Psychometric Meta-Analysis Toolkit

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Documentation for package ‘psychmeta’ version 0.1.2

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A C D E G H M P R S T U V W

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

-- 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_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
confidence Construct a confidence interval
confidence_r Construct a confidence interval for correlations using Fisher's z transformation
convert_es Convert effect sizes and compute confidence intervals
convert_ma Function to convert meta-analysis of correlations to d values or vice-versa
correct_d Correct _d_ values for range restriction and/or measurement error
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 artifical 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.
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 statisfy the assumptions of the correction for measurement error only in multiple constructs
data_r_bvdrr Hypothetical dataset simulated to statisfy the assumptions of the bivariate correction for direct range restriction
data_r_bvirr Hypothetical dataset simulated to statisfy 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 statisfy the assumptions of the correction for measurement error only
data_r_meas_multi Hypothetical correlation dataset simulated to statisfy 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 statisfy the assumptions of the univariate correction for direct range restriction
data_r_uvirr Hypothetical dataset simulated to statisfy 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_ut Taylor series approximations for the variances of estimates artifact distributions.
estimate_var_ux Taylor series approximations for the variances of estimates artifact distributions.

-- G --

generate_directory Generate a system of folders from a file path to a new directory

-- H --

heterogeneity Supplemental heterogeneity statistics for meta-analyses

-- M --

ma_d Master framework for meta-analysis of _d_ values
ma_d_ad Artifact-distribution meta-analysis of _d_ values
ma_d_barebones Bare-bones meta-analysis of _d_ values
ma_d_bb Bare-bones meta-analysis of _d_ values
ma_d_ic Individual-correction meta-analysis of _d_ values
ma_d_order2 Second-order meta-analysis function for _d_ values
ma_r Master framework for meta-analysis of correlations
ma_r_ad Artifact-distribution meta-analysis of correlations
ma_r_barebones Bare-bones meta-analysis of correlations
ma_r_bb Bare-bones meta-analysis of correlations
ma_r_generic Bare-bones meta-analysis of generic effect sizes
ma_r_ic Individual-correction meta-analysis of correlations
ma_r_order2 Second-order meta-analysis function for correlations
merge_simdat_d Merge multiple "simdat_d" class objects
merge_simdat_r Merge multiple "simdat_r" class objects
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 --

psychmeta 'psychmeta': Psychometric meta-analysis toolkit
psychmeta_news Retrieve the NEWS file for the psychmeta package

-- R --

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" class object
sparsify_simdat_r Create sparse artifact information in a "simdat_r" class object

-- 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_alpha Analytic estimate of the sampling variance of alpha
var_error_d Estimate the error variance Cohen's d values
var_error_delta Estimate the error variance of Glass' delta values
var_error_g Estimate the error variance Hedge's g values
var_error_q Estimate the error variance of square roots of reliability estimates
var_error_r Estimate the error variance of correlations
var_error_rel Estimate the error variance of reliability estimates
var_error_r_bvirr Taylor series approximation of the sampling variance of correlations corrected using the Case V correction for indirect range restriction
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