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