get_iota2_measures {iotarelr}R Documentation

Get Iota2 Measures

Description

Function for calculating the elements of the Iota Concept 2

Usage

get_iota2_measures(aem, categorical_sizes, categorical_levels)

Arguments

aem

Assignment Error Matrix.

categorical_sizes

Probabilities for the different categories to occur.

categorical_levels

Vector containing all possible categories of the content analysis.

Value

Returns a list of all measures belonging to the Iota Concept of the second generation. The first component estimates_categorical_level comprises all elements that describe the ratings on a categorical level. The elements are sub-divided into raw estimates and chance-corrected estimates.

raw_estimates
iota:

A vector containing the Iota values for each category.

iota_error_1:

A vector containing the Iota Error Type I values for each category.

iota_error_2:

A vector containing the Iota Error Type II values for each category.

alpha_reliability:

A vector containing the Alpha Reliabilities for each category. These values represent probabilities.

beta_reliability:

A vector containing the Beta Reliabilities for each category. These values represent probabilities.

assignment_error_matrix:

Assignment Error Matrix containing the conditional probabilities for assigning a unit of category i to categories 1 to n.

elements_chance_corrected
alpha_reliability:

A vector containing the chance-corrected Alpha Reliabilities for each category.

beta_reliability:

A vector containing the chance-corrected Beta Reliabilities for each category.

The second component estimates_scale_level contains elements for describing the quality of the ratings on a scale level. It comprises the following elements:

iota_index:

The Iota Index, representing the reliability on a scale level.

iota_index_d4:

The Static Iota Index, which is a transformation of the original Iota Index, in order to consider the uncertainty of estimation.

iota_index_dyn2:

The Dynamic Iota Index, which is a transformation of the original Iota Index, in order to consider the uncertainty of estimation.

References

Florian Berding and Julia Pargmann (2022).Iota Reliability Concept of the Second Generation. Measures for Content Analysis Done by Humans or Artificial Intelligences. Berlin: Logos. https://doi.org/10.30819/5581


[Package iotarelr version 0.1.5 Index]