Title

Optimal Number of Factors for Choice Experiments in Mining Community Consultation/Surveying

Presenter Information

Reinhold Daykin J. Schnell

Department

Arts, Languages, and Philosophy

Major

Mining Engineering

Research Advisor

Klein, Brandi
Awuah-Offei, Kwame, 1975-

Advisor's Department

Psychological Science

Second Advisor's Department

Mining Engineering

Funding Source

OURE Fellows Program

Abstract

This study used choice experiments of different variable ranges to investigate the optimal number of variables to be used in choice experiments. Too many variables for a choice experiment can increase participants’ cognitive load to the point that it becomes a burden, leading them to make choices that aren’t in line with their actual beliefs. Choice experiments allow researchers to assess participants’ preferences regarding mining projects in their community. An online-based tool called Qualtrics was used to collect data. Results indicate that participants exerted more mental effort as the number of variables increased. They rated each level as significantly more difficult than the previous level. There is evidence that four variables is the optimal number of variables to use in choice experiments. These results suggest that mining communities using choice experiments for community consultation should be aware of the demands of cognitive load and limit choice experiments to four variables.

Biography

Reinhold Daykin J. Schnell is a junior in Mining Engineering at the Missouri University of Science and Technology. As a recent member of the Student Mine Design Team, he has experience and knowledge in mine planning and knows the major factors that play roles in the interaction between mining companies and communities. The mine design competition requires independent research by the team to complete the design tasks during the competition. Daykin is also a member of the Missouri University of Science and Technology Mine Rescue Team and is knowledgeable in the hazards and inner workings of mining operations.

Research Category

Social Sciences

Presentation Type

OURE Fellows Final Oral Presentation

Document Type

Presentation

Award

Fellows 13-14 Final Stipend

Location

Carver Room

Presentation Date

16 Apr 2014, 2:00 pm - 2:30 pm

Comments

Joint Project with Rachel Stancil-Bacon, Brittney Abel, Jordan Verslues

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Apr 16th, 2:00 PM Apr 16th, 2:30 PM

Optimal Number of Factors for Choice Experiments in Mining Community Consultation/Surveying

Carver Room

This study used choice experiments of different variable ranges to investigate the optimal number of variables to be used in choice experiments. Too many variables for a choice experiment can increase participants’ cognitive load to the point that it becomes a burden, leading them to make choices that aren’t in line with their actual beliefs. Choice experiments allow researchers to assess participants’ preferences regarding mining projects in their community. An online-based tool called Qualtrics was used to collect data. Results indicate that participants exerted more mental effort as the number of variables increased. They rated each level as significantly more difficult than the previous level. There is evidence that four variables is the optimal number of variables to use in choice experiments. These results suggest that mining communities using choice experiments for community consultation should be aware of the demands of cognitive load and limit choice experiments to four variables.