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Statistical analyses were performed using the stats package in R (R Core Team, 2020). For all analyses, statistical significance was set at a preregistered threshold P
For our first hypothesis—that more popular apps, in terms of app-level revenue, MAU, and downloads, would have higher MARS scores—we determined the Kendall rank (T) correlation coefficients (3 in total) between the MARS total score and revenue, MAU, and downloads.
JMIR Hum Factors 2022;9(1):e30766
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As the limited number of data points would make such models unidentified, precluding maximum likelihood or related methods [95], we used Bayesian data analysis in the R package brms [89]. Bayesian data analysis produces a posterior distribution for each parameter that indicates the relative probability of all possible values in light of (1) the observed data and (2) a prior distribution that represents the possible values of the parameters as known or believed before data collection.
J Med Internet Res 2020;22(9):e17164
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