This package contains various functions for processing and scoring complex-span and attention control tasks downloaded from the EngleLab
There are functions for the Advanced, Foster Shortened, Oswald Shortened, and Standard versions of the complex-span tasks, as well as functions for the Attention Control tasks.
There are also functions to assist in processing and cleaning the data. These include dealing with outliers with replace_outliers(), calculating composite scores from a group of variables with composite(), and removing those with too much missing data on a construct with remove_missing().
Install
devtools::install_github("EngleLab/englelab")Data Preparation
Once you are ready to start analyzing data from the tasks, you will first need to create a merged (.emrg) data file of all the individual .edat files E-Prime produces. How to create a merged E-Prime file
You then will need to export that .emrg file as a tab-delimited .txt file. How to Export E-Prime files to .txt. You need to follow the ‘Export Data to StatView’ instructions AND uncheck Unicode.
You can then import the .txt merged file into R. readr::read_delim()
Usage
Symmetry Span Example
library(readr)
library(dplyr)
library(englelab)
## Import
data_import <- read_delim("import/SymSpan.txt", "\t",
escape_double = FALSE, trim_ws = TRUE)
## Raw
data_raw <- raw_symspan(data_import)
## Score
data_score <- data_raw %>%
group_by(Subject) %>%
score_symspan()See Articles:
Non-R Users
For non-R users, we created a point-and-click GUI to process and score data files from the tasks.
Troubleshooting
If you are having any difficulties with this package please contact Jason Tsukahara at jason.tsukahara@gatech.edu
Citation
If you use this R package in your research, then please cite
Tsukahara, Jason S. (2022). englelab: An R package for processing complex-span and attention control tasks downloaded from the EngleLab (1.1.0). Zenodo. https://doi.org/10.5281/zenodo.6987145