Personal Experiences,Study, Learning Blog of Abu Rashid aka Harun

Chi square===========google search: chi square with spsschi square test>>>on the column-- value,df,asymp.sig(2-sided)On the row---Pearson chi-squareLikelihood ratioLienar by linear association
There is another symmetric measures
Chi-square is most suitable bi-variate analytical technique for nominal type of variable
http://www.mhhe.com/socscience/psychology/runyon/spss/chisquare.html
Sex is a nominal variable which is also called independent variable while doing Anova test.
4 cells (100.0%) have expected frequencies less than 5. The minimum expected cell frequency is 3.0.
The value under "Chi-Square" is .0000 because the cell frequencies were all equal. As usual, statistically significance results are indicated by "Asymp. Sig.[nificance]" values below .05. Obviously, this example is NOT statistically significant. In words, these results indicate that the obtained frequencies do not differ significantly from those that would be expected if all cell frequencies were equal in the population.
The chi-square test for independence is a test of whether two categorical variables are associated with each other
http://www2.chass.ncsu.edu/garson/pa765/chisq.htm@A+,very goodIf simply "chi-square" is mentioned, it is probably Pearson's chi-square.
http://academic.uofs.edu/department/psych/methods/cannon99/level2d.htmlThis is the value of the chi-square statistic.
8) This is your degrees of freedom.
9) Here is your significance (p-value).