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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 vignette vignette("overview", package = "psychmeta") for an introduction to psychmeta's functions and workflows (also found here).

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. The GitHub release can be installed with the following code:

install.packages("remotes")
remotes::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, email psychmeta@psychmeta.com.

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Version

Install

install.packages('psychmeta')

Monthly Downloads

667

Version

2.7.0

License

GPL (>= 3)

Maintainer

Last Published

June 19th, 2024

Functions in psychmeta (2.7.0)

Comprehensive \(d_{Mod}\) calculator

composite_r_scalar

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

compute_dmod_npar

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

composite_rel_matrix

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

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-square value can be formed.

compute_dmod_par

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

Compute coefficient alpha

anova.ma_psychmeta

Wald-type tests for moderators in psychmeta meta-analyses

composite_d_matrix

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

Construct a confidence interval

composite_u_scalar

Scalar formula to estimate the u ratio of a composite variable

Correct \(d\) values for measurement error and/or range restriction

Convert effect sizes

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

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

correct_matrix_mvrr

Multivariate select/correction for covariance matrices

correct_glass_bias

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

create_ad_tibble

Create a tibble of artifact distributions by construct

create_ad_group

Generate an artifact distribution object for a dichotomous grouping variable.

Construct a credibility interval

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

data_r_gonzalezmule_2014

Meta-analysis of OCB correlations with other constructs

correct_r_split

Correct correlations for uneven/unrepresentative splits

correct_means_mvrr

Multivariate select/correction for vectors of means

Correct correlations for artificial dichotomization of one or both variables

Correct correlations for range restriction and/or measurement error

Correct correlations for small-sample bias

correct_r_coarseness

Correct correlations for scale coarseness

data_r_mcdaniel_1994

Artifact-distribution meta-analysis of the validity of interviews

data_r_roth_2015

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

Confidence interval method for objects of classes deriving from lm_mat

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

control_intercor

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

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

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

estimate_matrix_prods

Estimate covariance matrices and mean vectors containing product terms

estimate_q_dist

Estimate descriptive statistics of square-root reliabilities

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

data_r_meas_multi

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

Estimation of statistics computed from products of random, normal variables

control_psychmeta

Control for psychmeta meta-analyses

Estimate u ratios from available artifact information

data_d_bb_multi

Hypothetical d value dataset simulated with sampling error only

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

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

estimate_artifacts

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

estimate_rel_dist

Estimate descriptive statistics of reliabilities

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

Generate a list of references included in meta-analyses

data_d_meas_multi

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

data_r_mcleod_2007

Bare-bones meta-analysis of parenting and childhood depression

Format numbers for presentation

estimate_var_artifacts

Taylor series approximations for the variances of estimates artifact distributions.

estimate_var_rho_int

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

estimate_var_rho_tsa

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

estimate_rel_sb

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

Create wide-format datasets in simulate_r_database

Filter meta-analyses

estimate_var_tsa

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

generate_directory

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

Create long-format datasets in simulate_r_database

filter_listnonnull

Filter a list to remove NULL entries

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

Confidence limits of tau-squared

impute_artifacts

Impute missing and impossible artifact values

Extract results from a psychmeta meta-analysis object

Supplemental heterogeneity statistics for meta-analyses

Second-order meta-analysis function for d values

Meta-analysis of d values

Confidence limits of tau

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

ma_r_ad.int_meas

Interactive artifact-distribution meta-analysis correcting for measurement error

ma_r_ad.tsa_bvdrr

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

ma_r_ad.int_uvdrr

Interactive artifact-distribution meta-analysis correcting for Case II direct 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

Bare-bones meta-analysis of generic effect sizes

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

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

Second-order meta-analysis function for correlations

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

ma_r_ad.int_rbAdj

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

ma_r_ad.int_rbOrig

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

ma_r_ad.tsa_uvirr

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

ma_r_ad.tsa_bvirr

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

Merge multiple "simdat_d_database" class objects

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

Meta-analysis of correlations

Descriptive statistics for a mixture distribution

ma_r_ad.int_bvdrr

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

ma_r_ad.int_none

Null artifact distribution result: No corrections performed

Estimate the mixture correlation for two groups

ma_r_ad.tsa_uvdrr

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

organize_database

Organize a database of multi-construct or moderated information

metabulate_rmd_helper

Add metabulate equation commands and LaTeX dependencies

Compute meta-regressions

ma_r_ad.tsa_meas

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

ma_r_ad.int_bvirr

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

Merge multiple "simdat_r_database" class objects

Estimate mixture covariance matrix from within-group covariance matrices

organize_moderators

Organization of moderator data for use in meta-analyses

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

Create forest plots

Create funnel plots

Write a summary table of meta-analytic results

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

reshape_mat2dat

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

Print methods for psychmeta

reshape_vec2mat

Assemble a variance-covariance matrix

Sensitivity analyses for meta-analyses

psychmeta-package

psychmeta: Psychometric meta-analysis toolkit

Generate a vector of simulated sample alpha coefficients

Prediction method for objects of classes deriving from lm_mat

Summarize artifact information from meta-analyses into table format

reshape_wide2long

Reshape database from wide format to long format

simulate_r_database

Simulate correlation databases of primary studies

sparsify_simdat_r

Create sparse artifact information in a "simdat_r_database" class object

sparsify_simdat_d

Create sparse artifact information in a "simdat_d_database" class object

simulate_r_sample

Simulation of data with measurement error and range-restriction artifacts

Summary methods for psychmeta

var_error_delta

Estimate the error variance of Glass's \(\Delta\) values

simulate_matrix

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

var_error_alpha

Analytic estimate of the sampling variance of coefficient \(\alpha\)

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

simulate_d_sample

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

simulate_d_database

Simulate d value databases of primary studies

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

Estimate the error variance Hedges's \(g\) values

Estimate the error variance Cohen's \(d\) values

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])

Estimate the error variance of correlations

var_error_mult_R

Estimate the error variance of linear regression multiple R(-squared)

Estimate the error variance of \(u\) ratios

Estimate the error variance of square roots of reliability estimates

Truncation function for variances

var_error_r_bvirr

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

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

Estimate the error variance of reliability estimates

Weighted descriptive statistics for a vector of numbers

var_error_spearman

Estimate the error variance of Spearman rank correlations

Compute weighted covariances

Truncation function for means

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

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

composite_d_scalar

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

composite_rel_scalar

Scalar formula to estimate the reliability of a composite variable

composite_u_matrix

Matrix formula to estimate the u ratio of a composite variable

composite_r_matrix

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