I collect data of 21 participants daily over 14 weeks (98 measurement points per participant/physiological data). Each participant is part of an intervention group. All interventions have the possibility to improve the dependent variable. I assume that there was no improvement per day but perhaps per week (I know that it is not perfect because all interventions had the possibility to improve the dependent variable). My questions are:

  • should I combine the daily measurements into weekly measurements?
  • should I use the time variable (measurement or week) as continuous or as a factor?
  • Is this a possible code (here using the lmer function)?

model1_fit

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