Exam 8: Measurement and Scaling

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Which of the following scales is not a type of comparative scale (Figure 8.2 in the text)?

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D

There are three primary scales of measurement: nominal, ordinal, and ratio.

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Which of the following is not one of the suggested modifications of the paired comparison technique?

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

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In marketing, sales, cost, market share, and number of customers are variables measured on a(n) scale.

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Statistical techniques that may be used on interval scale data include all of those that can be applied to nominal, ordinal, and ratio data.

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are one of two types of scaling techniques in which each stimulus object is scaled independently of the other objects in the stimulus set.

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In constant sum scaling, respondents allocate a constant sum of units, such as points, dollars, or chips, among a set of stimulus objects with respect to some criterion.

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is the generation of a continuum upon which measured objects are located.

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Which of the following is not a type of non- comparative scale?

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After paired comparisons, the most popular comparative rating scale is _.

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Transitivity of preference is an assumption made in order to convert constant sum data to rank order data. It implies that if brand A is preferred to brand B and brand B is preferred to brand C, then brand A is preferred to brand C.

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The rankings of teams in a tournament constitute a(n) _ scale.

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is a scale in which the numbers are used to rate objects such that numerically equal distances on the scale represent equal distances in the characteristic being measured.

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are one of two types of scaling techniques in which there is direct comparison of stimulus objects with one another.

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Non- comparative scaling data are generally assumed to be interval or ratio scaled.

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A nominal scale can only involve the assignment of numbers; alphabets or symbols cannot be assigned.

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Which statement is true concerning constant sum scaling?

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Which of the following statistics is not permissible with ordinally scaled data (Table 8.1 in the text)?

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In addition to the counting operation allowable for nominal scale data, ordinal scales permit the use of statistics based on percentiles.

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