In a World of Big Data, Small Effects Can Still Matter: A Reply to Boyce, Daly, Hounkpatin, and Wood

We make three points in response to Boyce, Daly, Hounkpatin, and Wood (2017). First, we clarify a misunderstanding of the goal of our analyses, which was to investigate the links between life satisfaction and spending patterns, rather than spending volume. Second, we report a simulation study we ran to demonstrate that our results were not driven by the proposed statistical artifact. Finally, we discuss the broader issue of why, in a world of big data, small but reliable effect sizes can be valuable.