This paper looks at the comparative reliability of different methodological variants of the conjoint analysis procedure. It differs from previous studies in that it looks at three methods of data collection (Full Profile, Trade-off Matrices, and Paired Comparison) and two levels of a key attribute (price) across five different product categories. In addition it tests these manipulations using two different reliability assessment procedures. The results show that most manipulations have a significant effect on the reliability scores and many interaction terms are significant.conjoint analysis, data collection, product categories, reliability assessment
International audienceThis simulation study investigates how conjoint analysis recovers various type...
Based on experimental designs, conjoint analysis is a statistical methodwidely used in data analysis...
AbstractBackgroundThe application of conjoint analysis (including discrete-choice experiments and ot...
This paper looks at the comparative reliability of different methodological variants of the conjoint...
Due to more and more online questionnaires and possible distraction—e.g. by mails, social network me...
An experiment is designed for testing validity and reliability of two data gathering procedures in c...
The assumption of only main effects in Conjoint Analysis methods has created a debate whether to foc...
Ceressec, n° DR 92037Unlike most studies reported in the marketing literature about conjoint analysi...
International audienceMarketing research studies using conjoint analysis typically involve many attr...
Conjoint Analysis (CA) is a popular statistical method for determining how customers prefer and val...
Beginning with data collection, Robust Conjoint Analysis demonstrates quite a few comparative advant...
This study aims to draw conjoint researchers ’ attentions to the existence of systematic errors embe...
In market researche we often need statistical methods able to jointly deal with numerical and textua...
With 30 years of development and innovation, conjoint analysis has grown to become the foremost tech...
SIGLELD:D50590/84 / BLDSC - British Library Document Supply CentreGBUnited Kingdo
International audienceThis simulation study investigates how conjoint analysis recovers various type...
Based on experimental designs, conjoint analysis is a statistical methodwidely used in data analysis...
AbstractBackgroundThe application of conjoint analysis (including discrete-choice experiments and ot...
This paper looks at the comparative reliability of different methodological variants of the conjoint...
Due to more and more online questionnaires and possible distraction—e.g. by mails, social network me...
An experiment is designed for testing validity and reliability of two data gathering procedures in c...
The assumption of only main effects in Conjoint Analysis methods has created a debate whether to foc...
Ceressec, n° DR 92037Unlike most studies reported in the marketing literature about conjoint analysi...
International audienceMarketing research studies using conjoint analysis typically involve many attr...
Conjoint Analysis (CA) is a popular statistical method for determining how customers prefer and val...
Beginning with data collection, Robust Conjoint Analysis demonstrates quite a few comparative advant...
This study aims to draw conjoint researchers ’ attentions to the existence of systematic errors embe...
In market researche we often need statistical methods able to jointly deal with numerical and textua...
With 30 years of development and innovation, conjoint analysis has grown to become the foremost tech...
SIGLELD:D50590/84 / BLDSC - British Library Document Supply CentreGBUnited Kingdo
International audienceThis simulation study investigates how conjoint analysis recovers various type...
Based on experimental designs, conjoint analysis is a statistical methodwidely used in data analysis...
AbstractBackgroundThe application of conjoint analysis (including discrete-choice experiments and ot...