Screening for interactions between design factors and demographics in choice-based conjoint

Goutam Chakraborty, George Woodworth, Gary J. Gaeth, Richard Ettenson

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

We propose an iterative stepwise forward selection procedure to screen a subset of important variables from a large pool of candidate variables in choice-based conjoint analysis. The method involves computing weighted correlations between candidate variables and residuals from the prior best fitting multinomial logit (MNL) model. Candidate variables that pass the screening step are then introduced and the MNL model is refitted using standard MNL software. A series of diagnostic tests is carried out before each iteration cycle. The procedure can be implemented easily using commonly available statistical software. We illustrate the application of the proposed method on a large data set.

Original languageEnglish (US)
Pages (from-to)115-133
Number of pages19
JournalJournal of Business Research
Volume24
Issue number2
DOIs
StatePublished - 1992
Externally publishedYes

Fingerprint

Demography
Software
Logistic Models
Routine Diagnostic Tests
Factors
Demographics
Interaction
Screening
Multinomial logit model

ASJC Scopus subject areas

  • Marketing
  • Applied Psychology

Cite this

Screening for interactions between design factors and demographics in choice-based conjoint. / Chakraborty, Goutam; Woodworth, George; Gaeth, Gary J.; Ettenson, Richard.

In: Journal of Business Research, Vol. 24, No. 2, 1992, p. 115-133.

Research output: Contribution to journalArticle

Chakraborty, Goutam ; Woodworth, George ; Gaeth, Gary J. ; Ettenson, Richard. / Screening for interactions between design factors and demographics in choice-based conjoint. In: Journal of Business Research. 1992 ; Vol. 24, No. 2. pp. 115-133.
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