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Toolbox Presentation #4:
Multidimensional Scaling
and OS Perceptual Maps
              Diana Laboy-Rush
                    Laboy-
               October 25 2006
                       25,
                     EMGT 510
Agenda
 g

 Why use Multidimensional Scaling (MDS)
  and Overall Similarity (OS) Perceptual Maps
 What is MDS?
 Background and History
 Tips for Implementation
 Things to Consider
 Example Application
Challenges with AR Perceptual
Maps
Maps
   Users have difficulty scoring attributes, even
    when they are aware of them
   Purchase d i i
    P h        decisions are sometimes made using
                                    ti         d     i
    implicit attributes, that are not easily identified
   Absence of phantom attributes as map
    dimensions distort analysis
   AR views products as bundles of attributes,
                                         attributes
    which need to be complete in order to be
    effective
What is Multidimensional Scaling?
                               g

   Goal – to determine GAPs in the market based on
    consumer / purchaser’s perception.
   Data
    D t analysis methodology f mapping
              l i     th d l    for     i
    similarities and dissimilarities among items
   Used in Market Research to map consumer
    perceptions of products to draw out attributes
    not otherwise easily communicated
   Analysis often graphically represented in order
    to identify gaps in the market
Background and History
        g                y
   1938 - Pioneered by Young & Householder
                         y      g
   1958 – Psychometrician Torgerson revived with the
    earliest application in market research
      C
       Consumer perceptions of silverware patterns
                           ti    f il          tt
   1969 – Stefflre was the first to use systematically, focused
    on visual representation of consumer’s perceptions of
                                 consumer s
    brand similarities –developed “Tinkertoys”
   1975 – Green discussed the issues surrounding new
    product development
   1983 – present : Numerous developments in methodology
    and applications in market research
Recent Developments in MDS
             p

 3-way unfolding models
 Stochastic MDS models
 Non-symmetric matrix models
 MDS / Clustering combinations (hybrid
  models
Steps for Implementation
   p        p
                           What brands and how many?  y
Formulate the Problem       8<x<20 ideal
                           What is the purpose of the
                            analysis?
                               l i ?
  Obtain Input Data        Perception data : direct
                            approach
     Run MDS                     Q = N (N - 1) / 2
 Statistical Program        Where # of questions depends on #
                             of brands
                           Metric (interval) or Nonmetric
 Map the results and        (ordinal) MDS programs
  define dimensions        2 D Map, often subjective
Example Application –
OS Perceptual Map of Search Engines

 Overall Si il it P
  O     ll Similarity Perceptual M of Search
                            t l Map f S    h
  Engines using Multidimensional Scaling
  technique
 14 Subjects
5B Brands/Products
         d /P d t
       Yahoo, Google, Copernic, AOL, MSN.com
   2 Di
      Dimensions
            i
       Usability and Overall Value
   5 point Ordinal Measurement Scale
Tools used

   Data Gathering
       Online Survey Tool : QuestionPro
        www.questionpro.com


   Data Analysis and Visual Representation
       Excel Statistics Plugin : XLStat
                            g
        www.xlstat.com
MDS Proximity Map
            y   p
                   Configuration (Kruskal's stress (1) = 3.952E-5)


                                                  1

                                               0.8
                         Go o gle
                                               0.6

                                                              Co pernicus
                                               0.4

                                               0.2
                                               02
     Dim2




                                                 0
            -1.2   -1   -0.8   -0.6   -0.4   -0.2    0 M SN.co m
                                                         0.2   0.4   0.6    0.8   1   1.2
                                                -0.2

                                               -0.4
                                      Yaho o
                                               -0.6          A OL

                                               -0.8

                                                 Dim 1
OS Perceptual Map
        p       p

        Go o gle

                            Gap 1
                              p
                                       Co pernicus




      Usability
                                M SN.co m

                                             Value

                   Yaho o


                                      A OL
Things to consider [3]
“Comparison of MDS Methods for Perceptual Mapping”,

7f t
  factors varied over 4 diff
             i d        different MDS algorithms
                                t      l ith
 Large samples are best –
       Analysis of <10 subjects should be interpreted cautiously
   The same holds true for # of brands, to lesser extent
       Greater than 6, less than 12 ideal
   Dissimilarity judgements should be collected on
    interval scales or on ordinal scales with large
    number of scale values
   Most frequent criticism of MDS is that assumptions
    must be made on the error components
                                 components.
References
1)   Crawford,
     Crawford Merle; DiBenedetto Anthony: New
                       DiBenedetto,
     Products Management, eight edition
2)
 )   Carroll, J. Douglas; Green, Paul R.,
             ,       g ;        ,         ,
     “Psychometric Methods in Marketing Research:
     Part II, Multidimensional Scaling”, Journal of
     Marketing Research, (May 1997), pp. 193-204
                                            193 204
3)   Bijmolt, Tammo H.A.; Wedel, Michel: “A
     Comparison of Multidimensional Scaling
     Methods for Perceptual Mapping”, Journal of
                              Mapping
     Marketing Research, (May 1999), pp. 277-283
4)   “How do I run a Multidimensional Scaling (
                                              g (MDS)
                                                    )
     with XLSTAT?”, http://www.xlstat.com/tutorials
Q
Questions??

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Multidimensionalscaling 090920230900-phpapp02

  • 1. Toolbox Presentation #4: Multidimensional Scaling and OS Perceptual Maps Diana Laboy-Rush Laboy- October 25 2006 25, EMGT 510
  • 2. Agenda g  Why use Multidimensional Scaling (MDS) and Overall Similarity (OS) Perceptual Maps  What is MDS?  Background and History  Tips for Implementation  Things to Consider  Example Application
  • 3. Challenges with AR Perceptual Maps Maps  Users have difficulty scoring attributes, even when they are aware of them  Purchase d i i P h decisions are sometimes made using ti d i implicit attributes, that are not easily identified  Absence of phantom attributes as map dimensions distort analysis  AR views products as bundles of attributes, attributes which need to be complete in order to be effective
  • 4. What is Multidimensional Scaling? g  Goal – to determine GAPs in the market based on consumer / purchaser’s perception.  Data D t analysis methodology f mapping l i th d l for i similarities and dissimilarities among items  Used in Market Research to map consumer perceptions of products to draw out attributes not otherwise easily communicated  Analysis often graphically represented in order to identify gaps in the market
  • 5. Background and History g y  1938 - Pioneered by Young & Householder y g  1958 – Psychometrician Torgerson revived with the earliest application in market research  C Consumer perceptions of silverware patterns ti f il tt  1969 – Stefflre was the first to use systematically, focused on visual representation of consumer’s perceptions of consumer s brand similarities –developed “Tinkertoys”  1975 – Green discussed the issues surrounding new product development  1983 – present : Numerous developments in methodology and applications in market research
  • 6. Recent Developments in MDS p  3-way unfolding models  Stochastic MDS models  Non-symmetric matrix models  MDS / Clustering combinations (hybrid models
  • 7. Steps for Implementation p p  What brands and how many? y Formulate the Problem 8<x<20 ideal  What is the purpose of the analysis? l i ? Obtain Input Data  Perception data : direct approach Run MDS Q = N (N - 1) / 2 Statistical Program Where # of questions depends on # of brands  Metric (interval) or Nonmetric Map the results and (ordinal) MDS programs define dimensions  2 D Map, often subjective
  • 8. Example Application – OS Perceptual Map of Search Engines  Overall Si il it P O ll Similarity Perceptual M of Search t l Map f S h Engines using Multidimensional Scaling technique  14 Subjects 5B Brands/Products d /P d t  Yahoo, Google, Copernic, AOL, MSN.com  2 Di Dimensions i  Usability and Overall Value  5 point Ordinal Measurement Scale
  • 9. Tools used  Data Gathering  Online Survey Tool : QuestionPro www.questionpro.com  Data Analysis and Visual Representation  Excel Statistics Plugin : XLStat g www.xlstat.com
  • 10. MDS Proximity Map y p Configuration (Kruskal's stress (1) = 3.952E-5) 1 0.8 Go o gle 0.6 Co pernicus 0.4 0.2 02 Dim2 0 -1.2 -1 -0.8 -0.6 -0.4 -0.2 0 M SN.co m 0.2 0.4 0.6 0.8 1 1.2 -0.2 -0.4 Yaho o -0.6 A OL -0.8 Dim 1
  • 11. OS Perceptual Map p p Go o gle Gap 1 p Co pernicus Usability M SN.co m Value Yaho o A OL
  • 12. Things to consider [3] “Comparison of MDS Methods for Perceptual Mapping”, 7f t factors varied over 4 diff i d different MDS algorithms t l ith  Large samples are best –  Analysis of <10 subjects should be interpreted cautiously  The same holds true for # of brands, to lesser extent  Greater than 6, less than 12 ideal  Dissimilarity judgements should be collected on interval scales or on ordinal scales with large number of scale values  Most frequent criticism of MDS is that assumptions must be made on the error components components.
  • 13. References 1) Crawford, Crawford Merle; DiBenedetto Anthony: New DiBenedetto, Products Management, eight edition 2) ) Carroll, J. Douglas; Green, Paul R., , g ; , , “Psychometric Methods in Marketing Research: Part II, Multidimensional Scaling”, Journal of Marketing Research, (May 1997), pp. 193-204 193 204 3) Bijmolt, Tammo H.A.; Wedel, Michel: “A Comparison of Multidimensional Scaling Methods for Perceptual Mapping”, Journal of Mapping Marketing Research, (May 1999), pp. 277-283 4) “How do I run a Multidimensional Scaling ( g (MDS) ) with XLSTAT?”, http://www.xlstat.com/tutorials