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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

361

Version

2.1.5

License

GPL (>= 3)

Maintainer

Jeffrey A. Dahlke

Last Published

July 9th, 2018

Functions in psychmeta (2.1.5)

Correct correlations for artificial dichotomization of one or both variables

Convert effect sizes and compute confidence intervals

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

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

data_r_mcdaniel_1994

Artifact-distribution meta-analysis of the validity of interviews

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)

data_r_mcleod_2007

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

compute_dmod_par

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

Correct correlations for small-sample bias

composite_u_scalar

Scalar formula to estimate the u ratio of a composite variable

control_psychmeta

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_sdd_to_sdr

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

convert_sdr_to_sdd

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_ad_array

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

correct_means_mvrr

Multivariate select/correction for vectors of means

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

correct_r_coarseness

Correct correlations for scale coarseness

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

correct_glass_bias

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

estimate_artifacts

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

data_r_roth_2015

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

data_d_bb_multi

Hypothetical d value dataset simulated with sampling error only

estimate_rel_sb

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.

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

data_r_gonzalezmule_2014

Meta-analysis of OCB correlations with other constructs

correct_matrix_mvrr

Multivariate select/correction for covariance matrices

Estimate u ratios from available artifact information

Filter meta-analyses

Meta-analysis of d values

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

data_d_meas_multi

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_q_dist

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

data_r_meas_multi

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

estimate_rel_dist

Estimate descriptive statistics of reliabilities

ma_r_ad.int_rbOrig

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

estimate_matrix_prods

Estimate covariance matrices and mean vectors containing product terms

interval_warning

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

ma_r_ad.tsa_uvdrr

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

ma_r_ad.int_uvirr

Interactive artifact-distribution meta-analysis correcting for Case IV indirect 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

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

ma_r_ad.tsa_bvirr

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_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.tsa_uvirr

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

ma_r_ad.tsa_meas

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

metabulate_rmd_helper

Add metabulate equation commands and LaTeX dependencies

manage_arglength

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.

organize_moderators

Organization of moderator data for use in meta-analyses

Summary of FYI messages generated within a function

estimate_var_rho_tsa

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

Create forest plots

Sensitivity analyses for meta-analyses

scalar_arg_warning

Warning message for scalar arguments receiving multiple values

record_warnings

Summary of warning messages generated within a function

reshape_wide2long

Reshape database from wide format to long format

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

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

ma_r_ad.int_bvdrr

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

Return rows with matching conditions

Meta-analysis of correlations

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

Second-order meta-analysis function for correlations

warning_variance

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.

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

var_error_delta

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_database

Organize a database of multi-construct or moderated information

filter_listnonnull

Filter a list to remove NULL entries

ma_r_ad.int_none

Null artifact distribution result: No corrections performed

generate_directory

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

ma_r_ad.int_rbAdj

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

Estimate the error variance of correlations

psychmeta-package

psychmeta: Psychometric meta-analysis toolkit

reshape_mat2dat

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

reshape_vec2mat

Assemble a variance-covariance matrix

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.tsa_rb1Adj

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_database

Simulate d value databases of primary studies

Estimate mixture covariance matrix from within-group covariance matrices

simulate_d_sample

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

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

var_error_alpha

Analytic estimate of the sampling variance of alpha

Screen to detect impossible values in vectors of reliability estimates.

var_error_r_bvirr

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.

simulate_r_sample

Simulation of data with measurement error and range-restriction artifacts

simulate_r_database

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_intercor

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

composite_r_scalar

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

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

convert_varr_to_vard

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

compute_dmod_npar

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

composite_d_matrix

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

composite_u_matrix

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

composite_d_scalar

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

composite_rel_matrix

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

composite_rel_scalar

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