Procedures for Computing Indices of Careless Responding

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) .


Project Status: Active – The project has reached a stable, usable state and is being actively developed. License: MIT
Status master branch: Build Status
Status dev branch: Build Status

Collection of Implementations for Indices of Careless Responding.

Description

Careless or insufficient effort responding in surveys, i.e. responding to items without regard to their content, is a common occurence 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

Current version is 1.1.1

Installing from source

To install this package:

  1. Install and load the 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')
  1. Download and install the careless package from the Github source code.
install_github('ryentes/careless')
library('careless')

APA Citation

Yentes, R.D., & Wilhelm, F. (2018) careless: Procedures for computing indices of careless responding. R packages version 1.1.0 url: https://github.com/ryentes/careless

License

This package is free and open source software, licensed under MIT License.

News

Reference manual

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install.packages("careless")

1.1.3 by Richard Yentes, 9 months ago


https://github.com/ryentes/careless/


Report a bug at https://github.com/ryentes/careless/issues


Browse source code at https://github.com/cran/careless


Authors: Richard Yentes [cre, aut] , Francisco Wilhelm [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports psych

Suggests testthat, knitr


See at CRAN