This site requires Javascript to be turned on. Please enable Javascript and reload the page.

Sexual Assault Prevention at the University of Michigan Main Menu SAPAC Posters Pedagogical Materials Student Athlete Surveys Survey Responses Following SAPAC Workshops SAPAC/Athletic Collection Collaboration Training Outline for "Violence Against Women" Volunteer Training Manuals Volunteer Training Manuals About Background Information and Scope Resources SAPAC Contact Information

SAPAC Surveys from Golf

24337 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.

This page has tags:

Survey Wordclouds Gianna May Sanchez
Contents of this tag:
1. All SAPAC Surveys Wordcloud
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.