Chi Square Test in SPSS Interpretation with Example Summary


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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




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