Chi Square Test in SPSS Interpretation with Example Summary


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
·         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
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
·         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
·         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
When use:
·         When there is group like “city” etc
·         Want to group/pool element
·         When there is more than rows and column in table
·         Enter city column in pool
·         Click on Mental-haenszel in statistics



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Maria Ali



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