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Test-Retest Reliability of the Verran Professional Governance Scale.

Kirsten Wisner1, Steven Kim2, Paula M Meek3

  • 1Salinas Valley Health, Salinas, CA, USA klwisner@gmail.com.

Journal of Nursing Measurement
|June 4, 2024
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Summary
This summary is machine-generated.

The Verran Professional Governance Scale (VPGS) shows reliable results in test-retest stability testing. This indicates the VPGS is a consistent measure for professional governance in research settings.

Keywords:
professional governancepsychometric testingreliabilitystabilitytest–retest

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Area of Science:

  • Nursing
  • Healthcare Administration
  • Psychometrics

Background:

  • Stability testing is crucial for assessing the reliability of measurement instruments.
  • The Verran Professional Governance Scale (VPGS) is a key tool, but its test-retest reliability has not been previously established.
  • Evaluating instrument reliability ensures consistent and valid data collection in research.

Purpose of the Study:

  • To determine the test-retest reliability of the Verran Professional Governance Scale (VPGS).
  • To provide empirical evidence for the stability of the VPGS over a short interval.

Main Methods:

  • A test-retest protocol was employed with participants from a parent study.
  • The VPGS was administered twice, with a 14-day interval between administrations.
  • Intraclass correlation coefficients (ICCs) were calculated to compare responses.

Main Results:

  • VPGS subscales demonstrated good to excellent test-retest reliability.
  • Intraclass correlation coefficients (ICCs) were 0.71 for decision-making, 0.73 for collateral relationships, and 0.86 for professional obligation.
  • These findings indicate consistent participant responses upon retesting.

Conclusions:

  • The Verran Professional Governance Scale (VPGS) exhibits acceptable test-retest reliability.
  • The VPGS can be considered a stable instrument for measuring professional governance.
  • Further research is recommended to assess the VPGS's responsiveness to change.