Attitude%20Measurement - PowerPoint PPT Presentation

About This Presentation
Title:

Attitude%20Measurement

Description:

2 to infinity (Problems?) 5 7 preferred. Strength of the Anchors ... Attitudes to complex objects like cars, insurance, credit cards, etc. may have many facets ... – PowerPoint PPT presentation

Number of Views:449
Avg rating:3.0/5.0
Slides: 46
Provided by: sureshs
Category:

less

Transcript and Presenter's Notes

Title: Attitude%20Measurement


1
  • Attitude Measurement

2
What is an Attitude
  • A mental state used by individuals to structure
    the way they perceive the environment and guide
    the way they respond to it
  • Essence of the human change agent influencing
    attitudes can influence how you behave
  • Great diagnostic / explanatory value why
    consumers buy / dont buy
  • Overwhelming amount of primary research in
    marketing deals in measuring attitudes

3
Formation of attitudes (MAAM)
  • Belief about a brand Attribute x strength of
    its association with brand
  • Importance of attribute moderates belief strength
  • Sum of moderated beliefs attitude to brand
  • Interpret the figure according to the direction
    of the scale
  • Interpret the figure relative to attitude
    measures for competing brands
  • Multi Attribute Attitude Modeling (MAAM)

4
Multi-Attribute Attitude Models
n Ab ? bi ei
i 1 Ab attitude toward brand bi
belief about the relationship
between brand and attribute i ei attribute
importance weight i n number of salient
attributes
5
Multi-Attribute Attitude Models
Example Value Store
Store Store Attribute
(ei) X Y Z Wide Selection 0.3 2 3 3 Low
Price 0.2 3 -2 -1 High Quality 0.3 -1 3 1
Convenient 0.2 2 2 3 location
biei for Store X (0.3)(2) (3)(0.2)
(-1)(0.3) (2)(0.2) 1.3 biei for Store Y
(3)(0.3) (-2)(0.2) (3)(0.3) (2)(0.2)
1.8 biei for Store Z (3)(0.3) (-1)(0.2)
(1)(0.3) (3)(0.2) 1.6
6
Attitude Research
7
Three Components of Attitude
Affective Component
Action Component
Cognitive Component
8
Attitude components
  • Cognitive component
  • Awareness of object
  • Knowledge of attributes of object
  • Judgments of
  • importance of attributes of object
  • Satisfaction
  • Etc.
  • Affective component
  • Feelings and emotions
  • Conative component
  • drive to act / behave motivation
  • Desire
  • Attitude is a three dimensional construct

9
Ideas, Concepts, Constructs and Variables
  • E.g. I want to make advertising that is cool,
    hip and edgy
  • Can you lay down clear boundaries between cool,
    hip and edgy?

10
Ideas, Concepts, Constructs and Variables
  • E.g. I want to make advertising that is
    contemporary and effective
  • Can you lay down clear boundaries between
    contemporary and effective?

11
Ideas, Concepts, Constructs and Variables
  • 1. . E.g. How much do you like Winthrop
    University?
  • Hate it----Dislike it----neither like nor dislike
    ----Like it----Love it
  • Variable
  • 2. E.g. Did you buy the product when you last
    went to the store? Y/N
  • Variable

12
Construct vs. Variable
  • Construct
  • An idea / concept which stands on its own
  • In the conceptual / abstract domain
  • E.g. attitude, satisfaction, love, romance,
    commitment, motivation, etc.
  • May have several dimensions e.g. dimensions of
    attitude, etc.
  • Variable
  • The operationalization of the construct
  • A variable can be measured
  • E.g. the operationalization of attitude is
    liking of romance could be attraction etc.
  • If a construct has several dimensions, its
    variable has several factors e.g. factors of
    attitude, etc.

13
Measurement and Scaling
  • Measurement standardized process of assigning
    numbers / symbols to characteristics of objects
    according to pre-specified rules
  • One-to-one correspondence between the number /
    symbol and the characteristic
  • Assignment to be invariant over time and objects
  • Scaling process of creating a continuum on
    which objects are located according to the amount
    of the measured characteristic they possess

14
Classification of attitude scales
Attitude Scales
Single-Item Scales
Continuous Scales
Multi-Item Scales
Itemized Category Scales
Comparative Scales
Paired Comparison Scales
Rank-Order Scales
Constant Sum Scales
Pictorial Scales
Stapel Scales
Likert Scales
15
Continuous Scales
  • How would you rate Sears as a department store?
  • Probably the worst -------------------------------
    ------------- Probably the best
  • Problems Unreliable in interpretation hence not
    widely used

16
Typical Attitude Rating Scales
  • Single item scales Only one item to measure the
    construct
  • Comparative
  • Rank order
  • Pictorial
  • Constant sum
  • Multi-item rating scales More than one item to
    measure the construct
  • Likert
  • Semantic Differential
  • Stapel

17
Single Item rating scales
  • Advantages
  • Relatively quick, uncomplicated measurement
  • Relatively simple to analyze
  • Problems
  • Can one item measure all the dimensions of the
    construct?

18
Single item scales
  • Itemized-category scales
  • Labels each category on the scale
  • Example
  • What is your overall satisfaction with McDonalds
    Hamburgers
  • Very satisfied
  • Quite satisfied
  • Somewhat satisfied
  • Not at all satisfied

19
What are the problems with this scale
20
Single item scales
  • Comparative Scales forces respondent to
    evaluate the object w.r.t. another, on the same
    attribute
  • Example
  • Compared to Burger King, how would you rate
    McDonalds Hamburgers on taste
  • Very superior
  • Superior
  • Neither superior or inferior
  • Inferior
  • Very inferior

21
Single item scales
  • Rank-order scales
  • requires respondents to arrange a set of objects
    with regard to a common criterion e.g. interest
    in an ad, brand preferences, etc.
  • Closely corresponds with the choice process since
    buyers make direct comparisons amongst competing
    alternatives

22
Rank Order Scales
Please rank the following in order of your
preference where 1 your most preferred and 9
your least preferred.
Brand A _____ Brand B _____ Brand C
_____ Brand D _____ Brand E _____ Brand F
_____ Brand G _____ Brand H _____ Brand I
_____
23
What are the problems with this scale
  • How will you improve this scale?

24
Single item scales
  • Constant sum scaling
  • Allocate a fixed number of rating points amongst
    several objects / attributes to reflect relative
    preference for the objects / importance of the
    attributes
  • Multi-attribute model importance weights

25
Constant Sum Scale
  • Divide 100 points among the following attributes
    of a PC in terms of how important they are to you
    in making a purchase decision.
  • Clock Speed 30
  • Hard drive size 20
  • RAM size 10
  • Price 40
  • TOTAL 100
  • Possible problems with this scale?

26
Single item scales
  • Pictorial Scales
  • Various levels of the scale are depicted
    pictorially
  • Generally used when surveying children /
    illiterate samples

27
Pictorial Scales
  • Interviewer says Eating Honey Munch Cereal
    makes me feel

28
Designing Scales
  • Number of Scale Categories
  • 2 to infinity (Problems?)
  • 5 7 preferred
  • Strength of the Anchors
  • colorful vs. very colorful vs. extremely colorful
  • Strong anchors are less likely to be used
  • Balance of a Scale
  • balanced vs. unbalanced (problems with unbalanced
    scales?)
  • Equal number of categories on both sides

29
Designing Scales
  • Types of poles used in the scale
  • Sweet and not-sweet vs. sweet and bitter
  • Problems?
  • Labeling of the Categories
  • no labels vs. some labels vs. all labels
  • Labeling reduces ambiguity
  • Labeling also causes cracks

30
Designing scales
  • Number of response alternatives
  • Five to seven is a good number
  • Two to three generally stifle responses and
    frustrate respondents
  • More than nine is superfluous
  • An odd number is preferred since a neutral
    position can be legitimately adopted
  • Dont Know option
  • Use it when there is a distinct possibility
  • Overuse may attract responses from disinterested
    respondents

31
Multiple Item Scales
  • Attitudes to complex objects like cars,
    insurance, credit cards, etc. may have many
    facets
  • Unrealistic to expect just one item to capture
    all these facets
  • Here we use multi-item scales
  • Example Attitudes to Winthrop University

32
Likert Scale
  • Require respondents to indicate their degree of
    agreement / disagreement with a variety of
    statements related to the attribute or object
  • Also called summated scales because scores on
    individual items are summed to obtain scores for
    respondents

33
Likert scale example Satisfaction survey of Bank
Strongly Disagree Disagree Neutral Agree Strongly Agree
Courteous service 1 2 3 4 5
Convenient locations 1 2 3 4 5
Convenient hours 1 2 3 4 5
Low interest loans 1 2 3 4 5
34
Semantic Differential Scale
  • Used to describe a set of beliefs that comprise a
    persons image of an object
  • Each scale item is bounded at each end by a polar
    adjective or phrase / bipolar adjectives or
    phrases
  • Can be spatially represented on profile maps to a
    clearer understanding

35
Semantic Differential Scale
Low Price
1
High Price
1
Consistent Quality
Spotty Quality
Smooth
Tangy
Not Bitter
Bitter
36
Stapel Scale
3
Heavy
Tangy
Consistent Quality
3
2
2
1
1
-1
-1
-2
-2
-3
-3
37
Exercise Identify the scale
38
Exercise Identify the scale
39
Accuracy of Attitude Measurements
  • Reliability
  • Does the scale perform consistently over time and
    over different sets of respondents?
  • Test-Retest reliability administering the same
    scale at two different points in time to the same
    / different sample
  • Absence of reliability induces random error in
    the measurement
  • Reliability of 0.7 and above is generally good

40
Accuracy of Attitude Measurements
  • Validity
  • Does the scale measure what it is intended to
    measure?
  • Absence of validity induces systematic error in
    the measurement i.e. the scale is measuring
    something else over and above the construct in
    question (e.g. attitudes)
  • A valid measure is one that reflects the true
    score

41
Accuracy of attitude measurements
  • Observed score true score systematic error
    random error
  • Hence a valid measure has both zero systematic
    and random errors
  • If random error is zero (i.e. the scale is
    perfectly reliable) it may still not be valid
  • The scale may be consistently measuring something
    else
  • Hence reliability is a necessary but not
    sufficient pre-condition of validity

42
Types of validity
  • Face validity a knowledgeable conclusion about
    the scale validity
  • Convergent validity
  • Criterion validity does the variable predict
    another variable satisfactorily
  • Does attitude to brand predict purchase
    intentions, both measured at the same time?
  • Predictive validity if the DV is measured in
    the future
  • Does college GPA predict the amount of salary you
    earn in the future?
  • Does attitude to brand predict future buying
    behavior?

43
Types of validity
  • Discriminant validity
  • Is your construct different from another
    construct
  • Are attitude to brand and purchase intentions two
    different constructs, or the same construct with
    two different labels?
  • Effect of attitude to brand and purchase
    intentions on purchase behavior
  • Construct validity
  • Conclusion about the measure after testing
    reliability, convergent and discriminant validity

44
Accuracy of Attitude Measurements
  • Sensitivity
  • Ability of the scale to capture meaningful
    differences in attitudes
  • Can be achieved by increasing the levels but the
    greater the levels the lower the reliability
  • Generally 5 to 7 levels are good
  • Generalizability
  • Ease of scale administration and interpretation
    in different research settings
  • Relevance
  • Validity x Reliability (between 0 to 1)
  • Meaningfulness to measure a construct

45
Accuracy of Attitude Measurements
  • Dimensionality
  • Does the construct consist of only one dimension
    or more than one dimensions
  • E.g. Attitudes 1,2 or 3 dimensions?
  • Measured through a factor analysis
Write a Comment
User Comments (0)
About PowerShow.com