Figure 6.

Factor analysis of the chronotype of an individual using CDRs: (a) An exploratory factor analysis (EFA) of the peak locations of the morning activity (MA) and evening activity (EA) on the seven days of the week shows the emergence of two underlying latent factors (Morning behaviour and Evening behaviour of an individual) that governs the outcome of MA and EA, separately. The correlation between the two latent factor is computed to be $\eta =0.31$. (b) A higher order model (Bifactor model) is used to find an underlying general g factor that can be used to understand the chronotype of an individual. $F{1}^{\ast }$ and $F{2}^{\ast }$ are the “group” factors that affect the MAs and EAs, separately. The loadings of the factors on the observables for both the figures have been specified in the two separate tables (Supplementary Table S3 and Supplementary Table S4) in the SI. Any cross-loadings with values below 0.3 have been ignored.