Psychometric Meta-Analysis Toolkit

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Documentation for package ‘psychmeta’ version 2.6.5

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psychmeta-package '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-squrae 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

-- misc --

.ma_r_order2 Internal function for computing individual-correction meta-analyses of correlations
.tau_squared_m_solver tau_m_squared Solver
.tau_squared_r_solver tau_r_squared Solver