Beyond the bipolar: allowing satisfaction and dissatisfaction to coexist
1Department of Psychology, Clemson University, Clemson, SC, United States.
Frontiers in Psychology
|October 29, 2025
Summary
Satisfaction and dissatisfaction are distinct, separable emotions that can coexist, challenging the traditional bipolar view. This research advocates for bivariate unipolar scales for more accurate measurement of complex human emotional states.
Area of Science:
- Psychology
- Human-Computer Interaction
- Information Science
Background:
- Traditional models often view satisfaction and dissatisfaction as opposite ends of a single bipolar spectrum.
- Existing measurement scales may not fully capture the complexity of human emotional states, particularly ambivalence and indifference.
- Psychological theories suggest separate processing of positive and negative emotions.
Purpose of the Study:
- To propose and support a separable, multi-dimensional account of satisfaction and dissatisfaction.
- To advocate for the use of bivariate unipolar scales over unidimensional bipolar scales for measurement.
- To provide guidance for researchers on measuring and understanding these distinct emotional constructs.
Main Methods:
- Narrative literature review integrating theories from psychology and empirical evidence from various disciplines.
- Analysis of existing measurement approaches, highlighting limitations of bipolar scales.
- Examination of qualitative and empirical evidence supporting the distinct nature of satisfaction and dissatisfaction.
Main Results:
- Satisfaction and dissatisfaction are distinct constructs that can coexist, particularly in ambivalent or indifferent contexts.
- Bivariate unipolar scales are more effective than bipolar scales for capturing these nuances.
- Satisfaction and dissatisfaction arise from different factors and influence behavior uniquely.
Conclusions:
- A separable, multi-dimensional perspective offers a more complete understanding of human emotions, motivations, and behaviors.
- Adopting bivariate unipolar measurement enhances accuracy in assessing satisfaction and dissatisfaction.
- This approach leads to deeper insights and more effective strategies in research and practice.
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