analytical and
domc_analytical: It determines the accuracy parameter that
corresponds to a given solving probability. Can be used to infer
appropriate accuracy values for empirical data.
Usage
1
2
estimateAccuracy(probability, n_options = NULL, sd_sol = 1, type,
criterionVector = NULL, item = NULL)
Arguments
probability
probability to solve the item correctly (must not
be 1 or 0)
n_options
How many options does the item have
sd_sol
Standard deviation of the solution
distribution. Distractor always has SD of 1
type
either "mc" or "domc"
Value
The estimated accuracy
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 is the inverse to mc_analytical and
domc_analytical: It determines the accuracy parameter that
corresponds to a given solving probability. Can be used to infer
appropriate accuracy values for empirical data.
Usage
1 2 | estimateAccuracy(probability, n_options = NULL, sd_sol = 1, type,
criterionVector = NULL, item = NULL)
|
Arguments
probability |
probability to solve the item correctly (must not be 1 or 0) |
n_options |
How many options does the item have |
sd_sol |
Standard deviation of the solution distribution. Distractor always has SD of 1 |
type |
either "mc" or "domc" |
Value
The estimated accuracy
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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