The lrd package: An R package and Shiny application for processing lexical data. Maxwell, N. P., Huff, M. J., & Buchanan, E. M. Behavior Research Methods, 54(4):2001–2024, August, 2022. ![The lrd package: An R package and Shiny application for processing lexical data [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Recall testing is a common assessment to gauge memory retrieval. Responses from these tests can be analyzed in several ways; however, the output generated from a recall study typically requires manual coding that can be time intensive and error-prone before analyses can be conducted. To address this issue, this article introduces lrd (Lexical Response Data), a set of open-source tools for quickly and accurately processing lexical response data that can be used either from the R command line or through an R Shiny graphical user interface. First, we provide an overview of this package and include a step-by-step user guide for processing both cued- and free-recall responses. For validation of lrd, we used lrd to recode output from cued, free, and sentence-recall studies with large samples and examined whether the results replicated using lrd-scored data. We then assessed the inter-rater reliability and sensitivity and specificity of the scoring algorithm relative to human-coded data. Overall, lrd is highly reliable and shows excellent sensitivity and specificity, indicating that recall data processed using this package are remarkably consistent with data processed by a human coder.
@article{maxwell_lrd_2022,
title = {The lrd package: {An} {R} package and {Shiny} application for processing lexical data},
volume = {54},
issn = {1554-3528},
shorttitle = {The lrd package},
url = {https://doi.org/10.3758/s13428-021-01718-y},
doi = {10.3758/s13428-021-01718-y},
abstract = {Recall testing is a common assessment to gauge memory retrieval. Responses from these tests can be analyzed in several ways; however, the output generated from a recall study typically requires manual coding that can be time intensive and error-prone before analyses can be conducted. To address this issue, this article introduces lrd (Lexical Response Data), a set of open-source tools for quickly and accurately processing lexical response data that can be used either from the R command line or through an R Shiny graphical user interface. First, we provide an overview of this package and include a step-by-step user guide for processing both cued- and free-recall responses. For validation of lrd, we used lrd to recode output from cued, free, and sentence-recall studies with large samples and examined whether the results replicated using lrd-scored data. We then assessed the inter-rater reliability and sensitivity and specificity of the scoring algorithm relative to human-coded data. Overall, lrd is highly reliable and shows excellent sensitivity and specificity, indicating that recall data processed using this package are remarkably consistent with data processed by a human coder.},
language = {en},
number = {4},
urldate = {2024-10-04},
journal = {Behavior Research Methods},
author = {Maxwell, Nicholas P. and Huff, Mark J. and Buchanan, Erin M.},
month = aug,
year = {2022},
keywords = {Cued recall, Free recall, Lexical retrieval, Memory, Recall processing, Recall scoring},
pages = {2001--2024},
}
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