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. Author manuscript; available in PMC: 2022 Mar 14.
Published in final edited form as: J Occup Environ Med. 2015 Sep;57(9):943–951. doi: 10.1097/JOM.0000000000000520

TABLE 3.

Multivariate Models of Intervention Costs and Benefitsa

Covariate Organizational Costsb Intervention Costsc

STAR participant −1,850.20 (2,547.46) 690.13*** (14.41)
Baseline costs to employer 2.15*** (0.356)
Male 1,922.33 (3,177.68) −18.99 (12.30)
Age −705.35*** (176.98) 3.45*** (0.99)
Race
 Indian 7,650.25 (4,975.05) −15.58 (20.32)
 Nonwhite, non-Indian −3,667.41 (3,503.73) −32.08 (17.12)
College graduate 339.52 (2,656.79) 12.89 (17.76)
Constant −84.54 (62.25)
Observations 946 946
Adjusted meansd
 Control 28,497.02 (2,158.88) 16.15 (6.67)
 STAR 26,646.81 (1,582.61) 706.28 (12.18)
ROIe 1.68 (−8.85 to 9.47)
*

P < 0.001.

a

Dependent variables expressed in US dollars, 2011 prices.

b

Marginal effects from Gamma GLM regression with cluster-robust standard errors in parentheses. Model also controls for number of missed data collection waves, calendar quarters, and randomization factors.

c

OLS regression with cluster-robust standard errors in parentheses. Model also controls for randomization factors.

d

Adjusted means (standard errors) computed using recycled predictions.

e

ROI calculated as ΔE − ΔΨΔΨ where ΔE is the marginal effect of STAR on organizational costs and ΔC is the marginal effect of STAR on intervention costs. The confidence interval (in parentheses) was calculated from the empirical distribution of ROI point estimates using a cluster-robust bootstrap routine with 1000 replications.56

ROI, return on investment; STAR, support, transform, achieve, results.