As per the American Statistical Association's (ASA) recently released «Statement on P - Values,» statistical significance «is not equivalent to scientific, human, or economic significance... Any effect, no matter how tiny, can produce a small p - value [i.e., «statistical significance»] if the sample size or measurement precision is high enough» (p. 10);
hence, one must always
check for practical significance when making
claims about statistical significance, like Kane et al. actually do here, but do here in a similar inflated vein.