results_mvn_mnar_nb.fiml_ci: Results: Simple Mediation Model - Multivariate Normal...

In jeksterslabds/jeksterslabRmedsimple: Jekster's Lab Simple Mediation Model Utilities

Description

Results: Simple Mediation Model - Multivariate Normal Distribution - Data Missing Not at Random - Nonparametric Bootstrap Confidence Intervals using Full Information Maximum Likelihood

Usage

results_mvn_mnar_nb.fiml_ci

Format

A data frame with the following variables

taskid

Simulation task identification number.

n

Sample size.

simreps

Monte Carlo replications.

taudot

Population slope of path from x to y ≤ft( \dot{τ} \right)

beta

Population slope of path from m to y ≤ft( β \right)

alpha

Population slope of path from x to m ≤ft( α \right)

alphabeta

Population indirect effect of x on y through m ≤ft( α β \right)

sigma2x

Population variance of x ≤ft( σ_{x}^{2} \right)

sigma2epsilonm

Population error variance of m ≤ft( σ_{\varepsilon_{m}}^{2} \right)

sigma2epsilony

Population error variance of y ≤ft( σ_{\varepsilon_{y}}^{2} \right)

mux

Population mean of x ≤ft( μ_x \right).

deltam

Population intercept of m ≤ft( δ_m \right).

deltay

Population intercept of y ≤ft( δ_y \right).

est

Mean of the estimate of the indirect effect ≤ft( \hat{α} \hat{β} \right).

se

Mean of the estimate of standard error of the indirect effect ≤ft( \hat{α} \hat{β} \right).

reps

Monte Carlo method of bootstrap replications.

ci_0.05

Mean of the lower limit confidence interval for the 99.9% confidence interval.

ci_0.5

Mean of the lower limit confidence interval for the 99% confidence interval.

ci_2.5

Mean of the lower limit confidence interval for the 95% confidence interval.

ci_97.5

Mean of the upper limit confidence interval for the 95% confidence interval.

ci_99.5

Mean of the upper limit confidence interval for the 99% confidence interval.

ci_99.95

Mean of the upper limit confidence interval for the 99.9% confidence interval.

zero_hit_99.9

Mean zero hit for the 99.9% confidence interval.

zero_hit_99

Mean zero hit for the 99% confidence interval.

zero_hit_95

Mean zero hit for the 95% confidence interval.

len_99.9

Mean confidence interval length for the 99.9% confidence interval.

len_99

Mean confidence interval length for the 99% confidence interval.

len_95

Mean confidence interval length for the 95% confidence interval.

shape_99.9

Mean confidence interval shape for the 99.9% confidence interval.

shape_99

Mean confidence interval shape for the 99% confidence interval.

shape_95

Mean confidence interval shape for the 95% confidence interval.

theta_hit_99.9

Mean theta hit for the 99.9% confidence interval.

theta_hit_99

Mean theta hit for the 99% confidence interval.

theta_hit_95

Mean theta hit for the 95% confidence interval.

theta_miss_99.9

Mean theta miss for the 99.9% confidence interval.

theta_miss_99

Mean theta miss for the 99% confidence interval.

theta_miss_95

Mean theta miss for the 95% confidence interval.

theta

Population parameter α β.

power_99.9

Mean power for the 99.9% confidence interval.

power_99

Mean power for the 99% confidence interval.

power_95

Mean power for the 95% confidence interval.

liberal_ll_99.9

Lower limit of the liberal criteria for the 99.9% confidence interval.

liberal_ul_99.9

Upper limit of the liberal criteria for the 99.9% confidence interval.

moderate_ll_99.9

Lower limit of the moderate criteria for the 99.9% confidence interval.

moderate_ul_99.9

Upper limit of the moderate criteria for the 99.9% confidence interval.

strict_ll_99.9

Lower limit of the strict criteria for the 99.9% confidence interval.

strict_ul_99.9

Upper limit of the strict criteria for the 99.9% confidence interval.

liberal_ll_99

Lower limit of the liberal criteria for the 99% confidence interval.

liberal_ul_99

Upper limit of the liberal criteria for the 99% confidence interval.

moderate_ll_99

Lower limit of the moderate criteria for the 99% confidence interval.

moderate_ul_99

Upper limit of the moderate criteria for the 99% confidence interval.

strict_ll_99

Lower limit of the strict criteria for the 99% confidence interval.

strict_ul_99

Upper limit of the strict criteria for the 99% confidence interval.

liberal_ll_95

Lower limit of the liberal criteria for the 95% confidence interval.

liberal_ul_95

Upper limit of the liberal criteria for the 95% confidence interval.

moderate_ll_95

Lower limit of the moderate criteria for the 95% confidence interval.

moderate_ul_95

Upper limit of the moderate criteria for the 95% confidence interval.

strict_ll_95

Lower limit of the strict criteria for the 95% confidence interval.

strict_ul_95

Upper limit of the strict criteria for the 95% confidence interval.

serlin_ll_95

Lower limit of the Serlin criteria for the 95% confidence interval.

serlin_ul_95

Upper limit of the Serlin criteria for the 95% confidence interval.

liberal_99.9

Logical. 1 if miss rate is inside the liberal robustness criteria for 99.9% confidence interval.

liberal_99

Logical. 1 if miss rate is inside the liberal robustness criteria for 99% confidence interval.

liberal_95

Logical. 1 if miss rate is inside the liberal robustness criteria for 95% confidence interval.

moderate_99.9

Logical. 1 if miss rate is inside the moderate robustness criteria for 99.9% confidence interval.

moderate_99

Logical. 1 if miss rate is inside the moderate robustness criteria for 99% confidence interval.

moderate_95

Logical. 1 if miss rate is inside the moderate robustness criteria for 95% confidence interval.

strict_99.9

Logical. 1 if miss rate is inside the strict robustness criteria for 99.9% confidence interval.

strict_99

Logical. 1 if miss rate is inside the strict robustness criteria for 99% confidence interval.

strict_95

Logical. 1 if miss rate is inside the strict robustness criteria for 95% confidence interval.

serlin_95

Logical. 1 if miss rate is inside the Serlin robustness criteria for 95% confidence interval.

missing

Type of missingness.

std

Standardized vs. unstandardize indirect effect.

Method

Method used. Fit in this case.

n_label

Sample size labels.

alpha_label

α labels.

beta_label

β labels.

taudot_label

\dot{τ} labels.

theta_label

θ labels.

Details

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\} .

See Also

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_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, results_vm_sev_sem_mc.mvn_ci

Examples

data(results_mvn_mnar_nb.fiml_ci, package = "jeksterslabRmedsimple")
head(results_mvn_mnar_nb.fiml_ci)
str(results_mvn_mnar_nb.fiml_ci)

jeksterslabds/jeksterslabRmedsimple documentation built on Oct. 16, 2020, 11:30 a.m.