Chi-Square Tests and meeting the assumptions

[sandbrag]

Hello all,
I've been struggling for days now to make sense of my survey using Chi-square. I have added up the values within my likert scale to reflect the sum of motivation and when I compare the motivation to any other variable in my study, I do not meet the assumption that appears below SPSS (a. 72 cells (96.0%) have expected count less than 5. The minimum expected count is .05.).
I've tested with numerous variables and getting no where. I have a sample size of 112 and I don't know what to do, data is listed below.
Does anyone have any suggestions for me?


Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square 48.982a 56 .735
Likelihood Ratio 52.235 56 .618
Linear-by-Linear Association 4.181 1 .041
N of Valid Cases 98

a. 72 cells (96.0%) have expected count less than 5. The minimum expected count is .05.

[jrai]

Try Fisher's exact tests.

[trinker]

Perhaps you could use an anova instead since you have a sum of Likert data.

[sandbrag]

Thank you to both My version of SPSS does not include Fischer (an extra add on) but have managed to reduce my data to binomial for the chi square analysis...transforming and recoding variables. I am going to give Anova a try too...thanks again