Design Choice-based Conjoint (CBC) study in Python/ R -- 2

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We need a Choice-based Conjoint study developed in order to survey customers about features of a product. This is a proof of concept that will be iterated so ongoing work should be expected. The study should be kept flexible to allow future enhancement.

We're quite clear on the design, attributes/ levels (4/ 4) of the study and already have an exact working prototype using an online choice-modelling survey platform.

The developer will also need to create the front-end of the application where the respondent will go through the pair-wise conjoint. The pair-wise options will be images instead of textual descriptions of the attributes/ levels. We already have the images prepared and know how they will match to combinations of levels for which an algorithm will be required to query the right image.

If you are interested, you will:

- Already have prior experience in using statistical programming language such as python/ r

- Previously developed conjoint studies and able to quickly refer to existing libraries/ packages to develop the study

- Quite familiar with the mathematics behind choice modelling and able to suggest different conjoint designs such as adaptive (ACBC) max diff, ranking, pair-wise, etc.

- Available to work immediately or soon on the project.

데이터 과학 Python R 프로그래밍 언어 통계 분석

프로젝트 ID: #17393855

프로젝트 소개

1건(제안서) 재택 근무형 프로젝트 서비스 이용 중: 5년 전

이 프로젝트의 입찰 현황은 다음과 같습니다. 입찰자: 1명, 평균 입찰가: $125

DarkKnight2206

Hello! I am a python developer. I looked at your project and it seems interesting. I have all necessary skills required for this project. Ping me to discuss in detail.

$125 AUD (2일 이내)
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