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    MEASUREMENT AND

    SCALINGDERIVEDSCALES FOR

    MEASUREMENT(RESEARCH METHODOLOGY)

    REPORT ON MARKETING RESEARCH

    MFM (2013-2015)

    SUBMITTED TO:

    Prof. A Srinivasa

    Rao

    SUBMITTED BY:

    Akansha

    Gupta(03)

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    MEASUREMENT

    Measurement is a process of mapping aspect of a domain

    onto other aspects of a range according to some rule of

    correspondence. In measuring, we device some form of

    scale in the range and then transform or map theproperties of objects from the domain onto this scale.

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    SCALING

    Meaning of Scaling: Scaling describes the procedures ofassigning numbers to various degrees of opinion, attitudeand other concepts. This can be done is two ways, viz.,

    Making a judgment about some characteristic of anindividual and then placing him directly on a scale thathas been defined in terms of that characteristic, and

    Constructing questionnaires in such a way that the scoreof individuals responses assigns him a place on a scale.

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    SCALING TECHNIQUES

    COMPARATIVE

    SCALES

    PAIREDCOMPARISON

    RANKORDER

    CONSTANTSUM

    Q-SORT ANDOTHER

    PROCEDURES

    NON-COMPARATIVE

    SCALES

    CONTINUOUS

    RATING

    SCALES

    ITEMIZEDRATINGSCALES

    LIKERTSEMANTICDIFFERENT

    IAL

    STAPEL

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    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.

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    ADVANTAGES OF COMPARATIVE

    TECHNIQUE

    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.

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    COMPARATIVE SCALING

    TECHINIQUES

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    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.

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    INSTRUCTIONS (EXAMPLE1)

    As a simple example, an entrepreneur is looking at ways in which she canexpand her business. She has limited resources, but also has the options shelists below:

    Expand into overseas markets

    Expand in home markets

    Improve customer service

    Improve quality

    First she draws up the Paired Comparison Analysis table in Figure 1:

    EXAMPLE SHOWING SHARED PREFERENCES USING

    SHARED COMPARISONS

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    Then she compares options, writes down the letter of the most important option,and scores their difference in importance. An example of how she might do this isshown in figure 2:

    Finally she adds up the A, B, C and D values, and converts each into a percentage ofthe total. This gives these totals:

    A = 3 (37.5%)

    B = 1 (12.5%)

    C=4(50%)

    D=0.

    Here it is most important to improve customer service (C) and then to tackle exportmarkets (A). Quality is not a high priority perhaps it is good already.

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    The most common method of taste testing is paired comparison.

    The consumer is asked to sample two different products and selectthe one with the most appealing taste.

    The test is done in private and a minimum of 1,000 responses isconsidered an adequate sample.

    A blind taste test for a soft drink, where imagery, selfperception andbrand reputation are very important factors in the consumerspurchasing decision, may not be a good indicator of performance inthe 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 amajor role in the purchase of Coke.

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    RANK ORDER SCALING

    Respondents are presented with several objects

    simultaneously and asked to order or rank them

    according to some criterion.

    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.

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    EXAMPLE SHOWING SHARED PREFERENCES USING

    SHARED COMPARISONS

    INSTRUCTION(EXAMPLE2)

    Rank the various brands of toothpaste in order ofpreference.

    Begin by picking out the one brand that you likemost and assign it a number 1.

    Then find the second most preferred-brand andassign it a number 2.

    Continue this procedure until you have ranked allthe brands of toothpaste in order of preference.

    The least preferred brand should be assigned arank of 10.

    No two brands should receive the same ranknumber. The criteria of preference is entirely upto you. There is no right or wrong answer TRY

    TO BE CONSISTENT.

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    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.

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    Instructions(EXAMPLE4)

    Below 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

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    Q-SORT TECHNIQUE

    Astructured approach to the study of subjectivity, using the Q sorting

    technique making internal beliefs observable.A comparative scaling

    technique that uses a rank order procedure to sort objects based on

    similarity with respect to some criterion.

    1. Identifying and sampling the concourse

    1. Selecting participants

    1. Q sorting

    1. Factor analysis

    1. Factor interpretation

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    Q-SORTING MATRIX

    8

    50

    9 1335244525413343

    1 4071654371021

    22 23494633022615

    47323118422714

    12483836174434192928 6

    20 39

    11

    Strongly Strongly

    Disagree Agree

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    NON-COMPARATIVE

    SCALES

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    Respondents evaluate only one object at a time, and for

    this reason noncomparative scales are often referred to as

    monadic scales.

    Noncomparative techniques consist of continuous and

    itemized rating scales.

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    CONTINUOUS 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.

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    ITEMIZED RATING SCALE

    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.

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    ITEMIZED RATING

    SCALE

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    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.

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    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.

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    SEMANTIC DIFFERENTIAL

    The semantic differential is a seven-point rating scale with

    end points associated with bipolar labels that have

    semantic meaning.

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    The negative adjective or phrase sometimes appears at the left side of thescale and sometimes at the right.

    This controls the tendency of some respondents, particularly those withvery positive or very negative attitudes, to mark the right- or left-hand sideswithout reading the labels.

    Individual items on a semantic differential scale may be scored on either a -3to +3 or a 1 to 7 scale.

    Of the scaling techniques considered, the semantic differential has beenapplied with the greatest consistency in results across countries.

    SEARS is: Powerful Unreliable Modern

    --:--:--:--:-X-:--:--: Weak --:--:--:--:--:-X-:--: Reliable --:--:--:--:--:--:-X-: Old-fashioned

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    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.

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    The data obtained by using a Stapel scale can be analyzed

    in the same way as semantic differential data.

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    REFERENCES

    WEBSITES

    http://www.saintjoe.edu/~teresam/MKT411/Chapt

    er10-notes.htm

    http://staff.neu.edu.tr/~rserdaroglu/files/MR%20C

    HPTERLER/MR%2010%2011%2012%20SESSION

    %208.pdf

    http://210.212.115.113:81/Amarnath%20Bose/Pre

    PhD/StudyMaterial/MeasurementAndScaling.pdf

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    BOOKS

    Coombs, C. H. (1953).."Theory and Methods of SocialMeasurement", in Research Methods in the BehavioralSciences, eds. Feslinger, L. and Ratz, D., Holt, Rinehart and

    Winston.

    Dillon, W. R., Madden, T. S and Firtle, N. H. (1994), MarketingResearch in a Marketing Environment, 3rd edition, Irwin, p. 298

    Malhotra and Birks et al, ch10,11,12

    Patten, M.L. (1997). Understanding research methods: Anoverview of the essentials. Los Angeles, CA: PyrczakPublishing, pp. 95-96

    Thurstone, L. L., (1927), "A Law of Comparative Judgment",Psychological Review34, pp. 273-86