The tetrachoric correlation coefficient assumes that the variable underlying each dichotomous measure is normally distributed.
2.
An extension of the tetrachoric correlation to tables involving variables with more than two levels is the polychoric correlation coefficient.
3.
One can estimate a normal-ogive latent trait model by factor-analyzing a matrix of tetrachoric correlations between items.
4.
The tetrachoric correlation coefficient provides " a convenient measure of [ the Pearson product-moment ] correlation when graduated measurements have been reduced to two categories . " The tetrachoric correlation should not be confused with the Pearson product-moment correlation coefficient computed by assigning, say, values 0 and 1 to represent the two levels of each variable ( which is mathematically equivalent to the phi coefficient ).
5.
The tetrachoric correlation coefficient provides " a convenient measure of [ the Pearson product-moment ] correlation when graduated measurements have been reduced to two categories . " The tetrachoric correlation should not be confused with the Pearson product-moment correlation coefficient computed by assigning, say, values 0 and 1 to represent the two levels of each variable ( which is mathematically equivalent to the phi coefficient ).
परिभाषा
a correlation coefficient computed for two normally distributed variables that are both expressed as a dichotomy पर्याय: tetrachoric correlation coefficient,
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