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Otherness measuring scale: design and validation for social sciences.

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This study validates a new scale to measure otherness and coexistence in social science research. The scale effectively quantifies these concepts, aiding future applied research on social dynamics.

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Area of Science:

  • Social Science Research
  • Psychometrics

Background:

  • Understanding the relationship between coexistence and otherness is crucial in social science.
  • Existing measures may not adequately capture these complex constructs.

Purpose of the Study:

  • To demonstrate the relationship between coexistence (independent variable) and otherness (dependent variable).
  • To develop and statistically validate a scale for measuring otherness and coexistence in applied social science research.

Main Methods:

  • A mixed-methods approach combining qualitative and quantitative procedures.
  • Utilized two semantic differentials and a 33-item questionnaire with 600 participants.
  • Virtual data collection due to the SARS-CoV-2 pandemic.

Main Results:

  • Identified two key factors of otherness: 'the other as strange/foreign' and 'the other as equal'.
  • The final 10-item scale demonstrated strong reliability (Cronbach's alpha = 0.86).
  • The scale explained 58% of the variance in otherness.

Conclusions:

  • The validated scale provides a reliable and systematic way to measure otherness and coexistence.
  • This tool is suitable for applied research in social sciences.
  • Findings contribute to a nuanced understanding of social interactions and perceptions.