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Spread the joy: How high and low bias for happy facial emotions translate into different daily life affect dynamics /
Data preparation - detrending
- Charlotte Vrijen
- Catharina A. Hartman
- Peter de Jonge
- Eeske van Roekel
- Albertine Oldehinkel
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Description: As a first preparatory step we removed linear time trends from the data, because time trends violate the stationarity assumption of VAR analyses and may bias parameter estimation (Rovine & Walls, 2006). We also removed cyclic time of day trends prior to VAR analysis, because mlVAR does not allow controlling for time of day. Linear and cyclic time trends were removed by regressing each variable on time and on dummy variables for afternoon and evening, within each individual. The residuals from these analyses were used as input for the VAR models. Detrending of the data was done in Stata SE 15. The spss file contains the raw variables as well as the detrended variables.