| ############################################################################ | |
| # # | |
| # Excluding participants who participated in previous studies # | |
| # By Arnoud Plantinga, based on Gabriele Paolacci's Excel solution # | |
| # # | |
| # Instructions (Note: edit only the non-indented lines): # | |
| # # | |
| # 1. Create a qualification (e.g., "Study 1"; keep in mind that the name # | |
| # will be visible to Workers) in MTurk/Manage/Qualification Types # | |
| # # | |
| # 2. Download from Manage Workers your "WorkerList", i.e., the list of # | |
| # workers who participated in any of your study in the past. This may # | |
| # take some time. # | |
| # # | |
| # 3. Download from MTurk the Results batch of your previous studies # | |
| # (i.e., of the study whose participants you want to exclude). # | |
| # # | |
| # 4. Change the folder (e.g., "C:/Downloads"), name of your # | |
| # workerlist (e.g., "User_394740_workers.csv"), name of your new # | |
| # qualification (e.g., "Study 1") and names of your batches # | |
| # (e.g., "Batch_1921108_batch_results.csv", ...) below # | |
| # # | |
| # 5. Run the script. # | |
| # # | |
| # 6. Upload the newly created file "Workerlist.csv" in the Manage Workers # | |
| # page, and confirm that you want to assign the "Study 1" Qualification # | |
| # to a bunch of workers (the amount should again be equal to the N of # | |
| # your Study 1). # | |
| # # | |
| # 7. When you design your Study 2 HIT, require that the Qualification # | |
| # "Study 1" "is not equal to" "1". People who were assigned that "1" in # | |
| # your WorkerList file will not be able to participate in your study. # | |
| # # | |
| ############################################################################ | |
| # Load files -------------------------------------------------------------- | |
| # Set the folder where your workerlist etc. are stored | |
| setwd("C:/Downloads/") | |
| # Load your workerlist | |
| workerlist <- read.csv("User_394740_workers.csv", check.names=F) | |
| # Name of your new qualification | |
| qualification <- "Study 1" | |
| # Load your previous batches of the studies whose participants you want to | |
| # exclude (add more batches if needed) | |
| batch <- list() | |
| batch[[1]] <- read.csv("Batch_1921108_batch_results.csv") | |
| batch[[2]] <- read.csv("Batch_1921214_batch_results.csv") | |
| # Create list of previous studies ----------------------------------------- | |
| # Create a list of workerIDs | |
| workerids <- c() | |
| for (i in 1:length(batch)) { | |
| workerids <- c(workerids, as.character(batch[[i]]$WorkerId)) | |
| } | |
| # Update variable --------------------------------------------------------- | |
| workerlist[, paste("UPDATE-", qualification, sep = "")] <- | |
| ifelse(workerlist[, "Worker ID"] %in% workerids, 1, NA) | |
| # Give some feedback | |
| paste("A total of", | |
| table(workerlist[, paste("UPDATE-", qualification, sep = "")]), | |
| 'workers now has the qualification', qualification) | |
| # Save csv ---------------------------------------------------------------- | |
| write.csv(workerlist, file="Workerlist.csv", na="", row.names=F) |
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