dot-heterogeneity: Computation of heterogeneity indices from meta-analytic...
In jadahlke/psychmeta: Psychometric Meta-Analysis Toolkit

.heterogeneity

R Documentation

Computation of heterogeneity indices from meta-analytic results

Description

Computation of heterogeneity indices from meta-analytic results

Usage

.heterogeneity(
  mean_es,
  var_es,
  var_pre,
  var_res,
  var_e = NA,
  var_art = NA,
  wt_vec,
  N,
  k,
  es_vec,
  vare_vec,
  es_failsafe = NULL,
  conf_level = 0.95,
  es_type = "es",
  wt_type,
  ma_method,
  var_unbiased,
  var_res_ci_method
)

Arguments

`mean_es`	The mean effect size.
`var_es`	The observed variances of effect sizes.
`var_pre`	The total predicted variance of effect sizes due to sampling error and other artifacts.
`var_res`	The estimated residual variance of effect sizes.
`var_e`	The predicted variance of effect sizes due to sampling error.
`var_art`	The predicted variance of effect sizes predicted from other artifacts.
`wt_vec`	The vector of weights used in the meta-analysis.
`N`	The total sample size of the meta-analysis.
`k`	The number of effect sizes included in the meta-analysis.
`es_vec`	The vector of effect sizes used in the meta-analysis.
`vare_vec`	The vector of sampling-error variances used in the meta-analysis.
`es_failsafe`	Failsafe value of the effect size for use in file-drawer analyses.
`conf_level`	Confidence level to define the width of the confidence interval (default = .95).
`es_type`	Name of effect-size type.
`wt_type`	Weighting method.
`ma_method`	What artifact correction method is used. Options are "bb", "ic", and "ad".
`var_unbiased`	Are variances calculated using the unbiased (`TRUE`) or maximum likelihood (`FALSE`) estimator?
`var_res_ci_method`	Method to use to estimate a confidence interval for `var_res`. See `heterogeneity()` for details.