Sawtooth Software: The Survey Software of Choice

Stephen Smyth

Stephen Smyth

Stephen is a civil engineering graduate who is currently undertaking a master’s degree in operations management in Dublin City University. When not studying (which seems to be less and less at the moment) Stephen plays his guitar for as long and as loud as possible.

The research I am pursuing is related to the effectiveness of road side changeable message signs in influencing road user driving speed during adverse weather conditions. Specifically I am using Sawtooth Adaptive Conjoint Analysis to determine the preferences of survey respondents for specific packages of adverse weather and road condition information, coupled with driver instruction, which could be displayed on road side changeable message signs in real time. I am proposing to determine the part-worth and utility ratings of the information as presented to respondents. The null and alternative hypotheses associated with my research are:

Null Hypothesis (H0) – The preference weight in terms of importance and utility for one attribute and level of adverse weather warning, driving condition information and road user instruction is not statistically significantly different from the preference weight for a
different attribute and level.



Alternative Hypothesis (H1) – The preference weight in terms of importance and utility for one attribute and level of adverse weather warning, driving condition information and road user instruction is statistically significantly different from the preference weight for a
different attribute and level. 

Grant Recipient Profiles

Check out the profiles of our Academic Grant Recipients.

View Profiles

Lighthouse Studio

Lighthouse Studio is our flagship software for producing and analyzing online and offline surveys. It contains modules for general interviewing, choice-based conjoint, adaptive choice-based conjoint, adaptive choice analysis, choice-value analysis, and maxdiff exercises.

Try Lighthouse Studio

  Buy Lighthouse Studio