Matz, SC;
Gladstone, JJ;
Stillwell, D;
(2017)
In a World of Big Data, Small Effects Can Still Matter: A Reply to Boyce, Daly, Hounkpatin, and Wood (2017).
Psychological Science
, 28
(4)
pp. 547-550.
10.1177/0956797617697445.
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Abstract
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.
Type: | Article |
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Title: | In a World of Big Data, Small Effects Can Still Matter: A Reply to Boyce, Daly, Hounkpatin, and Wood (2017) |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1177/0956797617697445 |
Publisher version: | http://dx.doi.org/10.1177/0956797617697445 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > UCL School of Management |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1551520 |
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