2. Project Overview

This section describes the tools we use for different phases of research.

File management and communication

• box.com Whenever possible, save work in the appropriate project folder.
• slack Use slack to communicate updates or questions when possible.

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Design

• python Python is a coding language which can be helpful for automating tasks, like creating a .jpg with a text on screen, renaming 100 image files, or shuffling items in an experiment with the specific criteria we need.
• pixton.com We've used Pixton to create images in the past.

Experiment

• python Python allows for the most freedom and control in designing experiments, but takes much longer.
• e-prime E-prime is the default method for designing an experiment, especially if desired stimuli is a fixed recording, and the experiment order is fixed (not dependent on participant behavior). We've used E-prime to record typed, clicked, touch-screen tapped, and audio information.

Raw data

• E-prime outputs data as an .edat file or audio .wav files. The edat file must be opened with the edat reader, cells copied and pasted to another program such as excel.
• excel is often an easy way to create a .csv file for analysis in r.

Coding tools

• ELAN
• PRAAT
• chronset

Data analysis/results

• r This is the preferred method for data manipulation, data analysis and visualization.
• excel Excel offers quick and dirty ways to edit, explore and visualize data, however, these conveniences come at a price of limited fine-grained control.
• python Python can be helpful for extracting or restructuring data if the intended data structure is very different from the raw data structure (e.g. multiple conditional constraints and transformations).

Continue to Expectations to learn more about your role in the lab.