Calculate Task Split Half Reliability Estimates
A series of functions to calculate the split
half reliability of RT based tasks. The core function performs a Monte Carlo
procedure to process a user defined number of random splits in order to
provide a better reliability estimate. The current functions target the dot-
probe task, however, can be modified for other tasks.
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.
Functions in splithalf
|DPsplithalf.all||Dot-Probe Split Half|
|TSTdata||Generated dataset of Task switching data|
|splithalf||Dot-Probe Split Half|
|DPsplithalf.ABM||Dot-Probe Split Half|
|DPsplithalf||Dot-Probe Split Half|
|TSTdata_missing||Generated dataset of Task switching data with missing data|
|TSTsplithalf||Task switching paradigm Split Half|
|DPdata||Generated dataset of Dot-probe data|
|DPdata_missing||Generated dataset of Dot-probe data with missing data|
Last month downloads
|Packaged||2017-04-26 14:16:00 UTC; parsonss|
|Date/Publication||2017-04-26 16:26:11 UTC|
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