discursive (version 0.1.1)

discursive_constraint: Compute the constraint component of discursive sophistication

Description

This function takes a data frame (data) containing a set of open-ended responses (openends) and a dictionary to identify terms that signal a higher level of constraint between different considerations (usually conjunctions and exclusive words). It returns a numeric vector of dictionary counts re-scaled to range from 0 to 1. See Kraft (2023) for details.

Usage

discursive_constraint(data, openends, dictionary, remove_duplicates = FALSE)

Value

A numeric vector with the same length as the number of rows in data.

Arguments

data

A data frame.

openends

A character vector containing variable names of open-ended responses in data.

dictionary

A character vector containing dictionary terms to flag conjunctions and exclusive words. May include regular expressions.

remove_duplicates

Logical. If TRUE duplicates in dictionary are removed.

Examples

discursive_constraint(data = cces,
                      openends = c(paste0("oe0", 1:9), "oe10"),
                      dictionary = dict_sample)