rasch_split_age

Split all survey items by age category for a Rasch Model if they are not discrete

The Model Disability Survey (MDS) <https://www.who.int/activities/collection-of-data-on-disability> is a World Health Organization (WHO) general population survey
instrument to assess the distribution of disability within a country or
region, grounded in the International Classification of Functioning,
Disability and Health <https://www.who.int/standards/classifications/international-classification-of-functioning-disability-and-health>. This package provides fit-for-purpose functions
for calculating and presenting the results from this survey, as used by
the WHO. The package primarily provides functions for implementing
Rasch Analysis (see Andrich (2011) <doi:10.1586/erp.11.59>) to
calculate a metric scale for disability.

Lindsay Lee

whomds

Calculate Results from WHO Model Disability Survey Data

Carolina Fellinghauer

World Health Organization 

rasch_split_age function

<dl><dt>df</dt>
<dd>a data frame of individual survey data, where each row is an individual</dd>
<dt>vars_group</dt>
<dd>a string with the column name identifying grouping variable</dd>
<dt>vars_metric</dt>
<dd>a character vector of items to use in the Rasch Analysis</dd>
<dt>vars_id</dt>
<dd>a string with column name uniquely identifying individuals</dd>
<dt>max_values</dt>
<dd>a tibble with two columns, <code>var</code> equivalent to <code>vars_metric</code> and <code>max_val</code> with their corresponding maximum possible values</dd></dl>

Arguments

Split all survey items by age category for a Rasch Model if they are not discrete — rasch_split_age

<dl>

<dt>df</dt>
<dd>a data frame of individual survey data, where each row is an individual</dd>


<dt>vars_group</dt>
<dd>a string with the column name identifying grouping variable</dd>


<dt>vars_metric</dt>
<dd>a character vector of items to use in the Rasch Analysis</dd>


<dt>vars_id</dt>
<dd>a string with column name uniquely identifying individuals</dd>


<dt>max_values</dt>
<dd>a tibble with two columns, <code>var</code> equivalent to <code>vars_metric</code> and <code>max_val</code> with their corresponding maximum possible values</dd>

</dl>

rasch_split_age: Split all survey items by age category for a Rasch Model if they are not discrete

Description

Usage

Value

Arguments

See Also