This paper studies conjoint measurement models tolerating intransitivities that closely resemble Tversky’s additive difference model while replacing additivity and subtractivity by mere decomposability requirements. We offer a complete axiomatic characterization of these models without having recourse to unnecessary structural assumptions on the set of objects. This shows the pure consequences ...

Abstract Conjoint analysis is widely used for estimating the effects of a large number treatments on multidimensional decision-making. However, it this substantive advantage that leads to statistically undesirable property, multiple hypothesis testing. Existing applications conjoint except few do not correct hypotheses be tested, and empirical guidance choice testing correction methods has been...

Conjoint analysis (CA) has emerged as an important approach to the assessment of health service preferences. This article examines Adaptive Choice-Based Conjoint Analysis (ACBC) and reviews available evidence comparing ACBC with conventional approaches to CA. ACBC surveys more closely approximate the decision-making processes that influence real-world choices. Informants begin ACBC surveys by c...

1. Predicting the profitability and/or market share for proposed new product concepts given the current offering of competitors. 2. Predicting the impact of new competitor products on profits or market share if we make no change in our competitive position. 3. Predicting customer switch rates either from our current products to new products we offer (cannibalism), or from our competitors’ produ...

Of twenty-three agricultural economics conjoint analyses conducted between 1990 and 2001, seventeen used interval-rating scales, with estimation procedures varying widely. This study tests cardinality assumptions in conjoint analysis when interval-rating scales are used, and tests whether the ordered probit or two-limit tobit model is the most valid. Results indicate that cardinality assumption...

In the last decades the use of regression-like preference models has found widespread application in marketing research. The Conjoint Analysis models have even more been used to analyze consumer preferences and simulate product positioning. The typical data structure of this kind of models can be enriched by the presence of supplementary information observed on respondents. We suppose that rela...

ATTRIBUTE IMPORTANCE WEIGHTS IN CONJOINT ANALYSIS: BIAS AND PRECISION Sanjay Mishra, Washington State University U. N. Umesh, Washington State University Donald E. Stem, Jr., Washington State University ABSTRACT Consumer researchers have used conjoint analysis to evaluate the importance of an attribute in forming preferences. Although past researchers have tested the validity and reliability of...