Chi Square Analysis chi square test in spss interpretation interpretation of chi square test results in spss with Example Summary
If sig value > 0.05 then accept H0
If sig value <= 0.05 then accept H1
Assumptions
· Sample must be random and independently distributed
· Each unit in the cell has the same probability being from a particular cell
· Each observation may be categorized either into class 1 or class 2 etc
Solution
1. H0 : Sample is independent
2. H1 : There is association
3. Sig value: 0.05
For simple category Analysis
Check expected count if any value is less than 5 then use “Likehood/contingency table” than pearson chi square method
· If 2*2 then use risk and see phi
· If 2*3, 2*4 then use contingency table
· If 3*3, 4*4, 5*5 then use cramer-v
Kappa Applied
When use:
· when rows and columns have same name.
· use for qualitative variable want to see index of agreement b/t observation
Solution:
· Click on statistics “kappa”
· In kappa column value tell (index of agreement)
· If want to see sig value then see “Asymp std error” value.
Nominal Data
When use:
Category is not properly defined e.g
· Over, proper, under
· High dose, recommended dose, low dose
If data is not in order then see “Linear by Linear” in chi square table.
Kandall-tau b test
When use
To check one value is decreasing & another value is increasing. For qualitative
Solution:
· Click on “co-relation”
· Click on “kandrall-tau-b”
· Check kandrall value in table if value is (-ve) mean one value is decreasing & another value is increasing
Cochran-Mantel-Haenszel
When use:
· When there is group like “city” etc
· Want to group/pool element
· When there is more than rows and column in table
Solution
· Enter city column in pool
· Click on Mental-haenszel in statistics
