generate_data_mcq

Facilitates some of the analyses performed in studies of
behavioral economic discounting. The package supports scoring of the 27-Item Monetary Choice
Questionnaire (see Kaplan et al., 2016; <doi:10.1007/s40614-016-0070-9>), calculating k
values (Mazur's simple hyperbolic and exponential) using nonlinear regression, calculating
various Area Under the Curve (AUC) measures, plotting regression curves for both fit-to-group and
two-stage approaches, checking for unsystematic discounting
(Johnson & Bickel, 2008; <doi:10.1037/1064-1297.16.3.264>) and scoring of the
minute discounting task (see Koffarnus & Bickel, 2014; <doi:10.1037/a0035973>) using the
Qualtrics 5-trial discounting template (see the Qualtrics Minute Discounting User Guide;
<doi:10.13140/RG.2.2.26495.79527>), which is also available as a .qsf file in this package.

Brent Kaplan

beezdiscounting

Behavioral Economic Easy Discounting

Brent A. Kaplan

generate_data_mcq function

<dl><dt>n_ids</dt>
<dd>Number of subjectids</dd>
<dt>n_items</dt>
<dd>Number of trials</dd>
<dt>seed</dt>
<dd>Random seed</dd>
<dt>prop_na</dt>
<dd>Proportion of NAs in the entire data set</dd></dl>

Arguments

Generate fake MCQ data — generate_data_mcq

<dl>

<dt>n_ids</dt>
<dd>Number of subjectids</dd>


<dt>n_items</dt>
<dd>Number of trials</dd>


<dt>seed</dt>
<dd>Random seed</dd>


<dt>prop_na</dt>
<dd>Proportion of NAs in the entire data set</dd>

</dl>

generate_data_mcq: Generate fake MCQ data

Description

Usage

Value

Arguments

Examples