Package: psychmeta 2.7.0

Jeffrey A. Dahlke

psychmeta: Psychometric Meta-Analysis Toolkit

Tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more. Bugs can be reported to <https://github.com/psychmeta/psychmeta/issues> or <[email protected]>.

Authors:Jeffrey A. Dahlke [aut, cre], Brenton M. Wiernik [aut], Wesley Gardiner [ctb], Michael T. Brannick [ctb], Jack Kostal [ctb], Sean Potter [ctb], John Sakaluk [ctb], Yuejia Teng [ctb]

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psychmeta.pdf |psychmeta.html✨
psychmeta/json (API)
NEWS

# Install 'psychmeta' in R:
install.packages('psychmeta', repos = c('https://psychmeta.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/psychmeta/psychmeta/issues

Datasets:
  • data_d_bb_multi - Hypothetical _d_ value dataset simulated with sampling error only
  • 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_bvdrr - Hypothetical dataset simulated to satisfy the assumptions of the bivariate correction for direct range restriction
  • data_r_bvirr - Hypothetical dataset simulated to satisfy the assumptions of the bivariate correction for indirect range restriction
  • data_r_gonzalezmule_2014 - Meta-analysis of OCB correlations with other constructs
  • data_r_mcdaniel_1994 - Artifact-distribution meta-analysis of the validity of interviews
  • data_r_mcleod_2007 - Bare-bones meta-analysis of parenting and childhood depression
  • data_r_meas - 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
  • data_r_oh_2009 - Second order meta-analysis of operational validities of big five personality measures across East Asian countries
  • data_r_roth_2015 - Artifact-distribution meta-analysis of the correlation between school grades and cognitive ability
  • data_r_uvdrr - Hypothetical dataset simulated to satisfy the assumptions of the univariate correction for direct range restriction
  • data_r_uvirr - Hypothetical dataset simulated to satisfy the assumptions of the univariate correction for indirect range restriction

On CRAN:

hacktoberfestmeta-analysispsychologypsychometricpsychometrics

8.28 score 54 stars 147 scripts 744 downloads 2 mentions 183 exports 47 dependencies

Last updated 5 months agofrom:fa3a47488a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winOKNov 14 2024
R-4.4-macOKNov 14 2024
R-4.3-winOKNov 14 2024
R-4.3-macOKNov 14 2024

Exports:adjust_n_dadjust_n_rcomposite_d_matrixcomposite_d_scalarcomposite_r_matrixcomposite_r_scalarcomposite_rel_matrixcomposite_rel_scalarcomposite_u_matrixcomposite_u_scalarcompute_alphacompute_dmodcompute_dmod_nparcompute_dmod_parconfidenceconfidence_rcontrol_intercorcontrol_psychmetaconvert_esconvert_maconvert_metacorrect_dcorrect_d_biascorrect_glass_biascorrect_matrix_mvrrcorrect_means_mvrrcorrect_rcorrect_r_biascorrect_r_coarsenesscorrect_r_dichcorrect_r_splitcreate_adcreate_ad_groupcreate_ad_listcreate_ad_tibblecredibilityestimate_cor_prodsestimate_cov_prodsestimate_length_sbestimate_matrix_prodsestimate_mean_prodestimate_q_distestimate_rel_distestimate_rel_sbestimate_rxxaestimate_rxxa_uestimate_rxxiestimate_rxxi_uestimate_ryyaestimate_ryyiestimate_uestimate_upestimate_utestimate_uxestimate_uyestimate_var_prodestimate_var_qxaestimate_var_qxiestimate_var_qyaestimate_var_qyiestimate_var_rho_int_bvdrrestimate_var_rho_int_bvirrestimate_var_rho_int_measestimate_var_rho_int_rbestimate_var_rho_int_uvdrrestimate_var_rho_int_uvirrestimate_var_rho_tsa_bvdrrestimate_var_rho_tsa_bvirrestimate_var_rho_tsa_measestimate_var_rho_tsa_rb1estimate_var_rho_tsa_rb2estimate_var_rho_tsa_uvdrrestimate_var_rho_tsa_uvirrestimate_var_rxxaestimate_var_rxxiestimate_var_ryyaestimate_var_ryyiestimate_var_tsa_bvdrrestimate_var_tsa_bvirrestimate_var_tsa_measestimate_var_tsa_rb1estimate_var_tsa_rb2estimate_var_tsa_uvdrrestimate_var_tsa_uvirrestimate_var_utestimate_var_uxfilter_listnonnullfilter_mafilter_metaformat_numgenerate_bibgenerate_directoryget_adget_bootstrapget_cumulativeget_escalcget_followupget_heterogeneityget_leave1outget_matrixget_metaforget_metaregget_metatabget_plotsget_stuffheterogeneitylimits_taulimits_tau2lm_matlm_matrixma_dma_d_adma_d_bbma_d_icma_d_order2ma_genericma_rma_r_adma_r_ad.int_measma_r_ad.int_nonema_r_ad.int_rbAdjma_r_ad.int_rbOrigma_r_ad.int_uvdrrma_r_ad.int_uvirrma_r_ad.tsa_nonema_r_ad.tsa_uvirrma_r_bbma_r_icma_r_order2matregmatrixregmerge_simdat_dmerge_simdat_rmetabulatemetabulate_rmd_helpermetaregmix_distmix_matrixmix_r_2groupplot_cefpplot_forestplot_funnelreattributereshape_mat2datreshape_vec2matreshape_wide2longsensitivitysimulate_alphasimulate_d_databasesimulate_d_samplesimulate_matrixsimulate_psychsimulate_r_databasesimulate_r_samplesparsify_simdat_dsparsify_simdat_rtruncate_disttruncate_meantruncate_varunmix_matrixunmix_r_2groupvar_error_Avar_error_alphavar_error_aucvar_error_clesvar_error_dvar_error_deltavar_error_gvar_error_mult_Rvar_error_mult_Rsqvar_error_qvar_error_rvar_error_Rvar_error_r_bvirrvar_error_relvar_error_Rsqvar_error_spearmanvar_error_uwt_corwt_covwt_distwt_meanwt_var

Dependencies:bootclicolorspacecpp11crayoncurldplyrfansifarvergenericsggplot2gluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmetadatmetaformgcvmunsellnlmenumDerivpbapplypillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Meta-analyzing correlations

Brenton Wiernik

Rendered fromma_r.Rmdusingknitr::rmarkdownon Nov 14 2024.

Last update: 2022-01-01
Started: 2020-07-16

Welcome to psychmeta!

Jeff Dahlke & Brenton Wiernik

Rendered fromoverview.Rmdusingknitr::rmarkdownon Nov 14 2024.

Last update: 2022-01-17
Started: 2018-04-17

Readme and manuals

Help Manual

Help pageTopics
'psychmeta': Psychometric meta-analysis toolkitpsychmeta-package psychmeta
Adjusted sample size for a non-Cohen _d_ value for use in a meta-analysis of Cohen's _d_ valuesadjust_n_d
Adjusted sample size for a non-Pearson correlation coefficient for use in a meta-analysis of Pearson correlationsadjust_n_r
Wald-type tests for moderators in psychmeta meta-analysesanova.ma_psychmeta
Matrix formula to estimate the standardized mean difference associated with a weighted or unweighted composite variablecomposite_d_matrix
Scalar formula to estimate the standardized mean difference associated with a composite variablecomposite_d_scalar
Matrix formula to estimate the correlation between two weighted or unweighted composite variablescomposite_r_matrix
Scalar formula to estimate the correlation between a composite and another variable or between two composite variablescomposite_r_scalar
Matrix formula to estimate the reliability of a weighted or unweighted composite variablecomposite_rel_matrix
Scalar formula to estimate the reliability of a composite variablecomposite_rel_scalar
Matrix formula to estimate the u ratio of a composite variablecomposite_u_matrix
Scalar formula to estimate the u ratio of a composite variablecomposite_u_scalar
Compute coefficient alphacompute_alpha
Comprehensive d_Mod calculatorcompute_dmod
Function for computing non-parametric d_Mod effect sizes for a single focal groupcompute_dmod_npar
Function for computing parametric d_Mod effect sizes for any number of focal groupscompute_dmod_par
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.conf.limits.nc.chisq
Construct a confidence intervalconfidence
Construct a confidence interval for correlations using Fisher's z transformationconfidence_r
Confidence interval method for objects of classes deriving from 'lm_mat'confint
Control function to curate intercorrelations to be used in automatic compositing routinecontrol_intercor
Control for 'psychmeta' meta-analysescontrol_psychmeta
Convert effect sizesconvert_es
Function to convert meta-analysis of correlations to d values or vice-versaconvert_ma convert_meta
Correct d values for measurement error and/or range restrictioncorrect_d
Correct for small-sample bias in Cohen's d valuescorrect_d_bias
Correct for small-sample bias in Glass' Delta valuescorrect_glass_bias
Multivariate select/correction for covariance matricescorrect_matrix_mvrr
Multivariate select/correction for vectors of meanscorrect_means_mvrr
Correct correlations for range restriction and/or measurement errorcorrect_r
Correct correlations for small-sample biascorrect_r_bias
Correct correlations for scale coarsenesscorrect_r_coarseness
Correct correlations for artificial dichotomization of one or both variablescorrect_r_dich
Correct correlations for uneven/unrepresentative splitscorrect_r_split
Generate an artifact distribution object for use in artifact-distribution meta-analysis programs.create_ad
Generate an artifact distribution object for a dichotomous grouping variable.create_ad_group
Create a tibble of artifact distributions by constructcreate_ad_list create_ad_tibble
Construct a credibility intervalcredibility
Hypothetical _d_ value dataset simulated with sampling error onlydata_d_bb_multi
Hypothetical _d_ value dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructsdata_d_meas_multi
Hypothetical dataset simulated to satisfy the assumptions of the bivariate correction for direct range restrictiondata_r_bvdrr
Hypothetical dataset simulated to satisfy the assumptions of the bivariate correction for indirect range restrictiondata_r_bvirr
Meta-analysis of OCB correlations with other constructsdata_r_gonzalezmule_2014
Artifact-distribution meta-analysis of the validity of interviewsdata_r_mcdaniel_1994
Bare-bones meta-analysis of parenting and childhood depressiondata_r_mcleod_2007
Hypothetical dataset simulated to satisfy the assumptions of the correction for measurement error onlydata_r_meas
Hypothetical correlation dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructsdata_r_meas_multi
Second order meta-analysis of operational validities of big five personality measures across East Asian countriesdata_r_oh_2009
Artifact-distribution meta-analysis of the correlation between school grades and cognitive abilitydata_r_roth_2015
Hypothetical dataset simulated to satisfy the assumptions of the univariate correction for direct range restrictiondata_r_uvdrr
Hypothetical dataset simulated to satisfy the assumptions of the univariate correction for indirect range restrictiondata_r_uvirr
Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratiosestimate_artifacts estimate_rxxa estimate_rxxa_u estimate_rxxi estimate_rxxi_u estimate_ryya estimate_ryyi estimate_up estimate_ut estimate_ux estimate_uy
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 reliabilityestimate_length_sb
Estimation of statistics computed from products of random, normal variablesestimate_cor_prods estimate_cov_prods estimate_mean_prod estimate_prod estimate_var_prod
Estimate descriptive statistics of square-root reliabilitiesestimate_q_dist
Estimate descriptive statistics of reliabilitiesestimate_rel_dist
Spearman-Brown prophecy formula to estimate the reliability of a lengthened measureestimate_rel_sb
Estimate u ratios from available artifact informationestimate_u
Taylor series approximations for the variances of estimates artifact distributions.estimate_var_artifacts estimate_var_qxa estimate_var_qxi estimate_var_qya estimate_var_qyi estimate_var_rxxa estimate_var_rxxi estimate_var_ryya estimate_var_ryyi estimate_var_ut estimate_var_ux
Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integrationestimate_var_rho_int estimate_var_rho_int_bvdrr estimate_var_rho_int_bvirr estimate_var_rho_int_meas estimate_var_rho_int_rb estimate_var_rho_int_uvdrr estimate_var_rho_int_uvirr
Taylor Series Approximation of variance of rho corrected for psychometric artifactsestimate_var_rho_tsa estimate_var_rho_tsa_bvdrr estimate_var_rho_tsa_bvirr estimate_var_rho_tsa_meas estimate_var_rho_tsa_rb1 estimate_var_rho_tsa_rb2 estimate_var_rho_tsa_uvdrr estimate_var_rho_tsa_uvirr
Taylor Series Approximation of effect-size variances corrected for psychometric artifactsestimate_var_tsa estimate_var_tsa_bvdrr estimate_var_tsa_bvirr estimate_var_tsa_meas estimate_var_tsa_rb1 estimate_var_tsa_rb2 estimate_var_tsa_uvdrr estimate_var_tsa_uvirr
Filter meta-analysesfilter_ma filter_meta
Format numbers for presentationformat_num
Generate a list of references included in meta-analysesgenerate_bib
Generate a system of folders from a file path to a new directorygenerate_directory
Extract results from a psychmeta meta-analysis objectget_ad get_bootstrap get_cumulative get_escalc get_followup get_heterogeneity get_leave1out get_matrix get_metafor get_metareg get_metatab get_plots get_stuff
Supplemental heterogeneity statistics for meta-analysesheterogeneity
Confidence limits of taulimits_tau
Confidence limits of tau-squaredlimits_tau2
Compute linear regression models and generate "lm" objects from covariance matrices.lm_mat lm_matrix matreg matrixreg
Meta-analysis of _d_ valuesma_d ma_d_ad ma_d_barebones ma_d_bb ma_d_ic
Second-order meta-analysis function for _d_ valuesma_d_order2
Bare-bones meta-analysis of generic effect sizesma_generic
Meta-analysis of correlationsma_r ma_r_ad ma_r_barebones ma_r_bb ma_r_ic
Second-order meta-analysis function for correlationsma_r_order2
Merge multiple "simdat_d_database" class objectsmerge_simdat_d
Merge multiple "simdat_r_database" class objectsmerge_simdat_r
Write a summary table of meta-analytic resultsmetabulate
Add metabulate equation commands and LaTeX dependenciesmetabulate_rmd_helper
Compute meta-regressionsmetareg
Descriptive statistics for a mixture distributionmix_dist
Estimate mixture covariance matrix from within-group covariance matricesmix_matrix
Estimate the mixture correlation for two groupsmix_r_2group
Create forest plotsplot_forest
Create funnel plotsplot_cefp plot_funnel
Prediction method for objects of classes deriving from 'lm_mat'predict
Print methods for *'psychmeta'*print
Copy class and attributes from the original version of an object to a modified version.reattribute
Extract a long-format correlation database from a correlation matrix and its supporting vectors/matrices of variable informationreshape_mat2dat
Assemble a variance-covariance matrixreshape_vec2mat
Reshape database from wide format to long formatreshape_wide2long
Sensitivity analyses for meta-analysessensitivity sensitivity_bootstrap sensitivity_cumulative sensitivity_leave1out
Generate a vector of simulated sample alpha coefficientssimulate_alpha
Simulate d value databases of primary studiessimulate_d_database
Simulate a sample of psychometric d value data with measurement error, direct range restriction, and/or indirect range restrictionsimulate_d_sample
Generate a list of simulated sample matrices sampled from the Wishart distributionsimulate_matrix
Simulate Monte Carlo psychometric data (observed, true, and error scores)simulate_psych
Simulate correlation databases of primary studiessimulate_r_database
Simulation of data with measurement error and range-restriction artifactssimulate_r_sample
Create sparse artifact information in a "simdat_d_database" class objectsparsify_simdat_d
Create sparse artifact information in a "simdat_r_database" class objectsparsify_simdat_r
Summary methods for 'psychmeta'summary
Truncation function for normal distributions (truncates both mean and variance)truncate_dist
Truncation function for meanstruncate_mean
Truncation function for variancestruncate_var
Estimate average within-group covariance matrices from a mixture covariance matrixunmix_matrix
Estimate the average within-group correlation from a mixture correlation for two groupsunmix_r_2group
Estimate the error variance of the probability-based effect size (A, AUC, the common language effect size [CLES])var_error_A var_error_auc var_error_cles
Analytic estimate of the sampling variance of coefficient alphavar_error_alpha
Estimate the error variance Cohen's d valuesvar_error_d
Estimate the error variance of Glass's Delta valuesvar_error_delta
Estimate the error variance Hedges's g valuesvar_error_g
Estimate the error variance of linear regression multiple _R_(-squared)var_error_mult_R var_error_mult_Rsq var_error_R var_error_Rsq
Estimate the error variance of square roots of reliability estimatesvar_error_q
Estimate the error variance of correlationsvar_error_r
Taylor series approximation of the sampling variance of correlations corrected using the bivariate indirect range restriction correction (Case V)var_error_r_bvirr
Estimate the error variance of reliability estimatesvar_error_rel
Estimate the error variance of Spearman rank correlationsvar_error_spearman
Estimate the error variance of u ratiosvar_error_u
Compute weighted covarianceswt_cor wt_cov
Weighted descriptive statistics for a vector of numberswt_dist wt_mean wt_var