findings report

1. Introduction (1-2 paragraphs)–Explain your research. What is the exigence for your research? Why is your research necessary? What is your key intervention?

1. Methodology (2-4 paragraphs)–Explain your methodology in detail.(If a survey: What platform did you use? How many questions? What kinds of questions? To whom did you send it? Via what platforms or means? On what dates? How many days was your survey out? Etc.)? Who were your participants (demographic data should appear here)? 

1. Findings (4-6 paragraphs)–Your findings section should highlight important or key findings. Your findings section MUST include visuals. These visuals should be used to explain major findings. Findings sections should tell a story. What are the major takeaways? 

1. All visuals should be clearly labeled with titles. All visuals must be large enough to easily read. Graphs should have their axes labeled. All tables, graphs, charts, etc. that show up in the body of the findings report should receive a number. Some visuals included in the body of your paper may also appear in your appendices.. Make sure to cross reference them. For instance: Figure 1 (see also Appendix D).

1. All visuals included in the body of your paper should be referred to in the body of your paper. For instance: As shown by Figure 3, the majority of women surveyed at Penn State love the taste of blood, as compared to a minority of men.

1. All data that you collect needs to receive its own appendix. All appendices receive their own letter.  For instance, if you sent out an advertisement for your study, conducted two surveys with three questions a piece, and conducted three interviews, your appendices might look something like this:

1. Appendix A: Advertisement
2. Appendix B: Survey 1-All Survey Questions
3. Appendix C: Survey 1-Question 1: What is your gender? (with visual representation of reponses)
4. Appendix D: Survey 1-Question 2: Do you like the taste of blood? (with visual representation of responses)
5. Appendix E: Survey 1-Question 3: What shape is the Earth? (with visual representation of reponses)
6. Appendix F: Survey 2–All Survey Questions
7. Appendix G: Survey 2-Question 1: What is your gender? (with visual representation of responses)
8. Appendix H: Survey 2-Question 2: After watching a video on blood-borne pathogens, do you like the taste of blood more, about the same, or less? (with visual representation of responses)
9. Appendix I: Survey 2-Question 3: After watching a video about the earth being a quadrilateral, do you think the earth is round, flat, a quadrilateral, or another shape? (with visual representation of responses)
10. Appendix J: Interview Questions
11. Appendix K: Interview Questions and Answers for Interviewee #1
12. Appendix L: Interview Questions and Answers for Interview #2
13. Appendix M: Interview Questions and Answers for Interview #3
14. Several additional appendices that compare data across demographics

7. You must compare data across different demographics. For instance, pretend you created a survey that asked the following demographic questions: gender, race, and religion. For gender, respondents identified as female and male; for race, respondents were white and Latinx, and for religion, respondents were Christian, Jewish, and Muslim. In addition to the demographic data, your survey asked one dichotomous question: Do you like apples? You might analyze some of the following:

1. The percentage of respondents who like apples
2. The percentage of women who like apples compared to the percentage of men who like apples.
3. The percentage of white people versus the amount of Latinx people who like apples
4. The percentage of Christians versus the percentage of Jewish people who like apples versus the percentage of Muslims who like apples 
5. The differences between preferences for apples amongst Latinx women, white women, Latinx men, and white men
6. The differences between preferences for apples amongst Latinx Muslims, Latinx Christians,  Latinx Jews, white Muslims, white Christians, and white Jews
7. The differences between preferences for apples amongst Latinx female Muslims, Latinx female Christians, Latinx female Jews, Latinx male Muslims, Latinx male Christians, Latinx male Jews, white female Muslims, white female Christians, white female Jews, white male Muslims, white male Christians, and white male Jews
8. etc. etc. etc. 

8. If you have multiple, complementary surveys or interviews, you need to compare results across surveys or interviews (only do this if the comparisons would be relevant).

9. All appendices must be cross-referenced in your findings report. You can cross-reference many appendices at once. For instance, if you have one survey that includes demographic questions (questions 1-3), dichotomous questions (questions 4-7), Likert scale questions (questions 8-12) and open-ended questions (questions 13-15), and assuming your survey in Appendix A, you may cross-reference your appendices in the following way. I conducted a survey containing 15 questions (see Appendix A). Three of these questions were demographic questions (see Appendices B-D; see also Appendix A) four of these questions were dichotomous questions (see Appendices E-H; see also Appendix A), five of these questions used the Likert scale (see Appendices I-M; see also Appendix A) and three of these questions were open-ended (see Appendices N-P; see also Appendix A).

10. All appendices dealing with quantitative data should contain a visual. Qualitative data may also be represented by a visual, but will need to be, in any instance, carefully and clearly organized.

11. If appendices exceed 26, begin again at the start of the alphabet, but repeat letters twice. For instance, AA, BB, CC. If the number of appendices exceeds 54, start again at the beginning of the alphabet, but repeat letters three times. For instance, AAA, BBB, CCC.  Etc., ad infinitum. 

12. This is an English class, not a math or statistics class.  That being said, the analysis of your data needs to be correct. While I expect individuals and groups to do all of their own writing, others may assist with analysis portions.If you have a friend, family member, acquaintance, etc. who is good at data analysis, they may help you. However, they must be credited in the methodology section. Santa Claus worked with me to determine P-values. Of course, students should produce all of their own visuals. 

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