Measurement and scaling fundamentals and comparative scaling
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This chapter discusses different methods of measurement and scaling used in marketing research. It describes four primary scales of measurement - nominal, ordinal, interval, and ratio scales - and explains their characteristics. Comparative scaling techniques like paired comparisons, rank ordering, and constant sum scaling are presented, which involve direct comparisons between objects. Noncomparative scales that measure objects independently are also covered. The chapter provides examples to illustrate different scaling methods and their applications in marketing research.
![8-18
Comparative Scaling Techniques
Paired Comparison Scaling
A respondent is presented with two objects and
asked to select one according to some criterion.
The data obtained are ordinal in nature.
Paired comparison scaling is the most widely used
comparative scaling technique.
With n brands, [n(n - 1) /2] paired comparisons are
required
Under the assumption of transitivity, it is possible to
convert paired comparison data to a rank order.](https://image.slidesharecdn.com/measurementandscaling-fundamentalsandcomparativescaling-150521060625-lva1-app6891/85/Measurement-and-scaling-fundamentals-and-comparative-scaling-18-320.jpg)
Measurement and scaling fundamentals and comparative scaling
- 1. Chapter Eight Measurement and Scaling: Fundamentals and Comparative Scaling
- 2. 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 Scale 4) A Comparison of Scaling Techniques
- 3. 8-3 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 Research 8) Ethics in Marketing Research
- 4. 8-4 Chapter Outline 9) Internet and Computer Applications 10) Focus on Burke 11) Summary 12) Key Terms and Concepts
- 5. 8-5 Measurement and Scaling Measurement means assigning numbers or other symbols to characteristics of objects according to certain prespecified rules. One-to-one correspondence between the numbers and the characteristics being measured. The rules for assigning numbers should be standardized and applied uniformly. Rules must not change over objects or time.
- 6. 8-6 Measurement and Scaling Scaling involves creating a continuum upon which measured objects are located. Consider an attitude scale from 1 to 100. Each respondent is assigned a number from 1 to 100, with 1 = Extremely Unfavorable, and 100 = Extremely Favorable. Measurement is the actual assignment of a number from 1 to 100 to each respondent. Scaling is the process of placing the respondents on a continuum with respect to their attitude toward department stores.
- 7. 8-7 7 38 Primary Scales of Measurement Scale Nominal Numbers Assigned to Runners Ordinal Rank Order of Winners Interval Performance Rating on a 0 to 10 Scale Ratio Time to Finish, in Figure 8.1 Third place Second place First place Finish Finish 8.2 9.1 9.6 15.2 14.1 13.4
- 8. 8-8 Primary Scales of Measurement Nominal Scale The numbers serve only as labels or tags for identifying and classifying objects. When used for identification, there is a strict one-to- one correspondence between the numbers and the objects. The numbers do not reflect the amount of the characteristic possessed by the objects. The only permissible operation on the numbers in a nominal scale is counting. Only a limited number of statistics, all of which are based on frequency counts, are permissible, e.g., percentages, and mode.
- 9. 8-9 Illustration of Primary Scales of Measurement Table 8.2 Nominal Ordinal Ratio Scale Scale Scale Preference $ spent last No. Store Rankings 3 months 1. Lord & Taylor 2. Macy’s 3. Kmart 4. Rich’s 5. J.C. Penney 6. Neiman Marcus 7. Target 8. Saks Fifth Avenue 9. Sears 10.Wal-Mart Interval Scale Preference Ratings 1-7 11-17 7 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
- 10. 8-10 Primary Scales of Measurement Ordinal Scale A ranking scale in which numbers are assigned to objects to indicate the relative extent to which the objects possess some characteristic. Can determine whether an object has more or less of a characteristic than some other object, but not how much more or less. Any series of numbers can be assigned that preserves the ordered relationships between the objects. In addition to the counting operation allowable for nominal scale data, ordinal scales permit the use of statistics based on centiles, e.g., percentile, quartile, median.
- 11. 8-11 Primary Scales of Measurement Interval Scale Numerically equal distances on the scale represent equal values in the characteristic being measured. It permits comparison of the differences between objects. The location of the zero point is not fixed. Both the zero point and the units of measurement are arbitrary. Any positive linear transformation of the form y = a + bx will preserve the properties of the scale. It is meaningful to take ratios of scale values. Statistical techniques that may be used include all of those that can be applied to nominal and ordinal data, and in addition the arithmetic mean, standard deviation, and other statistics commonly used in marketing research.
- 12. 8-12 Primary Scales of Measurement Ratio Scale Possesses all the properties of the nominal, ordinal, and interval scales. It has an absolute zero point. It is meaningful to compute ratios of scale values. Only proportionate transformations of the form y = bx, where b is a positive constant, are allowed. All statistical techniques can be applied to ratio data.
- 13. 8-13 Primary Scales of Measurement Table 8.1 Scale Basic Characteristics Common Examples Marketing Examples Nominal Numbers identify & classify objects Social Security nos., numbering of football players Brand nos., store types Percentages, mode Chi-square, binomial test Ordinal Nos. indicate the relative positions of objects but not the magnitude of differences between them Quality rankings, rankings of teams in a tournament Preference rankings, market position, social class Percentile, median Rank-order correlation, Friedman ANOVA Ratio Zero point is fixed, ratios of scale values can be compared Length, weight Age, sales, income, costs Geometric mean, harmonic mean Coefficient of variation Permissible Statistics Descriptive Inferential Interval Differences between objects Temperature (Fahrenheit) Attitudes, opinions, index Range, mean, standard Product- moment
- 14. 8-14A Classification of Scaling Techniques Likert Semantic Differential Stapel Figure 8.2 Scaling Techniques Noncomparative Scales Comparative Scales Paired Comparison Rank Order Constant Sum Q-Sort and Other Procedures Continuous Rating Scales Itemized Rating Scales
- 15. 8-15 A Comparison of Scaling Techniques Comparative scales involve the direct comparison of stimulus objects. Comparative scale data must be interpreted in relative terms and have only ordinal or rank order properties. In noncomparative scales, each object is scaled independently of the others in the stimulus set. The resulting data are generally assumed to be interval or ratio scaled.
- 16. 8-16 Relative Advantages of Comparative Scales Small differences between stimulus objects can be detected. 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.
- 17. 8-17 Relative Disadvantages of Comparative Scales Ordinal nature of the data Inability to generalize beyond the stimulus objects scaled.
- 18. 8-18 Comparative Scaling Techniques Paired Comparison Scaling A respondent is presented with two objects and asked to select one according to some criterion. The data obtained are ordinal in nature. Paired comparison scaling is the most widely used comparative scaling technique. With n brands, [n(n - 1) /2] paired comparisons are required Under the assumption of transitivity, it is possible to convert paired comparison data to a rank order.
- 19. 8-19 Obtaining Shampoo Preferences Using Paired Comparisons Figure 8.3 Instructions: We are going to present you with ten pairs of shampoo brands. For each pair, please indicate which one of the two brands of shampoo you would prefer for personal use. Recording Form: Jhirmack Finesse Vidal Sassoon Head & Shoulders Pert Jhirmack 0 0 1 0 Finesse 1a 0 1 0 Vidal Sassoon 1 1 1 1 Head & Shoulders 0 0 0 0 Pert 1 1 0 1 Number of Times Preferredb 3 2 0 4 1 a A 1 in a particular box means that the brand in that column was preferred over the brand in the corresponding row. A 0 means that the row brand was preferred over the column brand. b The number of times a brand was preferred is obtained by summing the 1s in each column.
- 20. 8-20 Paired Comparison Selling The most common method of taste testing is paired comparison. The consumer is asked to sample two different products and select the one with the most appealing taste. The test is done in private and a minimum of 1,000 responses is considered an adequate sample. A blind taste test for a soft drink, where imagery, self-perception and brand reputation are very important factors in the consumer’s purchasing decision, may not be a good indicator of performance in the marketplace. The introduction of New Coke illustrates this point. New Coke was heavily favored in blind paired comparison taste tests, but its introduction was less than successful, because image plays a major role in the purchase of Coke. A paired comparison taste test
- 21. 8-21 Comparative Scaling Techniques Rank Order Scaling Respondents are presented with several objects simultaneously and asked to order or rank them according to some criterion. It is possible that the respondent may dislike the brand ranked 1 in an absolute sense. Furthermore, rank order scaling also results in ordinal data. Only (n - 1) scaling decisions need be made in rank order scaling.
- 22. 8-22 Preference for Toothpaste Brands Using Rank Order Scaling Figure 8.4 Instructions: Rank the various brands of toothpaste in order of preference. Begin by picking out the one brand that you like 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 toothpaste in order of preference. The least preferred brand should be assigned a rank of 10. No two brands should receive the same rank number. The criterion of preference is entirely up to you. There is no right or wrong answer. Just try to be consistent.
- 23. 8-23 Brand Rank Order 1. Crest _________ 2. Colgate _________ 3. Aim _________ 4. Gleem _________ 5. Macleans _________ 6. Ultra Brite _________ 7. Close Up _________ 8. Pepsodent _________ 9. Plus White _________ 10. Stripe _________ Preference for Toothpaste Brands Using Rank Order Scaling Figure 8.4 cont. Form
- 24. 8-24 Comparative Scaling Techniques Constant Sum Scaling Respondents allocate a constant sum of units, such as 100 points to attributes of a product to reflect their importance. If an attribute is unimportant, the respondent assigns it zero points. If an attribute is twice as important as some other attribute, it receives twice as many points. The sum of all the points is 100. Hence, the name of the scale.
- 25. 8-25 Importance of Bathing Soap Attributes Using a Constant Sum Scale Figure 8.5 Instructions On the next slide, there are eight attributes of bathing soaps. Please allocate 100 points among the attributes so that your allocation reflects the relative importance you attach to each attribute. The more points an attribute receives, the more important the attribute is. If an attribute is not at all important, assign it zero points. If an attribute is twice as important as some other attribute, it should receive twice as many points.
- 26. 8-26 Figure 8.5 cont. Form Average Responses of Three Segments Attribute Segment I Segment II Segment III 1. Mildness 2. Lather 3. Shrinkage 4. Price 5. Fragrance 6. Packaging 7. Moisturizing 8. Cleaning PowerSum 8 2 4 2 4 17 3 9 7 53 17 9 9 0 19 7 5 9 5 3 20 13 60 15 100 100 100 Importance of Bathing Soap Attributes Using a Constant Sum Scale