This analysis method allows the user to analyse data collected using the text highlighter question type. The text highlighter analysis is a tool that visually represents the most frequently selected sentences in a text based on applied labels. It provides a word cloud to showcase these sentences and includes a table that displays the frequency of selected sentences along with any associated remarks for each sentence. This analysis helps to highlight key information and insights within the text.
The text highlighting is a novel method for explicit attitude measurement. This method leverages the natural, intuitive action of highlighting to gauge participants' attitudes. Participants are shown a piece of text and are asked to use highlighting functions to indicate parts of the text.
The responses from each participant are
captured, recording the selection made for each word/sentence block. This
method stands out not only for its simplicity and familiarity but also for its
potential to increase engagement and provide a more nuanced understanding of
participant attitudes.