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Affect dynamics or response bias? The relationship between extreme response style and affect dynamics in a controlled
Mirka Henninger1, Niels Vanhasbroeck2, Francis Tuerlinckx3
1Faculty of Psychology, University of Basel.
Extreme responding in intensive longitudinal data (ILD) increases affect variability but not temporal dependencies. This highlights the need to evaluate measurement in psychological assessments of affect dynamics.
Area of Science:
- Psychological Science
- Behavioral Research Methods
Background:
- Intensive longitudinal data (ILD) capture momentary affect and dynamics like variability.
- Self-report data in ILD may be influenced by response biases, such as extreme responding.
- The impact of extreme responding on affect dynamics estimates is a growing concern.
Purpose of the Study:
- To experimentally assess the relationship between extreme responding and affect dynamics.
- To investigate how extreme response style traits influence measures of affect variability and temporal dependencies.
- To evaluate the measurement quality of ILD for psychological assessments.
Main Methods:
- A controlled experiment with a large sample (N = 1,398).
- Measurement of extreme responding via background questionnaires.
- Repeated induction of affect using a probabilistic reward task (T = 140 trials per person).
Main Results:
- Individuals with high extreme response style traits exhibited significantly higher affect variability.
- Extreme responding was not associated with moment-to-moment temporal dependencies in affect.
- Extreme responding did not influence participants' reactivity to affective stimuli.
Conclusions:
- Extreme responding inflates measures of affect variability in ILD.
- Measurement evaluation is crucial for accurate psychological assessments using ILD.
- Future research should focus on improving the assessment of affect dynamics in ILD.
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