Improving the Validity of Conjoint Analysis by Additional Data Collection and Analysis Steps

Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Depending on the concrete application field and the data collection situation, conjoint experiments can end up with a low internal validity of the estimated part-worth functions. One of the known reasons for this is the (missing) temporal stability and structural reliability of the respondents’ part-worth functions, another reason is the (missing) attentiveness of the respondents in an uncontrolled data collection environment, e.g. during an online interview with many parallel web applications (e.g. electronic mail, newspapers or web site browsing). Here, additional data collection and analysis has been proposed as a solution. Examples of internal sources of data are response latencies, eye movements, or mouse movements, examples of external sources are sales and market data. The authors suggest alternative procedures for conjoint data collection that deal with these potential sources of internal validity. A comparison in an adaptive conjoint analysis setting shows, that the new procedures lead to a higher internal validity.

Keywords

Conjoint Analysis Data Collection Phase Additional Data Collection High Internal Validity Adaptive Conjoint Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Chair of Marketing and Innovation Management, Institute of Business Administration and EconomicsBrandenburg University of Technology CottbusCottbusGermany

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