Create a list of artifact distributions by construct
create_ad_list(ad_type = "tsa", n, sample_id = NULL, construct_x,
measure_x = NULL, construct_y, measure_y = NULL, rxx = NULL,
rxx_restricted = TRUE, rxx_type = "alpha", ryy = NULL,
ryy_restricted = TRUE, ryy_type = "alpha", ux = NULL,
ux_observed = TRUE, uy = NULL, uy_observed = TRUE,
estimate_rxxa = TRUE, estimate_rxxi = TRUE, estimate_ux = TRUE,
estimate_ut = TRUE, var_unbiased = TRUE, process_ads = TRUE,
collapse_method = c("composite", "average", "stop"), intercor = 0.5,
supplemental_ads = NULL, data = NULL, ...)
Type of artifact distributions to be computed: Either "tsa" for Taylor series approximation or "int" for interactive.
Vector or column name of sample sizes.
Optional vector of identification labels for samples/studies in the meta-analysis.
Vector of construct names for construct initially designated as X.
Vector of names for measures associated with constructs initially designated as "X".
Vector of construct names for construct initially designated as Y.
Vector of names for measures associated with constructs initially designated as "Y".
Vector or column name of reliability estimates for X.
Logical vector or column name determining whether each element of rxx is an incumbent reliability (TRUE
) or an applicant reliability (FALSE
).
String vector identifying the types of reliability estimates supplied. Acceptable reliability types are:
Vector or column name of reliability estimates for Y.
Logical vector or column name determining whether each element of ryy is an incumbent reliability (TRUE
) or an applicant reliability (FALSE
).
Vector or column name of u ratios for X.
Logical vector or column name determining whether each element of ux is an observed-score u ratio (TRUE
) or a true-score u ratio (FALSE
).
Vector or column name of u ratios for Y.
Logical vector or column name determining whether each element of uy is an observed-score u ratio (TRUE
) or a true-score u ratio (FALSE
).
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.
Logical scalar determining whether variances should be unbiased (TRUE
) or maximum-likelihood (FALSE
).
Logical scalar determining whether artifact information should be processed into "ad_obj" class objects (TRUE
; default) or reported in list form (FALSE
).
Character argument that determines how to collapse multiple measures of a construct within a single study (used when measure_x
and/or measure_y
are supplied).
Options are "composite" (default), "average," and "stop." When measure names are not supplied, multiple entries for a given construct within a given study will be averaged.
The intercorrelation(s) among variables to be combined into a composite. Can be a scalar or a named vector with element named according to the names of constructs. Default value is .5.
Named list (named according to the constructs included in the meta-analysis) of supplemental artifact distribution information from studies not included in the meta-analysis. This is a list of lists, where the elements of a list associated with a construct are named like the arguments of the create_ad()
function.
Data frame containing columns whose names may be provided as arguments to vector arguments.
Additional arguments
A list of artifact distributions
# NOT RUN {
create_ad_list(n = n, rxx = rxxi, ryy = ryyi,
construct_x = x_name, construct_y = y_name,
sample_id = sample_id,
data = data_r_meas_multi)
# }
Run the code above in your browser using DataLab