Hello ... eta-value is part of chi-square under ANOVA analysis, when doing analysis in SPSS we choose crosstabs from descriptive statistics menu of analysis. It measures the perfection of the impact on a continuous field. ... Eta-square can be explained as the proportion of variance in the continuous field. eta range from zero which means no association to one which means perfect or strong association.

Hello ... eta-value is part of chi-square under ANOVA analysis, when doing analysis in SPSS we choose crosstabs from descriptive statistics menu of analysis. It measures the perfection of the impact on a continuous field. ... Eta-square can be explained as the proportion of variance in the continuous field. eta range from zero which means no association to one which means perfect or strong association.

thank u sir

sir i already run the eta test

i got 0.6 value

this value how to interpret

Mr Priya, from your value 0.6, it infers that you have a strong association. If you take the square of 0.6, you have 0.36= Eta square, which means that your independent variable has 36% effect on your dependent variable outcome. I hope this helps.

When one variable is categorical and the other is quantitative, select Eta. The categorical variable must be coded numerically. A measure of association that ranges from 0 to 1, with 0 indicating no association between the row and column variables and values close to 1 indicating a high degree of association. Eta is appropriate for a dependent variable measured on an interval scale (for example, income) and an independent variable with a limited number of categories (for example, gender). Two eta values are computed: one treats the row variable as the interval variable, and the other treats the column variable as the interval variable.

Really I was stuck at this point(Eta Square scores analysis, but now it is very clear to me. Just I want to know when we can say the score is larger, medium

, or small.

Hi Othman,

The eta coefficient is interpreted like the Pearson's coefficient where .2 to .39 is a weak association, .4 to .69 is a medium association, and >.7 is a strong association. This handout explains more https://methods.sagepub.com/base/download/DatasetStudentGuide/eta-coefficient-niosh-qwl-2014-r