Descriptive Statistics and Relationships of Different Variables in Study 2.

Note: For Study 2, since there is no straightforward way of calculating correlations in multilevel analyses the estimates provided for each pair of daily life variables are unstandardized coefficients from Level 1 multilevel models with one of the variables as an outcome measure and the other as a predictor (group mean-centered). As the multilevel estimates for the Level 1 variables are not symmetrical, the coefficients before the diagonal represent the coefficients obtained, in which the preceding variable was entered as the predictor and the succeeding variable as the outcome (e.g., reappraisal → rumination), while the coefficients after the diagonal represent the estimates, in which the succeeding variable was the predictor and the preceding variable was the outcome (e.g., rumination → reappraisal). The estimates provided for the relationship between a trait and daily variable (e.g., emotional n-back and reappraisal) are unstandardized coefficients with the daily variable as the Level 1 outcome and the trait variable as a Level 2 predictor.Emotional n-back performance is measured using accuracy scores. Negative interference is measured using RTs, ER Mean = average emotion regulation use.Significant correlations are indicated in bold (p