results_mvn_std_mc.mvn.tb_ci: Results: Simple Mediation Model - Multivariate Normal...
In jeksterslabds/jeksterslabRmedsimple: Jekster's Lab Simple Mediation Model Utilities
Description
Usage
Format
Details
See Also
Examples
Description
Results: Simple Mediation Model - Multivariate Normal Distribution - Standardized - Complete Data - Monte Carlo Method Confidence Intervals with Ordinary Least Squares Parameter Estimates and Text Book Standard Errors
Usage
1
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 functions:
results_mvn_std_fit.sem,
results_mvn_std_mc.mvn.delta_ci,
results_mvn_std_mc.mvn.sem_ci,
results_mvn_std_mc.wishart_ci,
results_mvn_std_nb_ci,
results_mvn_std_pb.mvn_ci
Examples
1
2
3
data(results_mvn_std_mc.mvn.tb_ci, package = "jeksterslabRmedsimple")
head(results_mvn_std_mc.mvn.tb_ci)
str(results_mvn_std_mc.mvn.tb_ci)
jeksterslabds/jeksterslabRmedsimple documentation built on Oct. 16, 2020, 11:30 a.m.
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Description Usage Format Details See Also Examples
Description
Results: Simple Mediation Model - Multivariate Normal Distribution - Standardized - Complete Data - Monte Carlo Method Confidence Intervals with Ordinary Least Squares Parameter Estimates and Text Book Standard Errors
Usage
1 |
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
xtoy≤ft( \dot{τ} \right) - beta
-
Population slope of path from
mtoy≤ft( β \right) - alpha
-
Population slope of path from
xtom≤ft( α \right) - alphabeta
-
Population indirect effect of
xonythroughm≤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 functions:
results_mvn_std_fit.sem,
results_mvn_std_mc.mvn.delta_ci,
results_mvn_std_mc.mvn.sem_ci,
results_mvn_std_mc.wishart_ci,
results_mvn_std_nb_ci,
results_mvn_std_pb.mvn_ci
Examples
1 2 3 | data(results_mvn_std_mc.mvn.tb_ci, package = "jeksterslabRmedsimple")
head(results_mvn_std_mc.mvn.tb_ci)
str(results_mvn_std_mc.mvn.tb_ci)
|
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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