Convert the variance of d to the variance of r via TSA
Multivariate select/correction for vectors of means
Convert effect sizes and compute confidence intervals
Correct correlations for artificial dichotomization of one or both variables
Control function to curate intercorrelations to be used in automatic compositing routine
Construct a credibility interval
Correct correlations for uneven/unrepresentative splits
Convert the variance of a dichotomous variable (i.d., pq) to the proportion of one of the categories in the variable (i.e., p)
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 the variance of r to the variance of d via TSA
Correct correlations for scale coarseness
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
Meta-analysis of OCB correlations with other constructs
Correct correlations for range restriction and/or measurement error
Function to convert meta-analysis of correlations to d values or vice-versa
Control for psychmeta meta-analyses
Correct correlations for small-sample bias
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
Generate an artifact distribution object for use in artifact-distribution meta-analysis programs.
Correct for small-sample bias in Cohen's d values
Correct d values for range restriction and/or measurement error
Create an array of all possible combinations of artifact values from 2-4 artifact distributions
Convert the SD of d to the SD of r via TSA
Convert the SD of r to the SD of d via TSA
Compute linear regression models and generate "lm" objects from covariance matrices.
Multivariate select/correction for covariance matrices
Estimate descriptive statistics of square-root reliabilities
Hypothetical d value dataset simulated with sampling error only
Hypothetical dataset simulated to satisfy the assumptions of the correction for measurement error only
Hypothetical dataset simulated to satisfy the assumptions of the univariate correction for indirect range restriction
Hypothetical correlation dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructs
Correct for small-sample bias in Glass' \(\Delta\) values
Meta-analysis of d values
Estimate descriptive statistics of reliabilities
Hypothetical d value dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructs
Return rows with matching conditions
Hypothetical dataset simulated to satisfy the assumptions of the bivariate correction for direct range restriction
Taylor Series Approximation of variance of \(\rho\) corrected for psychometric artifacts
Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios
Taylor Series Approximation of effect-size variances corrected for psychometric artifacts
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
Filter a list to remove NULL entries
Interactive artifact-distribution meta-analysis correcting for Case IV indirect range restriction and measurement error
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
Estimation of statistics computed from products of random, normal variables
Create wide-format datasets in simulate_r_database
Supplemental heterogeneity statistics for meta-analyses
Estimate covariance matrices and mean vectors containing product terms
Impute missing and impossible artifact values
Null artifact distribution result: No corrections performed
Generate a list of references included in meta-analyses
Filter meta-analyses
Filter to detect and remove impossible values in vectors of correlations and sample sizes.
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
Generate a system of folders from a file path to a new directory
Extract results from a psychmeta meta-analysis object
Interactive artifact-distribution meta-analysis correcting for Case V indirect range restriction and measurement error
Add metabulate equation commands and LaTeX dependencies
Generate an artifact distribution object for a dichotomous grouping variable.
Taylor series approximation artifact-distribution meta-analysis correcting for Case II direct range restriction and measurement error
Taylor series approximations for the variances of estimates artifact distributions.
Create a tibble of artifact distributions by construct
Interactive 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
Confidence limits of tau
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
Warning message for the widths of uncertainty intervals
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
Compute meta-regressions
Merge multiple "simdat_d_database" class objects
Taylor series approximation 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
Retrieve the NEWS file for the psychmeta package
Copy class and attributes from the original version of an object to a modified version.
Screen to detect invalid Taylor series artifact distribution objects
Taylor series approximation artifact-distribution meta-analysis correcting for measurement error
Screen to detect impossible values in vectors of correlations and sample sizes.
Descriptive statistics for a mixture distribution
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 mixture covariance matrix from within-group covariance matrices
Artifact-distribution meta-analysis of the validity of interviews
Print methods for psychmeta
Non-linear estimate of variance of \(\rho\) corrected for psychometric artifacts using numeric integration
Simulate correlation databases of primary studies
psychmeta : Psychometric meta-analysis toolkit
Bare-bones meta-analysis of parenting and childhood depression
Analytic estimate of the sampling variance of alpha
Spearman-Brown prophecy formula to estimate the reliability of a lengthened measure
Estimate u ratios from available artifact information
Taylor series approximation artifact-distribution meta-analysis correcting for Raju and Burke's case 2 direct range restriction and measurement error
Estimate the error variance Cohen's d values
Estimate the error variance of u ratios
Filter to remove impossible values from vectors of reliabilities and corresponding weights.
Warning message for invalid variances
Extract a long-format correlation database from a correlation matrix and its supporting vectors/matrices of variable information
Taylor series approximation artifact-distribution meta-analysis correcting for Raju and Burke's case 2 direct range restriction and measurement error
Create funnel plots
Simulation of data with measurement error and range-restriction artifacts
Assemble a variance-covariance matrix
Estimate the error variance of reliability estimates
Estimate the error variance of the probability-based effect size (A, AUC, the common language effect size [CLES])
Estimate the average within-group correlation from a mixture correlation for two groups
Taylor series approximation of the sampling variance of correlations corrected using the Case V correction for indirect range restriction
Create long-format datasets in simulate_r_database
Truncation function for variances
Second-order meta-analysis function for d values
Prediction method for objects of classes deriving from "lm_mat"
Filter to remove impossible values from vectors of u ratios and corresponding weights.
Bare-bones meta-analysis of generic effect sizes
Screen to detect impossible values in vectors of reliability estimates.
Estimate the error variance of square roots of reliability estimates
Estimate average within-group covariance matrices from a mixture covariance matrix
Format numbers for presentation
Meta-analysis of correlations
Screen to detect impossible values in vectors of u ratios.
Interactive artifact-distribution meta-analysis correcting for Case V indirect range restriction and measurement error
Generate a list of simulated sample matrices sampled from the Wishart distribution
Merge multiple "simdat_r_database" class objects
Organization of moderator data for use in meta-analyses
Write a summary table of meta-analytic results
Create forest plots
Second-order meta-analysis function for correlations
Estimate the error variance of correlations
Wrapper function to compute meta-analytic results for all analyses.
Simulate Monte Carlo psychometric data (observed, true, and error scores)
Compute weighted covariances
Weighted descriptive statistics for a vector of numbers
Estimate the mixture correlation for two groups
Organize a database of multi-construct or moderated information
Warning message for scalar arguments receiving multiple values
Sensitivity analyses for meta-analyses
Screen to detect invalid interactive artifact distribution objects
Summary of FYI messages generated within a function
Generate a vector of simulated sample alpha coefficients
Summary of warning messages generated within a function
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
Summarize artifact information from meta-analyses into table format
Summary methods for psychmeta
Truncation function for normal distributions (truncates both mean and variance)
Truncation function for means
Estimate the error variance of Glass' delta values
Estimate the error variance Hedge's g values
Matrix formula to estimate the correlation between two weighted or unweighted composite variables
Scalar formula to estimate the reliability of a composite variable
Scalar formula to estimate the correlation between a composite and another variable or between two composite variables
Scalar formula to estimate the standardized mean difference associated with a composite variable
Compute coefficient alpha
Matrix formula to estimate the reliability of a weighted or unweighted composite variable
Matrix formula to estimate the standardized mean difference associated with a weighted or unweighted composite variable
Matrix formula to estimate the u ratio of a composite variable
Comprehensive \(d_{Mod}\) calculator
Check whether wt_type argument is valid and determine which package to use for weights
Scalar formula to estimate the u ratio of a composite variable
Adjusted sample size for a non-Cohen d value for use in a meta-analysis of Cohen's d values
Adjusted sample size for a non-Pearson correlation coefficient for use in a meta-analysis of Pearson correlations
Function for computing non-parametric \(d_{Mod}\) effect sizes for a single focal group
Confidence interval method for objects of classes deriving from "lm_mat"
Clean warnings and remove warnings present in the environment before running the function of interest
Construct a confidence interval
Function for computing parametric \(d_{Mod}\) effect sizes for any number of focal groups
Construct a confidence interval for correlations using Fisher's z transformation