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Related Experiment Videos

Controlling for rater effects when comparing survey items with incomplete Likert data.

E M Schulz1, A Sun

  • 1ACT, Inc., Iowa City, IA 52243, USA. schulz@act.org

Journal of Applied Measurement
|May 16, 2002
PubMed
Summary

The rating scale model accurately estimates item performance by correcting for "pleasability," a bias caused by students rating only services they used. This method improves predictions of item ratings compared to simple average scores.

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Area of Science:

  • Educational Measurement
  • Psychometrics
  • Survey Methodology

Background:

  • College service satisfaction surveys often use Likert scales.
  • Differential item exposure can bias average ratings.
  • The
  • pleasability
  • factor affects student ratings based on service usage.

Purpose of the Study:

  • To apply the rating scale model to student satisfaction data.
  • To assess the impact of differential item exposure on rating bias.
  • To evaluate the effectiveness of the rating scale model in correcting for bias.

Main Methods:

  • Utilized the rating scale model (Andrich, 1978).
  • Analyzed data from a five-point Likert scale survey on college services.

Related Experiment Videos

  • Accounted for differential exposure to the
  • pleasability
  • factor.

    • Main Results:

    • Average item ratings were biased due to differential exposure to
    • pleasability
    • .
    • Rating scale model item parameter estimates corrected for this bias.
    • Item parameter estimates better predicted relative item ratings than average ratings.

    Conclusions:

    • The rating scale model provides unbiased item performance estimates.
    • Correcting for differential exposure is crucial for accurate survey analysis.
    • This model enhances the reliability of satisfaction survey data.