[R-meta] Question Re: Correcting for Statistical Artifacts
Tori Peña
Tor|@Pen@ @end|ng |rom @tonybrook@edu
Thu May 25 17:51:23 CEST 2023
Hello Listserv -
I'm sending this question out again in case it slipped through the cracks:
I am working on a multilevel meta-analysis and a reviewer asked us to
correct for statistical artifacts (e.g., measurement error). The reviewer
cited Wiernik & Dahlke (2020) which includes some code using the metafor
package.
I am still unclear on a couple of things related to these analyses. First,
can one apply these analyses to nested models? Second, one needs observed
selection-effect *u* ratios to conduct these models but I am not sure how
to get these values to consequently conduct the models. I copied and
pasted example code from Wiernik & Dahlke (2020) below for reference. The
"ux" and "uy" values are the selection-effect *u *ratios.
ma_results_r <-
ma_r(ma_method = "ad",
rxyi = rxyi,
n = n,
rxx = rxxi,
ryy = ryyi,
ux = ux,
uy = uy,
correct_rxx = TRUE,
correct_ryy = TRUE,
correct_rr_x = TRUE,
correct_rr_y = TRUE,
indirect_rr_x = TRUE,
indirect_rr_y = TRUE,
data = data_r_bvirr)
Any guidance would be greatly appreciated! Thank you in advance for your
time and energy on addressing this question. I especially wanted to get
input from this group since these analyses are new to me.
Best,
Tori
--
*Tori Peña, Ph.D. *(she/her/ella)
Cognitive Psychology
Dept. of Psychology
Stony Brook University
Stony Brook, NY 11790-2500
[image: Stony Brook University logo]
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