I'm running chi-squared goodness-of-fit tests on answers to a series of questions. I originally had 5 options (Strongly Agree, Agree, Neither Agree nor Disagree, Disagree, Strongly Disagree) but I decided to consolidate the Strongly Agrees with the Agrees and the Strongly Disagrees with the Disagrees.
Here's sample of my original data
N = 56 Observed Expected Strongly Agree 25 11.2 Agree 22 11.2 Neither 7 11.2 Disagree 3 11.2 Strongly Disagree 0 11.2
And here's a sample of when I consolidated. I changed the expected frequencies to reflect that I had originally given 5 options.
N = 56 Observed Expected Agree 47 22.4 Neither 7 11.2 Disagree 3 22.4
My question is: was I correct to double the expected frequencies for the groups that I consolidated? And also do I change my df from 4 to 2 because I technically only have 3 groups instead of 5? Or do I keep it the same?