2007
DOI: 10.1002/mar.20184
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A Facet metatheoretical approach to advance consumer behavior knowledge

Abstract: This paper provides an overview of Facet Theory, a systematic approach to facilitate theory construction, research design, and data analysis for complex studies. Facet Theory is appropriate to marketing theories and particularly consumer behavior. In Facet Theory, the definition of the behavioral domain facilitates the rationale for hypothesizing structural relationships among variables employed in a research study. Examples are shown from various areas to illustrate the methods and results of structural analy… Show more

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Cited by 3 publications
(2 citation statements)
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References 44 publications
(30 reference statements)
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“…Methodological innovations such as Hornik, Cohen, and Amar's (2007) facet metatheoretical model, the dimensional qualitative research (DQR) approach (Cohen, 1999b;Shabbir, Palihawadana, & Thwaites, 2007), storytelling theory (Woodside, Sood, & Miller, 2008), and the use of psychophysiological techniques (Wang & Minor, 2008) remain a strong area of the journal's general contribution to advancing consumer behavior through the application of methodological innovations.…”
Section: Methodological Advancesmentioning
confidence: 99%
“…Methodological innovations such as Hornik, Cohen, and Amar's (2007) facet metatheoretical model, the dimensional qualitative research (DQR) approach (Cohen, 1999b;Shabbir, Palihawadana, & Thwaites, 2007), storytelling theory (Woodside, Sood, & Miller, 2008), and the use of psychophysiological techniques (Wang & Minor, 2008) remain a strong area of the journal's general contribution to advancing consumer behavior through the application of methodological innovations.…”
Section: Methodological Advancesmentioning
confidence: 99%
“…It assumes some underlying order to the variables selected and builds the geometric representation around this order; such that the cases that score highest appear in the top right hand corner of the plot and those cases which score lowest on the variables appear towards the bottom left corner of the plot. This procedure is fully described and illustrated [58,59] by academic computer software [60][61][62][63]. Several POSA models are in use for academic research (POSAC, HUDAP, and CoPlot).…”
Section: Partial Order Scaling Analysis (Posa): Implementationmentioning
confidence: 99%