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A standard compared entropy link with some common metrics to measure the link in the degree of compatibility tables | ||
| Al Kut Journal of Economics Administrative Sciences | ||
| Article 1, Volume 0, Issue 9, 2018, Pages 340-359 | ||
| Author | ||
| Dr.Bassim sholeba Moslim | ||
| Abstract | ||
| Abstract: In this research we compared measurements of correlation entropy (Entropy correlation) with some measures common to test independence of whether or not to variables contingency tables including (chi square test - Yates test - ML ratio test - Fisher test) and comparable to measure the correlation with some measures common to measure the correlation including ( Phi coefficient - contingency coefficient - yale measure) and mostly rely on calculated on the value of the chi square test to test the independence between the two variables in contingency Table of degree (kxk) or 2xk)). has adopted Search side experimental and applied to a set of contingency tables of degree ( 2x2) was selected from research [14] as well as two tables agree to data phenomenon of divorce once and twice, according to the sex of the absolute (male and female) and spatial environment for a divorce (Rural and city) in Wasit province for the time (2004-2010). One of the main findings of the research owning A standard correlation entropy interpretation direct and strong to detect the existence of the relationship and strength at the same time despite the weak one compared standards other than metrics other common that depend on the value of chi square test of independence is a numerical value has no significant explanatory concept of relationship correlation, as well as to measure the correlation entropy is not affected by number located in any cell of the table because it depends on the gravity of probability cell unlike chi square test that is affected by a number less than 5 hits (frequency ) that the process of derivation based on large samples in contingency Table as well as the conclusions Others can be seen in the search | ||
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