Metacognition g-factor study

This study consists of an initial survey, 4 cognitive tasks in a random order, and an ending screen. More details coming soon as manuscript currently being written.
These materials are presented mostly in their entirety as a record of the associated study. Please change the contact details, and participant information and consent sheets if deploying them yourself. Note: fix for Breath Task issue on Safari on MacBooks and mid-task data saving options coming soon.

To run:

1. Place the metacor folder in the top level of wwwroot (e.g. public_html) of your server space
2. Make a folder outside the wwwroot called 'meta_cor_data'
3. Use the following file permissions: Inside wwwroot: 701, outside wwwroot: directories 703 & files 704

Or host somewhere else:

• github pages is free e.g.: https://max-lovell.github.io/gfactor/metacor/survey/survey.html [but see URL changes to PHP below]
• However, if data is recieved from outside the server where data is stored, the folder with the PHP file may need a .htaccess file as well (applies to Apache servers only):
  Header set Access-Control-Allow-Origin "[YOUR SERVER URL ORIGIN]"
Header set Access-Control-Allow-Headers "Content-Type"
• working on a more accessible non-personal server space data storage solution. N=100 will give you ~0.06GB of data so lots of free trial options should work, or google drive maybe.

Notes:

• If changing folder structure make note of following URLs and file paths:
  1. JavaScript: add another '([^\/]/)' to 'const path = loc.pathname.match(/(/[^\/]/)([^\/]*/)/ig)' as many times as the levels deep your files are located.
  2. PHP: 'file_put_contents("../../../meta_cor_data/$file_name.json", $data);' should point from script location to a folder outside your wwwroot and change '../../../' for how many levels deep your files are located
• 'End' has had links to SONA and Prolific removed, which can be used for automatic credit granting.

Try it out here: https://users.sussex.ac.uk/mel29/metacor/survey/survey.html
Note if accessing tasks directly, Gabor and Dots functions require the pixels-per-CM query string ?px_cm= to work e.g. dots.html?px_cm=47, but errors will be thrown on data saving if doing so.
The actual study is currently live: https://users.sussex.ac.uk/mel29/survey/survey.html - please don't send data across if not taking part in the study!

I am working on making this approach as easily deployable as possible, please let me know if the above doesn't work for you.

To compile a dataset in R, with data in a subfolder of the R file directory called 'data':

require('jsonlite')
task_names <- c("survey","dots","gabor","span","breath")
all_files <- list.files("data/")
tasks_raw <- list()
for(t in task_names){ #t<-task_names[4]
  task_files <- all_files[grep(t,all_files)]
  task <- c()
  for(f in task_files){ #f<-task_files[1]
    file <- fromJSON(paste0("data/",f))
    if(length(file)==0){print(f);next} #only an issue if no responses given in breath task
    file$ID <- sub("\\D+","",f)
    if(t=='survey'){ file <- data.frame(file) }
    task <- rbind(task,file)
  }
  write.csv(data.frame(apply(task,2,as.character)),paste0(t,".csv"))#convert to character so commas are correct in CSV
  tasks_raw <- c(tasks_raw,list(task))
}
names(tasks_raw) <- task_names

Contact: m.lovell [at] sussex.ac.uk