payout_matrix

This data set contains the payout information for each subject.

datasets

Jointly model the accuracy of cognitive responses and item choices
within a Bayesian hierarchical framework as described by Culpepper and
Balamuta (2015) <doi:10.1007/s11336-015-9484-7>. In addition, the package
contains the datasets used within the analysis of the paper.

James Balamuta

cIRT

Choice Item Response Theory

Steven Andrew Culpepper

James Joseph Balamuta

payout_matrix function

A data frame with 252 observations on the following 4 variables.<dl>
<dt><code>Participant</code></dt>
<dd>Subject ID</dd><dt><code>cum_sum</code></dt>
<dd>Sum of all payouts</dd><dt><code>num_correct_choices</code></dt>
<dd>Total number of correct choices (out of 15)</dd><dt><code>num_correct_trials</code></dt>
<dd>Total number of correct trials (out of 30)</dd>
</dl>

Format

Steven Andrew Culpepper and James Joseph Balamuta

Author

Payout Matrix Data — payout_matrix

A data frame with 252 observations on the following 4 variables.<dl>
<dt><code>Participant</code></dt>
<dd>Subject ID</dd>

<dt><code>cum_sum</code></dt>
<dd>Sum of all payouts</dd>

<dt><code>num_correct_choices</code></dt>
<dd>Total number of correct choices (out of 15)</dd>

<dt><code>num_correct_trials</code></dt>
<dd>Total number of correct trials (out of 30)</dd>


</dl>

payout_matrix: Payout Matrix Data

Description

Usage

Arguments

Format

Author