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. 2020 May 3;81(2):212–219. doi: 10.15288/jsad.2020.81.212

Table 3.

Differences between TLFB and daily reports at the daily level

graphic file with name jsad.2020.81.212tbl3.jpg

Models predicting alcohol use outcomes
No. of drinks
Drinking day
Heavy drinking day
Fixed effects B SE t p OR [95% CI] p OR [95% CI] p
Intercept 1.36 0.10 13.05 <.001 0.31 [0.26, 0.38] <.001 0.16 [0.13, 0.21] <.001
Report (L1) 3.16 0.18 17.50 <.001 1.25 [1.12, 1.39] <.001 1.11 [0.96, 1.29] .145
Day no. (L2) -0.03 0.00 -5.99 <.001 0.96 [0.95, 0.97] <.001 0.96 [0.95, 0.98] <.001
Time between methods (L3) -0.01 0.01 -0.56 .580 1.00 [0.98, 1.01] .696 1.01 [0.99, 1.03] .421
Baseline typical weekly drinks (L3) 0.06 0.01 4.36 <.001 1.03 [1.01, 1.06] <.001 1.06 [1.04, 1.09] <.001
Models predicting alcohol consequences outcomes
No. positive consequences
No. negative consequences
Any positive consequence
Any negative consequence
B SE t p OR [95% CI] p OR [95% CI] p OR [95% CI] p
Intercept 2.81 0.15 18.20 <.001 0.60 [0.49, 0.75] <.001 10.72 [6.73, 17.05] <.001 0.79 [0.56, 1.11] .172
Report type (L1) 0.51 0.11 4.53 <.001 0.97 [0.84, 1.13] .736 1.64 [1.05, 2.56] .029 0.80 [0.61, 1.05] .114
Day number (L2) -0.03 0.01 -4.67 <.001 1.00 [0.99, 1.01] .886 0.96 [0.94, 0.98] <.001 1.00 [0.98, 1.02] .948
Time between methods (L3) -0.03 0.01 -2.35 .021 0.99 [0.97, 1.01] .488 0.97 [0.93, 1.01] .174 1.00 [0.97, 1.03] .773
Baseline typical weekly drinks (L3) -0.01 0.01 -0.50 .616 1.01 [0.99, 1.03] .477 0.99 [0.95, 1.03] .699 1.02 [0.99, 1.05] .207

Notes: TLFB = Timeline Followback; no. = number; OR = odds ratio; CI = confidence interval; LL=lower limit; UL=upper limit; L1 = Modeled at Level 1 portion of the model; L2 = Level 2; L3 = Level 3; Report type coded 0 = daily, 1 = TLFB. As such, intercept = outcome reported daily and effect of report = difference in the outcome between daily and TLFB report; bold effects represent significant differences between methods (p < .01). Daily models included a random slope effect of report type for number of drinks and number of positive consequences.