Learn R Programming

⚠️There's a newer version (2.7.0) of this package.Take me there.

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 resarch, 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.

Copy Link

Version

Install

install.packages('psychmeta')

Monthly Downloads

361

Version

2.1.1

License

GPL (>= 3)

Maintainer

Jeffrey A. Dahlke

Last Published

June 11th, 2018

Functions in psychmeta (2.1.1)

composite_r_matrix

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

convert_vard_to_varr

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_varr_to_vard

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

correct_means_mvrr

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_intercor

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

composite_u_scalar

Scalar formula to estimate the u ratio of a composite variable

control_psychmeta

Control for psychmeta meta-analyses

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)

composite_u_matrix

Matrix formula to estimate the u ratio of a composite variable

data_d_bb_multi

Hypothetical d value dataset simulated with sampling error only

composite_d_matrix

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

estimate_artifacts

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

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_rel_dist

Estimate descriptive statistics of reliabilities

estimate_q_dist

Estimate descriptive statistics of square-root reliabilities

composite_d_scalar

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_glass_bias

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

correct_matrix_mvrr

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

data_d_meas_multi

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_r_coarseness

Correct correlations for scale coarseness

convert_sdd_to_sdr

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

data_r_gonzalezmule_2014

Meta-analysis of OCB correlations with other constructs

estimate_var_rho_int

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

estimate_var_artifacts

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_listnonnull

Filter a list to remove NULL entries

Return rows with matching conditions

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

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_uvirr

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

interval_warning

Warning message for the widths of uncertainty intervals

Confidence limits of tau

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

ma_r_ad.int_none

Null artifact distribution result: No corrections performed

convert_sdr_to_sdd

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

data_r_mcleod_2007

Bare-bones meta-analysis of parenting and childhood depression

data_r_mcdaniel_1994

Artifact-distribution meta-analysis of the validity of interviews

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

metabulate_rmd_helper

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.

estimate_rel_sb

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

Compute meta-regressions

ma_r_ad.int_rbAdj

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

ma_r_ad.tsa_bvirr

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.

ma_r_ad.tsa_meas

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

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

composite_rel_matrix

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

create_ad_array

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

manage_arglength

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

Merge multiple "simdat_d_database" class objects

composite_rel_scalar

Scalar formula to estimate the reliability of a composite variable

Meta-analysis of d values

Meta-analysis of correlations

reshape_mat2dat

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

data_r_meas_multi

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

estimate_matrix_prods

Estimate covariance matrices and mean vectors containing product terms

ma_r_ad.int_bvdrr

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

reshape_vec2mat

Assemble a variance-covariance matrix

record_warnings

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_database

Simulate d value databases of primary studies

ma_r_ad.tsa_uvdrr

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_d_sample

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

generate_directory

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

ma_r_ad.tsa_uvirr

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

organize_moderators

Organization of moderator data for use in meta-analyses

warning_variance

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_wide2long

Reshape database from wide format to long format

ma_r_ad.int_rbOrig

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

ma_r_ad.int_uvdrr

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

correct_r_split

Correct correlations for uneven/unrepresentative splits

create_ad_group

Generate an artifact distribution object for a dichotomous grouping variable.

create_ad_tibble

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

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

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

data_r_roth_2015

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

psychmeta-package

psychmeta: Psychometric meta-analysis toolkit

Screen to detect invalid Taylor series artifact distribution objects

estimate_var_rho_tsa

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])

var_error_r_bvirr

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.

estimate_var_tsa

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

simulate_matrix

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

var_error_delta

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_artifacts

Impute missing and impossible artifact values

ma_r_ad.int_bvirr

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

ma_r_ad.int_meas

Interactive artifact-distribution meta-analysis correcting for measurement error

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

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 mixture correlation for two groups

organize_database

Organize a database of multi-construct or moderated information

Create funnel plots

Prediction method for objects of classes deriving from "lm_mat"

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

var_error_alpha

Analytic estimate of the sampling variance of alpha

simulate_r_sample

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

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

compute_dmod_par

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