## Participants after exclusions: 422
Condition counts:
| Condition | N |
|---|---|
| Pill | 141 |
| Gum | 137 |
| Base | 144 |
| Scale | Items | Alpha |
|---|---|---|
| Risk (R1–R3) | 3 | 0.902 |
| Warning & Regulation Willingness (W1–W5) | 5 | 0.881 |
| Word of Mouth (WOM1–WOM3) | 3 | 0.896 |
Note: Efficacy (E2, E3) reported as inter-item correlation: r = 0.951.
| Scale | n | mean | sd | min | max |
|---|---|---|---|---|---|
| Risk | 422 | -0.211 | 1.387 | -3 | 3 |
| Efficacy | 422 | 0.755 | 1.193 | -3 | 3 |
| Warning & Regulation Willingness | 422 | 1.494 | 1.203 | -3 | 3 |
| Word of Mouth | 422 | -0.351 | 1.739 | -3 | 3 |
| Condition | N | M | SD | M | SD |
|---|---|---|---|---|---|
| Pill | 141 | 1.82 | 1.41 | -2.52 | 0.95 |
| Gum | 137 | -0.01 | 1.72 | 0.05 | 1.78 |
| Base | 144 | 0.32 | 1.75 | -1.64 | 1.50 |
| Term | Df | Sum Sq | Mean Sq | F value | Pr(>F) |
|---|---|---|---|---|---|
| Cond | 2 | 268.462 | 134.231 | 50.404 | 0 |
| Residuals | 419 | 1115.844 | 2.663 | NA | NA |
| contrast | estimate | SE | df | t.ratio | p.value |
|---|---|---|---|---|---|
| Pill - Gum | 1.837 | 0.196 | 419 | 9.385 | 0.000 |
| Pill - Base | 1.503 | 0.193 | 419 | 7.775 | 0.000 |
| Gum - Base | -0.334 | 0.195 | 419 | -1.715 | 0.201 |
| Term | Df | Sum Sq | Mean Sq | F value | Pr(>F) |
|---|---|---|---|---|---|
| Cond | 2 | 475.013 | 237.506 | 112.698 | 0 |
| Residuals | 419 | 883.028 | 2.107 | NA | NA |
| contrast | estimate | SE | df | t.ratio | p.value |
|---|---|---|---|---|---|
| Pill - Gum | -2.576 | 0.174 | 419 | -14.791 | 0 |
| Pill - Base | -0.886 | 0.172 | 419 | -5.151 | 0 |
| Gum - Base | 1.690 | 0.173 | 419 | 9.754 | 0 |
## --- MC_D: Base positioning ---
| contrast | estimate | SE | df | t.ratio | p.value |
|---|---|---|---|---|---|
| Base vs Pill | 1.503 | 0.193 | 419 | 7.775 | 0.000 |
| Base vs Gum | 1.837 | 0.196 | 419 | 9.385 | 0.000 |
| Pill vs Gum | -0.334 | 0.195 | 419 | -1.715 | 0.087 |
## --- MC_F: Base positioning ---
| contrast | estimate | SE | df | t.ratio | p.value |
|---|---|---|---|---|---|
| Base vs Pill | -0.886 | 0.172 | 419 | -5.151 | 0 |
| Base vs Gum | -2.576 | 0.174 | 419 | -14.791 | 0 |
| Pill vs Gum | 1.690 | 0.173 | 419 | 9.754 | 0 |
Items: CRIT_1 = Effectiveness, CRIT_2 = Risk, CRIT_3 = Side Effects, CRIT_4 = Dosage Information.
| Condition | CRIT_1_M | CRIT_1_SD | CRIT_2_M | CRIT_2_SD | CRIT_3_M | CRIT_3_SD | CRIT_4_M | CRIT_4_SD |
|---|---|---|---|---|---|---|---|---|
| Pill | 2.50 | 0.76 | 2.12 | 1.31 | 2.22 | 1.23 | 1.75 | 1.44 |
| Gum | 2.28 | 0.99 | 1.86 | 1.21 | 2.01 | 1.22 | 1.44 | 1.33 |
| Base | 2.44 | 0.89 | 2.07 | 1.25 | 2.23 | 1.14 | 1.53 | 1.45 |
| Term | Df | Sum Sq | Mean Sq | F value | Pr(>F) |
|---|---|---|---|---|---|
| Cond | 2 | 3.815 | 1.907 | 2.434 | 0.089 |
| Residuals | 419 | 328.264 | 0.783 | NA | NA |
| contrast | estimate | SE | df | t.ratio | p.value |
|---|---|---|---|---|---|
| Pill - Gum | 0.226 | 0.106 | 419 | 2.130 | 0.085 |
| Pill - Base | 0.059 | 0.105 | 419 | 0.564 | 0.840 |
| Gum - Base | -0.167 | 0.106 | 419 | -1.582 | 0.255 |
| Term | Df | Sum Sq | Mean Sq | F value | Pr(>F) |
|---|---|---|---|---|---|
| Cond | 2 | 5.227 | 2.614 | 1.653 | 0.193 |
| Residuals | 419 | 662.621 | 1.581 | NA | NA |
| contrast | estimate | SE | df | t.ratio | p.value |
|---|---|---|---|---|---|
| Pill - Gum | 0.259 | 0.151 | 419 | 1.718 | 0.199 |
| Pill - Base | 0.051 | 0.149 | 419 | 0.343 | 0.937 |
| Gum - Base | -0.208 | 0.150 | 419 | -1.387 | 0.349 |
| Term | Df | Sum Sq | Mean Sq | F value | Pr(>F) |
|---|---|---|---|---|---|
| Cond | 2 | 4.374 | 2.187 | 1.531 | 0.218 |
| Residuals | 419 | 598.615 | 1.429 | NA | NA |
| contrast | estimate | SE | df | t.ratio | p.value |
|---|---|---|---|---|---|
| Pill - Gum | 0.213 | 0.143 | 419 | 1.482 | 0.300 |
| Pill - Base | -0.009 | 0.142 | 419 | -0.066 | 0.998 |
| Gum - Base | -0.222 | 0.143 | 419 | -1.555 | 0.266 |
| Term | Df | Sum Sq | Mean Sq | F value | Pr(>F) |
|---|---|---|---|---|---|
| Cond | 2 | 7.299 | 3.650 | 1.843 | 0.16 |
| Residuals | 419 | 829.924 | 1.981 | NA | NA |
| contrast | estimate | SE | df | t.ratio | p.value |
|---|---|---|---|---|---|
| Pill - Gum | 0.314 | 0.169 | 419 | 1.859 | 0.152 |
| Pill - Base | 0.224 | 0.167 | 419 | 1.343 | 0.372 |
| Gum - Base | -0.090 | 0.168 | 419 | -0.535 | 0.854 |
| Condition | n | M | SD |
|---|---|---|---|
| Pill | 141 | -0.05 | 1.53 |
| Gum | 137 | -0.44 | 1.25 |
| Base | 144 | -0.16 | 1.35 |
| Term | Df | Sum Sq | Mean Sq | F value | Pr(>F) |
|---|---|---|---|---|---|
| Cond | 2 | 11.027 | 5.514 | 2.89 | 0.057 |
| Residuals | 419 | 799.425 | 1.908 | NA | NA |
| Predictor | Estimate | Std. Error | t value | Pr(>|t|) |
|---|---|---|---|---|
| (Intercept) | -0.050 | 0.116 | -0.427 | 0.67 |
| CondGum | -0.386 | 0.166 | -2.329 | 0.02 |
| CondBase | -0.105 | 0.164 | -0.644 | 0.52 |
| contrast | estimate | SE | df | t.ratio | p.value |
|---|---|---|---|---|---|
| Pill - Gum | 0.386 | 0.166 | 419 | 2.329 | 0.053 |
| Pill - Base | 0.105 | 0.164 | 419 | 0.644 | 0.796 |
| Gum - Base | -0.280 | 0.165 | 419 | -1.701 | 0.206 |
| Condition | n | M | SD |
|---|---|---|---|
| Pill | 141 | 0.91 | 1.25 |
| Gum | 137 | 0.68 | 1.15 |
| Base | 144 | 0.67 | 1.16 |
| Term | Df | Sum Sq | Mean Sq | F value | Pr(>F) |
|---|---|---|---|---|---|
| Cond | 2 | 5.449 | 2.724 | 1.924 | 0.147 |
| Residuals | 419 | 593.417 | 1.416 | NA | NA |
| Predictor | Estimate | Std. Error | t value | Pr(>|t|) |
|---|---|---|---|---|
| (Intercept) | 0.915 | 0.100 | 9.129 | 0.000 |
| CondGum | -0.232 | 0.143 | -1.628 | 0.104 |
| CondBase | -0.248 | 0.141 | -1.761 | 0.079 |
| contrast | estimate | SE | df | t.ratio | p.value |
|---|---|---|---|---|---|
| Pill - Gum | 0.232 | 0.143 | 419 | 1.628 | 0.235 |
| Pill - Base | 0.248 | 0.141 | 419 | 1.761 | 0.184 |
| Gum - Base | 0.016 | 0.142 | 419 | 0.111 | 0.993 |
| Condition | n | M | SD |
|---|---|---|---|
| Pill | 141 | 1.68 | 1.19 |
| Gum | 137 | 1.19 | 1.23 |
| Base | 144 | 1.60 | 1.14 |
| Term | Df | Sum Sq | Mean Sq | F value | Pr(>F) |
|---|---|---|---|---|---|
| Cond | 2 | 18.894 | 9.447 | 6.702 | 0.001 |
| Residuals | 419 | 590.590 | 1.410 | NA | NA |
| Predictor | Estimate | Std. Error | t value | Pr(>|t|) |
|---|---|---|---|---|
| (Intercept) | 1.681 | 0.100 | 16.811 | 0.000 |
| CondGum | -0.488 | 0.142 | -3.427 | 0.001 |
| CondBase | -0.084 | 0.141 | -0.595 | 0.552 |
| contrast | estimate | SE | df | t.ratio | p.value |
|---|---|---|---|---|---|
| Pill - Gum | 0.488 | 0.142 | 419 | 3.427 | 0.002 |
| Pill - Base | 0.084 | 0.141 | 419 | 0.595 | 0.823 |
| Gum - Base | -0.405 | 0.142 | 419 | -2.855 | 0.013 |
| Condition | n | M | SD |
|---|---|---|---|
| Pill | 141 | -0.41 | 1.84 |
| Gum | 137 | -0.34 | 1.69 |
| Base | 144 | -0.30 | 1.70 |
| Term | Df | Sum Sq | Mean Sq | F value | Pr(>F) |
|---|---|---|---|---|---|
| Cond | 2 | 0.915 | 0.457 | 0.151 | 0.86 |
| Residuals | 419 | 1271.847 | 3.035 | NA | NA |
| Predictor | Estimate | Std. Error | t value | Pr(>|t|) |
|---|---|---|---|---|
| (Intercept) | -0.414 | 0.147 | -2.820 | 0.005 |
| CondGum | 0.078 | 0.209 | 0.373 | 0.709 |
| CondBase | 0.110 | 0.206 | 0.535 | 0.593 |
| contrast | estimate | SE | df | t.ratio | p.value |
|---|---|---|---|---|---|
| Pill - Gum | -0.078 | 0.209 | 419 | -0.373 | 0.926 |
| Pill - Base | -0.110 | 0.206 | 419 | -0.535 | 0.854 |
| Gum - Base | -0.033 | 0.208 | 419 | -0.156 | 0.987 |
Comparison: Pill (1) vs. Gum (0) | Mediator: R_AVG | Outcome: W_AVG
PROCESS Model 4, 5,000 bootstrap samples, 95% CI
##
## **************** PROCESS Procedure for R Version 5.0 ******************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## PROCESS is now ready for use.
## Copyright 2013-2025 by Andrew F. Hayes ALL RIGHTS RESERVED
## Workshop schedule at haskayne.ucalgary.ca/CCRAM
## Information about PROCESS available at processmacro.org/faq.html
##
## **************** PROCESS Procedure for R Version 5.0 ******************
##
## Written by Andrew F. Hayes, Ph.D. www.afhayes.com
## Documentation available in Hayes (2022). www.guilford.com/p/hayes3
##
## ***********************************************************************
##
## Model: 4
## Y: W_AVG
## X: Cond_pillgum
## M: R_AVG
##
## Sample size: 278
##
## Custom seed: 42
##
##
## ***********************************************************************
## Outcome Variable: R_AVG
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.1371 0.0188 1.9577 5.2850 1.0000 276.0000 0.0223
##
## Model:
## coeff se t p LLCI ULCI
## constant -0.4355 0.1195 -3.6433 0.0003 -0.6709 -0.2002
## Cond_pillgum 0.3859 0.1679 2.2989 0.0223 0.0554 0.7163
##
## ***********************************************************************
## Outcome Variable: W_AVG
##
## Model Summary:
## R R-sq MSE F df1 df2 p
## 0.4849 0.2352 1.1691 42.2749 2.0000 275.0000 0.0000
##
## Model:
## coeff se t p LLCI ULCI
## constant 1.3627 0.0946 14.4087 0.0000 1.1765 1.5488
## Cond_pillgum 0.3376 0.1309 2.5778 0.0105 0.0798 0.5953
## R_AVG 0.3902 0.0465 8.3897 0.0000 0.2987 0.4818
##
## ***********************************************************************
## Bootstrapping progress:
## | | | 0% | | | 1% | |> | 1% | |> | 2% | |>> | 2% | |>> | 3% | |>> | 4% | |>>> | 4% | |>>> | 5% | |>>> | 6% | |>>>> | 6% | |>>>> | 7% | |>>>>> | 7% | |>>>>> | 8% | |>>>>> | 9% | |>>>>>> | 9% | |>>>>>> | 10% | |>>>>>>> | 10% | |>>>>>>> | 11% | |>>>>>>> | 12% | |>>>>>>>> | 12% | |>>>>>>>> | 13% | |>>>>>>>> | 14% | |>>>>>>>>> | 14% | |>>>>>>>>> | 15% | |>>>>>>>>>> | 15% | |>>>>>>>>>> | 16% | |>>>>>>>>>> | 17% | |>>>>>>>>>>> | 17% | |>>>>>>>>>>> | 18% | |>>>>>>>>>>> | 19% | |>>>>>>>>>>>> | 19% | |>>>>>>>>>>>> | 20% | |>>>>>>>>>>>>> | 20% | |>>>>>>>>>>>>> | 21% | |>>>>>>>>>>>>> | 22% | |>>>>>>>>>>>>>> | 22% | |>>>>>>>>>>>>>> | 23% | |>>>>>>>>>>>>>>> | 23% | |>>>>>>>>>>>>>>> | 24% | |>>>>>>>>>>>>>>> | 25% | |>>>>>>>>>>>>>>>> | 25% | |>>>>>>>>>>>>>>>> | 26% | |>>>>>>>>>>>>>>>> | 27% | |>>>>>>>>>>>>>>>>> | 27% | |>>>>>>>>>>>>>>>>> | 28% | |>>>>>>>>>>>>>>>>>> | 28% | |>>>>>>>>>>>>>>>>>> | 29% | |>>>>>>>>>>>>>>>>>> | 30% | |>>>>>>>>>>>>>>>>>>> | 30% | |>>>>>>>>>>>>>>>>>>> | 31% | |>>>>>>>>>>>>>>>>>>>> | 31% | |>>>>>>>>>>>>>>>>>>>> | 32% | |>>>>>>>>>>>>>>>>>>>> | 33% | |>>>>>>>>>>>>>>>>>>>>> | 33% | |>>>>>>>>>>>>>>>>>>>>> | 34% | |>>>>>>>>>>>>>>>>>>>>> | 35% | |>>>>>>>>>>>>>>>>>>>>>> | 35% | |>>>>>>>>>>>>>>>>>>>>>> | 36% | |>>>>>>>>>>>>>>>>>>>>>>> | 36% | |>>>>>>>>>>>>>>>>>>>>>>> | 37% | |>>>>>>>>>>>>>>>>>>>>>>> | 38% | |>>>>>>>>>>>>>>>>>>>>>>>> | 38% | |>>>>>>>>>>>>>>>>>>>>>>>> | 39% | |>>>>>>>>>>>>>>>>>>>>>>>> | 40% | |>>>>>>>>>>>>>>>>>>>>>>>>> | 40% | |>>>>>>>>>>>>>>>>>>>>>>>>> | 41% | |>>>>>>>>>>>>>>>>>>>>>>>>>> | 41% | |>>>>>>>>>>>>>>>>>>>>>>>>>> | 42% | |>>>>>>>>>>>>>>>>>>>>>>>>>> | 43% | |>>>>>>>>>>>>>>>>>>>>>>>>>>> | 43% | |>>>>>>>>>>>>>>>>>>>>>>>>>>> | 44% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 44% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 45% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 46% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 46% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 47% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 48% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 48% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 49% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 49% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 50% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 51% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 51% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 52% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 52% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 53% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 54% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 54% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 55% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 56% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 56% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 57% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 57% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 58% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 59% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 59% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 60% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 60% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 61% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 62% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 62% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 63% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 64% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 64% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 65% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 65% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 66% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 67% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 67% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 68% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 69% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 69% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 70% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 70% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 71% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 72% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 72% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 73% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 73% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 74% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 75% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 75% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 76% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 77% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 77% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 78% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 78% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 79% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 80% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 80% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 81% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 81% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 82% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 83% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 83% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 84% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 85% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 85% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 86% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 86% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 87% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 88% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 88% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 89% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 90% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 90% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 91% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 91% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 92% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 93% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 93% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 94% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 94% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 95% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 96% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 96% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 97% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 98% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 98% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> | 99% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>| 99% | |>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>| 100%
##
## **************** DIRECT AND INDIRECT EFFECTS OF X ON Y ****************
##
## Direct effect of X on Y:
## effect se t p LLCI ULCI
## 0.3376 0.1309 2.5778 0.0105 0.0798 0.5953
##
## Indirect effect(s) of X on Y:
## Effect BootSE BootLLCI BootULCI
## R_AVG 0.1506 0.0690 0.0216 0.2941
##
## ******************** ANALYSIS NOTES AND ERRORS ************************
##
## Level of confidence for all confidence intervals in output: 95
##
## Number of bootstraps for percentile bootstrap confidence intervals: 5000
Path summary:
| Path | Description |
|---|---|
| X → M (a) | Pill (vs. Gum) → Perceived Risk |
| M → Y (b) | Perceived Risk → Warning & Regulation Willingness |
| X → Y direct (c’) | Pill (vs. Gum) → W_AVG, controlling for Risk |
| X → Y total (c) | Total effect of format on W_AVG |
| Indirect (a×b) | Effect of format on W_AVG via Risk |
End of Analysis — Study 5