Creating a sample of articles

In response to the reviewes, to evaluate differences between evaluators, we selected five articles that had been rated in the last round of ratings and assigned four of them to the other four evaluators that had not previously evaluated the articles.

Step 1

R setup

library("dplyr")
library("pander")
library("Reproducibility.in.Plant.Pathology")

set.seed(500) # note that `set.seed()` is different for all four rounds

# For printing tibble in total
options(tibble.print_max = 21, tibble.print_min = 21)

Import Data

rrpp <- import_notes()

Subset Data

inter_rater_evals <-
  rrpp %>%
  mutate(year = as.character(year)) %>%
  mutate(year = as.numeric(year)) %>%
  filter(year >= 2019) %>%
  group_by(assignee) %>%
  slice_sample(n = 1)

These are the five articles that will be evaluated by all five evaluators. All five have previously been evaluated by one of the evaluators, now all five evaluators will evaluate them, so every evaluator will evaluate four more.

pander(inter_rater_evals[, c(1, 3, 5, 7)])
journal year assignee doi_url
Journal of General Plant Pathology 2021 Adam #NAME?
Tropical Plant Pathology 2019 Emerson #NAME?
Phytoparasitica 2021 Kaique #NAME?
Nematology 2020 Nik #NAME?
Phytopathologia Mediterranea 2021 Zach #NAME?

These articles were all scored individually and blindly, that is, none of the other evaluators saw the scores of the other evaluations until after all scores were completed and compiled.

Colophon

sessioninfo::session_info()
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