Just to clarify, am not part of Strongminds or HLI, maybe you thought I was Joel replying?
Thanks for the clarifications, appreciate that. Seems like we generally agree on implementation sensitivity.
Thanks for your explanation on the HLI numbers which unfortunately I only I partly understand. A quick (and possibly stupid question), what does SD stand for? Usually I would expect standard deviation?
No bet from me on the Ozler trial I’m afraid (not a gambling guy ;) ). Personally I think this trial it will find a fairly large effect due partly to the intervention actually working, but the effect will be inflated compared to the real effect to a due to inflated post-study SBJ scores. This happens due to “demand bias” and “future hope bias” (discussed in another post) but my certainty of any of this is so low it almost touches the floor...
what does SD stand for? Usually I would expect standard deviation?
Yes, that’s exactly right. The HLI methodology consists of polling together a bunch of different studies effect-sizes (measured in standard deviations) and then converting those standard deviations into WELLBYs. (By mulitplying by a number ~2).
No bet from me on the Ozler tria
Fair enough—I’m open to betting on this with anyone* fwiw. * anyone who hasn’t already seen results / involved in the trial ofc
Just to clarify, am not part of Strongminds or HLI, maybe you thought I was Joel replying?
Thanks for the clarifications, appreciate that. Seems like we generally agree on implementation sensitivity.
Thanks for your explanation on the HLI numbers which unfortunately I only I partly understand. A quick (and possibly stupid question), what does SD stand for? Usually I would expect standard deviation?
No bet from me on the Ozler trial I’m afraid (not a gambling guy ;) ). Personally I think this trial it will find a fairly large effect due partly to the intervention actually working, but the effect will be inflated compared to the real effect to a due to inflated post-study SBJ scores. This happens due to “demand bias” and “future hope bias” (discussed in another post) but my certainty of any of this is so low it almost touches the floor...
Yes, that’s exactly right. The HLI methodology consists of polling together a bunch of different studies effect-sizes (measured in standard deviations) and then converting those standard deviations into WELLBYs. (By mulitplying by a number ~2).
Fair enough—I’m open to betting on this with anyone* fwiw. * anyone who hasn’t already seen results / involved in the trial ofc