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.
The research topic is: Does SEX/Gender affect marital happiness?
2. The research hypothesis and null hypothesisNext, 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 (See Week 3 Optional Forum). In this way, your crosstabs will help us better understand data. Here
is another example of recoding in a video: https://www.youtube.com/watch?v=uzQ_522F2SM