psychmeta (version 2.3.3)

ma_r_order2: Second-order meta-analysis function for correlations

Description

This function computes second-order meta-analysis function for correlations. It supports second-order analyses of bare-bones, artifact-distribution, and individual-correction meta-analyses.

Usage

ma_r_order2(k, N = NULL, r = NULL, rho = NULL, var_r = NULL,
  var_r_c = NULL, ma_type = c("bb", "ic", "ad"), sample_id = NULL,
  citekey = NULL, moderators = NULL, moderator_type = "simple",
  construct_x = NULL, construct_y = NULL, data = NULL,
  control = control_psychmeta(), ...)

Arguments

k

Vector or column name of meta-analyses' k values.

N

Vector or column name of meta-analyses' total sample sizes (optional).

r

Vector or column name of mean observed correlations.

rho

Vector or column name of mean corrected correlations.

var_r

Vector or column name of observed variances of observed correlations.

var_r_c

Vector or column name of observed variances of corrected correlations.

ma_type

Type of meta-analyses being analyzed: "bb" (barebones), "ic" (individual correction), or "ad" (artifact distribution).

sample_id

Vector or column name of study ID labels.

citekey

Optional vector of bibliographic citation keys for samples/studies in the meta-analysis (if multiple citekeys pertain to a given effect size, combine them into a single string entry with comma delimiters (e.g., "citkey1,citekey2").

moderators

Matrix or column names of moderator variables to be used in the meta-analysis (can be a vector in the case of one moderator).

moderator_type

Type of moderator analysis ("none", "simple", or "hierarchical").

construct_x

Vector or column name of construct names for X.

construct_y

Vector or column name of construct names for Y.

data

Data frame containing columns whose names may be provided as arguments to vector arguments and/or moderators.

control

Output from the control_psychmeta() function or a list of arguments controlled by the control_psychmeta() function. Ellipsis arguments will be screened for internal inclusion in control.

...

Further arguments to be passed to functions called within the meta-analysis.

Value

A nested tabular object of the class "ma_psychmeta".

Examples

# NOT RUN {
## Analysis of the validity of conscientiousness as a predictor of job performance in East Asia
out <- ma_r_order2(k = k, r = r_bar_i, rho = rho_bar_i, var_r = var_r,
                   var_r_c = NULL, ma_type = c("bb", "ad"),
                   sample_id = NULL, moderators = NULL,
                   construct_x = NULL, construct_y = NULL,
                   data = dplyr::filter(data_r_oh_2009, Predictor == "Conscientiousness"))
summary(out)

## Analysis of the validity of the Big Five traits as predictors of job performance in East Asia
out <- ma_r_order2(k = k, r = r_bar_i, rho = rho_bar_i, var_r = var_r,
                   var_r_c = NULL, ma_type = c("bb", "ad"),
                   sample_id = NULL, moderators = NULL, construct_x = Predictor,
                   data = data_r_oh_2009)
summary(out)

## Analysis of the average validity of the Big Five traits as predictors of
## job performance by Eastern Asian country
out <- ma_r_order2(k = k, r = r_bar_i, rho = rho_bar_i, var_r = var_r,
                   var_r_c = NULL, ma_type = c("bb", "ad"),
                   sample_id = NULL, moderators = "Country", data = data_r_oh_2009)
summary(out)
# }