Greetings Forum,
I was wondering if I could get some direction on using monadic exposure vs experimental designs in discrete choice experiments.
Imagine a simple hypothetical discrete choice experiment where the researcher wants to test two different versions of a currently available product. E ...
Search found 12 matches
- Tue Feb 12, 2019 4:36 am
- Forum: General questions about choice experiments
- Topic: Monadic Exposure vs Experimental Design
- Replies: 1
- Views: 6935
- Fri Apr 13, 2018 12:28 am
- Forum: General questions about choice experiments
- Topic: Worse design properties with lower d-error?
- Replies: 2
- Views: 11445
Re: Worse design properties with lower d-error?
Greetings Michiel,
Thank you very much for the reply.
Regards,
Richard
Thank you very much for the reply.
Regards,
Richard
- Wed Apr 11, 2018 11:52 pm
- Forum: General questions about choice experiments
- Topic: Worse design properties with lower d-error?
- Replies: 2
- Views: 11445
Worse design properties with lower d-error?
Greetings,
I created a simple design with 13 exercises/rows using the Federov algorithm that had a d-error of 0.22669. I then tried to create a design with the same number of rows from the same candidate search space using a genetic algorithm (in R). The resulting design had a d-error of 0.22433 ...
I created a simple design with 13 exercises/rows using the Federov algorithm that had a d-error of 0.22669. I then tried to create a design with the same number of rows from the same candidate search space using a genetic algorithm (in R). The resulting design had a d-error of 0.22433 ...
- Sat Feb 17, 2018 6:41 am
- Forum: General questions about choice experiments
- Topic: Partial Profile Designs vs Two-step Design Approach
- Replies: 2
- Views: 12850
Partial Profile Designs vs Two-step Design Approach
Hi All,
What is the best way to handle large numbers of attributes in discrete choice experiments?
Is it better to do a partial profile design or to do some two-step approach such as conducting an "initial study" using a partial profile design, then conduct a final study using the most important ...
What is the best way to handle large numbers of attributes in discrete choice experiments?
Is it better to do a partial profile design or to do some two-step approach such as conducting an "initial study" using a partial profile design, then conduct a final study using the most important ...
- Wed Sep 06, 2017 5:30 am
- Forum: Support for Ngene Desktop (v1.x)
- Topic: Possible to combine level frequency constraints and cond?
- Replies: 1
- Views: 5903
Possible to combine level frequency constraints and cond?
Greetings,
Is it possible to combine attribute level frequency and logical cond constraints?
An example could be, for attribute 1 levels 1-4, attribute 2 level 1 appears 80% of the time and attribute 2 level 2 appears 20% of the time.
I did see that this post "Conditions and attribute level ...
Is it possible to combine attribute level frequency and logical cond constraints?
An example could be, for attribute 1 levels 1-4, attribute 2 level 1 appears 80% of the time and attribute 2 level 2 appears 20% of the time.
I did see that this post "Conditions and attribute level ...
- Mon Jul 25, 2016 11:48 pm
- Forum: Support for Ngene Desktop (v1.x)
- Topic: Overlapping and Partial profile
- Replies: 4
- Views: 11413
Re: Overlapping and Partial profile
Greetings,
With regard to Andrew's first question, how would one estimate a choice model from the "partial" attribute profile design? When setting up the design in, say, NLOGIT would one code attributes that are out of the choice set as -888? Essentially coding it as a "missing attribute" and ...
With regard to Andrew's first question, how would one estimate a choice model from the "partial" attribute profile design? When setting up the design in, say, NLOGIT would one code attributes that are out of the choice set as -888? Essentially coding it as a "missing attribute" and ...
- Thu Feb 18, 2016 1:24 am
- Forum: Support for Ngene Desktop (v1.x)
- Topic: Incorporate contextual variables into orthogonal design
- Replies: 3
- Views: 8355
Re: Incorporate contextual variables into orthogonal design
Greetings Michiel,
Perhaps what I am trying to achieve is a little unorthodox.
1. I am trying to create a fractional factorial orthogonal design for unlabeled alternatives with contextual attributes.
2. In my studies, the respondent makes a choice of an alternative conditional on the contextual ...
Perhaps what I am trying to achieve is a little unorthodox.
1. I am trying to create a fractional factorial orthogonal design for unlabeled alternatives with contextual attributes.
2. In my studies, the respondent makes a choice of an alternative conditional on the contextual ...
- Mon Feb 15, 2016 7:32 am
- Forum: Support for Ngene Desktop (v1.x)
- Topic: Incorporate contextual variables into orthogonal design
- Replies: 3
- Views: 8355
Incorporate contextual variables into orthogonal design
Greetings,
Is there a possible possible work-around to incorporate contextual (socio-economic) variables into fractional factorial designs?
I know this is possible with efficient designs, but I need to run fractional factorial designs because I either need no correlations within or across ...
Is there a possible possible work-around to incorporate contextual (socio-economic) variables into fractional factorial designs?
I know this is possible with efficient designs, but I need to run fractional factorial designs because I either need no correlations within or across ...
- Thu Dec 03, 2015 3:56 am
- Forum: General questions about choice experiments
- Topic: Blocking best-worst design theoretically sound?
- Replies: 2
- Views: 12903
Re: Blocking best-worst design theoretically sound?
Thank you very much for your reply!
- Tue Nov 10, 2015 7:33 am
- Forum: General questions about choice experiments
- Topic: Blocking best-worst design theoretically sound?
- Replies: 2
- Views: 12903
Blocking best-worst design theoretically sound?
Greetings,
I am not sure if this question is fair game on this forum (please kindly let me know if it is not), but since Ngene is an important part of Applied Choice Analysis 2nd ed., I will assume I can ask it.
After reading pg 290 in Applied Choice Analysis 2nd ed (and chapter 6), I am unsure ...
I am not sure if this question is fair game on this forum (please kindly let me know if it is not), but since Ngene is an important part of Applied Choice Analysis 2nd ed., I will assume I can ask it.
After reading pg 290 in Applied Choice Analysis 2nd ed (and chapter 6), I am unsure ...