Clean warnings and remove warnings present in the environment before running the function of interest
Scalar formula to estimate the standardized mean difference associated with a composite variable
Adjusted sample size for a non-Cohen d value for use in a meta-analysis of Cohen's d values
Wald-type tests for moderators in psychmeta meta-analyses
Matrix formula to estimate the standardized mean difference associated with a weighted or unweighted composite variable
Check whether wt_type argument is valid and determine which package to use for weights
Adjusted sample size for a non-Pearson correlation coefficient for use in a meta-analysis of Pearson correlations
Scalar formula to estimate the correlation between a composite and another variable or between two composite variables
Matrix formula to estimate the correlation between two weighted or unweighted composite variables
Matrix formula to estimate the reliability of a weighted or unweighted composite variable
Construct a confidence interval for correlations using Fisher's z transformation
Comprehensive \(d_{Mod}\) calculator
Matrix formula to estimate the u ratio of a composite variable
Function for computing non-parametric \(d_{Mod}\) effect sizes for a single focal group
Scalar formula to estimate the u ratio of a composite variable
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.
Scalar formula to estimate the reliability of a composite variable
Construct a confidence interval
Compute coefficient alpha
Function for computing parametric \(d_{Mod}\) effect sizes for any number of focal groups
Convert the dichotomous variable variance to a proportion
Control for psychmeta meta-analyses
Confidence interval method for objects of classes deriving from "lm_mat"
Control function to curate intercorrelations to be used in automatic compositing routine
convert_reltype2consistency
Convert string variable containing reliability type indicators to a logical variable indicating whether a reliability value is an internal-consistency estimate or a multiple-administration estimate
convert_consistency2reltype
Convert logical variable indicating whether a reliability value is an internal-consistency estimate or a multiple-administration estimate to a string variable of generic reliability types
Convert the SD of d to the SD of r via TSA
Convert the SD of r to the SD of d via TSA
Function to convert meta-analysis of correlations to d values or vice-versa
Convert effect sizes
Correct correlations for scale coarseness
Correct correlations for range restriction and/or measurement error
Multivariate select/correction for vectors of means
Correct correlations for small-sample bias
Correct \(d\) values for measurement error and/or range restriction
Correct for small-sample bias in Cohen's \(d\) values
Convert the variance of r to the variance of d via TSA
Multivariate select/correction for covariance matrices
Generate an artifact distribution object for use in artifact-distribution meta-analysis programs.
Correct for small-sample bias in Glass' \(\Delta\) values
Convert the variance of d to the variance of r via TSA
Correct correlations for artificial dichotomization of one or both variables
Construct a credibility interval
Correct correlations for uneven/unrepresentative splits
Meta-analysis of OCB correlations with other constructs
Hypothetical d value dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructs
Create an array of all possible combinations of artifact values from 2-4 artifact distributions
Hypothetical d value dataset simulated with sampling error only
Create a tibble of artifact distributions by construct
Generate an artifact distribution object for a dichotomous grouping variable.
Second order meta-analysis of operational validities of big five personality measures across East Asian countries
Artifact-distribution meta-analysis of the correlation between school grades and cognitive ability
Artifact-distribution meta-analysis of the validity of interviews
Hypothetical dataset simulated to satisfy the assumptions of the bivariate correction for indirect range restriction
Hypothetical dataset simulated to satisfy the assumptions of the univariate correction for direct range restriction
Bare-bones meta-analysis of parenting and childhood depression
Hypothetical dataset simulated to satisfy the assumptions of the univariate correction for indirect range restriction
Internal function to attenuate correlations using Raju and Burke's formula for univariate direct range restriction
Internal function to undo the Case II correction for univariate direct range restriction
Function to convert a meta-analysis of correlations to a meta-analysis of d values or vice-versa (does one table)
Internal function to undo the Case IV correction for univariate indirect range restriction
Internal function to compute the Case IV correction for univariate indirect range restriction
Identify meta-analysis type and provide new column names for a meta-analysis
Computation of heterogeneity indices from meta-analytic results
Internal function to undo the Case V correction for bivariate indirect range restriction
Hypothetical dataset simulated to satisfy the assumptions of the correction for measurement error only
Create a tabular array of artifact information summarizing values and weights of values in an interactive artifact distribution
Internal function to compute the Case II correction for univariate direct range restriction
Internal function for computing individual-correction meta-analyses of correlations
Hypothetical dataset simulated to satisfy the assumptions of the bivariate correction for direct range restriction
Hypothetical correlation dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructs
Internal function for computing bootstrapped individual-correction meta-analyses of all varieties
Internal function for computing bootstrapped second-order bare-bones meta-analyses of correlations
Internal function to compute the correction for bivariate direct range restriction
Internal function to compute Raju and Burke's correction for univariate direct range restriction
Internal function to undo the Case V correction for bivariate indirect range restriction
Internal function for computing meta-analyses of artifacts
Internal function to compute the Case V correction for bivariate indirect range restriction
Internal funnel-plot generator
Internal function for computing bootstrapped second-order artifact-distribution meta-analyses of correlations
Generate values from a beta distribution, given a mean and standard deviation of the distribution
Internal plotting function for forest plots
Estimate covariance matrices and mean vectors containing product terms
Internal function for computing bootstrapped bare-bones meta-analyses of correlations
Internal function for computing bare-bones meta-analyses of correlations
Internal function for computing individual-correction meta-analyses of correlations
tau_r_squared Solver
tau_m_squared Solver
Internal function for computing bootstrapped individual-correction meta-analyses of validity generalization correlations for Y
Wrapper function to facilitate bootstrapped meta-analyses
Range-restriction refinement factor (i.e., "a") for correlations' corrected sampling variances
Estimation of statistics computed from products of random, normal variables
Estimate the compound attenuation factors (i.e., "A") for correlations
Internal function for computing bare-bones meta-analyses of generic effect sizes
Compute weighted descriptive statistics for a database
Internal function for computing bootstrapped individual-correction meta-analyses of validity generalization correlations for X
Internal function for computing bootstrapped individual-correction meta-analyses of true-score correlations
Internal function for computing bootstrapped bare-bones meta-analyses of d values
Internal function for computing bootstrapped bare-bones meta-analyses of generic effect sizes
Internal function to produce lambda coefficients to use in the Case V correction for bivariate indirect range restriction.
Integration function for computing parametric signed or unsigned \(d_{Mod}\) effect sizes
for a single focal group
Estimate descriptive statistics of reliabilities
Estimate descriptive statistics of square-root reliabilities
Taylor series approximations for the variances of estimates artifact distributions.
Cumulative meta-analyses
Spearman-Brown prophecy formula to estimate the reliability of a lengthened measure
Internal function for computing bare-bones meta-analyses of d values
Internal function for computing bootstrapped second-order individual-correction meta-analyses of correlations
Print method for objects of the class "summary.lm_mat"
Print method for objects of the class "lm_mat"
Internal function for .metabulating results tables
Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios
Filter meta-analyses
Leave-one-out (i.e., jackknife) meta-analyses
Filter a list to remove NULL entries
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
Non-linear estimate of variance of \(\rho\) corrected for psychometric artifacts using numeric integration
Filter to remove impossible values from vectors of u ratios and corresponding weights.
Filter to remove impossible values from vectors of reliabilities and corresponding weights.
Create wide-format datasets in simulate_r_database
Estimate u ratios from available artifact information
Generate a list of references included in meta-analyses
Extract results from a psychmeta meta-analysis object
Taylor Series Approximation of effect-size variances corrected for psychometric artifacts
Generate a system of folders from a file path to a new directory
Taylor Series Approximation of variance of \(\rho\) corrected for psychometric artifacts
Create long-format datasets in simulate_r_database
Format numbers for presentation
Filter to detect and remove impossible values in vectors of meta-analytic mean correlations and numbers of studies
Filter to detect and remove impossible values in vectors of correlations and sample sizes.
Compute linear regression models and generate "lm" objects from covariance matrices.
Bare-bones meta-analysis of generic effect sizes
Confidence limits of tau-squared
Confidence limits of tau
Warning message for the widths of uncertainty intervals
Meta-analysis of d values
Supplemental heterogeneity statistics for meta-analyses
Second-order meta-analysis function for d values
Meta-analysis of correlations
Impute missing and impossible artifact values
Taylor series approximation artifact-distribution meta-analysis correcting for Case V indirect range restriction and measurement error
Interactive artifact-distribution meta-analysis correcting for Case II direct range restriction and measurement error
Interactive artifact-distribution meta-analysis correcting for Case II direct range restriction and measurement error
Taylor series approximation artifact-distribution meta-analysis correcting for Case II direct range restriction and measurement error
Taylor series approximation artifact-distribution meta-analysis correcting for Raju and Burke's case 2 direct range restriction and measurement error
Interactive artifact-distribution meta-analysis correcting for Case IV indirect range restriction and measurement error
Taylor series approximation artifact-distribution meta-analysis correcting for Case II direct range restriction and measurement error
Taylor series approximation artifact-distribution meta-analysis correcting for Raju and Burke's case 1 direct range restriction and measurement error
Interactive artifact-distribution meta-analysis correcting for measurement error
Interactive artifact-distribution meta-analysis correcting for Case II direct range restriction and measurement error
Taylor series approximation artifact-distribution meta-analysis correcting for Case V indirect range restriction and measurement error
Interactive artifact-distribution meta-analysis correcting for Case V indirect range restriction and measurement error
Taylor series approximation artifact-distribution meta-analysis correcting for Raju and Burke's case 2 direct range restriction and measurement error
Interactive artifact-distribution meta-analysis correcting for Case V indirect range restriction and measurement error
Check the length of x against the length of y and replicate z if necessary
Null artifact distribution result: No corrections performed
Second-order meta-analysis function for correlations
Merge multiple "simdat_d_database" class objects
Merge multiple "simdat_r_database" class objects
Taylor series approximation artifact-distribution meta-analysis correcting for measurement error
Wrapper function to compute meta-analytic results for all analyses.
Compute meta-regressions
Taylor series approximation artifact-distribution meta-analysis correcting for Raju and Burke's case 1 direct range restriction and measurement error
Estimate mixture covariance matrix from within-group covariance matrices
Estimate the mixture correlation for two groups
Summary of warning messages generated within a function
Create forest plots
Summary of FYI messages generated within a function
Organization of moderator data for use in meta-analyses
psychmeta : Psychometric meta-analysis toolkit
Copy class and attributes from the original version of an object to a modified version.
Organize a database of multi-construct or moderated information
Prediction method for objects of classes deriving from "lm_mat"
Write a summary table of meta-analytic results
Add metabulate equation commands and LaTeX dependencies
Create funnel plots
Print methods for psychmeta
Descriptive statistics for a mixture distribution
Assemble a variance-covariance matrix
Extract a long-format correlation database from a correlation matrix and its supporting vectors/matrices of variable information
Reshape database from wide format to long format
Round numeric values to an exact number of digits and return as a character
Create sparse artifact information in a "simdat_d_database" class object
Create sparse artifact information in a "simdat_r_database" class object
Sensitivity analyses for meta-analyses
Generate a vector of simulated sample alpha coefficients
Simulate d value databases of primary studies
Simulate a sample of psychometric d value data with measurement error, direct range restriction, and/or indirect range restriction
Estimate the average within-group correlation from a mixture correlation for two groups
Truncation function for normal distributions (truncates both mean and variance)
Screen to detect invalid interactive artifact distribution objects
Warning message for scalar arguments receiving multiple values
Summarize artifact information from meta-analyses into table format
Screen to detect invalid Taylor series artifact distribution objects
Screen to detect impossible values in vectors of correlations and sample sizes.
Screen to detect impossible values in vectors of reliability estimates.
Generate a list of simulated sample matrices sampled from the Wishart distribution
Truncation function for means
Compute weighted covariances
Weighted descriptive statistics for a vector of numbers
Analytic estimate of the sampling variance of coefficient \(\alpha\)
Estimate the error variance Cohen's \(d\) values
Screen to detect impossible values in vectors of u ratios.
Estimate the error variance of the probability-based effect size (\(A\), AUC, the common language effect size [CLES])
Simulate Monte Carlo psychometric data (observed, true, and error scores)
Summary methods for psychmeta
Estimate the error variance of Spearman rank correlations
Estimate the error variance of reliability estimates
Simulation of data with measurement error and range-restriction artifacts
Estimate the error variance of linear regression multiple R (-squared)
Simulate correlation databases of primary studies
Estimate the error variance of square roots of reliability estimates
Truncation function for variances
Estimate average within-group covariance matrices from a mixture covariance matrix
Estimate the error variance Hedges's \(g\) values
Estimate the error variance of Glass's \(\Delta\) values
Estimate the error variance of \(u\) ratios
Warning message for invalid variances
Estimate the error variance of correlations
Taylor series approximation of the sampling variance of correlations corrected using the bivariate indirect range restriction correction (Case V)