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. Author manuscript; available in PMC: 2015 Jun 24.
Published in final edited form as: Health Psychol. 2013 Jun 24;33(4):340–348. doi: 10.1037/a0032738

Table 3.

Moderated-Mediation Model of the Effect of Choice Set Size on Enrollment Likelihood

Numeracy as the Moderator
Numeracy = 0 Numeracy = 1 Numeracy = 2 Numeracy = 3
Model 1: Costs as the Mediator (n=48) (n=57) (n=63) (n=59)
Cost measured by choice difficulty Estimate 95% BC
CI
Estimate 95% BC
CI
Estimate 95% BC CI Estimate 95% BC CI

Indirect Effect (a*b) −0.008 (−0.040–0.005) −0.012* (−0.032–−0.001) −0.016* (−0.035– −0.004) −0.021* (−0.059– −0.003)
  Choice set size on Enrollment via Costs
Path (a) 0.074 (−0.002–0.152) 0.084* (0.034–0.134) 0.094* (0.047–0.146) 0.104* (0.030–0.184)
  Choice set size on Costs
Path (b) −0.107 (−0.337–0.120) −0.138 (−0.283–0.009) −0.170* (−0.295– −0.043) −0.201* (−0.402– −0.023)
  Costs on Enrollment Likelihood
Direct effect (c'1) 0.012 (−0.056–0.083) 0.003 (−0.044–0.052) −0.005 (−0.055–0.042) −0.014 (−0.089–0.055)
  Choice set size on Enrollment Likelihood

Numeracy = 0 Numeracy = 1 Numeracy = 2 Numeracy = 3
Model 2: Benefits as the Mediator (n=47) (n=57) (n=62) (n=59)
Benefits measured by similarity to ideal plan Estimate 95% BC
CI
Estimate 95% BC
CI
Estimate 95% BC CI Estimate 95% BC CI

Indirect Effect (a*b) 0.002 (−0.010–0.031) 0.005 (−0.002–0.024) 0.009* (0.001–0.023) 0.012 (−0.002–0.040)
  Choice set size on Enrollment via Benefits
Path (a) 0.047 (−0.025–0.116) 0.047* (0.002–0.092) 0.047* (0.004–0.088) 0.046 (−0.024–0.106)
  Choice set size on Benefits
Path (b) 0.042 (−0.260–0.349) 0.113 (−0.074–0.308) 0.184* (0.046–0.341) 0.255* (0.051–0.483)
  Benefits on Enrollment Likelihood
Direct effect (c'1) 0.009 (−0.067–0.80) −0.011 (−0.062–0.036) −0.031 (−0.080–0.011) −0.051 (−0.127–0.011)
  Choice set size on Enrollment Likelihood

Note. Separate models are shown for when costs (benefits) are the mediator. In both cases, the two regressions used were of the following form. In the first regression, y (enrollment likelhood) was regressed on costs (or benefits) (m), the number of plans (x), numeracy (w), costs (benefits) interacted with numeracy (mw), numeracy interacted with the number of plans (wx), and all control variables. In the second regression, the mediator m (costs or benefits) was regressed on the number of plans (x), numeracy (w), numeracy interacted with the number of plans (wx), and all control variables. The control variables used in the regression were age, gender, education, employment status, marital status, race, household income, and the number of drugs taken regularly. Estimates and 95% bias-corrected confidence intervals are shown.