This week we talk about the uses of a crosstabulation (crosstabs) and the benefits of creating this “snapshot” of your data.

For this forum, provide a brief introduction to your study to remind your classmates what we are reading about here. Include:

1. Your overall research question
2. The research hypothesis and null hypothesis

Next, create a crosstab for your data and include it in the post. Be sure to explain your findings, including a description of the data, a calculation of the epsilons, and a discussion of the 10% rule. The epsilons in short are the differences between the highest and lowest column % in any given row. As long as one epsilon makes the 10% threshold, we’ll deem two variables have “enough” going on to with each other to warrant further statistical analysis.

Special note:

When a variable is continuous (interval/ratio level of measurement), for example, age of respondent, we do not run crosstabs directly b/c it will result in a really spread-out table with lot of 0s and low frequency cells. Such a crosstab does not help us understand the data.

The correct way is to reduce the level of measurement to either ordinal level or nominal level (group the numbers into categories) and then run the cross table. You do this by recoding (as you demonstrated in Assignment 1). In this way, your crosstabs will help us better understand data. Here is another example of recoding in a video.

******I will include attachments that show my research question and previous work (Donald_soci332_A1), variables of choice (satjob1 and happy), a zip file labeled (job and happiness) from gss. I have also attached how to documents that are strictly examples.