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