= Linear-by-linear association test
For a two-way <contingency table> whose row and column variables are <ordinal categorical variables>, assign row scores $u_i$ and column scores $v_j$. The linear-by-linear association statistic measures the weighted <covariance>
$$
\sum_{i,j}y_{ij}(u_i-\bar u)(v_j-\bar v).
$$
After <normalization>, its square is asymptotically $\chi^2_1$ under <independence>. A signed, one-sided version tests a specified direction of ordinal association and can have greater <statistical power> than an omnibus <independence> test against a monotone alternative.
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