The lrd package: An R package and Shiny application for processing lexical data

被引:3
|
作者
Maxwell, Nicholas P. [1 ]
Huff, Mark J. [1 ]
Buchanan, Erin M. [2 ]
机构
[1] Univ Southern Mississippi, Sch Psychol, 118 Coll Dr, Hattiesburg, MS 39406 USA
[2] Harrisburg Univ Sci & Technol, Harrisburg, PA USA
关键词
Memory; Cued recall; Free recall; Lexical retrieval; Recall processing; Recall scoring; CONCRETENESS; RATINGS;
D O I
10.3758/s13428-021-01718-y
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
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.
引用
收藏
页码:2001 / 2024
页数:24
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