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Scale Effects in Moral Relevance Assessment.

Jonas Nagel1, Andrej Rybak1

  • 11 Department of Psychology, University of Göttingen, Germany.

Experimental Psychology
|May 13, 2017
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The number of options on moral judgment scales influences responses by altering question meaning. This suggests moral judgments are constructed ad hoc, not reflecting stable beliefs.

Keywords:
decision makingmoral judgmentmoral relevancepreference constructionpresuppositionscale effects

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Area of Science:

  • Moral Psychology
  • Decision-Making Research
  • Cognitive Science

Background:

  • Moral judgment research frequently uses bipolar rating scales.
  • The number of response options (odd vs. even) on these scales is often overlooked.
  • Scale design may implicitly influence participant interpretation.

Purpose of the Study:

  • To investigate how the number of response options on rating scales affects moral relevance judgments.
  • To explore the implicit presuppositions communicated by scale design.
  • To challenge the assumption that expressed judgments directly reflect stable moral commitments.

Main Methods:

  • Experimental manipulation of the number of response options (odd vs. even) on moral judgment scales.
  • Presentation of moral judgment problems to participants.
  • Statistical analysis to assess the impact of scale design on expressed judgments.
  • Testing and refutation of alternative explanations like trivial measurement distortion.

Main Results:

  • The number of response options significantly and qualitatively altered moral relevance judgments.
  • Scale effects were demonstrated experimentally, refuting trivial measurement distortion.
  • Evidence suggests specific factors contribute to these scale-dependent effects.

Conclusions:

  • Expressed moral judgments are often constructed ad hoc, not necessarily reflecting stable underlying moral commitments.
  • Scale design is a critical methodological consideration in moral psychology and decision-making research.
  • Findings have implications for the interpretation of existing research and the design of future studies.