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Survey Wordclouds

24337 SAPAC/Athletic Collection Collaboration Training Outline for "Violence Against Women"

Wordclouds and data visualization can be a great tool to analyze SAPAC student survey responses. This page features various wordclouds created based on the survey responses that illustrate the frequency of words in various responses (e.g. all men’s responses, all responses from the track teams) using Voyant Tools (http://voyant-tools.org). A description of each wordcloud with a link to the text that was used is available by selecting the images. This analysis of the text is not exclusive and instead serves as an example of the kind of information that can be derived from this online archive.

Our original intention in aggregating SAPAC materials was to provide the opportunity to analyze the rhetoric and language utilized in pedagogical efforts for sexual assault prevention. This collection of wordclouds reflects that original intention and, ideally, will spark interest and inspire further questions about the materials.

This page has paths:

Student Athlete Surveys Nora Dolliver
Contents of this path:
1. Survey Archive
2. Survey Wordclouds

Contents of this tag:

All SAPAC Surveys Wordcloud
SAPAC Surveys from Gymnastics This wordcloud analyzes the frequency of words in all text in the surveys completed by the both the men’s and women’s gymnastics team. Bigger words appear more often to provide a visualization of the data. Certain words that tend to not convey meaning (e.g. “and”) have not been counted, but words implying point of view (e.g. “I”, “we”) are included. You can view the text used for these surveys at http://bit.ly/2jws6q7.
SAPAC Surveys from Football This wordcloud analyzes the frequency of words in all text in the surveys completed by the football team. Bigger words appear more often to provide a visualization of the data. Certain words that tend to not convey meaning (e.g. “and”) have not been counted, but words implying point of view (e.g. “I”, “we”) are included. You can view the text used for these surveys at http://bit.ly/2zarsFA.
SAPAC Surveys from Golf This wordcloud analyzes the frequency of words in all text in the surveys completed by both the male and female golf teams. Bigger words appear more often to provide a visualization of the data. Certain words that tend to not convey meaning (e.g. “and”) have not been counted, but words implying point of view (e.g. “I”, “we”) are included. You can view the text used for these surveys at http://bit.ly/2zKf92c.
SAPAC Surveys from Track and Field This wordcloud analyzes the frequency of words in all text in the surveys completed by both the male and female track teams. Bigger words appear more often to provide a visualization of the data. Certain words that tend to not convey meaning (e.g. “and”) have not been counted, but words implying point of view (e.g. “I”, “we”) are included. You can view the text used for these surveys at http://bit.ly/2jxKSxg.
SAPAC Surveys of Male Athletes This wordcloud analyzes the frequency of words in all text in the surveys completed by male athletes. Bigger words appear more often to provide a visualization of the data. Certain words that tend to not convey meaning (e.g. “and”) have not been counted, but words implying point of view (e.g. “I”, “we”) are included. You can view the text used for these surveys at http://bit.ly/2A4L5z7.
SAPAC Surveys Yellow Highlight This wordcloud analyzes the frequency of words in all text in the surveys that was highlighted yellow by SAPAC staff to tag what they identified as a positive comment. Bigger words appear more often to provide a visualization of the data. Certain words that tend to not convey meaning (e.g. “and”) have not been counted, but words implying point of view (e.g. “I”, “we”) are included. You can view the text used for these surveys at http://bit.ly/2hFPalO.
SAPAC Surveys from Soccer This wordcloud analyzes the frequency of words in all text in the surveys completed by the soccer team. Bigger words appear more often to provide a visualization of the data. Certain words that tend to not convey meaning (e.g. “and”) have not been counted, but words implying point of view (e.g. “I”, “we”) are included. You can view the text used for these surveys at http://bit.ly/2AWK611.
SAPAC Surveys of Female Athletes This wordcloud analyzes the frequency of words in all text in the surveys completed by female athletes. Bigger words appear more often to provide a visualization of the data. Certain words that tend to not convey meaning (e.g. “and”) have not been counted, but words implying point of view (e.g. “I”, “we”) are included. You can view the text used for these surveys at http://bit.ly/2jygeUs.
SAPAC Surveys Blue Highlight This wordcloud analyzes the frequency of words in all text in the surveys that was highlighted blue by SAPAC staff to tag what they identified as a negative comment. Bigger words appear more often to provide a visualization of the data. Certain words that tend to not convey meaning (e.g. “and”) have not been counted, but words implying point of view (e.g. “I”, “we”) are included. You can view the text used for these surveys at http://bit.ly/2zHH7Ma.
SAPAC Surveys from Men’s Tennis This wordcloud analyzes the frequency of words in all text in the surveys completed by the men’s tennis team. Bigger words appear more often to provide a visualization of the data. Certain words that tend to not convey meaning (e.g. “and”) have not been counted, but words implying point of view (e.g. “I”, “we”) are included. You can view the text used for these surveys at http://bit.ly/2AUHyAD.
SAPAC Surveys from Women’s Basketball This wordcloud analyzes the frequency of words in all text in the surveys completed by the women’s basketball team. Bigger words appear more often to provide a visualization of the data. Certain words that tend to not convey meaning (e.g. “and”) have not been counted, but words implying point of view (e.g. “I”, “we”) are included. You can view the text used for these surveys at http://bit.ly/2hxqeZP.