When taking online surveys, participants sometimes respond to items
without regard to their content. These types of responses, referred to as
careless or insufficient effort responding, constitute significant problems
for data quality, leading to distortions in data analysis and hypothesis
testing, such as spurious correlations. The 'R' package 'careless' provides
solutions designed to detect such careless / insufficient effort responses
by allowing easy calculation of indices proposed in the literature. It
currently supports the calculation of longstring, even-odd consistency,
psychometric synonyms/antonyms, Mahalanobis distance, and intra-individual
response variability (also termed inter-item standard deviation).
For a review of these methods, see Curran (2016)
Collection of Implementations for Indices of Careless Responding.
Careless or insufficient effort responding in surveys, i.e. responding to items without regard to their content, is a common occurrence in surveys. These types of responses constitute significant problems for data quality leading to distortions in data analysis and hypothesis testing, such as spurious correlations. The R package careless provides solutions designed to detect such careless / insufficient effort responses by allowing easy calculation of indices proposed in the literature. It currently supports the calculation of Longstring, Even-Odd Consistency, Psychometric Synonyms/Antonyms, Mahalanobis Distance, and Intra-individual Response Variability (also termed Inter-item Standard Deviation).
Current version is 1.2.2
To install this package:
devtools package (if necessary). In R, paste the following into the console, note, you may need to update R or R Studio first:install.packages('devtools')
library('devtools')
careless package from the Github source code.install_github('ryentes/careless')
library('careless')
Yentes, R.D., & Wilhelm, F. (2018) careless: Procedures for computing indices of careless responding. R packages version 1.2.0 url: https://github.com/ryentes/careless
This package is free and open source software, licensed under MIT License.