Calculate Task Split Half Reliability Estimates

Estimate the internal consistency of your tasks with a permutation based split-half reliability approach. Unofficial release name: "Fight Milk - re-brand".


splithalf R package

This package contains several functions to calculate the split-half reliability of response time based cognitive tasks.

Currently the package contains the following functions;

splithalf() calculates the split-half reliability within the conditions specified. DPsplithalf() calculates the split-half reliability for the attention bias index from dot-probe data, in each condition specified. DPsplithalf.all() calculates the split-half reliability for the attention bias index from dot-probe data, and the split-half reliabilities of congruent and incongruent trials, in each condition specified. TSTsplithalf() calculates the split-half reliability for switch cost indices in a task switching paradigm, as well as for the repeat and switch trials separately.

Functions will be added as they are developed, including accuracy rate indices, task-switching paradigms. The central code of the splithalf functions can be modified as needed to fit with most tasks.

Examples for each function are provided in the function descriptions, and two extended examples are presented in the vignette.

News

splithalf v0.2.0 (current development version)

Changes:

  • Added the TSTsplithalf function
  • Some minor bug fixes
  • Output for all functions now includes two-part alpha

splithalf v0.1.0 (Release data: 07/04/2017)

Changes:

  • Submitted to CRAN

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("splithalf")

0.5.2 by Sam Parsons, 2 months ago


http://github.com/sdparsons/splithalf


Report a bug at http://github.com/sdparsons/splithalf


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


Authors: Sam Parsons [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports tidyr, dplyr, stats, Rcpp, robustbase

Suggests knitr, rmarkdown, tools, ggplot2

Linking to Rcpp


See at CRAN