A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires

The intent is to develop scales that are reasonably independent of one another, so an orthogonal rotation is recommended for this analysis

Timothy R. Hinkin


Scholarcy highlights

  • In an extensive review of the organizational behavior literature, Hinkin found that inappropriate domain sampling, poor factor structure, low internal consistency reliability and poor reporting of newly developed measures continue to threaten our understanding of organizational phenomena
  • Confirmatory factor analysis allows the researcher to quantitatively assess the quality of the factor structure providing further evidence of the construct validity of the new measure
  • The methodology is similar to that described in the confirmatory factor analysis section above, with the additional measures used in the analysis
  • Scale development clearly involves a bit of art as well as a lot of science
  • Anyone who has gone through a process similar to that described above will understand the difficulty of developing sound measures
  • Use of a process similar to this has resulted in measures that appear to be psychometrically sound
  • By carefully following the process outlined in this article, the researcher should end up with measures that are efficient and effective to use and satisfy APA standards for psychometric adequacy

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