discursive_range

This function takes a data frame (<code>data</code>) containing a set of open-ended responses (<code>openends</code>) to compute the Shannon entropy in individual response lengths across items. The function returns a numeric vector of topic counts re-scaled to range from 0 to 1. See Kraft (2023) for details.

A simple approach to measure political sophistication based on open-ended survey responses. Discursive sophistication captures the complexity of individual attitude expression by quantifying its relative size, range, and constraint. For more information on the measurement approach see: Kraft, Patrick W. 2023. "Women Also Know Stuff: Challenging the Gender Gap in Political Sophistication." American Political Science Review (forthcoming).

Patrick Kraft

discursive

Measuring Discursive Sophistication in Open-Ended Survey
Responses

discursive_range function

<dl><dt>data</dt>
<dd>A data frame.</dd>
<dt>openends</dt>
<dd>A character vector containing variable names of open-ended responses in <code>data</code>.</dd></dl>

Arguments

Compute the range component of discursive sophistication — discursive_range

<dl>

<dt>data</dt>
<dd>A data frame.</dd>


<dt>openends</dt>
<dd>A character vector containing variable names of open-ended responses in <code>data</code>.</dd>

</dl>

discursive_range: Compute the range component of discursive sophistication

Description

Usage

Value

Arguments

Examples