Table 1.

Description of model parameters for Model 1 and Model 2

Depressed mood
Model 1a		Model 1b
Location parameter	M (SD) [90% CI]	Scale parameter	M (SD) [90% CI]
Fixed effects estimates
β0	Level of depressed mood at the start of EMA on average for the sample, accounting for one’s average level of co-occurring anxiety	η0	Degree of variability of depressed mood at the start of EMA on average for the sample, accounting for one’s average level of co-occurring anxiety
β1 Dayij	Linear effect of time (i.e., day) on level of depressed mood on average	η1 Dayij	Linear effect of time (i.e., day) on degree of variability of depressed mood
β2 Surveyij	Linear effect of time (i.e., survey) of depressed mood on average	η2 Surveyij	Linear effect of time (i.e., survey) on degree of variability of depressed mood
β3 DownLag1,ij	Effect of depressed mood at the previous timepoint on levels of future depressed mood	η3 DownLag1,ij	Effect of depressed mood at the previous timepoint on degree of variability of future depressed mood
β4 AnxietyLag1,ij	Effect of anxiety at the previous timepoint on levels of future depressed mood	η4 AnxietyLag1,ij	Effect of anxiety at the previous timepoint on degree of variability of depressed mood
β5 Anxietyi	Effect of an individual’s average level of anxiety on levels of depressed mood	η5 Anxietyi	Effect of an individual’s average level of anxiety on degree of variability of depressed mood
β6 Anxietyij	Effect of an individual’s momentary deviations of anxiety on levels of depressed mood	η6 Anxietyij	Effect of an individual’s momentary deviations of anxiety on degree of variability of depressed mood
Anxiety
Model 2a		Model 2b
Location parameter	M (SD) [90% CI]	Scale parameter	M (SD) [90% CI]
Fixed effects estimates
β0	Level of anxiety at the start of EMA on average for the sample, accounting for one’s average level of co-occurring depressed mood	η0	Degree of variability of anxiety at the start of EMA on average for the sample, accounting for one’s average level of co-occurring depressed mood
β1 Dayij	Linear effect of time (i.e., day) on level of anxiety on average	η1 Dayij	Linear effect of time (i.e., day) on degree of variability of anxiety
β2 Surveyij	Linear effect of time (i.e., survey) on level of anxiety on average	η2 Surveyij	Linear effect of time (i.e., survey) on degree of variability of anxiety
β3 DownLag1,ij	Effect of depressed mood at the previous timepoint on levels of future anxiety	η3 DownLag1,ij	Effect of depressed mood at the previous timepoint on degree of variability of future anxiety
β4 AnxietyLag1,ij	Effect of anxiety at the previous timepoint on levels of future anxiety	η4 AnxietyLag1,ij	Effect of anxiety at the previous timepoint on degree of variability of future anxiety
β5 Downi	Effect of an individual’s average level of depressed mood on levels of anxiety	η5 Downi	Effect of an individual’s average level of depressed mood on degree of variability of anxiety
β6 Downij	Effect of an individual’s momentary deviations of depressed mood on levels of anxiety	η6 Downij	Effect of an individual’s momentary deviations of depressed mood on degree of variability of anxiety

Note. Location sub-models estimated predictors of momentary ratings of feeling down or feeling anxious for a given individual in a given moment. Scale sub-models estimated the momentary degree of variability of depressed mood or anxiety for individual in moment. Lagged variables were person-mean-centered (Hamaker et al., 2015) so that a lagged parameter measures the effect of momentary deviations from one’s typical level of that symptom on the level or degree of variability of a given symptom at the next timepoint. Individual-level variation was measured by including random effects around all time-varying effects.