Sample Dataset: A Simple Mediation Model with b-Path Moderated-Moderation
Source:R/dat_6.R
data_med_mod_b_mod.RdA simple mediation model with moderated-mediation on the b-path.
Format
A data frame with 100 rows and 5 variables:
- x
Predictor. Numeric.
- w1
Moderator on b-path. Numeric.
- w2
Moderator on the moderating effect of w1. Numeric.
- m
Mediator. Numeric.
- y
Outcome variable. Numeric.
- c1
Control variable. Numeric.
- c2
Control variable. Numeric.
Examples
data(data_med_mod_b_mod)
dat <- data_med_mod_b_mod
summary(lm_m <- lm(m ~ x + c1 + c2, dat))
#>
#> Call:
#> lm(formula = m ~ x + c1 + c2, data = dat)
#>
#> Residuals:
#> Min 1Q Median 3Q Max
#> -2.20492 -0.61466 -0.00616 0.66926 2.99114
#>
#> Coefficients:
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) -1.28350 1.41914 -0.904 0.368
#> x 0.48501 0.09547 5.080 1.85e-06 ***
#> c1 0.03757 0.08769 0.428 0.669
#> c2 0.02441 0.08581 0.285 0.777
#> ---
#> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>
#> Residual standard error: 0.9498 on 96 degrees of freedom
#> Multiple R-squared: 0.2123, Adjusted R-squared: 0.1877
#> F-statistic: 8.625 on 3 and 96 DF, p-value: 3.987e-05
#>
summary(lm_y <- lm(y ~ m*w1*w2 + x + c1 + c2, dat))
#>
#> Call:
#> lm(formula = y ~ m * w1 * w2 + x + c1 + c2, data = dat)
#>
#> Residuals:
#> Min 1Q Median 3Q Max
#> -2.18204 -0.47099 -0.02998 0.53605 2.77463
#>
#> Coefficients:
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) -17.40513 6.18440 -2.814 0.00602 **
#> m 6.47229 1.54231 4.196 6.40e-05 ***
#> w1 5.06717 1.20737 4.197 6.39e-05 ***
#> w2 8.08655 1.97632 4.092 9.39e-05 ***
#> x 0.08443 0.10955 0.771 0.44293
#> c1 -0.09960 0.08419 -1.183 0.23995
#> c2 -0.14547 0.08432 -1.725 0.08798 .
#> m:w1 -1.23202 0.30195 -4.080 9.79e-05 ***
#> m:w2 -1.98779 0.47670 -4.170 7.06e-05 ***
#> w1:w2 -1.63594 0.39291 -4.164 7.22e-05 ***
#> m:w1:w2 0.39674 0.09034 4.391 3.09e-05 ***
#> ---
#> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>
#> Residual standard error: 0.9022 on 89 degrees of freedom
#> Multiple R-squared: 0.4306, Adjusted R-squared: 0.3667
#> F-statistic: 6.732 on 10 and 89 DF, p-value: 1.025e-07
#>