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

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  • 1The University of Southern Mississippi, School of Psychology, 118 College Dr, Hattiesburg, MS, 39406, USA. nicholas.maxwell@usm.edu.

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Summary
This summary is machine-generated.

This study introduces Lexical Response Data (lrd), an open-source tool for efficient and accurate processing of recall test data. Lrd demonstrates high reliability and accuracy, matching human coder performance for memory retrieval analysis.

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Area of Science:

  • Cognitive Psychology
  • Computational Linguistics
  • Data Science

Background:

  • Recall testing is crucial for memory retrieval assessment.
  • Manual coding of recall responses is time-consuming and prone to errors.
  • Automated processing tools are needed to improve efficiency and accuracy.

Purpose of the Study:

  • Introduce Lexical Response Data (lrd), an open-source software package.
  • Provide a user guide for processing cued- and free-recall data.
  • Validate the accuracy and reliability of lrd for analyzing lexical response data.

Main Methods:

  • Developed lrd as an R package with command-line and Shiny GUI options.
  • Applied lrd to recode data from large-scale cued, free, and sentence-recall studies.
  • Assessed inter-rater reliability, sensitivity, and specificity against human coding.

Main Results:

  • Lrd processing replicated results from human-coded data across different recall types.
  • The lrd algorithm demonstrated high inter-rater reliability.
  • Excellent sensitivity and specificity were observed, comparable to human coders.

Conclusions:

  • Lrd offers a reliable and accurate method for processing lexical response data from recall tests.
  • The tool significantly reduces manual coding time and potential errors.
  • Lrd facilitates efficient and consistent analysis of memory retrieval data.