Psychometric Meta-Analysis Toolkit

Documentation for package ‘psychmeta’ version 2.7.0

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'psychmeta': Psychometric meta-analysis toolkit

-- A --

adjust_n_d	Adjusted sample size for a non-Cohen _d_ value for use in a meta-analysis of Cohen's _d_ values
adjust_n_r	Adjusted sample size for a non-Pearson correlation coefficient for use in a meta-analysis of Pearson correlations
anova.ma_psychmeta	Wald-type tests for moderators in psychmeta meta-analyses

-- C --

composite_d_matrix	Matrix formula to estimate the standardized mean difference associated with a weighted or unweighted composite variable
composite_d_scalar	Scalar formula to estimate the standardized mean difference associated with a composite variable
composite_rel_matrix	Matrix formula to estimate the reliability of a weighted or unweighted composite variable
composite_rel_scalar	Scalar formula to estimate the reliability of a composite variable
composite_r_matrix	Matrix formula to estimate the correlation between two weighted or unweighted composite variables
composite_r_scalar	Scalar formula to estimate the correlation between a composite and another variable or between two composite variables
composite_u_matrix	Matrix formula to estimate the u ratio of a composite variable
composite_u_scalar	Scalar formula to estimate the u ratio of a composite variable
compute_alpha	Compute coefficient alpha
compute_dmod	Comprehensive d_Mod calculator
compute_dmod_npar	Function for computing non-parametric d_Mod effect sizes for a single focal group
compute_dmod_par	Function for computing parametric d_Mod effect sizes for any number of focal groups
conf.limits.nc.chisq	Confidence limits for noncentral chi square parameters (function and documentation from package 'MBESS' version 4.4.3) Function to determine the noncentral parameter that leads to the observed 'Chi.Square'-value, so that a confidence interval for the population noncentral chi-square value can be formed.
confidence	Construct a confidence interval
confidence_r	Construct a confidence interval for correlations using Fisher's z transformation
confint	Confidence interval method for objects of classes deriving from 'lm_mat'
control_intercor	Control function to curate intercorrelations to be used in automatic compositing routine
control_psychmeta	Control for 'psychmeta' meta-analyses
convert_es	Convert effect sizes
convert_ma	Function to convert meta-analysis of correlations to d values or vice-versa
convert_meta	Function to convert meta-analysis of correlations to d values or vice-versa
correct_d	Correct d values for measurement error and/or range restriction
correct_d_bias	Correct for small-sample bias in Cohen's d values
correct_glass_bias	Correct for small-sample bias in Glass' Delta values
correct_matrix_mvrr	Multivariate select/correction for covariance matrices
correct_means_mvrr	Multivariate select/correction for vectors of means
correct_r	Correct correlations for range restriction and/or measurement error
correct_r_bias	Correct correlations for small-sample bias
correct_r_coarseness	Correct correlations for scale coarseness
correct_r_dich	Correct correlations for artificial dichotomization of one or both variables
correct_r_split	Correct correlations for uneven/unrepresentative splits
create_ad	Generate an artifact distribution object for use in artifact-distribution meta-analysis programs.
create_ad_group	Generate an artifact distribution object for a dichotomous grouping variable.
create_ad_list	Create a tibble of artifact distributions by construct
create_ad_tibble	Create a tibble of artifact distributions by construct
credibility	Construct a credibility interval

-- D --

data_d_bb_multi	Hypothetical _d_ value dataset simulated with sampling error only
data_d_meas_multi	Hypothetical _d_ value dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructs
data_r_bvdrr	Hypothetical dataset simulated to satisfy the assumptions of the bivariate correction for direct range restriction
data_r_bvirr	Hypothetical dataset simulated to satisfy the assumptions of the bivariate correction for indirect range restriction
data_r_gonzalezmule_2014	Meta-analysis of OCB correlations with other constructs
data_r_mcdaniel_1994	Artifact-distribution meta-analysis of the validity of interviews
data_r_mcleod_2007	Bare-bones meta-analysis of parenting and childhood depression
data_r_meas	Hypothetical dataset simulated to satisfy the assumptions of the correction for measurement error only
data_r_meas_multi	Hypothetical correlation dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructs
data_r_oh_2009	Second order meta-analysis of operational validities of big five personality measures across East Asian countries
data_r_roth_2015	Artifact-distribution meta-analysis of the correlation between school grades and cognitive ability
data_r_uvdrr	Hypothetical dataset simulated to satisfy the assumptions of the univariate correction for direct range restriction
data_r_uvirr	Hypothetical dataset simulated to satisfy the assumptions of the univariate correction for indirect range restriction

-- E --

estimate_artifacts	Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios
estimate_cor_prods	Estimation of statistics computed from products of random, normal variables
estimate_cov_prods	Estimation of statistics computed from products of random, normal variables
estimate_length_sb	Inverse Spearman-Brown formula to estimate the amount by which a measure would have to be lengthened or shorted to achieve a desired level of reliability
estimate_mean_prod	Estimation of statistics computed from products of random, normal variables
estimate_prod	Estimation of statistics computed from products of random, normal variables
estimate_q_dist	Estimate descriptive statistics of square-root reliabilities
estimate_rel_dist	Estimate descriptive statistics of reliabilities
estimate_rel_sb	Spearman-Brown prophecy formula to estimate the reliability of a lengthened measure
estimate_rxxa	Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios
estimate_rxxa_u	Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios
estimate_rxxi	Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios
estimate_rxxi_u	Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios
estimate_ryya	Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios
estimate_ryyi	Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios
estimate_u	Estimate u ratios from available artifact information
estimate_up	Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios
estimate_ut	Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios
estimate_ux	Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios
estimate_uy	Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios
estimate_var_artifacts	Taylor series approximations for the variances of estimates artifact distributions.
estimate_var_prod	Estimation of statistics computed from products of random, normal variables
estimate_var_qxa	Taylor series approximations for the variances of estimates artifact distributions.
estimate_var_qxi	Taylor series approximations for the variances of estimates artifact distributions.
estimate_var_qya	Taylor series approximations for the variances of estimates artifact distributions.
estimate_var_qyi	Taylor series approximations for the variances of estimates artifact distributions.
estimate_var_rho_int	Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integration
estimate_var_rho_int_bvdrr	Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integration
estimate_var_rho_int_bvirr	Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integration
estimate_var_rho_int_meas	Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integration
estimate_var_rho_int_rb	Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integration
estimate_var_rho_int_uvdrr	Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integration
estimate_var_rho_int_uvirr	Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integration
estimate_var_rho_tsa	Taylor Series Approximation of variance of rho corrected for psychometric artifacts
estimate_var_rho_tsa_bvdrr	Taylor Series Approximation of variance of rho corrected for psychometric artifacts
estimate_var_rho_tsa_bvirr	Taylor Series Approximation of variance of rho corrected for psychometric artifacts
estimate_var_rho_tsa_meas	Taylor Series Approximation of variance of rho corrected for psychometric artifacts
estimate_var_rho_tsa_rb1	Taylor Series Approximation of variance of rho corrected for psychometric artifacts
estimate_var_rho_tsa_rb2	Taylor Series Approximation of variance of rho corrected for psychometric artifacts
estimate_var_rho_tsa_uvdrr	Taylor Series Approximation of variance of rho corrected for psychometric artifacts
estimate_var_rho_tsa_uvirr	Taylor Series Approximation of variance of rho corrected for psychometric artifacts
estimate_var_rxxa	Taylor series approximations for the variances of estimates artifact distributions.
estimate_var_rxxi	Taylor series approximations for the variances of estimates artifact distributions.
estimate_var_ryya	Taylor series approximations for the variances of estimates artifact distributions.
estimate_var_ryyi	Taylor series approximations for the variances of estimates artifact distributions.
estimate_var_tsa	Taylor Series Approximation of effect-size variances corrected for psychometric artifacts
estimate_var_tsa_bvdrr	Taylor Series Approximation of effect-size variances corrected for psychometric artifacts
estimate_var_tsa_bvirr	Taylor Series Approximation of effect-size variances corrected for psychometric artifacts
estimate_var_tsa_meas	Taylor Series Approximation of effect-size variances corrected for psychometric artifacts
estimate_var_tsa_rb1	Taylor Series Approximation of effect-size variances corrected for psychometric artifacts
estimate_var_tsa_rb2	Taylor Series Approximation of effect-size variances corrected for psychometric artifacts
estimate_var_tsa_uvdrr	Taylor Series Approximation of effect-size variances corrected for psychometric artifacts
estimate_var_tsa_uvirr	Taylor Series Approximation of effect-size variances corrected for psychometric artifacts
estimate_var_ut	Taylor series approximations for the variances of estimates artifact distributions.
estimate_var_ux	Taylor series approximations for the variances of estimates artifact distributions.

-- F --

filter_ma	Filter meta-analyses
filter_meta	Filter meta-analyses
format_num	Format numbers for presentation

-- G --

generate_bib	Generate a list of references included in meta-analyses
generate_directory	Generate a system of folders from a file path to a new directory
get_ad	Extract results from a psychmeta meta-analysis object
get_bootstrap	Extract results from a psychmeta meta-analysis object
get_cumulative	Extract results from a psychmeta meta-analysis object
get_escalc	Extract results from a psychmeta meta-analysis object
get_followup	Extract results from a psychmeta meta-analysis object
get_heterogeneity	Extract results from a psychmeta meta-analysis object
get_leave1out	Extract results from a psychmeta meta-analysis object
get_matrix	Extract results from a psychmeta meta-analysis object
get_metafor	Extract results from a psychmeta meta-analysis object
get_metareg	Extract results from a psychmeta meta-analysis object
get_metatab	Extract results from a psychmeta meta-analysis object
get_plots	Extract results from a psychmeta meta-analysis object
get_stuff	Extract results from a psychmeta meta-analysis object

-- H --

heterogeneity

Supplemental heterogeneity statistics for meta-analyses

-- L --

limits_tau	Confidence limits of tau
limits_tau2	Confidence limits of tau-squared
lm_mat	Compute linear regression models and generate "lm" objects from covariance matrices.
lm_matrix	Compute linear regression models and generate "lm" objects from covariance matrices.

-- M --

matreg	Compute linear regression models and generate "lm" objects from covariance matrices.
matrixreg	Compute linear regression models and generate "lm" objects from covariance matrices.
ma_d	Meta-analysis of _d_ values
ma_d_ad	Meta-analysis of _d_ values
ma_d_barebones	Meta-analysis of _d_ values
ma_d_bb	Meta-analysis of _d_ values
ma_d_ic	Meta-analysis of _d_ values
ma_d_order2	Second-order meta-analysis function for _d_ values
ma_generic	Bare-bones meta-analysis of generic effect sizes
ma_r	Meta-analysis of correlations
ma_r_ad	Meta-analysis of correlations
ma_r_barebones	Meta-analysis of correlations
ma_r_bb	Meta-analysis of correlations
ma_r_ic	Meta-analysis of correlations
ma_r_order2	Second-order meta-analysis function for correlations
merge_simdat_d	Merge multiple "simdat_d_database" class objects
merge_simdat_r	Merge multiple "simdat_r_database" class objects
metabulate	Write a summary table of meta-analytic results
metabulate_rmd_helper	Add metabulate equation commands and LaTeX dependencies
metareg	Compute meta-regressions
mix_dist	Descriptive statistics for a mixture distribution
mix_matrix	Estimate mixture covariance matrix from within-group covariance matrices
mix_r_2group	Estimate the mixture correlation for two groups

-- P --

plot_cefp	Create funnel plots
plot_forest	Create forest plots
plot_funnel	Create funnel plots
predict	Prediction method for objects of classes deriving from 'lm_mat'
print	Print methods for 'psychmeta'
psychmeta	'psychmeta': Psychometric meta-analysis toolkit

-- R --

reattribute	Copy class and attributes from the original version of an object to a modified version.
reshape_mat2dat	Extract a long-format correlation database from a correlation matrix and its supporting vectors/matrices of variable information
reshape_vec2mat	Assemble a variance-covariance matrix
reshape_wide2long	Reshape database from wide format to long format

-- S --

sensitivity	Sensitivity analyses for meta-analyses
sensitivity_bootstrap	Sensitivity analyses for meta-analyses
sensitivity_cumulative	Sensitivity analyses for meta-analyses
sensitivity_leave1out	Sensitivity analyses for meta-analyses
simulate_alpha	Generate a vector of simulated sample alpha coefficients
simulate_d_database	Simulate d value databases of primary studies
simulate_d_sample	Simulate a sample of psychometric d value data with measurement error, direct range restriction, and/or indirect range restriction
simulate_matrix	Generate a list of simulated sample matrices sampled from the Wishart distribution
simulate_psych	Simulate Monte Carlo psychometric data (observed, true, and error scores)
simulate_r_database	Simulate correlation databases of primary studies
simulate_r_sample	Simulation of data with measurement error and range-restriction artifacts
sparsify_simdat_d	Create sparse artifact information in a "simdat_d_database" class object
sparsify_simdat_r	Create sparse artifact information in a "simdat_r_database" class object
summary	Summary methods for 'psychmeta'

-- T --

truncate_dist	Truncation function for normal distributions (truncates both mean and variance)
truncate_mean	Truncation function for means
truncate_var	Truncation function for variances

-- U --

unmix_matrix	Estimate average within-group covariance matrices from a mixture covariance matrix
unmix_r_2group	Estimate the average within-group correlation from a mixture correlation for two groups

-- V --

var_error_A	Estimate the error variance of the probability-based effect size (A, AUC, the common language effect size [CLES])
var_error_alpha	Analytic estimate of the sampling variance of coefficient alpha
var_error_auc	Estimate the error variance of the probability-based effect size (A, AUC, the common language effect size [CLES])
var_error_cles	Estimate the error variance of the probability-based effect size (A, AUC, the common language effect size [CLES])
var_error_d	Estimate the error variance Cohen's d values
var_error_delta	Estimate the error variance of Glass's Delta values
var_error_g	Estimate the error variance Hedges's g values
var_error_mult_R	Estimate the error variance of linear regression multiple _R_(-squared)
var_error_mult_Rsq	Estimate the error variance of linear regression multiple _R_(-squared)
var_error_q	Estimate the error variance of square roots of reliability estimates
var_error_R	Estimate the error variance of linear regression multiple _R_(-squared)
var_error_r	Estimate the error variance of correlations
var_error_rel	Estimate the error variance of reliability estimates
var_error_Rsq	Estimate the error variance of linear regression multiple _R_(-squared)
var_error_r_bvirr	Taylor series approximation of the sampling variance of correlations corrected using the bivariate indirect range restriction correction (Case V)
var_error_spearman	Estimate the error variance of Spearman rank correlations
var_error_u	Estimate the error variance of u ratios

-- W --

wt_cor	Compute weighted covariances
wt_cov	Compute weighted covariances
wt_dist	Weighted descriptive statistics for a vector of numbers
wt_mean	Weighted descriptive statistics for a vector of numbers
wt_var	Weighted descriptive statistics for a vector of numbers