{ "_id": "6a129405acfb0bcc41d0bca4", "Package": "psychmeta", "Type": "Package", "Title": "Psychometric Meta-Analysis Toolkit", "Version": "2.7.0", "Date": "2024-06-19", "Authors@R": "c(person(\"Jeffrey A.\", \"Dahlke\",\nrole = c(\"aut\", \"cre\"),\nemail = \"jeff.dahlke.phd@gmail.com\"),\nperson(\"Brenton M.\", \"Wiernik\",\nrole = \"aut\",\nemail = \"brenton@psychmeta.com\"),\nperson(\"Wesley\", \"Gardiner\",\nrole = \"ctb\",\ncomment = \"Unit tests\"),\nperson(\"Michael T.\", \"Brannick\",\nrole = \"ctb\",\ncomment = \"Testing\"),\nperson(\"Jack\", \"Kostal\",\nrole = \"ctb\",\ncomment = \"Code for reshape_mat2dat function\"),\nperson(\"Sean\", \"Potter\",\nrole = \"ctb\",\ncomment = \"Testing; Code for cumulative and leave1out plots\"),\nperson(\"John\", \"Sakaluk\",\nrole = \"ctb\",\ncomment = \"Code for funnel and forest plots\"),\nperson(\"Yuejia (Mandy)\", \"Teng\",\nrole = \"ctb\",\ncomment = \"Testing\"))", "Maintainer": "Jeffrey A. Dahlke ", "BugReports": "https://github.com/psychmeta/psychmeta/issues", "Description": "Tools for computing bare-bones and psychometric\nmeta-analyses and for generating psychometric data for use in\nmeta-analysis simulations. Supports bare-bones,\nindividual-correction, and artifact-distribution methods for\nmeta-analyzing correlations and d values. Includes tools for\nconverting effect sizes, computing sporadic artifact\ncorrections, reshaping meta-analytic databases, computing\nmultivariate corrections for range variation, and more. Bugs\ncan be reported to\n or\n.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "LazyData": "true", "VignetteBuilder": "knitr", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "Author": "Jeffrey A. Dahlke [aut, cre], Brenton M. Wiernik [aut], Wesley\nGardiner [ctb] (Unit tests), Michael T. 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values or vice-versa", "topics": [ "convert_ma", "convert_meta" ] }, { "page": "correct_d", "title": "Correct d values for measurement error and/or range restriction", "topics": [ "correct_d" ] }, { "page": "correct_d_bias", "title": "Correct for small-sample bias in Cohen's d values", "topics": [ "correct_d_bias" ] }, { "page": "correct_glass_bias", "title": "Correct for small-sample bias in Glass' Delta values", "topics": [ "correct_glass_bias" ] }, { "page": "correct_matrix_mvrr", "title": "Multivariate select/correction for covariance matrices", "topics": [ "correct_matrix_mvrr" ] }, { "page": "correct_means_mvrr", "title": "Multivariate select/correction for vectors of means", "topics": [ "correct_means_mvrr" ] }, { "page": "correct_r", "title": "Correct correlations for range restriction and/or measurement error", "topics": [ "correct_r" ] }, { "page": "correct_r_bias", "title": "Correct correlations for small-sample bias", "topics": [ "correct_r_bias" ] }, { "page": "correct_r_coarseness", "title": "Correct correlations for scale coarseness", "topics": [ "correct_r_coarseness" ] }, { "page": "correct_r_dich", "title": "Correct correlations for artificial dichotomization of one or both variables", "topics": [ "correct_r_dich" ] }, { "page": "correct_r_split", "title": "Correct correlations for uneven/unrepresentative splits", "topics": [ "correct_r_split" ] }, { "page": "create_ad", "title": "Generate an artifact distribution object for use in artifact-distribution meta-analysis programs.", "topics": [ "create_ad" ] }, { "page": "create_ad_group", "title": "Generate an artifact distribution object for a dichotomous grouping variable.", "topics": [ "create_ad_group" ] }, { "page": "create_ad_tibble", "title": "Create a tibble of artifact distributions by construct", "topics": [ "create_ad_list", "create_ad_tibble" ] }, { "page": "credibility", "title": "Construct a credibility interval", "topics": [ "credibility" ] }, { "page": "data_d_bb_multi", "title": "Hypothetical _d_ value dataset simulated with sampling error only", "topics": [ "data_d_bb_multi" ] }, { "page": "data_d_meas_multi", "title": "Hypothetical _d_ value dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructs", "topics": [ "data_d_meas_multi" ] }, { "page": "data_r_bvdrr", "title": "Hypothetical dataset simulated to satisfy the assumptions of the bivariate correction for direct range restriction", "topics": [ "data_r_bvdrr" ] }, { "page": "data_r_bvirr", "title": "Hypothetical dataset simulated to satisfy the assumptions of the bivariate correction for indirect range restriction", "topics": [ "data_r_bvirr" ] }, { "page": "data_r_gonzalezmule_2014", "title": "Meta-analysis of OCB correlations with other constructs", "topics": [ "data_r_gonzalezmule_2014" ] }, { "page": "data_r_mcdaniel_1994", "title": "Artifact-distribution meta-analysis of the validity of interviews", "topics": [ "data_r_mcdaniel_1994" ] }, { "page": "data_r_mcleod_2007", "title": "Bare-bones meta-analysis of parenting and childhood depression", "topics": [ "data_r_mcleod_2007" ] }, { "page": "data_r_meas", "title": "Hypothetical dataset simulated to satisfy the assumptions of the correction for measurement error only", "topics": [ "data_r_meas" ] }, { "page": "data_r_meas_multi", "title": "Hypothetical correlation dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructs", "topics": [ "data_r_meas_multi" ] }, { "page": "data_r_oh_2009", "title": "Second order meta-analysis of operational validities of big five personality measures across East Asian countries", "topics": [ "data_r_oh_2009" ] }, { "page": "data_r_roth_2015", "title": "Artifact-distribution meta-analysis of the correlation between school grades and cognitive ability", "topics": [ "data_r_roth_2015" ] }, { "page": "data_r_uvdrr", "title": "Hypothetical dataset simulated to satisfy the assumptions of the univariate correction for direct range restriction", "topics": [ "data_r_uvdrr" ] }, { "page": "data_r_uvirr", "title": "Hypothetical dataset simulated to satisfy the assumptions of the univariate correction for indirect range restriction", "topics": [ "data_r_uvirr" ] }, { "page": "estimate_artifacts", "title": "Estimation of applicant and incumbent reliabilities and of true- and observed-score u ratios", "topics": [ "estimate_artifacts", "estimate_rxxa", "estimate_rxxa_u", "estimate_rxxi", "estimate_rxxi_u", "estimate_ryya", "estimate_ryyi", "estimate_up", "estimate_ut", "estimate_ux", "estimate_uy" ] }, { "page": "estimate_length_sb", "title": "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", "topics": [ "estimate_length_sb" ] }, { "page": "estimate_prod", "title": "Estimation of statistics computed from products of random, normal variables", "topics": [ "estimate_cor_prods", "estimate_cov_prods", "estimate_mean_prod", "estimate_prod", "estimate_var_prod" ] }, { "page": "estimate_q_dist", "title": "Estimate descriptive statistics of square-root reliabilities", "topics": [ "estimate_q_dist" ] }, { "page": "estimate_rel_dist", "title": "Estimate descriptive statistics of reliabilities", "topics": [ "estimate_rel_dist" ] }, { "page": "estimate_rel_sb", "title": "Spearman-Brown prophecy formula to estimate the reliability of a lengthened measure", "topics": [ "estimate_rel_sb" ] }, { "page": "estimate_u", "title": "Estimate u ratios from available artifact information", "topics": [ "estimate_u" ] }, { "page": "estimate_var_artifacts", "title": "Taylor series approximations for the variances of estimates artifact distributions.", "topics": [ "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" ] }, { "page": "estimate_var_rho_int", "title": "Non-linear estimate of variance of rho corrected for psychometric artifacts using numeric integration", "topics": [ "estimate_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" ] }, { "page": "estimate_var_rho_tsa", "title": "Taylor Series Approximation of variance of rho corrected for psychometric artifacts", "topics": [ "estimate_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" ] }, { "page": "estimate_var_tsa", "title": "Taylor Series Approximation of effect-size variances corrected for psychometric artifacts", "topics": [ "estimate_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" ] }, { "page": "filter_ma", "title": "Filter meta-analyses", "topics": [ "filter_ma", "filter_meta" ] }, { "page": "format_num", "title": "Format numbers for presentation", "topics": [ "format_num" ] }, { "page": "generate_bib", "title": "Generate a list of references included in meta-analyses", "concept": [ "output functions" ], "topics": [ "generate_bib" ] }, { "page": "generate_directory", "title": "Generate a system of folders from a file path to a new directory", "topics": [ "generate_directory" ] }, { "page": "get_stuff", "title": "Extract results from a psychmeta meta-analysis object", "topics": [ "get_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" ] }, { "page": "heterogeneity", "title": "Supplemental heterogeneity statistics for meta-analyses", "topics": [ "heterogeneity" ] }, { "page": "limits_tau", "title": "Confidence limits of tau", "topics": [ "limits_tau" ] }, { "page": "limits_tau2", "title": "Confidence limits of tau-squared", "topics": [ "limits_tau2" ] }, { "page": "lm_mat", "title": "Compute linear regression models and generate \"lm\" objects from covariance matrices.", "topics": [ "lm_mat", "lm_matrix", "matreg", "matrixreg" ] }, { "page": "ma_d", "title": "Meta-analysis of _d_ values", "topics": [ "ma_d", "ma_d_ad", "ma_d_barebones", "ma_d_bb", "ma_d_ic" ] }, { "page": "ma_d_order2", "title": "Second-order meta-analysis function for _d_ values", "topics": [ "ma_d_order2" ] }, { "page": "ma_generic", "title": "Bare-bones meta-analysis of generic effect sizes", "topics": [ "ma_generic" ] }, { "page": "ma_r", "title": "Meta-analysis of correlations", "topics": [ "ma_r", "ma_r_ad", "ma_r_barebones", "ma_r_bb", "ma_r_ic" ] }, { "page": "ma_r_order2", "title": "Second-order meta-analysis function for correlations", "topics": [ "ma_r_order2" ] }, { "page": "merge_simdat_d", "title": "Merge multiple \"simdat_d_database\" class objects", "topics": [ "merge_simdat_d" ] }, { "page": "merge_simdat_r", "title": "Merge multiple \"simdat_r_database\" class objects", "topics": [ "merge_simdat_r" ] }, { "page": "metabulate", "title": "Write a summary table of meta-analytic results", "concept": [ "output functions" ], "topics": [ "metabulate" ] }, { "page": "metabulate_rmd_helper", "title": "Add metabulate equation commands and LaTeX dependencies", "concept": [ "output functions" ], "topics": [ "metabulate_rmd_helper" ] }, { "page": "metareg", "title": "Compute meta-regressions", "topics": [ "metareg" ] }, { "page": "mix_dist", "title": "Descriptive statistics for a mixture distribution", "topics": [ "mix_dist" ] }, { "page": "mix_matrix", "title": "Estimate mixture covariance matrix from within-group covariance matrices", "topics": [ "mix_matrix" ] }, { "page": "mix_r_2group", "title": "Estimate the mixture correlation for two groups", "topics": [ "mix_r_2group" ] }, { "page": "plot_forest", "title": "Create forest plots", "topics": [ "plot_forest" ] }, { "page": "plot_funnel", "title": "Create funnel plots", "topics": [ "plot_cefp", "plot_funnel" ] }, { "page": "predict", "title": "Prediction method for objects of classes deriving from 'lm_mat'", "topics": [ "predict" ] }, { "page": "print", "title": "Print methods for *'psychmeta'*", "topics": [ "print" ] }, { "page": "reattribute", "title": "Copy class and attributes from the original version of an object to a modified version.", "topics": [ "reattribute" ] }, { "page": "reshape_mat2dat", "title": "Extract a long-format correlation database from a correlation matrix and its supporting vectors/matrices of variable information", "topics": [ "reshape_mat2dat" ] }, { "page": "reshape_vec2mat", "title": "Assemble a variance-covariance matrix", "topics": [ "reshape_vec2mat" ] }, { "page": "reshape_wide2long", "title": "Reshape database from wide format to long format", "topics": [ "reshape_wide2long" ] }, { "page": "sensitivity", "title": "Sensitivity analyses for meta-analyses", "topics": [ "sensitivity", "sensitivity_bootstrap", "sensitivity_cumulative", "sensitivity_leave1out" ] }, { "page": "simulate_alpha", "title": "Generate a vector of simulated sample alpha coefficients", "topics": [ "simulate_alpha" ] }, { "page": "simulate_d_database", "title": "Simulate d value databases of primary studies", "topics": [ "simulate_d_database" ] }, { "page": "simulate_d_sample", "title": "Simulate a sample of psychometric d value data with measurement error, direct range restriction, and/or indirect range restriction", "topics": [ "simulate_d_sample" ] }, { "page": "simulate_matrix", "title": "Generate a list of simulated sample matrices sampled from the Wishart distribution", "topics": [ "simulate_matrix" ] }, { "page": "simulate_psych", "title": "Simulate Monte Carlo psychometric data (observed, true, and error scores)", "topics": [ "simulate_psych" ] }, { "page": "simulate_r_database", "title": "Simulate correlation databases of primary studies", "topics": [ "simulate_r_database" ] }, { "page": "simulate_r_sample", "title": "Simulation of data with measurement error and range-restriction artifacts", "topics": [ "simulate_r_sample" ] }, { "page": "sparsify_simdat_d", "title": "Create sparse artifact information in a \"simdat_d_database\" class object", "topics": [ "sparsify_simdat_d" ] }, { "page": "sparsify_simdat_r", "title": "Create sparse artifact information in a \"simdat_r_database\" class object", "topics": [ "sparsify_simdat_r" ] }, { "page": "summary", "title": "Summary methods for 'psychmeta'", "topics": [ "summary" ] }, { "page": "truncate_dist", "title": "Truncation function for normal distributions (truncates both mean and variance)", "topics": [ "truncate_dist" ] }, { "page": "truncate_mean", "title": "Truncation function for means", 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Delta values", "topics": [ "var_error_delta" ] }, { "page": "var_error_g", "title": "Estimate the error variance Hedges's g values", "topics": [ "var_error_g" ] }, { "page": "var_error_mult_R", "title": "Estimate the error variance of linear regression multiple _R_(-squared)", "topics": [ "var_error_mult_R", "var_error_mult_Rsq", "var_error_R", "var_error_Rsq" ] }, { "page": "var_error_q", "title": "Estimate the error variance of square roots of reliability estimates", "topics": [ "var_error_q" ] }, { "page": "var_error_r", "title": "Estimate the error variance of correlations", "topics": [ "var_error_r" ] }, { "page": "var_error_r_bvirr", "title": "Taylor series approximation of the sampling variance of correlations corrected using the bivariate indirect range restriction correction (Case V)", "topics": [ "var_error_r_bvirr" ] }, { "page": "var_error_rel", "title": "Estimate the error variance of reliability estimates", "topics": [ "var_error_rel" ] }, { "page": "var_error_spearman", 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