Chapter Eight Measurement and Scaling Fundamentals and Comparative

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Chapter Eight Measurement and Scaling: Fundamentals and Comparative Scaling Copyright © 2010 Pearson Education,

Chapter Eight Measurement and Scaling: Fundamentals and Comparative Scaling Copyright © 2010 Pearson Education, Inc. 8 -1

Chapter Outline 1) Overview 2) Measurement and Scaling 3) Primary Scales of Measurement i.

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 Copyright © 2010 Pearson Education, Inc. 8 -2

Chapter Outline 5) Comparative Scaling Techniques i. Paired Comparison ii. Rank Order Scaling iii.

Chapter Outline 5) Comparative Scaling Techniques i. Paired Comparison ii. Rank Order Scaling iii. Constant Sum Scaling Copyright © 2010 Pearson Education, Inc. 8 -3

Chapter Outline-Non. Comparative Scaling Techniques 2) Noncomparative Scaling Techniques 3) Continuous Rating Scale 4)

Chapter Outline-Non. Comparative Scaling Techniques 2) Noncomparative Scaling Techniques 3) Continuous Rating Scale 4) Itemized Rating Scale i. Likert Scale ii. Semantic Differential Scale iii. Stapel Scale Copyright © 2010 Pearson Education, Inc. 8 -4

Chapter Outline 5) Noncomparative Itemized Rating Scale Decisions i. Number of Scale Categories ii.

Chapter Outline 5) Noncomparative Itemized Rating Scale Decisions i. Number of Scale Categories ii. Balanced Vs. Unbalanced Scales iii. Odd or Even Number of Categories iv. Forced Vs. Non-forced Scales v. Nature and Degree of Verbal Description vi. Physical Form or Configuration Copyright © 2010 Pearson Education, Inc. 8 -5

Measurement and Scaling Measurement means assigning numbers or other symbols to characteristics of objects

Measurement and Scaling Measurement means assigning numbers or other symbols to characteristics of objects according to certain pre-specified 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. Copyright © 2010 Pearson Education, Inc. 8 -6

Measurement and Scaling involves creating a continuum upon which measured objects are located. Consider

Measurement and 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 something. Copyright © 2010 Pearson Education, Inc. 8 -7

Four Basic Scale Levels Nominal Scales Ordinal Scales Interval Scales Ratio Scales Copyright ©

Four Basic Scale Levels Nominal Scales Ordinal Scales Interval Scales Ratio Scales Copyright © 2010 Pearson Education, Inc. 8 -8

Primary Scales of Measurement Nominal Scale • The numbers serve only as labels or

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-toone 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. Copyright © 2010 Pearson Education, Inc. 8 -9

Nominal Scales Nominal scales focus on only requiring a respondent to provide some type

Nominal Scales Nominal scales focus on only requiring a respondent to provide some type of descriptor as the raw response Example. Please indicate your current martial status. __Married __ Single, never married __ Widowed Copyright © 2010 Pearson Education, Inc. 8 -10

Primary Scales of Measurement Ordinal Scale • A ranking scale in which numbers are

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. , quartile, median. Copyright © 2010 Pearson Education, Inc. 8 -11

Ordinal Scales Ordinal scales allow the respondent to express “relative magnitude” between the raw

Ordinal Scales Ordinal scales allow the respondent to express “relative magnitude” between the raw responses to a question Example. Which one statement best describes your opinion of Samsung smart phones? __ Higher quality than Iphones __ About the same quality as Iphones __ Lower quality than Iphones Copyright © 2010 Pearson Education, Inc. 8 -12

Primary Scales of Measurement Interval Scale • Numerically equal distances on the scale represent

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. • It is not 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. Copyright © 2010 Pearson Education, Inc. 8 -13

Interval Scales Interval scales demonstrate the absolute differences between each scale point Example. How

Interval Scales Interval scales demonstrate the absolute differences between each scale point Example. How likely are you to recommend our restaurant to a friend? 1= Definitely will not 1 2 Copyright © 2010 Pearson Education, Inc. 5= Definitely will 3 4 5 8 -14

Primary Scales of Measurement Ratio Scale • Possesses all the properties of the nominal,

Primary Scales of Measurement Ratio Scale • Possesses all the properties of the nominal, ordinal, and interval scales. • It is meaningful to compute ratios of scale values. • All statistical techniques can be applied to ratio data. Copyright © 2010 Pearson Education, Inc. 8 -15

Ratio Scales Ratio scales allow for the identification of absolute differences between each scale

Ratio Scales Ratio scales allow for the identification of absolute differences between each scale point, and absolute comparisons between raw responses Example 1. Please specify monthly total income of your household: ___ Copyright © 2010 Pearson Education, Inc. 8 -16

Primary Scales of Measurement Table 8. 1 Copyright © 2010 Pearson Education, Inc. 8

Primary Scales of Measurement Table 8. 1 Copyright © 2010 Pearson Education, Inc. 8 -17

A Classification of Scaling Techniques Figure 8. 2 Scaling Techniques Noncomparative Scales Comparative Scales

A Classification of Scaling Techniques Figure 8. 2 Scaling Techniques Noncomparative Scales Comparative Scales Paired Comparison Rank Order Constant Q-Sort and Sum Other Procedures Likert Copyright © 2010 Pearson Education, Inc. Continuous Itemized Rating Scales Semantic Differential Stapel 8 -18

A Comparison of Scaling Techniques • Comparative scales involve the direct comparison of stimulus

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. Copyright © 2010 Pearson Education, Inc. 8 -19

Comparative Scaling Techniques Paired Comparison Scaling • A respondent is presented with two objects

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. Copyright © 2010 Pearson Education, Inc. 8 -20

Obtaining Shampoo Preferences Using Paired Comparisons Fig. 8. 3 Instructions: We are going to

Obtaining Shampoo Preferences Using Paired Comparisons Fig. 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: 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 1 s in each column. Copyright © 2010 Pearson Education, Inc. 8 -21

Comparative Scaling Techniques Rank Order Scaling • Respondents are presented with several objects simultaneously

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. Copyright © 2010 Pearson Education, Inc. 8 -22

Preference for Toothpaste Brands Using Rank Order Scaling Fig. 8. 4 Instructions: Rank the

Preference for Toothpaste Brands Using Rank Order Scaling Fig. 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 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. Copyright © 2010 Pearson Education, Inc. 8 -23

Preference for Toothpaste Brands Using Rank Order Scaling Fig. 8. 4 cont. Form Brand

Preference for Toothpaste Brands Using Rank Order Scaling Fig. 8. 4 cont. Form Brand Rank Order 1. Crest _____ 2. Colgate _____ 3. Aim _____ 4. Gleem _____ 5. Sensodyne _____ 6. Ultra Brite _____ 7. Close Up _____ 8. Pepsodent _____ 9. Plus White _____ 10. Stripe _____ Copyright © 2010 Pearson Education, Inc. 8 -24

Comparative Scaling Techniques Constant Sum Scaling • Respondents allocate a constant sum of units,

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. Copyright © 2010 Pearson Education, Inc. 8 -25

Importance of Bathing Soap Attributes Using a Constant Sum Scale Fig. 8. 5 Instructions

Importance of Bathing Soap Attributes Using a Constant Sum Scale Fig. 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. Copyright © 2010 Pearson Education, Inc. 8 -26

Importance of Bathing Soap Attributes Using a Constant Sum Scale Fig. 8. 5 cont.

Importance of Bathing Soap Attributes Using a Constant Sum Scale Fig. 8. 5 cont. Form Average Responses of Three Segments Attribute 1. Mildness 2. Lather 3. Shrinkage 4. Price 5. Fragrance 6. Packaging 7. Moisturizing 8. Cleaning Power Sum Segment III 8 2 4 2 3 53 9 7 5 13 100 4 9 17 0 5 3 60 100 17 Copyright © 2010 Pearson Education, Inc. 7 9 19 9 20 15 100 8 -27

Copyright © 2010 Pearson Education, Inc. 8 -28

Copyright © 2010 Pearson Education, Inc. 8 -28

NONCOMPARATIVE SCALING TECHNIQUES • Respondents evaluate only one object at a time, • Non-comparative

NONCOMPARATIVE SCALING TECHNIQUES • Respondents evaluate only one object at a time, • Non-comparative techniques consist of continuous and itemized rating scales. Copyright © 2010 Pearson Education, Inc. 8 -29

Continuous Rating Scale Respondents rate the objects by placing a mark at the appropriate

Continuous Rating Scale Respondents rate the objects by placing a mark at the appropriate position on a line that runs from one extreme of the criterion variable to the other. The form of the continuous scale may vary considerably. How would you rate Sears as a department store? Version 1 Very Bad - - - -I - - - - - - Very Good Version 2 Very Bad - - - -I - - - - - -----------Very Good 0 10 20 30 40 50 60 70 80 90 100 Version 3 Very bad Bad Neither good Good Very good nor bad - - - -I - - - - - --------------------0 10 20 30 40 50 60 70 80 90 100 Copyright © 2010 Pearson Education, Inc. 8 -30

Itemized Rating Scales • The respondents are provided with a scale that has a

Itemized Rating Scales • The respondents are provided with a scale that has a number or brief description associated with each category. • The categories are ordered in terms of scale position, and the respondents are required to select the specified category that best describes the object being rated. • The commonly used itemized rating scales are the Likert, semantic differential, and Stapel scales. Copyright © 2010 Pearson Education, Inc. 8 -31

Likert Scale The Likert scale requires the respondents to indicate a degree of agreement

Likert Scale The Likert scale requires the respondents to indicate a degree of agreement or disagreement with each of a series of statements about the stimulus objects. 1. Sears sells high-quality merchandise. 2. Sears has poor in-store service. 3. I like to shop at Sears. Strongly disagree Disagree Neither Agree agree nor disagree Strongly agree 1 2 X 3 4 5 1 2 3 X 4 5 • The analysis can be conducted on an item-by-item basis (profile analysis), or a total (summated) score can be calculated. • When arriving at a total score, the categories assigned to the negative statements by the respondents should be scored by reversing the scale. Copyright © 2010 Pearson Education, Inc. 8 -32

Semantic Differential Scale The semantic differential is a seven-point rating scale with end points

Semantic Differential Scale The semantic differential is a seven-point rating scale with end points associated with bipolar labels that have semantic meaning. SEARS IS: Powerful --: --: -X-: --: Weak Unreliable --: --: --: -X-: --: Reliable Modern --: --: --: -X-: Old-fashioned • The negative adjective or phrase sometimes appears at the left side of the scale and sometimes at the right. • This controls the tendency of some respondents, particularly those with very positive or very negative attitudes, to mark the right- or left-hand sides without reading the labels. • Individual items on a semantic differential scale may be scored on either a -3 to +3 or a 1 to 7 scale. Copyright © 2010 Pearson Education, Inc. 8 -33

A Semantic Differential Scale for Measuring Self. Concepts, Person Concepts, and Product Concepts 1)

A Semantic Differential Scale for Measuring Self. Concepts, Person Concepts, and Product Concepts 1) Rugged 2) Excitable 3) Uncomfortable 4) Dominating 5) Thrifty : ---: ---: Delicate : ---: ---: Calm : ---: ---: Comfortable : ---: ---: Submissive : ---: ---: Indulgent 6) Pleasant : ---: ---: Unpleasant 7) Contemporary : ---: ---: Obsolete 8) Organized : ---: ---: Unorganized 9) Rational : ---: ---: Emotional 10) Youthful 11) Formal 12) Orthodox 13) Complex 14) Colorless 15) Modest : ---: ---: Mature : ---: ---: Informal : ---: ---: Liberal : ---: ---: Simple : ---: ---: Colorful : ---: ---: Vain Copyright © 2010 Pearson Education, Inc. 8 -34

Stapel Scale The Stapel scale is a unipolar rating scale with ten categories numbered

Stapel Scale The Stapel scale is a unipolar rating scale with ten categories numbered from -5 to +5, without a neutral point (zero). This scale is usually presented vertically. SEARS +5 +4 +3 +2 +1 HIGH QUALITY -1 -2 -3 -4 X -5 +5 +4 +3 +2 X +1 POOR SERVICE -1 -2 -3 -4 -5 The data obtained by using a Stapel scale can be analyzed in the same way as semantic differential data. Copyright © 2010 Pearson Education, Inc. 8 -35

Basic Noncomparative Scales Table 9. 1 Scale Basic Characteristics Examples Advantages Disadvantages Continuous Rating

Basic Noncomparative Scales Table 9. 1 Scale Basic Characteristics Examples Advantages Disadvantages Continuous Rating Scale Place a mark on a continuous line Reaction to TV commercials Easy to construct Scoring can be cumbersome unless computerized Itemized Rating Scales Likert Scale Degrees of agreement on a 1 (strongly disagree) to 5 (strongly agree) scale Measurement of attitudes Easy to construct, administer, and understand More time-consuming Semantic Differential Seven- point scale with bipolar labels Brand, product, and company images Versatile Controversy as to whether the data are interval Stapel Scale Unipolar ten - point scale, - 5 to +5, without a neutral point (zero) Measurement of attitudes and images Easy to construct, administer over telephone Confusing and difficult to apply Copyright © 2010 Pearson Education, Inc. 8 -36

Summary of Itemized Scale Decisions Table 9. 2 1) Number of categories Although there

Summary of Itemized Scale Decisions Table 9. 2 1) Number of categories Although there is no single, optimal number, traditional guidelines suggest that there should be between five and nine categories 2) Balanced vs. unbalanced In general, the scale should be balanced to obtain objective data 3) Odd/even no. of categories If a neutral or indifferent scale response is possible for at least some respondents, an odd number of categories should be used 4) Forced vs. non-forced In situations where the respondents are expected to have no opinion, the accuracy of the data may be improved by a non-forced scale 5) Verbal description An argument can be made for labeling all or many scale categories. The category descriptions should be located as close to the response categories as possible 6) Physical form Copyright © 2010 Pearson Education, Inc. A number of options should be tried and the best selected 8 -37

Balanced and Unbalanced Scales Fig. 9. 1 Jovan Musk for Men is: Extremely good

Balanced and Unbalanced Scales Fig. 9. 1 Jovan Musk for Men is: Extremely good Very good Good Bad Very bad Extremely bad Copyright © 2010 Pearson Education, Inc. Jovan Musk for Men is: Extremely good Very good Good Somewhat good Bad Very bad 8 -38

Rating Scale Configurations Fig. 9. 2 Cheer detergent is: 1) Very harsh --- 2)

Rating Scale Configurations Fig. 9. 2 Cheer detergent is: 1) Very harsh --- 2) Very harsh 1 --2 --- --- --- Very gentle 3 4 5 6 7 Very gentle 3). Very harsh. Cheer. . Neither harsh nor gentle. . . Very gentle 4) ____ Very Harsh Somewhat Neither harsh nor gentle 5) -3 -2 -1 Very harsh Copyright © 2010 Pearson Education, Inc. 0 Neither harsh nor gentle ____ Somewhat gentle +1 ____ Gentle ____ Very gentle +2 +3 Very gentle 8 -39

Some Unique Rating Scale Configurations Fig. 9. 3 Thermometer Scale Instructions: Please indicate how

Some Unique Rating Scale Configurations Fig. 9. 3 Thermometer Scale Instructions: Please indicate how much you like Mc. Donald’s hamburgers by coloring in thermometer. Start at the bottom and color up to the temperature level that best indicates how strong your preference is. Like very much Dislike very much 100 75 50 25 0 Smiling Face Scale Instructions: Please point to the face that shows how much you like the Barbie Doll. If you do not like the Barbie Doll at all, you would point to Face 1. If you liked it very much, you would point to Face 5. 1 Copyright © 2010 Pearson Education, Inc. 2 3 4 5 8 -40

Some Commonly Used Scales in Marketing Table 9. 3 CONSTRUCT SCALE DESCRIPTORS Attitude Very

Some Commonly Used Scales in Marketing Table 9. 3 CONSTRUCT SCALE DESCRIPTORS Attitude Very Bad Neither Bad Nor Good Very Good Importance Not at All Important Not Important Neutral Important Very Important Satisfaction Very Dissatisfied Neither Dissat. Nor Satisfied Very Satisfied Purchase Intent Definitely will Not Buy Probably Will Not Buy Might or Might Not Buy Probably Will Buy Definitely Will Buy Purchase Freq Never Rarely Often Very Often Copyright © 2010 Pearson Education, Inc. Sometimes 8 -41

Copyright © 2010 Pearson Education, Inc. 8 -42

Copyright © 2010 Pearson Education, Inc. 8 -42

All rights reserved. No part of this publication may be reproduced, stored in a

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher. Printed in the United States of America. Copyright © 2010 Pearson Education, Inc. 8 -43