ker.eq
(Package: SNSequate) :
The Kernel method of test equating
This function implements the kernel method of test equating as described in Holland and Thayer (1989), and Von Davier et al. (2004). Nonstandard kernels others than the gaussian are available. Associated standard error of equating are also provided.
● Data Source:
CranContrib
● Keywords: kernel equating
● Alias: ker.eq, ker.eq.default
●
0 images
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SEED
(Package: SNSequate) :
Standard error of equating difference
This function calculates the standard error of equating diference (SEED) as described in Von Davier et al. (2004).
● Data Source:
CranContrib
● Keywords: kernel equating
● Alias: SEED, SEED.default
●
3 images
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mea.eq
(Package: SNSequate) :
The mean method of equating
This function implements the mean method of test equating as described in Kolen and Brennan (2004).
● Data Source:
CranContrib
● Keywords: Traditional equating methods
● Alias: mea.eq, mea.eq.default
●
0 images
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bandwidth
(Package: SNSequate) :
Automatic selection of the bandwidth parameter code{h
This functions implements the minimization of the combined penalty function described by Holland and Thayer (1989); Von Davier et al, (2004). It returns the optimal value of h for kernel continuization, according to the above mentioned criteria. Different types of kernels (others than the gaussian) are accepted.
● Data Source:
CranContrib
● Keywords: kernel equating
● Alias: bandwidth, bandwidth.default
●
0 images
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gof
(Package: SNSequate) :
Functions to assess model fitting.
This function contains various measures to assess the model's goodness of fit.
● Data Source:
CranContrib
● Keywords: Traditional equating methods
● Alias: gof
●
1 images
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eqp.eq
(Package: SNSequate) :
The equipercentile method of equating
This function implements the equipercentile method of test equating as described in Kolen and Brennan (2004).
● Data Source:
CranContrib
● Keywords: Traditional equating methods
● Alias: eqp.eq, eqp.eq.default
●
0 images
|
loglin.smooth
(Package: SNSequate) :
Pre-smoothing using log-linear models.
This function fits log-linear models to score data and provides estimates of the (vector of) score probabilities as well as the C matrix decomposition of their covariance matrix, according to the specified equating design (see Details).
● Data Source:
CranContrib
● Keywords: smoothing
● Alias: loglin.smooth, loglin.smooth.default
●
1 images
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irt.link
(Package: SNSequate) :
IRT parameter linking methods
The function implements parameter linking methods to transform IRT scales. Mean-mean, mean-sigma, Haebara, and Stocking and Lord methods are available (see details).
● Data Source:
CranContrib
● Keywords: IRT parameter linking
● Alias: irt.link, irt.link.default
●
0 images
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lin.eq
(Package: SNSequate) :
The linear method of equating
This function implements the linear method of test equating as described in Kolen and Brennan (2004).
● Data Source:
CranContrib
● Keywords: Traditional equating methods
● Alias: lin.eq, lin.eq.default
●
1 images
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PREp
(Package: SNSequate) :
Percent relative error
This function calculates the percent relative error as described in Von Davier et al. (2004).
● Data Source:
CranContrib
● Keywords: kernel equating
● Alias: PREp, PREp.default
●
0 images
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