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Experimental Designs

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An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...

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A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

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Conducting online expert panels: a feasibility and experimental replicability study.

Dmitry Khodyakov¹, Susanne Hempel, Lisa Rubenstein

¹The RAND Corporation, 1776 Main Street, PO Box 2138, Santa Monica, CA 90401, USA. Dmitry_Khodyakov@rand.org

BMC Medical Research Methodology

|December 27, 2011

Summary

Online expert panels are feasible for consensus finding among distributed stakeholders. This method allows for testing the replicability of findings across multiple panels of varying sizes.

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Area of Science:

Health services research
Online consensus building
Expert panel methodology

Background:

Exploring the feasibility of online expert panels for consensus finding.
Assessing the replicability of panel findings across different panel sizes.

Purpose of the Study:

To determine if online expert panels can effectively achieve consensus among geographically dispersed stakeholders.
To evaluate the consistency of results when using multiple, parallel online panels of varying sizes.

Main Methods:

119 panelists engaged in an iterative process to define Continuous Quality Improvement (CQI) features.
Four parallel online panels used the RAND's ExpertLens process over three phases: rating, online discussion, and re-rating.
Utilized asynchronous, anonymous online discussion boards for expert deliberation.

Main Results:

Panel disagreement decreased after online discussion for 36 out of 43 CQI features.
Fair agreement (four-way kappa=0.36) was achieved across four panels on five of eleven CQI features.
Participants were generally satisfied with the online process; larger panels fostered more perceived debate.

Conclusions:

Online expert panels are a feasible method for consensus building among distributed stakeholders.
This approach is practical for engaging diverse groups in health services research.
Multiple parallel online panels can be used to test the reproducibility of consensus findings.