Description Usage Format Details See Also Examples
Results: Simple Mediation Model - Vale and Maurelli (1983) - Skewness = 3, Kurtosis = 21 - Complete Data - Monte Carlo Method Confidence Intervals with Structural Equation Modeling Parameter Estimates and Robust Standard Errors
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A data frame with the following variables
Simulation task identification number.
Sample size.
Monte Carlo replications.
Population slope of path from x
to y
≤ft( \dot{τ} \right)
Population slope of path from m
to y
≤ft( β \right)
Population slope of path from x
to m
≤ft( α \right)
Population indirect effect of x
on y
through m
≤ft( α β \right)
Population variance of x
≤ft( σ_{x}^{2} \right)
Population error variance of m
≤ft( σ_{\varepsilon_{m}}^{2} \right)
Population error variance of y
≤ft( σ_{\varepsilon_{y}}^{2} \right)
Population mean of x
≤ft( μ_x \right).
Population intercept of m
≤ft( δ_m \right).
Population intercept of y
≤ft( δ_y \right).
Mean of the estimate of the indirect effect ≤ft( \hat{α} \hat{β} \right).
Mean of the estimate of standard error of the indirect effect ≤ft( \hat{α} \hat{β} \right).
Monte Carlo method of bootstrap replications.
Mean of the lower limit confidence interval for the 99.9% confidence interval.
Mean of the lower limit confidence interval for the 99% confidence interval.
Mean of the lower limit confidence interval for the 95% confidence interval.
Mean of the upper limit confidence interval for the 95% confidence interval.
Mean of the upper limit confidence interval for the 99% confidence interval.
Mean of the upper limit confidence interval for the 99.9% confidence interval.
Mean zero hit for the 99.9% confidence interval.
Mean zero hit for the 99% confidence interval.
Mean zero hit for the 95% confidence interval.
Mean confidence interval length for the 99.9% confidence interval.
Mean confidence interval length for the 99% confidence interval.
Mean confidence interval length for the 95% confidence interval.
Mean confidence interval shape for the 99.9% confidence interval.
Mean confidence interval shape for the 99% confidence interval.
Mean confidence interval shape for the 95% confidence interval.
Mean theta hit for the 99.9% confidence interval.
Mean theta hit for the 99% confidence interval.
Mean theta hit for the 95% confidence interval.
Mean theta miss for the 99.9% confidence interval.
Mean theta miss for the 99% confidence interval.
Mean theta miss for the 95% confidence interval.
Population parameter α β.
Mean power for the 99.9% confidence interval.
Mean power for the 99% confidence interval.
Mean power for the 95% confidence interval.
Lower limit of the liberal criteria for the 99.9% confidence interval.
Upper limit of the liberal criteria for the 99.9% confidence interval.
Lower limit of the moderate criteria for the 99.9% confidence interval.
Upper limit of the moderate criteria for the 99.9% confidence interval.
Lower limit of the strict criteria for the 99.9% confidence interval.
Upper limit of the strict criteria for the 99.9% confidence interval.
Lower limit of the liberal criteria for the 99% confidence interval.
Upper limit of the liberal criteria for the 99% confidence interval.
Lower limit of the moderate criteria for the 99% confidence interval.
Upper limit of the moderate criteria for the 99% confidence interval.
Lower limit of the strict criteria for the 99% confidence interval.
Upper limit of the strict criteria for the 99% confidence interval.
Lower limit of the liberal criteria for the 95% confidence interval.
Upper limit of the liberal criteria for the 95% confidence interval.
Lower limit of the moderate criteria for the 95% confidence interval.
Upper limit of the moderate criteria for the 95% confidence interval.
Lower limit of the strict criteria for the 95% confidence interval.
Upper limit of the strict criteria for the 95% confidence interval.
Lower limit of the Serlin criteria for the 95% confidence interval.
Upper limit of the Serlin criteria for the 95% confidence interval.
Logical. 1 if miss rate is inside the liberal robustness criteria for 99.9% confidence interval.
Logical. 1 if miss rate is inside the liberal robustness criteria for 99% confidence interval.
Logical. 1 if miss rate is inside the liberal robustness criteria for 95% confidence interval.
Logical. 1 if miss rate is inside the moderate robustness criteria for 99.9% confidence interval.
Logical. 1 if miss rate is inside the moderate robustness criteria for 99% confidence interval.
Logical. 1 if miss rate is inside the moderate robustness criteria for 95% confidence interval.
Logical. 1 if miss rate is inside the strict robustness criteria for 99.9% confidence interval.
Logical. 1 if miss rate is inside the strict robustness criteria for 99% confidence interval.
Logical. 1 if miss rate is inside the strict robustness criteria for 95% confidence interval.
Logical. 1 if miss rate is inside the Serlin robustness criteria for 95% confidence interval.
Type of missingness.
Standardized vs. unstandardize indirect effect.
Method used. Fit in this case.
Sample size labels.
α labels.
β labels.
\dot{τ} labels.
θ labels.
The simple mediation model is given by
y_i = δ_y + \dot{τ} x_i + β m_i + \varepsilon_{y_{i}}
m_i = δ_m + α x_i + \varepsilon_{m_{i}}
The parameters for the mean structure are
\boldsymbol{θ}_{\text{mean structure}} = ≤ft\{ μ_x, δ_m, δ_y \right\} .
The parameters for the covariance structure are
\boldsymbol{θ}_{\text{covariance structure}} = ≤ft\{ \dot{τ}, β, α, σ_{x}^{2}, σ_{\varepsilon_{m}}^{2}, σ_{\varepsilon_{y}}^{2} \right\} .
Other results:
results_beta_fit.ols
,
results_beta_ols_mc.mvn_ci
,
results_exp_fit.ols
,
results_exp_ols_mc.mvn_ci
,
results_mvn_fit.ols
,
results_mvn_fit.sem
,
results_mvn_mar_fit.sem
,
results_mvn_mar_mc.mvn_ci
,
results_mvn_mar_nb.fiml_ci
,
results_mvn_mar_pb.mvn_ci
,
results_mvn_mcar_fit.sem
,
results_mvn_mcar_mc.mvn_ci
,
results_mvn_mcar_nb.fiml_ci
,
results_mvn_mcar_pb.mvn_ci
,
results_mvn_mnar_fit.sem
,
results_mvn_mnar_mc.mvn_ci
,
results_mvn_mnar_nb.fiml_ci
,
results_mvn_nb_ci
,
results_mvn_ols_mc.mvn_ci
,
results_mvn_pb.mvn_ci
,
results_mvn_sem_mc.mvn_ci
,
results_vm_mod_fit.ols
,
results_vm_mod_fit.sem.mlr
,
results_vm_mod_nb_ci
,
results_vm_mod_ols_mc.mvn_ci
,
results_vm_mod_pb.mvn_ci
,
results_vm_mod_sem_mc.mvn_ci
,
results_vm_sev_fit.ols
,
results_vm_sev_fit.sem.mlr
,
results_vm_sev_nb_ci
,
results_vm_sev_ols_mc.mvn_ci
,
results_vm_sev_pb.mvn_ci
1 2 3 | data(results_vm_sev_sem_mc.mvn_ci, package = "jeksterslabRmedsimple")
head(results_vm_sev_sem_mc.mvn_ci)
str(results_vm_sev_sem_mc.mvn_ci)
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