Explain your outputs in no more than 5 sentences for each variable.

Published by Jeannie R. Ferrell

Nov 18, 2022

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The discussion prompt is a mini-assignment where students post statistical analyses conducted via SPSS. The instructor then gives feedback within the discussion as a response post. Once feedback is given, students are able to make corrections (if needed) within response posts to the instructor’s feedback. If no corrections are needed, students should respond and acknowledge they have read the instructor’s feedback.
Initial Discussion posts are due Wednesday. All interaction and corrections should be completed by Sunday. There is no interaction with peers. The responses are only visible to each individual student and the instructor. Initial posts should be thorough, completing all tasks given in the discussion prompt. All posts should demonstrate college-level writing skills. You can review the general Discussion Guidelines here as well.
Now that you have imported GSS 2018 dataset into your SPSS and have learned how to use SPSS or the GSS data explorer to find out GSS variable information, you are going to create and post a frequency table, chart, and descriptives table (central tendency/dispersion) of your variables. Complete the following steps:
1. Give your discussion a unique title specific to your study/variables. Post a brief explanation of your topic which includes a bit of information about your variables: level of measurement, answer categories (yes/no, strongly agree, disagree, etc.), as well as the survey question used to collect data for this particular variable (refer to Discussion 1).
2. Include a frequency table for each of your variables. Explain your outputs in no more than 5 sentences for each variable. Cite numbers in the outputs to support your conclusion. When you cite %, use the % reported in “valid percent” column.
3. Describe the measures of central tendency (mean, median, mode) and dispersion (variance, standard deviation) for each of your variables. Based on what you have learned in the readings and lessons this week, identify the best measures for each variable and explain what they tell us. What do these measures summarize for us about the variable’s data?
4. Presenting your data in graphic form is also important when conducting quantitative research. Based on what you have learned from the reading and the weekly lesson, create a graphic representation of your data. Your choice of graphing tool is purely based on a variable’s level of measurement. Explain your outputs for each variable. It is OK if your explanation is similar to (but not the same as) the frequency table interpretation, since a chart is a different data presentation on the SAME variable. Cite numbers in the outputs to support your conclusion.
5. Copy all of the frequency tables and charts into the discussion window or into a document (PDF, MS Word) and attach to discussion. If your table/chart does not fit to the page, choose “copy special” and then “images” or take a screen shot of the table/chart. Paste images to a Word document.

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