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Chapter Eight Measurement and Scaling: Fundamentals and Comparative Scaling

Marketing Research 08

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8/8/2019 Marketing Research 08

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Chapter Eight 

Measurement and Scaling:Fundamentals and Comparative

Scaling

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8-2

Chapter Outline

1) Overview

2) Measurement and Scaling

3) Primary Scales of Measurement 

i. Nominal Scale

ii. Ordinal Scale

iii. Interval Scale

iv. Ratio Scale4) A Comparison of Scaling Techniques

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Chapter Outline

5) Comparative Scaling Techniques

i. Paired Comparison

ii. Rank Order Scaling

iii. Constant Sum Scaling

iv. Q-Sort and Other Procedures

6) Verbal Protocols

7) International Marketing Research8) Ethics in Marketing Research

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Chapter Outline

9) Internet and Computer Applications

10) Focus on Burke

11) Summary

12) Key Terms and Concepts

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8-5

Measurement and Scaling

Measurement means assigning numbers or othersymbols to characteristics of objects according tocertain prespecified rules.

One-to-one correspondence between the numbers

and the characteristics being measured. (samedollar figures are assigned to household withidentical annual incomes.)

The rules for assigning numbers should bestandardized and applied uniformly.

Rules must not change over objects or time.

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8-6

Measurement and Scaling

Scaling involves creating a continuum upon whichmeasured objects are located.

Consider an attitude scale from 1 to 100. Each

respondent is assigned a number from 1 to 100, with1 = Extremely Unfavorable, and 100 = ExtremelyFavorable. Measurement is the actual assignment of a number from 1 to 100 to each respondent. Scalingis the process of placing the respondents on a

continuum with respect to their attitude towarddepartment stores.

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7 38

Primary Scales of Measurement 

ScaleNominal Numbers

 Assignedto Runners

Ordinal Rank Orderof Winners

Interval PerformanceRating on a0 to 10 Scale

Ratio Time to

Finish, inSeconds

Figure 8.1

Thirdplace

Secondplace

Firstplace

Finish

Finish

8.2 9.1 9.6

15.2 14.1 13.4

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8-8Primary Scal es of Measur em ent Nominal Scal e

The num bers  s er ve only  as  la bels or  t a gs  for  i dentifyin g an d classifyin g objects .

When  us ed for  i dentification , t her e is  a  strict  on e-to-on e corr es pon denc e bet ween  t he num bers  an d t he

o bjects . The num bers do  not  r efl ect  t he amount  of   t he

c haract eristic poss ess ed by  t he o bjects .

The only permissi bl e o peration  on  t he num bers  in  a  nominal  scal e is  countin g.

Only  a  limit ed num ber  of   statistics , all  of  whic h ar ebas ed on  fr equ ency  counts , ar e permissi bl e, e.g.,perc enta ges , an d mo de.

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8-9

Illustration of Primary Scales of Measurement 

Table 8.2

Nominal Ordinal Ratio

Scale Scale ScalePreference $ spent last

No. Store Rankings 3 months

1. Lord & Taylor 

2. Macy¶s

3. Kmart

4. Rich¶s

5. J.C. Penney

6. Neiman Marcus7. Target

8. Saks Fifth Avenue

9. Sears

10.Wal-Mart

IntervalScale

PreferenceRatings

1-7 11-177 79 5 15 0

2 25 7 17 200

8 82 4 14 0

3 30 6 16 100

1 10 7 17 250

5 53 5 15 35

9 95 4 14 0

6 61 5 15 100

4 45 6 16 0

10 115 2 12 10

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8-10Primary Scal es  of  Measur em ent Or dinal Scal e

 A ran kin g scal e in whic h num bers  ar e assi gn ed to  o bjects  to  in dicat e t he r elati ve ext ent  to whic h t heo bjects poss ess  som e c haract eristic .

Can det ermin e whet her  an  o bject has  mor e or  l ess  of   a  c haract eristic  t han  som e ot her  o bject , but  not ho wmuc h mor e or  l ess .

 Any  s eri es  of   num bers  can be assi gn ed t hat pr es er ves  t he or der ed r elations hi ps bet ween  t he o bjects .

In Mar ketin g Res earc h, Or dinal  scal es  ar e us e to  m easur e r elati ve attitu des , o pinions , perc eptions  an dpr ef  er enc es .

In  a ddition  to  t he countin g o peration  allo wa bl e for  nominal  scal e data , or dinal  scal es permit  t he us e of   statistics bas ed on  c entil es , e.g., perc entil e, quartil e,m edian , ran k-or der  corr elation etc .

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8-11Primary Scal es  of  Measur em ent Int er val Scal e

Num erically equal distanc es  on  t he scal e r epr es ent  equal valu es  in  t he c haract eristic bein g m easur ed.

It permits  com parison  of   t he diff  er enc es bet ween  o bjects . (ratin gs  ar e gi ven )

The location  of   t he zero point  is  not  fi xed. Bot h t he

zero point  an d t he units  of   m easur em ent  ar ear bitrary .

 Any positi ve lin ear  transformation  of   t he form  y = a  + bx will pr es er ve t he pro perti es  of   t he scal e.

It  is  not  m eanin gful  to  ta ke ratios  of   scal e valu es . Statistical  t ec hni qu es  t hat  may be us ed inclu de all  of   

t hos e t hat  can be a ppli ed to  nominal  an d or dinal  data , an d in  a ddition  t he arit hm etic  m ean , stan dar ddeviation , an d ot her  statistics  commonly  us ed in  

mar ketin g r es earc h.

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8-12Primary Scal es  of  Measur em ent Ratio Scal e

Poss ess es  all  t he pro perti es  of   t he nominal , or dinal ,an d int er val  scal es .

It has  an  a bsolut e zero point .

It  is  m eanin gful  to  com put e ratios  of   scal e valu es .

Only pro portionat e transformations  of   t he form  y =bx, wher e b is  a positi ve constant , ar e allo wed.

 All  statistical  t ec hni qu es  can be a ppli ed to  ratio data .

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Primary Scales of Measurement Table 8.1

Scal Basic 

C aracter istics

C

Examples

Marketi

Examples

Nomi al Numbers dent fy

& ssify bjects

Social Security

nos., numbering 

of f ootball  layers

Brand nos., store 

ty es

Percentages,

mode

Chi-square,

binomial test

Ordi al Nos. indicate the relative  ositions 

of objects but not

the magnitude of 

diff erences 

between them 

Quality rankings,rankings of teams 

in a tournament

Pref erence rankings, market

osition, social 

class

Percentile,median

Rank-or der  correlation,

Friedman 

 ANOV A

atio Zero  oint is f ixed,

ratios of scale 

values can be 

compared

Length, weight Age, sales,

income, costs

Geometric 

mean, harmonic 

mean

Coeff icient of 

variation

  erm issible Statistics 

Descriptive Inf erential

I terval Diff erences 

between objects 

Temperature 

(Fahrenheit)

 Attitudes,

opinions, index 

Range, mean,

standar d

Product-

moment

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 A Classification of Scaling Techniques

Likert SemanticDifferential Stapel

Figure 8.2

Scaling Techniques

NoncomparativeScales

ComparativeScales

PairedComparison

RankOrder

Constant Sum

Q-Sort andOtherProcedures

Continuous

Rating Scales

Itemized

Rating Scales

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 A Comparison of Scaling Techniques

Comparative scales involve the direct comparisonof stimulus objects. Comparative scale data must beinterpreted in relative terms and have only ordinal orrank order properties.

In noncomparative scales, each object is scaledindependently of the others in the stimulus set. Theresulting data are generally assumed to be interval orratio scaled.

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Relative Advantages of Comparative Scales

Small differences between stimulus objects can bedetected.

Same known reference points for all respondents.

Easily understood and can be applied.

Involve fewer theoretical assumptions. Tend to reduce halo or carryover effects from one

 judgment to another.

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Relative Disadvantages of Comparative Scales

Ordinal nature of the data Inability to generalize beyond the stimulus objects

scaled.

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8-18Comparativ e Scaling Techniqu es Pair ed Comparison Scaling 

 A r espon dent  is  pr es ent ed with  t wo  o bjects  an das ked to  s el ect  on e accor ding  to  som e crit erion . (eg .Co ke an d Pepsi )

Th e data  o btain ed ar e or dinal  in  natur e.

Pair ed comparison  scaling  is  th e most wi del y us edcomparativ e scaling  t echniqu e.

With  n bran ds , [n (n  - 1) /2] pair ed comparisons  ar er equir ed

Un der  th e assumption  o f transitivit y, it  is  possi bl e to  conv ert  pair ed comparison data  to  a  ran k or der .

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Paired Comparison Selling

The most common method of taste testing is paired comparison. Theconsumer is asked to sample two different products and select the onewith the most appealing taste. The test is done in private and aminimum of 1,000 responses is considered an adequate sample. A blindtaste test for a soft drink, where imagery, self -perception and brandreputation are very important factors in the consumers purchasingdecision, may not be a good indicator of performance in themarketplace. The introduction of New Coke illustrates this point. NewCoke was heavily favored in blind paired comparison taste tests, but itsintroduction was less than successful, because image plays a major rolein the purchase of Coke.

 A paired comparisontaste test 

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8-21Comparativ e Scaling Techniqu es Ran k Or der Scaling 

Respon dents  ar e pr es ent ed with  s ev eral  o bjects  simultan eousl y an d as ked to  or der  or  ran k th em  accor ding  to  som e crit erion .

It  is  possi bl e that  th e r espon dent  ma y disli ke th ebran d ran ked 1 in  an  a bsolut e s ens e.

Furth ermor e, ran k or der  scaling  also  r esults  in  or dinal  data .

Onl y (n  - 1) scaling decisions  n eed be ma de in  ran kor der  scaling .

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8-22Preference for Toothpaste BrandsUsing Rank Order Scaling

Figure 8.4

Instructions: Rank the various brands of toothpaste in orderof preference. Begin by picking out the one brand that youlike most and assign it a number 1. Then find the second most preferred brand and assign it a number 2. Continue this

procedure until you have ranked all the brands of toothpastein order of preference. The least preferred brand should beassigned a rank of 10.

No two brands should receive the same rank number.

The criterion of preference is entirely up to you. There is noright or wrong answer. Just try to be consistent.

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Brand Rank Order

1.  Crest _________

2. Co

lgate _________3. Aim _________

4. Gleem _________

5. Macleans _________

6. Ultra Brite _________

7.  Close Up _________

8. Pepsodent _________

9. Plus White _________

10.  Stripe _________

Preference for Toothpaste BrandsUsing Rank Order Scaling

Figure 8.4 cont.

Form

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8-24Comparativ e Scaling Techniqu es Constant Sum Scaling 

Respon dents  allocat e a  constant  sum  o f units , such  as 100 points  to  attri but es  o f a  pro duct  to  r ef l ect  th eir  importanc e.

If an  attri but e is  unimportant , th e r espon dent  assigns  it zero  points .

If an  attri but e is  t wic e as  important  as  som e oth er  attri but e, it  r ec eiv es  t wic e as  man y points .

Th e sum  o f all  th e points  is 100. enc e, th e nam e o f th e scal e.

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8-25Importance of Bathing Soap AttributesUsing a Constant Sum Scale

Figure 8.5

Instructions

On the next slide, there are eight attributes of  

bathing soaps. Please allocate 100 points amongthe attributes so that your allocation reflects therelative importance you attach to each attribute.The more points an attribute receives, the moreimportant the attribute is. If an attribute is not at 

all important, assign it zero points. If an attribute istwice as important as some other attribute, it  should receive twice as many points.

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Figure 8.5 cont.

Form Average Responses of Three Segments

  Attribute Segment I Segment II Segment III1. Mildness

2. Lather3. Shrinkage4. Price5. Fragrance

6. Packaging7. Moisturizing8. Cleaning Power

Sum

8  2 42 4 173 7

53 171

7 55 3 20 

13 60 15100 100 100 

Importance of Bathing Soap AttributesUsing a Constant Sum Scale