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Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

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Exploring effects of response biases in affect induction procedures.

David J Moulds¹, Jona Meyer¹, Janet F McLean¹

¹Division of Psychology, School of Applied Sciences, Abertay University, Dundee, United Kingdom.

|May 11, 2023

Summary

Self-reports of affect accurately reflect induced moods, even when participants actively appraise stimuli. Behavioral indicators like facial expressions did not corroborate self-reported mood changes, suggesting self-reports are the best measure for affect induction procedures (AIPs).

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Area of Science:

Psychology
Affective Science
Cognitive Psychology

Background:

Affect induction procedures (AIPs) are crucial for mood research.
Self-reports are commonly used to check AIP efficacy.
Concerns exist regarding response biases (demand characteristics, social desirability) influencing self-reports.

Purpose of the Study:

To investigate if self-reported affect reflects genuine mood changes or response biases.
To compare self-reports with behavioral indicators (facial expressions) of affect.
To determine the most reliable method for assessing AIP effectiveness.

Main Methods:

A between-participants design exposed individuals to positive, negative, or neutral images with congruent music.
Participants either actively appraised or passively viewed stimuli.
Facial expressions were analyzed using FaceReader software.

Main Results:

Self-reported mood ratings reflected the induced valence.
The difference between positive and negative affect induction was smaller in the active appraisal condition.
No significant effects of AIPs were observed on FaceReader-derived valence scores.

Conclusions:

Self-reports of experienced affect are not solely due to response biases.
Behavioral indicators (facial expressions) did not corroborate self-reported mood changes.
Self-reports remain the most effective method for checking the efficacy of affect induction procedures.