Multivariate Consumer Analysis

Multivariate Consumer Analysis is a statistical methodology within consumer research that simultaneously examines multiple consumer attributes, preferences, or behaviors to identify underlying patterns, relationships, and structures distinct from univariate or bivariate approaches.

15

Publications

1.4K

Citations

29

Authors

19

Institutions

Publications per year

2017–2026

2

Authors

29

  1. CM
    Charles M. Schaninger

    University at Albany, State University of New York, United States

    2 publications · 33 citations

    2

    h-index

  2. JW
    Joseph W. Newman

    University of Arizona, United States

    2 publications · 621 citations

    2

    h-index

  3. RA
    Richard A. Werbel

    University of Arizona, United States

    2 publications · 621 citations

    2

    h-index

  4. DB
    Don B. Panton

    The University of Texas at Arlington, United States

    2 publications · 33 citations

    2

    h-index

  5. VP
    V. Parker Lessig

    University of Kansas, United States

    2 publications · 33 citations

    2

    h-index

1–5 of 29

Venues

  1. Journal of Marketing Research

    4 publications · 654 citations

    4

    h-index

  2. Journal of Sensory Studies

    2 publications · 33 citations

    2

    h-index

  3. Journal of Consumer Research

    JCR · 1 publications · 81 citations

    1

    h-index

  4. British Food Journal

    1 publications · 59 citations

    1

    h-index

  5. International Journal of Sports Marketing and Sponsorship

    IJSMS · 1 publications · 31 citations

    1

    h-index

1–5