anxiety

Simulated data from three raters rating the anxiety of 20 individuals. The codings
range from 1 (no anxiety) to 6 (extremely anxious). The data are forked directly
from the <a href="https://cran.r-project.org/package=irr">irr package</a>, with the only difference being the shape of the dataset.

datasets

Provides researchers with a simple set of diagnostic tools for monitoring the progress and reliability of raters conducting content coding tasks. Goehring (2024) <https://bengoehring.github.io/improving-content-analysis-tools-for-working-with-undergraduate-research-assistants.pdf> argues that supervisors---especially supervisors of small teams---should utilize computational tools to monitor reliability in real time. As such, this package provides easy-to-use functions for calculating inter-rater reliability statistics and measuring the reliability of one coder compared to the rest of the team.

Benjamin Goehring

Monitoring Rater Reliability

anxiety function

## `anxiety`
A data frame with 60 rows and 3 columns:<dl>
 <dt>subject_id</dt>
<dd>The subject being screened for anxiety (numeric).</dd> <dt>rater_id</dt>
<dd>The rater evaluating the subject for anxiety (numeric).</dd> <dt>anxiety_level</dt>
<dd>The level of anxiety observed in the subject by the rater (numeric).</dd>
</dl>

Format

Simulated data from three raters rating the anxiety of 20 individuals. The codings
range from 1 (no anxiety) to 6 (extremely anxious). The data are forked directly
from the <a href='https://cran.r-project.org/package=irr'>irr package</a>, with the only difference being the shape of the dataset.

Anxiety ratings — anxiety

## `anxiety`
A data frame with 60 rows and 3 columns:<dl>
 <dt>subject_id</dt>
<dd>The subject being screened for anxiety (numeric).</dd>

 <dt>rater_id</dt>
<dd>The rater evaluating the subject for anxiety (numeric).</dd>

 <dt>anxiety_level</dt>
<dd>The level of anxiety observed in the subject by the rater (numeric).</dd>


</dl>

anxiety: Anxiety ratings

Description

Usage

Arguments

Format