You will need IBM statistics. I had to use qualitrics for a survey on sleep and happiness. I had 62 responses and then had to transfer my data into SPSS. My survey had 10 questions from a sleep quality scale and 10 from a happiness scale. Then I had to reverse some of the answers to get the proper sum. I provided my data on SPSS. In data view on SPSS, the sleep and happiness sections are the sums. So that information is what needs a correlation analyses and descriiptive statistics for the presentation. I provided a little sample of this on a word document provided.
The presentation should include your hypotheses, a brief descriiption of the methods, tables and/or graphs related to your findings, and an interpretation of your data. The trick to giving good presentations is distilling your information down into a few bulleted lists, diagrams, tables and graphs.
Introduction (typically 3-4 slides). Explain why your work is interesting. Place the study in
context – how does it relate to / follow from the scientific literature on this subject. If it relates to
any applied issues mention this here. Use some good visuals (photographs, drawings, etc.) to get the audience excited about the issue and questions you are addressing. Clearly state your hypotheses.
Methods (typically 2-3 slides). Clearly summarize the methods used in your study including: Participants, measures, and study design. (I didn’t add a demographics section for my survey).
Results (2 to 4 slides). Present in a concise and clear manner the main findings of your study and include and charts and graphs that provide a visual representation of your findings.
Implications and Conclusions (typically 2-3 slides). Correctly interpret your results. Constructively address sources of error and methodological difficulties. Place your results in context and draw implications from them.
You can talk about previous research and how it compares to your findings.
I provided pictures of my survey, word documents, and SPSS with my data. You just need SPSS for my data.
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