only marginally significantp-value = 0.059
For example, using a simple sum score for depression, with an extreme reverse-J distribution yields an even larger and more significant estimate of interaction (0.39% variance explained; p-value = 6.8e-07) whereas using logistic regression to analyse the binary DSM IV diagnosis, predicated on an underlying normal liability, produces a smaller and only marginally significant estimate (0.06% variance explained; p-value = 0.059), although this analysis has much lower power than using a continuous variable.