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April 1, 2015

April 1, 2015

Posted by **Tom** on Friday, August 5, 2011 at 2:58am.

- Statistics -
**PsyDAG**, Saturday, August 6, 2011 at 3:33pmApparently, age accounts for .4356 (.66^2) of the variance of the scores.

Use chi-square with cells for age and gender.

Example: Relation between height and level of executives for males was significant, with greater height indicating higher level (statistical significance). However, the differences were only in fractions of an inch, not allowing much prediction of executive level (substantive significance).

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