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Related Experiment Videos

Cross-validating the Berlin Affective Word List.

Melissa L H Võ1, Arthur M Jacobs, Markus Conrad

  • 1Freie Universität Berlin, Berlin, Germany. lehoa@psy.uni-muenchen.de

Behavior Research Methods
|March 31, 2007
PubMed
Summary
This summary is machine-generated.

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Researchers now have the Berlin Affective Word List (BAWL), a German database with emotional valence and imageability ratings for over 2,200 words. This resource aids studies on emotional word processing.

Area of Science:

  • Psychology
  • Linguistics
  • Neuroscience

Background:

  • Emotional processing of words is crucial in cognitive science.
  • Existing German language resources for affective word norms are limited.
  • A comprehensive database for German affective words is needed for research.

Purpose of the Study:

  • Introduce the Berlin Affective Word List (BAWL).
  • Provide researchers with a German database of emotional valence and imageability ratings.
  • Facilitate the creation of stimulus materials for emotional word processing experiments.

Main Methods:

  • Compiled a database of over 2,200 German words with valence and imageability ratings.
  • Cross-validated the BAWL using a forced-choice valence decision task.

Related Experiment Videos

  • Utilized reaction time (RT) measurements to corroborate valence categories.

    • Main Results:

    • The Berlin Affective Word List (BAWL) contains ratings for over 2,200 German words.
    • Reaction times were longest for neutral words, supporting the established valence categories.
    • The BAWL provides reliable data for negative, neutral, and positive emotional content.

    Conclusions:

    • The BAWL is a valuable resource for researchers studying emotional word processing in German.
    • The database aids in selecting controlled stimulus materials for psychological experiments.
    • The cross-validation confirms the utility and accuracy of the BAWL ratings.