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This study reveals that how sexual harassment is modeled significantly impacts research findings. Properly specified aggregate construct models offer a more accurate understanding of workplace harassment and its effects.

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Area of Science:

  • Psychology
  • Organizational Behavior
  • Sociology

Background:

  • Sexual harassment research consistently shows negative impacts on employee well-being and job attitudes.
  • Existing empirical models often implicitly assume correct specification, potentially leading to biased conclusions.

Purpose of the Study:

  • To present evidence for properly specified aggregate construct models of sexual harassment.
  • To demonstrate how different modeling approaches (aggregate vs. reflective indicator) affect conclusions about harassment's nomological network.

Main Methods:

  • Analysis of three large samples: two from military populations and one from a civilian population.
  • Comparison of aggregate construct models versus reflective indicator models for sexual harassment.

Main Results:

  • The factor structure of sexual harassment differs when analyzed using aggregate construct models.
  • The nomological network of sexual harassment also shows variations based on the chosen modeling approach.

Conclusions:

  • Properly specified aggregate construct models align better with theoretical definitions of sexual harassment.
  • Future research on sexual harassment should carefully consider and specify appropriate measurement models to ensure valid conclusions.