This function generates ad_obj class objects containing interactive artifact distributions. Use this to create objects that can be supplied to the ma_r_ad and
ma_d_ad functions to apply psychometric corrections to barebones meta-analysis objects via artifact distribution methods.
create_ad_int(rxxi = NULL, n_rxxi = NULL, wt_rxxi = n_rxxi,
rxxi_type = rep("alpha", length(rxxi)), rxxa = NULL, n_rxxa = NULL,
wt_rxxa = n_rxxa, rxxa_type = rep("alpha", length(rxxa)), ux = NULL,
ni_ux = NULL, wt_ux = ni_ux, ut = NULL, ni_ut = NULL, wt_ut = ni_ut,
estimate_rxxa = TRUE, estimate_rxxi = TRUE, estimate_ux = TRUE,
estimate_ut = TRUE, ...)Vector of incumbent reliability estimates.
Vector of sample sizes associated with the elements of rxxi.
Vector of weights associated with the elements of rxxi.
String vector identifying the types of reliability estimates supplied (e.g., "alpha", "retest", "interrater_r", "splithalf"). See the documentation for ma_r for a full list of acceptable reliability types.
Vector of applicant reliability estimates.
Vector of sample sizes associated with the elements of rxxa.
Vector of weights associated with the elements of rxxa.
Vector of observed-score u ratios.
Vector of incumbent sample sizes associated with the elements of ux.
Vector of weights associated with the elements of ux.
Vector of true-score u ratios.
Vector of incumbent sample sizes associated with the elements of ut.
Vector of weights associated with the elements of ut.
Logical argument to estimate rxxa values from other artifacts (TRUE) or to only used supplied rxxa values (FALSE). TRUE by default.
Logical argument to estimate rxxi values from other artifacts (TRUE) or to only used supplied rxxi values (FALSE). TRUE by default.
Logical argument to estimate ux values from other artifacts (TRUE) or to only used supplied ux values (FALSE). TRUE by default.
Logical argument to estimate ut values from other artifacts (TRUE) or to only used supplied ut values (FALSE). TRUE by default.
Further arguments.
Artifact distribution object (list of artifact-distribution tables) for use in interactive artifact-distribution meta-analyses.
Allows consolidation of observed and estimated artifact information by cross-correcting artifact distributions and forming weighted artifact summaries.
All artifact distributions are optional; null artifact distributions will be given an artifact value of 1 and a weight of 1 as placeholders.
# NOT RUN {
create_ad_int(rxxa = c(.9, .8), n_rxxa = c(50, 150),
rxxi = c(.8, .7), n_rxxi = c(50, 150),
ux = c(.9, .8), ni_ux = c(50, 150),
ut = c(.8, .7), ni_ut = c(50, 150))
# }
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