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
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.
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()
For non-R users, we created a point-and-click GUI to process and score data files from the tasks.
If you are having any difficulties with this package please contact Jason Tsukahara at firstname.lastname@example.org
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