probgpcm

 a vector of theta values (e.g., quadrature points) 

theta

Calculates a matrix of item response probabilities over a grid of theta values for an item

 ~kwd1 

 ~kwd2 

Analysis of Differential Item Functioning (DIF) for
dichotomous and polytomous items using an iterative hybrid of
ordinal logistic regression and item response theory (IRT).

Seung W Choi

lordif

Logistic Ordinal Regression Differential Item Functioning using
IRT

probgpcm function

<dl> <dt>theta</dt>
<dd>a vector of theta values (e.g., quadrature points)</dd> <dt>a</dt>
<dd>a slope parameter value</dd> <dt>cb</dt>
<dd>a vector of category threshold values</dd></dl>

Arguments

Seung W. Choi &lt;choi.phd@gmail.com&gt;

Author

calculates item response probabilities according to GPCM — probgpcm

<dl>

 <dt>theta</dt>
<dd>a vector of theta values (e.g., quadrature points)</dd>

 <dt>a</dt>
<dd>a slope parameter value</dd>

 <dt>cb</dt>
<dd>a vector of category threshold values</dd>

</dl>

probgpcm: calculates item response probabilities according to GPCM

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples