The lrd package: An R package and Shiny application for processing lexical data
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...
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| Published in: | Behavior research methods 2022-08, Vol.54 (4), p.2001-2024 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | eng |
| Subjects: | |
| Online Access: | Get full text |
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| Summary: | 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. |
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| ISSN: | 1554-3528 1554-3528 |