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Simulation Results

Usage

data(results)

Format

A dataframe with 24 columns:

taskid

Task ID.

replications

Number of replications.

effect

Total, direct, or indirect effect.

interval

Time interval.

dynamics

Dynamics. 0 for original drift matrix, -1 for near-neutral dynamics, and 1 for stronger damping.

parameter

Population parameter.

method

Method used to generate confidence intervals.

xmy

If TRUE, the mediation model is \(X \to M \to Y\). If FALSE, the mediation model is \(Y \to M \to X\).

std

If TRUE, standardized total, direct, and indirect effects. If FALSE, unstandardized total, direct, and indirect effects.

n

Sample size.

est

Mean parameter estimate.

se

Mean standard error.

z

Mean \(z\) statistic.

p

Mean \(p\)-value.

R

Number of Monte Carlo replications.

ll

Mean lower limit of the 95% confidence interval.

ul

Mean upper limit of the 95% confidence interval.

sig

Proportion of statistically significant results.

zero_hit

Proportion of replications where the confidence intervals contained zero.

theta_hit

Proportion of replications where the confidence intervals contained the population parameter.

sq_error

Mean squared error.

se_bias

Bias in standard error estimate.

coverage

Coverage probability.

power

Statistical power.

Author

Ivan Jacob Agaloos Pesigan