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