Dynamic/customized levels in factional factorial design

rockyist — Fri, 10 Nov 2023 13:17:15 GMT

Hello all,

Recently, I'm designing a factional factorial design using SAS. The experimental structure is attached as below:

General alternatives	Alt1	Alt2	Alt3
Specific alternatives	Unimodal	SM_multimodal	PT_multimodal
Mode options	Car, Bike, Walking	Shared car – Walk, Shared E-bike – Walk Shared moped - Walk	BTM – Walk, Train – Walk, Bike – Train, Train – OV-fiets, Train – Shared E-bike, Train – Shared moped
In-vehicle time	70%, 100%, 130%	70%, 100%, 130%	70%, 100%, 130%
Access/egress time	N/A	5min, 10min, 15min	5min, 10min, 15min
Travel cost	80%, 100%, 120%	80%, 100%, 120%	80%, 100%, 120%

Generally, 3 alternatives * 4 attributes * 3 levels are applied here. There should be 1 attribute with 6 levels and 10 attributes will 3 levels. But not all mode options are available for the respondent. For example, a car will not be your option if you don't have a driver's license. In this case, the number of mode options levels is 2 not 3. Levels of this attribute will be extracted based on other questions in my survey. So it makes nonsense if I distribute car to a noe-car person based on the factional factorial result. Anyone have ideas what can I do?

Best,

Re: Dynamic/customized levels in factional factorial design

WarrenKuhfeld — Fri, 10 Nov 2023 13:24:52 GMT

https://support.sas.com/techsup/technote/mr2010c.pdf

https://support.sas.com/rnd/app/macros/MktEx/MktEx.pdf

The MktEx macro makes factorial designs in a straight-forward way (at least when there are no restrictions). Furthermore, it has detailed facilities for imposing restrictions, prohibiting combinations and the like. Look in these sources and elsewhere for examples on restrictions.

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Dynamic/customized levels in factional factorial design

Re: Dynamic/customized levels in factional factorial design