getcutoff

 a vector containing statistics sampled from a Monte Carlo simulation 

stat

 a p-value specifying the quantile of the statistics to be determined, e.g., (alpha x 100)th percentile 

alpha

 if TRUE, the quantile is determined by (1-alpha) 

reverse

Determines an empirical cutoff value for statistics generated from a Monte Carlo simulation.

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

getcutoff function

<dl> <dt>stat</dt>
<dd>a vector containing statistics sampled from a Monte Carlo simulation</dd> <dt>alpha</dt>
<dd>a p-value specifying the quantile of the statistics to be determined, e.g., (alpha x 100)th percentile</dd> <dt>reverse</dt>
<dd>if TRUE, the quantile is determined by (1-alpha)</dd></dl>

Arguments

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

Author

determines a cutoff threshold — getcutoff

<dl>

 <dt>stat</dt>
<dd>a vector containing statistics sampled from a Monte Carlo simulation</dd>

 <dt>alpha</dt>
<dd>a p-value specifying the quantile of the statistics to be determined, e.g., (alpha x 100)th percentile</dd>

 <dt>reverse</dt>
<dd>if TRUE, the quantile is determined by (1-alpha)</dd>

</dl>

getcutoff: determines a cutoff threshold

Description

Usage

Value

Arguments

Author

Details

See Also

Examples