“…In secondary data analyses, these problems are compounded by a general lack of adherence to consistent standards (Weston et al, 2019), which threatens the validity and robustness of reported associations, as the many choices leading to a reported analysis can engender misrepresentative estimates (Orben & Przybylski, 2019a). Studies that have adopted more systematic approaches to estimating associations between well-being and technology engagement have shown that the resulting relations depend on gender, arbitrary analytic choices, and the exact variables included in the analyses (Bjerre-Nielsen et al, 2020;Jensen et al, 2019;Kreski et al, 2020;Orben et al, 2019). In addition, most of this literature is limited by its use of self-reports of technology use, which are known to be biased and noisy indicators of true amounts of engagement, and lead to inaccurate estimated relations between health and well-being (Johannes et al, 2020;Parry et al, 2020;Scharkow, 2016;Shaw et al, 2020).…”