Research Project – Analyzing the Results

Let’s look at the results of your survey. Log into Qualtrics.


Now that we know a bit more about how to conduct a simple statistical analysis using Qualtrics, we can begin to analyze the results of our own study.

  1. What is the total number of respondents?
  2. If you sent out 100 emails. What is your response rate?
  3. How many are males/ females? What is this in percentages?
  4. What percentage of the respondents are Republicans, Democrats, Independents, and Unaffiliated?
  5. What is the distribution of ethnicities?
  6. What is their mean age?
  7. What is the distribution of frequencies for their ideological orientation?
  8. Let’s compare means: What is the average (mean) age of males? What is the average (mean) age of females?
  9. Let’s start by looking at the Freq. for those who have had an issue with addiction. How many people answered yes? What percentage of the all respondents is this?
    Now, let’s see if there is a difference by Sex.
    Provide the percentages for Sex by Addiction: What percentage of males have had an issue with addiction? What percentage of females have had an issue with addiction?
  10. Now, look at your own dependent variable. First calculate the Freq. Then the mean. Then create a crosstab with your DV and IV. remember to put the DV in the column and the IV in the row. Also  be sure to select row percentage.

You will now write a report based on the analysis of the survey data.  You may pull from previous assignments as needed. Your report should contain the following sections (use subheadings to demarcate the sections):

1. INTRODUCTION – A simple introduction of about 250 words. Provide a brief background on this topic and why it is of interest. Use the GSS data to introduce and frame your own research (ie report the statistics from the GSS). Then, pose your hypothesis.

2. CHARACTERISTICS OF THE RESPONDENTS – provide a brief summary (about 250 – 500 words) of the demographics of the respondents. This should include their average age, sex distribution, ethnicities, working or not, etc. Use at least one simple table to help explain the data.

3. FINDINGS – the first subsection of your findings should be a summary of the descriptive statistics for your questions (250 – 500 words). You should provide 2-3 simple tables to illustrate.
The next subsection should test your hypothesis. This may involve a comparison of means, a crosstabulation, or other comparative statistical analysis (another 250 to 500 words). Again you should use 1-2 tables to support.

BONUS – Look for other variables that better explain your findings or challenge your findings. See if any of the other questions will prove better than those you posed.

4. DISCUSSIONS AND CONCLUSION – wrap up this brief analysis with a summary of findings, whether your null hypothesis was disproved(supporting your hypothesis), how UNCG students compare to the GSS respondents, and what implications (if any) may be drawn from the data (about 250 to 500 words). Also point out any limitations to the questions or data and what the next step would be in researching this issue.

This entire section should be about 5 pages minimum not counting tables (1250 words or more).

Write well!!

Checklist for presenting quantitative data analysis

  • Do the results that you have presented relate to your original research
  • question/s?
  • Have you included all the results you need to support your argument?
  • Have you included results that are not needed?
  • Have you commented on all of the results?
  • Have you used to best presentation of your results (tables, graphs,
  • diagrams, words)
  • Have you labelled all of your tables and figures?
  • Have you referred to all your tables and figures in the main text? If not, do
  • you really need them?
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