The main goal of Lextale package is to mark and calculate the %correctAV scoring for the English, German and Dutch LexTALE-test if administered using implementations that do not end with participants’ score on the screen, e.g. online surveys. For more info about the test, see Lemhöfer & Broersma, 2012.
Functions and Arguments
lex(dataframe)This function mark and calculates the lextale score for the English and German versions of the test. Its argument takes a dataframe which must inclue two variables(columns): - ID: each ID must have 60 entries, e.g. ID 1987 repeated 60 times, with 40 IDs per time (=2400 rows). - answer: a variable of 0/1, with 2400 rows.
Running this function exports/saves a file named ‘lex.scores.csv’ to your directory. Please note both columns names are case-sensitive. Using this function returns the scores of 40 participants in one lex-click! Future work will be on accepting and open number of scores, and on accepting Yes/No in the argument.
lex.dutch(dataframe) This function mark and calculates the lextale score for the Dutch version of the test. This function takes a dataframe which must inclue two vectors: - ID: each ID must have 60 entries, e.g. ID 1987 repeated 60 times, with 40 IDs per time (=2400 rows). - answer: a variable of 0/1, with 2400 rows.
Running this function exports/saves a file named ‘lex_dutch.scores.csv’ to your directory. Please note both columns names are case-sensitive. Using this function returns the scores of 40 participants! Future work will be on accepting and open number of scores, and on accepting Yes/No in the argument.
CEF() This function categorises the English lexTALE-scores into three CEF levels. The categorisation is based on Lemhöfer & Broersma, 2012 study. cef() argument takes a vector score (variable/column) of values from 0 to 100. The function creates two new columns, CEF.level & CEF.descr. based on the provided scores.
Running this function exports/saves a file named ‘score2cef.csv’ to your directory.
Installation
You can install the Lextale package from GitHub with:
# install.packages("devtools")
devtools::install_github("Ghozayel/Lextale", dependencies = TRUE)Examples
The first 3 lines below generate fake data for the purpose of testing the functions:
answer <- sample(c(0/1), replace = TRUE, 2400) #generate 2400 random binary responses
ID <- gl(40, 60) #generate 40 ids
data <- cbind(ID, answer, score) #combine the three vectors above into one dataframe- lex()
#The following line calculates the score for the English and German versions of lextale-test:
Lextale::lex(data)- lex_dutch()
#The following line calculates the score for the lextale Dutch test:
Lextale::lex_dutch(data)- cef(data)
#run lex() first before running this function.
#change the column 'p.correctAV' in the resulted csv.file into 'score'
#The following line categorises English lextale-scores into 3 CEF levels, provided with *score* vector in the data:
Lextale::cef(data)Cite as
Elotteebi, G. (2022). Lextale R-package: A package to calculates %correctAV of the LexTALE test (Version 2.0.0) [Computer software]. https://doi.org/10.5281/zenodo.7017230
