Malhotra 08 tif - research techniques PDF

Title Malhotra 08 tif - research techniques
Author Jolonto Jonaki
Course Marketing Research
Institution North South University
Pages 13
File Size 147.8 KB
File Type PDF
Total Downloads 152
Total Views 613

Summary

Chapter 8Measurement and Scaling: Fundamentals and Comparative ScalingTrue/False Questions When we measure the perceptions, attitudes, and preferences of consumers, we are measuring the objects of other relevant characteristics. (False, difficult, page 236) In measurement, when assigning numbers to ...


Description

Chapter 8 Measurement and Scaling: Fundamentals and Comparative Scaling True/False Questions 1. When we measure the perceptions, attitudes, and preferences of consumers, we are measuring the objects of other relevant characteristics. (False, difficult, page 236) 2. In measurement, when assigning numbers to the characteristics there must be a oneto-one correspondence between the numbers and the characteristics being measured. (True, moderate, page 236) 3. There are three primary scales of measurement: nominal, ordinal, and ratio. (False, easy, page 236) 4. A nominal scale can only involve the assignment of numbers; alphabets or symbols cannot be assigned. (False, easy, page 237) 5. Only a limited number of statistics, all of which are based on frequency counts, are permissible on the numbers in a nominal scale. (True, moderate, page 238) 6. An ordinal scale indicates relative position and the magnitude of the differences between the objects. (False, easy, page 238) 7. In addition to the counting operation allowable for nominal scale data, ordinal scales permit the use of statistics based on percentiles. (True, moderate, page 239) 8. Ratios of differences between scale values are permissible. (True, easy, page 240) 9. Statistical techniques that may be used on interval scale data include all of those that can be applied to nominal, ordinal, and ratio data.

103

(False, easy, page 240) 10. Ratio scales allow proportionate transformations of the form y = b x, where b is a positive constant. One can add an arbitrary constant, as in the case of an interval scale. (False, moderate, page 241) 11. All statistical techniques can be applied to ratio data. (True, easy, page 241) 12. It is possible to construct a nominal scale that provides partial information on order (the partially ordered scale). (True, moderate, page 241) 13. Comparative scales involve the direct comparison of stimulus objects. (True, easy, page 241) 14. In non-comparative scales, the scaling of each object is dependent on the others in the stimulus set. (False, moderate, page 242) 15. Non-comparative scales data are generally assumed to be interval or ratio scaled. (True, moderate, page 242) 16. In paired comparison scaling, the data obtained are interval in nature. (False, moderate, page 242) 17. 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. (False, moderate, page 243) 18. Paired comparisons bear little resemblance to the marketplace situation that involves selection from multiple alternatives. (True, easy, page 243) 19. Paired comparison scaling is useful when the number of brands is large, because it requires direct comparison and overt choice.

104

(True, moderate, page 243) 20. Rank order scaling is commonly used to measure preferences for brands as well as attributes. (True, moderate, page 244) 21. In constant sum scaling, if an attribute is twice as important as some other attribute, it receives twice as many points. (True, moderate, page 246) 22. Constant sum scale data are sometimes treated as metric. (True, difficult, page 247) 23. The constant sum should be considered an ordinal scale. (True, difficult, page 247) 24. From the viewpoint of the respondents, ratio scales are the simplest to use, whereas the nominal scales are the most complex. (False, easy, page 247) 25. It is the obligation of the researcher to obtain data that are most appropriate, given the research questions to be answered. (True, easy, page 248) 26. All the primary scales of measurement explained in the text can be implemented on the Internet. (True, moderate, page 249) 27. It may be difficult to implement specialized scales such as the Q-sort on the Internet. (True, moderate, page 249) Multiple Choice Questions 28. _____ is the assignment of numbers or other symbols to characteristics of objects according to certain pre-specified rules. a. Ranking b. Measurement c. Scaling d. Rating (b, moderate, page 236) 29. _____ is the generation of a continuum upon which measured objects are located. a. Ranking

105

b. Measurement c. Scaling d. Rating (c, moderate, page 236) 30. Which statement is correct about measurement? a. The assignment of numbers to characteristics must be isomorphic. b. The rules for assigning numbers should be standardized and applied uniformly. c. Assigned numbers must not change over objects or time. d. All of the above statements are true. (d, moderate, page 236)

106

31. Consider a scale from 1 to 100 for locating consumers according to the characteristic “attitude toward department stores.” Each respondent is assigned a number from 1 to 100 indicating the degree of (un)favorableness, with 1 = extremely unfavorable, and 100 = extremely favorable. _____ is the actual assignment of a number from 1 to 100 to each respondent. _____ is the process of placing the respondents on a continuum with respect to their attitude toward department stores. a. Measurement; Scaling b. Scaling; Ranking c. Scaling; Measurement d. Ranking; Measurement (a, moderate, page 236) 32. A(n) _____ is a scale whose numbers serve only as labels or tags for identifying and classifying objects with a strict one-to-one correspondence between the numbers and the objects. a. ordinal scale b. interval scale c. ratio scale d. nominal scale (d, moderate, page 236) 33. When a _____ scale is used for the purpose of identification, there is a strict one-toone correspondence between the numbers and the objects. a. nominal b. ordinal c. interval d. ratio (a, moderate, page 237) 34. When used for classification purposes, the _____ scaled numbers serve as labels for classes or categories. a. ordinally b. intervally c. nominally d. ratio scale (c, moderate, page 237) 35. Which of the following statistics is not permissible with nominally scaled data (Table 8.1)? a. chi-square b. median c. range d. both b and c are not permissible (d, moderate, page 237)

107

36. _____ is a ranking scale in which numbers are assigned to objects to indicate the relative extent to which some characteristic is possessed. Thus it is possible to determine whether an object has more or less of a characteristic than some other object. a. Ordinal scale b. Interval scale c. Ratio scale d. Nominal scale (a, moderate, page 238) 37. The rankings of teams in a tournament constitute a _____ scale. a. nominal b. ordinal c. interval d. ratio (b, easy, page 238) 38. In marketing research, _____ scales are used to measure relative attitudes, opinions, perceptions, and preferences. In the opening example for Chapter 8, this was shown by the rank order of the most admired companies. a. nominal b. ordinal c. interval d. ratio (b, moderate, page 238) 39. Which of the following statistics is permissible with ordinally scaled data (Table 8.1)? a. percentages b. mode c. rank order correlation d. all of the above (d, difficult, page 239) 40. _____ is a scale in which the numbers are used to rank objects such that numerically equal distances on the scale represent equal distances in the characteristic being measured. a. Ordinal scale b. Interval scale c. Ratio scale d. Nominal scale (b, moderate, page 239)

108

41. In marketing research, attitudinal data obtained from rating scales are often treated as _____ data. a. nominal b. ordinal c. interval d. ratio (c, difficult, page 239) 42. Which statement is true about the interval scale? a. Ratios of scale values can be computed. b. Both the zero point and the units of measurement are arbitrary. c. Any positive linear transformation of the form y = a + bx will preserve the properties of the scale. d. Both b and c are correct. (d, difficult, page 240) 43. Which of the following statistics is not permissible for interval data (Table 8.1)? a. factor analysis b. harmonic mean c. binomial test d. t-tests (b, difficult, page 240) 44. The _____ is the highest scale. It allows the researcher to identify or classify objects, rank order the objects, and compare intervals or differences. It is also meaningful to compute ratios of scale values. a. ordinal scale b. interval scale c. ratio scale d. nominal scale (c, easy, page 241) 45. In marketing, sales, cost, market share, and number of customers are variables measured on a _____ scale. a. nominal b. ordinal c. interval d. ratio (d, easy, page 241)

109

46. _____ are one of two types of scaling techniques in which there is direct comparison of stimulus objects with one another. a. Preference scales b. Comparative scales c. Non-comparative scales d. None of the above (b, moderate, page 241) 47. Which of the following statements is not true about the comparative scales technique? a. An example of using comparative scales is asking respondents to evaluate Coke on a 1 to 6 preference scale. b. Comparative scale data must be interpreted in relative terms and have only ordinal or rank order properties. c. Comparative scaling is also referred to as non-metric scaling. d. Comparative scales include paired comparisons, rank order, and constant sum scales. (a, moderate, page 241) 48. The benefits of comparative scaling includes all of the following except: a. Comparative scales involve fewer theoretical assumptions. b. Comparative scales are easily understood and can be applied easily. c. Comparative scales tend to reduce halo or carryover effects from one judgment to another. d. Small differences between stimulus objects can be detected. (c, moderate, page 242) 49. Which of the following scales is not a type of comparative scale? a. semantic differential b. constant sum c. Likert d. both a and c (d, difficult, page 242) 50. _____ are one of two types of scaling techniques in which each stimulus object is scaled independently of the other objects in the stimulus set. a. Preference scales b. Comparative scales c. Non-comparative scales d. None of the above (c, moderate, page 242)

110

51. Which of the following is not a type of non-comparative scale? a. semantic differential b. constant sum c. Likert d. both a and c (b, difficult, page 242) 52. _____ is a comparative scaling technique in which a respondent is presented with two objects at a time and asked to select one object in the pair according to some criterion. The data obtained is ordinal in nature. a. Constant sum b. Q-sort c. Paired comparison d. Rank order (c, easy, page 242) 53. Paired comparison data can be analyzed in several ways. One way is for the researcher to calculate the percentage of respondents who prefer one stimulus to another. The researcher can also perform all of the following analyses on paired comparison data except: a. simultaneous evaluation of all the stimulus objects b. convert paired comparison data to a rank order c. derive an interval scale from paired comparison data d. order a set of objects into an internally consistent, uni-dimensional scale (d, difficult, page 243) 54. Which of the following is not one of the suggested modifications of the paired comparison technique? a. inclusion of a neutral/no difference opinion response b. graded paired comparisons c. obtaining similarity judgments in multidimensional scaling d. ranked paired comparisons (d, difficult, page 243) 55. The most common method of taste testing is paired comparison. A minimum of _____ responses is considered an adequate sample. a. 500 b. 1000 c. 2000 d. 4000 (b, difficult, page 244)

111

56. _____ is a comparative scaling technique in which respondents are presented with several objects simultaneously and asked to order or rank them according to some criterion. a. Constant sum b. Q-sort c. Paired comparison d. Rank order (d, easy, page 244) 57. _____ scaling and _____ scaling both are comparative in nature. Both result in ordinal data and might result in the respondent disliking the brand ranked 1 in an absolute sense. a. Paired comparison; constant sum b. Rank order; paired comparison c. Rank order; constant sum d. Q-sort; constant sum (b, easy, page 244) 58. _____ is a comparative scaling technique in which respondents are required to allocate a constant sum of units such as point, dollars, chits, stickers, or chips among a set of stimulus objects with respect to some criterion. a. Constant sum b. Q-sort c. Paired comparison d. Rank order (a, easy, page 246) 59. If respondents are asked to allocate 100 points to attributes of a toilet soap in a way that reflects the importance they attach to each attribute, _____ scaling is being used. a. constant sum b. q-sort c. paired comparison d. rank order (c, easy, page 246) 60. Which statement is true concerning constant sum scaling? a. It does not have an absolute zero. b. It allows for fine discrimination among stimulus objects without requiring much time. c. Respondents may allocate more or fewer units than those specified. d. Both b and c are correct. (d, moderate, page 247)

112

61. _____ scaling is a comparative scaling technique that uses a rank order procedure to sort objects based on similarity with respect to some criterion. a. Constant sum b. Q-sort c. Paired comparison d. Rank order (b, easy, page 247) 62. _____ is being used if respondents are given 100 attitude statements on individual cards and asked to place them into 11 piles, ranging from “most highly agreed with” to “least highly agreed with.” a. Constant sum b. Q-sort c. Paired comparison d. Rank order (b, moderate, page 247) 63. When using Q-sort scaling, the number of objects to be sorted should not be less than _____ or more than _____. a. 60; 90 b. 90; 140 c. 60; 140 d. 40; 60 (c, difficult, page 247) 64. _____ is a procedure for determining whether a set of objects can be ordered into an internally consistent, uni-dimensional scale. a. Magnitude estimation b. Q-sort scaling c. Guttman scaling d. None of the above (c, difficult, page 247) 65. Which statement is not correct concerning international marketing and the use of comparative scaling techniques? a. Opinion formation may not be well crystallized. b. In some developing countries, preferences can be best measured by using ordinal scales. c. Respondents in many developed countries, due to higher education and consumer sophistication levels, are quite used to providing responses on interval and ratio scales. d. None of the above statements are incorrect. (d, moderate, page 247)

113

Essay Questions 66. Discuss the primary scales of measurement (Table 8.1). Develop an example of each. Answer A nominal scale is one whose numbers serve only as labels or tags for identifying and classifying objects with a strict one-to-one correspondence between the numbers and the objects. For example, the numbers assigned to the respondents in a study constitute a nominal scale. An ordinal scale is a ranking scale in which numbers are assigned to objects to indicate the relative extent to which the objects possess some characteristic. An ordinal scale allows you to determine whether an object has more or less of a characteristic than some other object, but not how much more or less. Thus an ordinal scale indicates relative position, not the magnitude of the differences between the objects. Common examples of ordinal scales include quality rankings, rankings of teams in a tournament, socioeconomic class, and occupational status. In an interval scale, numerically equal distances on the scale represent equal values in the characteristic being measured. An interval scale contains all the information of an ordinal scale, but it also allows you to compare the differences between objects. A common example in everyday life is a temperature scale. In marketing research, attitudinal data obtained from rating scales are often treated as interval data. A ratio scale possesses all the properties of the nominal, ordinal, and interval scales and, in addition, an absolute zero point. Thus, in ratio scales we can identify or classify objects, rank the objects, and compare intervals or differences. Common examples of ratio scales include height, weight, age, and money. In marketing, sales, costs, market share, and number of customers are variables measured on a ratio scale. (moderate, pages 236-239, 241) 67. Compare the rank order scaling technique to the paired comparison scaling technique. Answer After paired comparisons, the most popular comparative scaling technique is rank order scaling. In rank order scaling , respondents are presented with several objects simultaneously and asked to order or rank them according to some criterion. In paired comparison scaling, a respondent is presented with two objects and asked to select one according to some criterion. Like paired comparison, rank order scaling is also comparative in nature and it is possible that the respondent may dislike the brand ranked 1 in an absolute sense. As compared to paired comparisons, the rank order scaling process more closely resembles the shopping environment. It also takes less time and eliminates intransitive responses. If there are n stimulus objects, only (n - 1) scaling decisions need be made in rank order scaling. However, in paired comparison scaling [n(n - 1)/2] decisions would be required. Another advantage is that most respondents easily understand the instructions for ranking. The major disadvantage is 114

that this technique produces only ordinal data. Finally, under the assumption of transitivity, rank order data can be converted to equivalent paired comparison data, and vice versa. (difficult, pages 242, 244-245) 68. Why is there confusion over whether constant sum data are ordinal or metric? Answer The constant sum has an absolute zero—10 points are twice as many as 5 points, and the difference between 5 and 2 points is the same as the difference between 57 and 54 points. For this reason, constant sum scale data are sometimes treated as metric. Although this may be appropriate in the limited context of the stimuli scaled, these results are not generalizable to other stimuli not included in the study. Hence, strictly speaking, the constant sum should be considered an ordinal scale because of its comparative nature and the resulting lack of generalizability. (moderate, page 247)

115...


Similar Free PDFs