Thursday, November 13, 2014

spss output for presentation


That is a link to the tables, in order of presentation.  You can use them to write your presentation script, so you don't have to go to spss and create a table for your presentation.  Also, I will be projecting this document with your tables on it, on the a/v screen, during your classroom presentation.

Presentations occur during classtime, in different locations:

 The 2pm day class will meet on Monday 17th and Wed 19th in Music 160.
  The 7pm night class will meet on Monday 17 in Henry Madden Library 2206

The time you signed up determines which topic you present.  In the pic below, I circled the topic each person will present:


Those circled topics refer to the row and column variables in spss (and in the linked spss output file above).  Please practice your presentation so it is at least 4 minutes but less than 5 minutes.
We need to stay on schedule so please be prepared.  If you are not ready to present at the beginning of  your assigned time, you will not receive credit.  If you need to supplement your presentation with additional  material beyond the summary of the table, you may discuss quotes that match the table, or you may discuss your positive experience with the project.  Your grade for the presentation will be based on your presentation of the findings form the one table you chose on the signup sheet.  Presentations that can accurately summarize the table with sufficient detail, summarize your positive experience with the project, and give some quotes that match the table, will be given 120% for the presentation.  If you go over 5 minutes, your score will be penalized.  As long as you have 3 minutes your score will not be penalized for length.

To interpret the table, do the same as you did for the quantitative paper:


Discuss the P values (.05 or less means there is a statistically significant relationship between the two variables in the table), use the standardized residuals to find the two most important rows, and interpret the most important standardized residuals (look for highest positive and lowest negative -- positive is more than we expected and negative is less than we expected), then read across those most important rows and compare the percentages for each group in the row.  Then summarize the overall findings in the table without using numbers.   Then make a guess about why you found what you found.

If you are unsure if you have interpreted your table correctly, you are welcome to writeup your presentation script and send it to me via email and I can give you comments.

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