Main content

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Methods and Measures

Description: Recall testing is a common assessment to gauge memory retrieval. Responses from these tests can be analyzed in several ways; however, the output generated in a recall study typically requires manual coding that can be time intensive and error-prone before any 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 cued-, free-, and sentence-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.

License: GNU General Public License (GPL) 3.0

Wiki

Recall testing is a common assessment to gauge memory retrieval. Responses from these tests can be analyzed in several ways; however, the output they generate typically requires manual coding that can be time intensive and error-prone before any analyses can be conducted. To address this issue, this article introduces lrd (Lexical Response Data), an open-source tool for quickly and accurately proc…

Files

Files can now be accessed and managed under the Files tab.

Citation

Tags

Cued-RecallFree-RecallLexical RetrievalMemoryMethodsRSensitivity/Specificity

Recent Activity

Unable to retrieve logs at this time. Please refresh the page or contact support@osf.io if the problem persists.

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.