21. Image Profile of Major vs. Commuter Airlines

22. Limitations of Semantic Differential Scales Respondents will misuse –Don’t read instructions and unfamiliar with SD scales Difficult to construct –Limited to only a few words –Negation not necessarily opposite Not black, which includes all colors, is not opposite of black No advantage relative to Likert scales

23. Limitations of Profile Analysis Few brands can be depicted Attributes are non-independent Profiles not weighted by attribute importance

48. Dollar Metric Scale

53. Category Scales n A category scale is a more sensitive measure than a scale having only two response categories - it provides more information. n Questions working is an extremely important factor in the usefulness of these scales.

54. Example of Category Scale How important were the following in your decision to visit San Diego (check one for each item) VERYSOMEWHATNOT TOO IMPORTANTIMPORTANTIMPORTANT CLIMATE_________________________________ COST OF TRAVEL_________________________________ FAMILY ORIENTED_________________________________ EDUCATIONAL/ HISTORICAL ASPECTS _______________________________ FAMILIARITY WITH AREA_________________________________

55. Method of Summated Ratings: The Likert Scale An extremely popular means for measuring attitudes. Respondents indicate their own attitudes by checking how strongly they agree or disagree with statements. Response alternatives: “strongly agree”, “agree”, “uncertain”, “disagree”, and “strongly disagree”.

56. Likert Scale for Measuring Attitudes Toward Tennis It is more fun to play a tough, competitive tennis match tan to play an easy one. ___Strongly Agree ___Agree ___Not Sure ___Disagree ___Strongly Disagree

57. Likert Scale for Measuring Attitudes Toward Tennis There is really no such thing as a tennis stroke that cannot be mastered. ___Strongly Agree ___Agree ___Not Sure ___Disagree ___Strongly Disagree

58. Playing tennis is a great way to exercise. ___Strongly Agree ___Agree ___Not Sure ___Disagree ___Strongly Disagree Likert Scale for Measuring Attitudes Toward Tennis

59. Semantic Differential A series of seven-point bipolar rating scales. Bipolar adjectives, such as “good” and “bad”, anchor both ends (or poles) of the scale.

60. Semantic Differential A weight is assigned to each position on the rating scale. Traditionally, scores are 7, 6, 5, 4, 3, 2, 1, or +3, +2, +1, 0, -1, -2, - 3.

61. Semantic Differential Scales for Measuring Attitudes Toward Tennis Exciting ___ : ___ : ___ : ___ : ___ : ___ : ___ : Calm Interesting ___ : ___ : ___ : ___ : ___ : ___ : ___ : Dull Simple___ : ___ : ___ : ___ : ___ : ___ : ___ Complex Passive___ : ___ : ___ : ___ : ___ : ___ : ___ Active

62. Numerical Scales Numerical scales have numbers as response options, rather than “semantic space’ or verbal descriptions, to identify categories (response positions).

63. Stapel Scales Modern versions of the Stapel scale place a single adjective as a substitute for the semantic differential when it is difficult to create pairs of bipolar adjectives. The advantage and disadvantages of a Stapel scale, as well as the results, are very similar to those for a semantic differential. However, the Stapel scale tends to be easier to conduct and administer.

64. A Stapel Scale for Measuring a Store’s Image Department Store Name +3 +2 +1 Wide Selection -2 -3

65. Select a plus number for words that you think describe the store accurately. the more accurately you think the work describes the store, the larger the plus number you should choose. Select a minus number for words you think do not describe the store accurately. The less accurately you think the word describes the store, the large the minus number you should choose, therefore, you can select any number from +3 for words that you think are very accurate all the way to -3 for words that you think are very inaccurate.

66. The behavioral differential instrument has been developed for measuring the behavioral intentions of subjects towards any object or category of objects. A description of the object to be judged is placed on the top of a sheet, and the subjects indicate their behavioral intentions toward this object on a series of scales. For example: A 25-year old woman sales representative Would ___ : ___ : ___ : ___ : ___ : ___ : ___ : Would Not Ask this person for advice. Behavioral Differential

67. Paired Comparisons In paired comparisons the respondents are presented with two objects at a time and asked to pick the one they prefer. Ranking objects with respect to one attribute is not difficult if only a few products are compared, but as the number of items increases, the number of comparisons increases geometrically (n*(n -1)/2). If the number of comparisons is too great, respondents may fatigue and no longer carefully discriminate among them.

68. Divide 100 points among each of the following brands according to your preference for the brand: Brand A _________ Brand B _________ Brand C _________

69. Graphic Rating Scales n A graphic rating scale presents respondents with a graphic continuum.

70. Graphic Rating Scale Stressing Pictorial Visual Communications 3 2 1 Very Good Poor

71. Monadic Rating Scale A Monadic Rating Scale asks about a single concept Now that you’ve had your automobile for about 1 year, please tell us how satisfied you are with its engine power and pickup. CompletelyVeryFairly WellSomewhatVery SatisfiedSatisfiedSatisfiedDissatisfiedDissatisfied

72. A Comparative Rating Scale A Comparative Rating Scale asks respondents to rate a concept by comparing it with a benchmark Please indicate how the amount of authority in your present position compares with the amount of authority that would be ideal for this position. TOO MUCHABOUT RIGHTTOO LITTLE

73. An Unbalanced Scale An Unbalanced Scale has more responses distributed at one end of the scale How satisfied are you with the bookstore in the Student Union? Neither Satisfied QuiteVery SatisfiedNor DissatisfiedSatisfiedDissatisfied

81. Using Importance Measurement to Drive Product Improvements Source: AMA Best Practice Webcasts Sponsored by: Maritz Research Webcast Date: September 9, 2004 Time: 56 minutes Presenter: Keith Chrzan, VP--Marketing Sciences, Maritz Research Click here for free webcast Click here for free webcast (you’ll need to register on the AMA site; statistical analysis toward end somewhat advanced)