toydata: A Toy Example of 1000 Respondents Working on a Multistage...
In mstDIF: A Collection of DIF Tests for Multistage Tests
toydata R Documentation
A Toy Example of 1000 Respondents Working on a Multistage Test
Description
Data of 1000 respondents working on a multistage test using a (1,2,2) design. The responses were generated
based on the 2PL model. Each module consists of 7 items. Data were generated using the mstR package, version 1.2
(https://cran.r-project.org/web/packages/mstR/index.html).
Usage
toydata
Format
A list with 7 elements:
- resp
The response matrix, with rows corresponding to respondents and columns corresponding to items.
- it
A matrix of item parameters. The columns contain the discrimination, difficulty, pseudo-guessing and
inattention parameters of the 4PL model. The discrimination parameters were drawn from a N(1,0.2) distribution.
The difficulty parameters were drawn from normal distributions. For module 1 (items 1-7), this distributions was N(0,1),
for modules 2 and 4 (items 8-14 and 22-28) it was N(1,1) and for modules 3 and 5 (items 15-21 and 29-35)
the distribution was N(-1,1).
- theta
The true ability parameters.
- theta_est
The ability parameters estimated by the WLE estimator.
- group_categ
A simulated categorical person covariate. The first 500 respondents belong to group 0, the remaining 500
respondents to group 1.
- group_cont
A simulated continuous person covariate. It simulates an age covariate, with a uniform distribution between
20 and 60.
- see_est
The standard errors of the estimated ability parameters.
mstDIF documentation built on Dec. 2, 2022, 5:10 p.m.
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| toydata | R Documentation |
A Toy Example of 1000 Respondents Working on a Multistage Test
Description
Data of 1000 respondents working on a multistage test using a (1,2,2) design. The responses were generated based on the 2PL model. Each module consists of 7 items. Data were generated using the mstR package, version 1.2 (https://cran.r-project.org/web/packages/mstR/index.html).
Usage
toydata
Format
A list with 7 elements:
- resp
The response matrix, with rows corresponding to respondents and columns corresponding to items.
- it
A matrix of item parameters. The columns contain the discrimination, difficulty, pseudo-guessing and inattention parameters of the 4PL model. The discrimination parameters were drawn from a N(1,0.2) distribution. The difficulty parameters were drawn from normal distributions. For module 1 (items 1-7), this distributions was N(0,1), for modules 2 and 4 (items 8-14 and 22-28) it was N(1,1) and for modules 3 and 5 (items 15-21 and 29-35) the distribution was N(-1,1).
- theta
The true ability parameters.
- theta_est
The ability parameters estimated by the WLE estimator.
- group_categ
A simulated categorical person covariate. The first 500 respondents belong to group 0, the remaining 500 respondents to group 1.
- group_cont
A simulated continuous person covariate. It simulates an age covariate, with a uniform distribution between 20 and 60.
- see_est
The standard errors of the estimated ability parameters.
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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