This function computes second-order meta-analysis function for d values. It supports second-order analyses of bare-bones, artifact-distribution, and individual-correction meta-analyses.
ma_d_order2(k, N = NULL, d = NULL, delta = NULL, var_d = NULL,
var_d_c = NULL, ma_type = c("bb", "ic", "ad"), sample_id = NULL,
citekey = NULL, moderators = NULL, moderator_type = "simple",
construct_x = NULL, construct_y = NULL, conf_level = 0.95,
cred_level = 0.8, conf_method = "t", cred_method = "t",
var_unbiased = TRUE, hs_override = FALSE, data = NULL)Vector or column name of meta-analyses' k values.
Vector or column name of meta-analyses' total sample sizes (optional).
Vector or column name of mean observed d values.
Vector or column name of mean corrected d values.
Vector or column name of observed variances of observed d values.
Vector or column name of observed variances of corrected d values.
Type of meta-analyses being analyzed: "bb" (barebones), "ic" (individual correction), or "ad" (artifact distribution).
Vector or column name of study ID labels.
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").
Matrix or column names of moderator variables to be used in the meta-analysis (can be a vector in the case of one moderator).
Type of moderator analysis ("none", "simple", or "hierarchical").
Vector or column name of construct names for X.
Vector or column name of construct names for Y.
Confidence level to define the width of the confidence interval (default = .95).
Credibility level to define the width of the credibility interval (default = .80).
Distribution to be used to compute the width of confidence intervals. Available options are "t" for t distribution or "norm" for normal distribution.
Distribution to be used to compute the width of credibility intervals. Available options are "t" for t distribution or "norm" for normal distribution.
Logical scalar determining whether variances should be unbiased (TRUE) or maximum-likelihood (FALSE).
When TRUE, this will override settings for conf_method (will set to "norm"), cred_method (will set to "norm"), and var_unbiased (will set to FALSE).
Data frame containing columns whose names may be provided as arguments to vector arguments and/or moderators.
An object of the classes psychmeta, ma_d_as_d, ma_order2, and ma_bb, ma_ic, and/or ma_ad.