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A python toolbox for analyzing and plotting free recall data

Project description

Quail is a Python package that facilitates analyses of behavioral data from memory experiments. (The current focus is on free recall experiments.) Key features include:

  • Serial position curves (probability of recalling items presented at each presentation position)

  • Probability of Nth recall curves (probability of recalling items at each presentation position as the Nth recall in the recall sequence)

  • Lag-Conditional Response Probability curves (probability of transitioning between items in the recall sequence, as a function of their relative presentation positions)

  • Clustering metrics (e.g. single-number summaries of how often participants transition from recalling a word to another related word, where “related” can be user-defined.)

  • Many nice plotting functions

  • Convenience functions for loading in data

  • Automatically parse speech data (audio files) using wrappers for the Google Cloud Speech to Text API

The intended user of this toolbox is a memory researcher who seeks an easy way to analyze and visualize data from free recall psychology experiments.

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