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psychmeta

Psychometric Meta-Analysis Toolkit

Overview

The psychmeta package provides tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Currently, the package supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Please refer to the overview tutorial vignette for an introduction to psychmeta's functions and workflows.

Authors

psychmeta was written by Jeffrey A. Dahlke and Brenton M. Wiernik.

Installation

The official CRAN release of psychmeta can be installed with the following code:

install.packages("psychmeta")

Development versions of psychmeta from GitHub reflect updates made to the package between official CRAN releases. Using the devtools package, the GitHub release can be installed with the following code:

install.packages("devtools")
devtools::install_github("psychmeta/psychmeta")

Citing `psychmeta`

To cite psychmeta in your research, please refer to the package's citation information using the citation() function.

citation("psychmeta")

Reporting Issues

To report a bug or other issue, tell us about it on GitHub or email issues@psychmeta.com. For more general questions and inquiries about the package, reach out to us via Twitter or email psychmeta@psychmeta.com.

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Version

Install

install.packages('psychmeta')

Monthly Downloads

628

Version

2.3.3

License

GPL (>= 3)

Maintainer

Jeffrey A. Dahlke

Last Published

April 12th, 2019

Functions in psychmeta (2.3.3)

Second-order meta-analysis function for d values

convert_varr_to_vard

Convert the variance of r to the variance of d via TSA

.attenuate_r_uvdrr

Internal function to undo the Case II correction for univariate direct range restriction

Internal function for computing individual-correction meta-analyses of correlations

create_ad_group

Generate an artifact distribution object for a dichotomous grouping variable.

Correct d values for range restriction and/or measurement error

Correct correlations for small-sample bias

.correct_r_bvirr

Internal function to compute the Case V correction for bivariate indirect range restriction

.ma_r_order2_ic_boot

Internal function for computing bootstrapped second-order individual-correction meta-analyses of correlations

Check whether wt_type argument is valid and determine which package to use for weights

Compute coefficient alpha

manage_arglength

Check the length of x against the length of y and replicate z if necessary

conf.limits.nc.chisq

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.

Internal function for computing bootstrapped individual-correction meta-analyses of all varieties

Estimate u ratios from available artifact information

Confidence limits of tau-squared

composite_r_matrix

Matrix formula to estimate the correlation between two weighted or unweighted composite variables

Correct correlations for range restriction and/or measurement error

impute_artifacts

Impute missing and impossible artifact values

Construct a confidence interval

Estimate mixture covariance matrix from within-group covariance matrices

composite_r_scalar

Scalar formula to estimate the correlation between a composite and another variable or between two composite variables

ma_r_ad.tsa_bvirr

Taylor series approximation artifact-distribution meta-analysis correcting for Case V indirect range restriction and measurement error

composite_u_scalar

Scalar formula to estimate the u ratio of a composite variable

data_r_mcleod_2007

Bare-bones meta-analysis of parenting and childhood depression

Internal function for .metabulating results tables

sparsify_simdat_d

Create sparse artifact information in a "simdat_d_database" class object

correct_r_split

Correct correlations for uneven/unrepresentative splits

data_r_meas_multi

Hypothetical correlation dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructs

Clean warnings and remove warnings present in the environment before running the function of interest

Computation of heterogeneity indices from meta-analytic results

Internal funnel-plot generator

convert_sdd_to_sdr

Convert the SD of d to the SD of r via TSA

.estimate_attenuation

Estimate the compound attenuation factors (i.e., "A") for correlations

Second order meta-analysis of operational validities of big five personality measures across East Asian countries

Generate an artifact distribution object for use in artifact-distribution meta-analysis programs.

convert_sdr_to_sdd

Convert the SD of r to the SD of d via TSA

Extract results from a psychmeta meta-analysis object

Sensitivity analyses for meta-analyses

Hypothetical dataset simulated to satisfy the assumptions of the bivariate correction for direct range restriction

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

Hypothetical dataset simulated to satisfy the assumptions of the bivariate correction for indirect range restriction

estimate_rel_dist

Estimate descriptive statistics of reliabilities

Return rows with matching conditions

Comprehensive \(d_{Mod}\) calculator

create_ad_array

Create an array of all possible combinations of artifact values from 2-4 artifact distributions

Summary of FYI messages generated within a function

composite_d_matrix

Matrix formula to estimate the standardized mean difference associated with a weighted or unweighted composite variable

Correct for small-sample bias in Cohen's d values

convert_vard_to_varr

Convert the variance of d to the variance of r via TSA

Create funnel plots

.identify_ma_cols

Identify meta-analysis type and provide new column names for a meta-analysis

.integrate_dmod

Integration function for computing parametric signed or unsigned \(d_{Mod}\) effect sizes for a single focal group

Generate values from a beta distribution, given a mean and standard deviation of the distribution

control_intercor

Control function to curate intercorrelations to be used in automatic compositing routine

Filter to detect and remove impossible values in vectors of correlations and sample sizes.

estimate_var_tsa

Taylor Series Approximation of effect-size variances corrected for psychometric artifacts

Internal function to compute Raju and Burke's correction for univariate direct range restriction

composite_d_scalar

Scalar formula to estimate the standardized mean difference associated with a composite variable

.attenuate_r_uvirr

Internal function to undo the Case IV correction for univariate indirect range restriction

.print.summary.lm_mat

Print method for objects of the class "summary.lm_mat"

correct_glass_bias

Correct for small-sample bias in Glass' \(\Delta\) values

Internal function for computing meta-analyses of artifacts

Format numbers for presentation

composite_u_matrix

Matrix formula to estimate the u ratio of a composite variable

control_psychmeta

Control for psychmeta meta-analyses

Internal function to produce lambda coefficients to use in the Case V correction for bivariate indirect range restriction.

data_r_gonzalezmule_2014

Meta-analysis of OCB correlations with other constructs

Internal function for computing bare-bones meta-analyses of d values

data_r_mcdaniel_1994

Artifact-distribution meta-analysis of the validity of interviews

.ma_r_order2_bb_boot

Internal function for computing bootstrapped second-order bare-bones meta-analyses of correlations

composite_rel_matrix

Matrix formula to estimate the reliability of a weighted or unweighted composite variable

Print method for objects of the class "lm_mat"

ma_r_ad.int_rbOrig

Interactive artifact-distribution meta-analysis correcting for Case II direct range restriction and measurement error

Construct a confidence interval for correlations using Fisher's z transformation

Write a summary table of meta-analytic results

Estimate the mixture correlation for two groups

.ma_r_icts_boot

Internal function for computing bootstrapped individual-correction meta-analyses of true-score correlations

Retrieve the NEWS file for the psychmeta package

estimate_var_artifacts

Taylor series approximations for the variances of estimates artifact distributions.

Convert effect sizes and compute confidence intervals

correct_r_coarseness

Correct correlations for scale coarseness

Meta-analysis of d values

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

Internal function for computing bootstrapped bare-bones meta-analyses of d values

Range-restriction refinement factor (i.e., "a") for correlations' corrected sampling variances

Estimate the error variance of u ratios

Internal function for computing bootstrapped bare-bones meta-analyses of correlations

Print methods for psychmeta

Estimate average within-group covariance matrices from a mixture covariance matrix

Function to convert meta-analysis of correlations to d values or vice-versa

warning_variance

Warning message for invalid variances

Compute linear regression models and generate "lm" objects from covariance matrices.

Summarize artifact information from meta-analyses into table format

Create wide-format datasets in simulate_r_database

ma_r_ad.int_bvirr

Interactive artifact-distribution meta-analysis correcting for Case V indirect range restriction and measurement error

Second-order meta-analysis function for correlations

.convert_metatab

Function to convert a meta-analysis of correlations to a meta-analysis of d values or vice-versa (does one table)

Bare-bones meta-analysis of generic effect sizes

Internal function for computing bare-bones meta-analyses of generic effect sizes

Generate a vector of simulated sample alpha coefficients

composite_rel_scalar

Scalar formula to estimate the reliability of a composite variable

Copy class and attributes from the original version of an object to a modified version.

data_r_roth_2015

Artifact-distribution meta-analysis of the correlation between school grades and cognitive ability

Merge multiple "simdat_r_database" class objects

ma_r_ad.tsa_meas

Taylor series approximation artifact-distribution meta-analysis correcting for measurement error

Prediction method for objects of classes deriving from "lm_mat"

Correct correlations for artificial dichotomization of one or both variables

Truncation function for means

Hypothetical dataset simulated to satisfy the assumptions of the univariate correction for direct range restriction

.tau_squared_r_solver

tau_r_squared Solver

Supplemental heterogeneity statistics for meta-analyses

.correct_r_bvdrr

Internal function to compute the correction for bivariate direct range restriction

.tau_squared_m_solver

tau_m_squared Solver

estimate_artifacts

Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios

Estimate the average within-group correlation from a mixture correlation for two groups

Confidence limits of tau

Confidence interval method for objects of classes deriving from "lm_mat"

organize_database

Organize a database of multi-construct or moderated information

estimate_rel_sb

Spearman-Brown prophecy formula to estimate the reliability of a lengthened measure

Wrapper function to compute meta-analytic results for all analyses.

Summary methods for psychmeta

Screen to detect invalid Taylor series artifact distribution objects

.plot_forest_meta

Internal plotting function for forest plots

ma_r_ad.int_none

Null artifact distribution result: No corrections performed

Construct a credibility interval

Filter to remove impossible values from vectors of reliabilities and corresponding weights.

simulate_d_database

Simulate d value databases of primary studies

interval_warning

Warning message for the widths of uncertainty intervals

Truncation function for variances

ma_r_ad.int_meas

Interactive artifact-distribution meta-analysis correcting for measurement error

simulate_d_sample

Simulate a sample of psychometric d value data with measurement error, direct range restriction, and/or indirect range restriction

convert_pq_to_p

Convert the variance of a dichotomous variable (i.d., pq) to the proportion of one of the categories in the variable (i.e., p)

create_ad_tibble

Create a tibble of artifact distributions by construct

psychmeta-package

psychmeta: Psychometric meta-analysis toolkit

.attenuate_r_bvirr

Internal function to undo the Case V correction for bivariate indirect range restriction

ma_r_ad.int_uvdrr

Interactive artifact-distribution meta-analysis correcting for Case II direct range restriction and measurement error

Create long-format datasets in simulate_r_database

Descriptive statistics for a mixture distribution

ma_r_ad.tsa_rb1Adj

Taylor series approximation artifact-distribution meta-analysis correcting for Raju and Burke's case 1 direct range restriction and measurement error

sparsify_simdat_r

Create sparse artifact information in a "simdat_r_database" class object

.descriptives_database

Compute weighted descriptive statistics for a database

correct_means_mvrr

Multivariate select/correction for vectors of means

Truncation function for normal distributions (truncates both mean and variance)

filter_listnonnull

Filter a list to remove NULL entries

Filter meta-analyses

Create a tabular array of artifact information summarizing values and weights of values in an interactive artifact distribution

ma_r_ad.tsa_rb2Adj

Taylor series approximation artifact-distribution meta-analysis correcting for Raju and Burke's case 2 direct range restriction and measurement error

Create forest plots

Adjusted sample size for a non-Cohen d value for use in a meta-analysis of Cohen's d values

compute_dmod_npar

Function for computing non-parametric \(d_{Mod}\) effect sizes for a single focal group

ma_r_ad.tsa_rb2Orig

Taylor series approximation artifact-distribution meta-analysis correcting for Raju and Burke's case 2 direct range restriction and measurement error

Adjusted sample size for a non-Pearson correlation coefficient for use in a meta-analysis of Pearson correlations

data_d_bb_multi

Hypothetical d value dataset simulated with sampling error only

.correct_r_uvdrr

Internal function to compute the Case II correction for univariate direct range restriction

Estimate the error variance Hedge's g values

ma_r_ad.tsa_rb1Orig

Taylor series approximation artifact-distribution meta-analysis correcting for Raju and Burke's case 1 direct range restriction and measurement error

Estimate the error variance of the probability-based effect size (A, AUC, the common language effect size [CLES])

Estimate the error variance of reliability estimates

reshape_wide2long

Reshape database from wide format to long format

compute_dmod_par

Function for computing parametric \(d_{Mod}\) effect sizes for any number of focal groups

Round numeric values to an exact number of digits and return as a character

generate_directory

Generate a system of folders from a file path to a new directory

Hypothetical dataset simulated to satisfy the assumptions of the correction for measurement error only

var_error_delta

Estimate the error variance of Glass' delta values

.attenuate_r_rb

Internal function to attenuate correlations using Raju and Burke's formula for univariate direct range restriction

var_error_r_bvirr

Taylor series approximation of the sampling variance of correlations corrected using the Case V correction for indirect range restriction

organize_moderators

Organization of moderator data for use in meta-analyses

reshape_mat2dat

Extract a long-format correlation database from a correlation matrix and its supporting vectors/matrices of variable information

reshape_vec2mat

Assemble a variance-covariance matrix

Hypothetical dataset simulated to satisfy the assumptions of the univariate correction for indirect range restriction

Generate a list of references included in meta-analyses

Screen to detect impossible values in vectors of correlations and sample sizes.

correct_matrix_mvrr

Multivariate select/correction for covariance matrices

Screen to detect impossible values in vectors of u ratios.

Estimate the error variance of square roots of reliability estimates

Filter to remove impossible values from vectors of u ratios and corresponding weights.

Estimate the error variance of correlations

Merge multiple "simdat_d_database" class objects

.ma_r_icvgx_boot

Internal function for computing bootstrapped individual-correction meta-analyses of validity generalization correlations for X

.ma_generic_boot

Internal function for computing bootstrapped bare-bones meta-analyses of generic effect sizes

.ma_r_icvgy_boot

Internal function for computing bootstrapped individual-correction meta-analyses of validity generalization correlations for Y

Wrapper function to facilitate bootstrapped meta-analyses

estimate_length_sb

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

Estimation of statistics computed from products of random, normal variables

estimate_q_dist

Estimate descriptive statistics of square-root reliabilities

data_d_meas_multi

Hypothetical d value dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructs

ma_r_ad.tsa_uvdrr

Taylor series approximation artifact-distribution meta-analysis correcting for Case II direct range restriction and measurement error

record_warnings

Summary of warning messages generated within a function

ma_r_ad.int_rbAdj

Interactive artifact-distribution meta-analysis correcting for Case II direct range restriction and measurement error

.attenuate_r_bvdrr

Internal function to undo the Case V correction for bivariate indirect range restriction

.correct_r_uvirr

Internal function to compute the Case IV correction for univariate indirect range restriction

Compute weighted covariances

Internal function for computing bare-bones meta-analyses of correlations

Cumulative meta-analyses

Internal function for computing individual-correction meta-analyses of correlations

Leave-one-out (i.e., jackknife) meta-analyses

metabulate_rmd_helper

Add metabulate equation commands and LaTeX dependencies

Meta-analysis of correlations

estimate_var_rho_int

Non-linear estimate of variance of \(\rho\) corrected for psychometric artifacts using numeric integration

Compute meta-regressions

simulate_matrix

Generate a list of simulated sample matrices sampled from the Wishart distribution

Screen to detect impossible values in vectors of reliability estimates.

.ma_r_order2_ad_boot

Internal function for computing bootstrapped second-order artifact-distribution meta-analyses of correlations

Weighted descriptive statistics for a vector of numbers

estimate_matrix_prods

Estimate covariance matrices and mean vectors containing product terms

estimate_var_rho_tsa

Taylor Series Approximation of variance of \(\rho\) corrected for psychometric artifacts

ma_r_ad.tsa_bvdrr

Taylor series approximation artifact-distribution meta-analysis correcting for Case V indirect range restriction and measurement error

simulate_r_sample

Simulation of data with measurement error and range-restriction artifacts

ma_r_ad.tsa_uvirr

Taylor series approximation artifact-distribution meta-analysis correcting for Case II direct range restriction and measurement error

Simulate Monte Carlo psychometric data (observed, true, and error scores)

var_error_alpha

Analytic estimate of the sampling variance of alpha

Estimate the error variance Cohen's d values

ma_r_ad.int_bvdrr

Interactive artifact-distribution meta-analysis correcting for Case V indirect range restriction and measurement error

ma_r_ad.int_uvirr

Interactive artifact-distribution meta-analysis correcting for Case IV indirect range restriction and measurement error

scalar_arg_warning

Warning message for scalar arguments receiving multiple values

Screen to detect invalid interactive artifact distribution objects

simulate_r_database

Simulate correlation databases of primary studies