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psychmeta R package
Version 0.2.2

Authors

Jeffrey A. Dahlke
Brenton M. Wiernik

Contributors

Michael T. Brannick
Jack Kostal
Sean Potter
Yuejia (Mandy) Teng

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.

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Install

install.packages('psychmeta')

Monthly Downloads

628

Version

0.2.4

License

GPL (>= 3)

Maintainer

Jeffrey A. Dahlke

Last Published

March 21st, 2018

Functions in psychmeta (0.2.4)

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

Anova method for objects of the class "lm_mat"

anova.summary_lm_mat

Anova method for objects of the class "summary_lm_mat"

composite_d_matrix

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

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

Add commas to integers Add commas to integers (e.g., convert "1000000" to "1,000,000")

Check whether wt_type argument is valid and determine which package to use for weights

composite_r_matrix

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

Clean warnings and remove warnings present in the environment before running the function of interest

Compute coefficient alpha

composite_rel_matrix

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

composite_r_scalar

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

composite_rel_scalar

Scalar formula to estimate the reliability of a composite variable

Comprehensive \(d_{Mod}\) calculator

compute_dmod_par

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

composite_u_matrix

Matrix formula to estimate the u ratio of a composite variable

Construct a confidence interval

Construct a confidence interval for correlations using Fisher's z transformation

compute_dmod_npar

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

composite_u_scalar

Scalar formula to estimate the u ratio of a composite variable

convert_sdd_to_sdr

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

Confidence interval method for objects of the class "lm_mat"

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)

confint.summary_lm_mat

Confidence interval method for objects of the class "summary_lm_mat"

convert_sdr_to_sdd

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

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

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

Correct correlations for small-sample bias

Convert effect sizes and compute confidence intervals

correct_glass_bias

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

correct_r_bvdrr

Correct correlations for bivariate direct range restriction and measurement error

convert_vard_to_varr

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

correct_means_mvrr

Multivariate select/correction for vectors of means

correct_matrix_mvrr

Multivariate select/correction for covariance matrices

convert_varr_to_vard

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

Correct correlations for range restriction and/or measurement error

Correct d values for range restriction and/or measurement error

correct_r_bvirr

Correct correlations for bivariate indirect range restriction and measurement error

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

create_ad_array

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

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

correct_r_uvirr

Correct correlations for Case IV indirect range restriction and measurement error

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

correct_r_uvdrr

Correct correlations for Case II direct range restriction and measurement error

Correct correlations for measurement error

correct_r_split

Correct correlations for uneven/unrepresentative splits

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

Correct correlations for artifical dichotomization of one or both variables

data_r_gonzalezmule_2014

Meta-analysis of OCB correlations with other constructs

create_ad_group

Generate an artifact distribution object for a dichotomous grouping variable.

correct_r_coarseness

Correct correlations for scale coarseness

Construct a credibility interval

data_d_meas_multi

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

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

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

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

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

data_d_bb_multi

Hypothetical d value dataset simulated with sampling error only

data_r_roth_2015

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

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

create_ad_tsa_group

Generate an artifact distribution object for a dichotomous grouping variable for use in Taylor series artifact-distribution meta-analysis programs.

estimate_artifacts

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

create_ad_int_group

Generate an artifact distribution object for a dichotomous grouping variable for use in interactive artifact-distribution meta-analysis programs.

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

data_r_mcdaniel_1994

Artifact-distribution meta-analysis of the validity of interviews

estimate_var_rho_int

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

Filter to detect and remove impossible values in vectors of correlations and sample sizes.

Estimate u ratios from available artifact information

data_r_mcleod_2007

Bare-bones meta-analysis of parenting and childhood depression

estimate_rel_sb

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

estimate_var_rho_tsa

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

Estimation of statistics computed from products of random, normal variables

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

estimate_q_dist

Estimate descriptive statistics of square-root reliabilities

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

estimate_var_artifacts

Taylor series approximations for the variances of estimates artifact distributions.

data_r_meas_multi

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

Filter to remove impossible values from vectors of reliabilities and corresponding weights.

interval_warning

Warning message for the widths of uncertainty intervals

Create wide-format datasets in simulate_r_database

Supplemental heterogeneity statistics for meta-analyses

Confidence limits of tau

generate_directory

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

Artifact-distribution meta-analysis of d values

impute_artifacts

Impute missing and impossible artifact values

Master framework for meta-analysis of d values

Create long-format datasets in simulate_r_database

Filter to remove impossible values from vectors of u ratios and corresponding weights.

Bare-bones meta-analysis of generic effect sizes

ma_r_ad.int_bvdrr

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

Artifact-distribution meta-analysis of correlations

Second-order meta-analysis function for d values

ma_r_ad.int_none

Null artifact distribution result: No corrections performed

ma_r_ad.int_meas

Interactive artifact-distribution meta-analysis correcting for measurement error

Bare-bones meta-analysis of d values

ma_r_ad.tsa_bvdrr

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

Individual-correction meta-analysis of d values

ma_r_ad.tsa_bvirr

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

ma_r_ad.int_bvirr

Interactive artifact-distribution meta-analysis correcting for Case V indirect 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.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_rb2Adj

Taylor series approximation artifact-distribution meta-analysis correcting for Raju and Burke's case 2 direct range restriction and measurement error

Master framework for meta-analysis of correlations

ma_r_ad.int_rbOrig

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

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

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_uvdrr

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

ma_r_ad.tsa_uvdrr

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

Merge multiple "simdat_d" class objects

Merge multiple "simdat_r" class objects

Individual-correction meta-analysis of correlations

ma_r_ad.int_uvirr

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

Second-order meta-analysis function for correlations

Write a summary table of meta-anlytic results

ma_r_ad.tsa_meas

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

Estimate the mixture correlation for two groups

print.psychmeta.correct_d

print method for d values corrected for artifacts

print.psychmeta.describe_simdat_r

print method for simulated psychometric studies

Estimate mixture covariance matrix from within-group covariance matrices

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

print.psychmeta.correct_r

print method for correlations corrected for artifacts

print.psychmeta.dmod

print method for dmod effect sizes

Prediction method for objects of the class "lm_mat"

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

Print method for objects of the class "lm_mat "

print.psychmeta

Master print method for objects of the 'psychmeta' class

print.psychmeta.ma_r.ad

print method for artifact-distribution meta-analyses of correlations

predict.summary_lm_mat

Prediction method for objects of the class "summary_lm_mat"

manage_arglength

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

print.psychmeta.ad_int

print method for interactive artifact distributions

Compute meta-regressions

print.psychmeta.ma_r.ad.master

print method for artifact-distribution meta-analyses of correlations

print.psychmeta.heterogeneity

print method for heterogeneity statistics

print.psychmeta.ad_tsa

print method for Taylor series artifact distributions

ma_r_ad.tsa_uvirr

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

Descriptive statistics for a mixture distribution

print.psychmeta.simdat_r

print method for simulated psychometric studies

print.psychmeta.ma_d.ic

print method for individual-correction meta-analyses of d values

print.psychmeta.ma_d.order2

print method for second-order meta-analyses of d values

print.psychmeta.simulate_d

print method for simulated psychometric studies

Bare-bones meta-analysis of correlations

print.psychmeta.ma_d.ic.master

print method for individual-correction meta-analyses of correlations

print.psychmeta.ma_generic

print method for bare-bones meta-analyses of correlations

print.summary_lm_mat

Print method for objects of the class "summary_lm_mat "

organize_database

Organize a database of multi-construct or moderated information

print.psychmeta.ma_r.barebones

print method for bare-bones meta-analyses of correlations

print.psychmeta.es

print method for effect sizes and converted effect sizes

psychmeta-package

psychmeta: Psychometric meta-analysis toolkit

print.psychmeta.ma_r.barebones.master

print method for bare-bones meta-analyses of correlations

organize_moderators

Organization of moderator data for use in meta-analyses

print.psychmeta.simulate_psych

print method for simulated psychometric studies

reshape_vec2mat

Assemble a variance-covariance matrix

print.psychmeta.simulate_r

print method for simulated psychometric studies

Screen to detect invalid interactive artifact distribution objects

reshape_wide2long

Reshape database from wide format to long format

print.psychmeta.ma_r.ic

print method for individual-correction meta-analyses of correlations

Round numeric values to an exact number of digits and return as a character

Screen to detect invalid Taylor series artifact distribution objects

scalar_arg_warning

Warning message for scalar arguments receiving multiple values

record_warnings

Summary of warning messages generated within a function

print.psychmeta.ma_r.ic.master

print method for individual-correction meta-analyses of correlations

reshape_mat2dat

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

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

print.psychmeta.ma_d.ad

print method for artifact-distribution meta-analyses of d values

simulate_r_database

Simulate correlation databases of primary studies

Screen to detect impossible values in vectors of u ratios.

print.psychmeta.ma_d.ad.master

print method for artifact-distribution meta-analyses of correlations

simulate_d_sample

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

Sensitivity analyses for meta-analyses

Summary method for objects of the class "lm_mat"

Screen to detect impossible values in vectors of correlations and sample sizes.

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

print.psychmeta.ma_r.order2

print method for second-order meta-analyses of correlations

simulate_matrix

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

Screen to detect impossible values in vectors of reliability estimates.

Estimate the error variance of correlations

print.psychmeta.simdat_d

print method for simulated psychometric studies

Truncation function for means

var_error_r_bvirr

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

sparsify_simdat_r

Create sparse artifact information in a "simdat_r" class object

Estimate the error variance of reliability estimates

Truncation function for variances

Estimate the error variance of u ratios

Estimate the error variance Cohen's d values

Summarize artifact information from meta-analyses into table format

simulate_r_sample

Simulation of data with measurement error and range-restriction artifacts

var_error_delta

Estimate the error variance of Glass' delta values

Estimate the error variance of the probability-based effect size (A, AUC, the common language effect size [CLES])

sparsify_simdat_d

Create sparse artifact information in a "simdat_d" class object

print.psychmeta.ma_d.barebones

print method for bare-bones meta-analyses of d values

warning_variance

Warning message for invalid variances

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

var_error_alpha

Analytic estimate of the sampling variance of alpha

Compute weighted covariances

print.psychmeta.ma_d.barebones.master

print method for bare-bones meta-analyses of correlations

Estimate the average within-group correlation from a mixture correlation for two groups

Generate a vector of simulated sample alpha coefficients

Weighted descriptive statistics for a vector of numbers

Retrieve the NEWS file for the psychmeta package

simulate_d_database

Simulate d value databases of primary studies

Summary of FYI messages generated within a function

Estimate the error variance Hedge's g values

Estimate the error variance of square roots of reliability estimates