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The Analysis of Likert Scales Using State Multipoles

Author

Listed:
  • James Camparo

    (Department of Physics and Astronomy, Whittier College)

  • Lorinda B. Camparo

    (Department of Psychology, Whittier College)

Abstract

Though ubiquitous, Likert scaling’s traditional mode of analysis is often unable to uncover all of the valid information in a data set. Here, the authors discuss a solution to this problem based on methodology developed by quantum physicists: the state multipole method. The authors demonstrate the relative ease and value of this method by examining college students’ endorsement of one possible cause of prejudice: segregation. Though the mean level of students’ endorsement did not differ among ethnic groups, an examination of state multipoles showed that African Americans had a level of polarization in their endorsement that was not reflected by Hispanics or European Americans. This result could not have been obtained with the traditional approach and demonstrates the new method’s utility for social science research.

Suggested Citation

  • James Camparo & Lorinda B. Camparo, 2013. "The Analysis of Likert Scales Using State Multipoles," Journal of Educational and Behavioral Statistics, , vol. 38(1), pages 81-101, February.
    • Handle: RePEc:sae:jedbes:v:38:y:2013:i:1:p:81-101
    DOI: 10.3102/1076998611431084
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    References listed on IDEAS

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    1. Bohning, Dankmar & Seidel, Wilfried, 2003. "Editorial: recent developments in mixture models," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 349-357, January.
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