get_random_start_values_p

Function written in <code>C++</code> for generating a set of randomly chosen
probabilities for the Assignment Error Matrix.

Routines and tools for assessing the quality of content
analysis on the basis of the Iota Reliability Concept. The concept is
inspired by item response theory and can be applied to any kind of
content analysis which uses a standardized coding scheme and discrete
categories. It is also applicable for content analysis conducted by
artificial intelligence. The package provides reliability measures
for a complete scale as well as for every single category. Analysis of
subgroup-invariance and error corrections are implemented. This
information can support the development process of a coding scheme and
allows a detailed inspection of the quality of the generated data.
Equations and formulas working in this package are part of Berding et
al. (2022)<doi:10.3389/feduc.2022.818365> and Berding and Pargmann
(2022) <doi:10.30819/5581>.

Berding Florian

iotarelr

Iota Inter Coder Reliability for Content Analysis

Pargmann Julia

get_random_start_values_p function

<dl><dt>n_categories</dt>
<dd>Integer for the number of categories in the data. Must be
at least 2.</dd></dl>

Arguments

Generating randomly chosen probabilities for Assignment Error Matrix — get_random_start_values_p

<dl>

<dt>n_categories</dt>
<dd>Integer for the number of categories in the data. Must be
at least 2.</dd>

</dl>

get_random_start_values_p: Generating randomly chosen probabilities for Assignment Error Matrix

Description

Usage

Value

Arguments