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. Author manuscript; available in PMC: 2022 May 7.
Published in final edited form as: Subst Use Misuse. 2021 May 7;56(8):1216–1223. doi: 10.1080/10826084.2021.1914107

Table 1.

Results of Multi-Level Logistic Regression of S-STOP Program Effects on Service of Alcohol to a Pseudo-intoxicated Patron

Variable b SEb t p AOR (95% CI)
 Intercept 4.514 1.256 3.60 < .001
 S-STOP Intervention 0.918 0.540 1.70 .09 2.50 (0.87, 7.23)
 Secular Trend
  MS 1a -- -- -- -- --
  MS 2 −0.006 0.418 −0.01 .99 0.99 (0.44, 2.26)
  MS 3 −0.285 0.452 −0.63 .53 0.75 (0.31, 1.83)
  MS 4 0.327 0.482 0.68 .50 1.39 (0.54, 3.57)
  MS 5 0.662 0.396 1.67 .10 1.94 (0.89, 4.21)
  MS 6 0.615 0.676 0.91 .36 1.85 (0.49, 6.96)
  MS 7 0.785 0.780 1.01 .31 2.19 (0.48, 10.12)
 Early vs. Delayed −1.366 0.610 −2.24 .03 0.26 (0.08, .85)
 Doorman Present 0.369 0.163 2.26 .03 1.45 (1.05, 1.99)
 Server Sex (Male) −0.158 0.159 −0.99 .32 0.85 (0.63, 1.17)
 Server Age
  < 25 Yearsa -- -- -- -- --
  25–35 Years −0.136 .330 −.41 .68 0.87 (.46, 1.67)
  > 35 Years 0.342 0.347 0.98 .33 1.41 (.71, 2.78)
 How Busy −0.042 .134 −.31 0.75 0.96 (0.74, 1.25)
a

Reference category