Title: Attitude%20Measurement
1 2What 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
3Formation 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)
4Multi-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
5Multi-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
6Attitude Research
7Three Components of Attitude
Affective Component
Action Component
Cognitive Component
8Attitude 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
9Ideas, 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?
10Ideas, 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?
11Ideas, 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
12Construct 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.
13Measurement 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
14Classification 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
15Continuous Scales
- How would you rate Sears as a department store?
- Probably the worst -------------------------------
------------- Probably the best -
- Problems Unreliable in interpretation hence not
widely used
16Typical 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
17Single Item rating scales
- Advantages
- Relatively quick, uncomplicated measurement
- Relatively simple to analyze
- Problems
- Can one item measure all the dimensions of the
construct?
18Single 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
19What are the problems with this scale
20Single 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
21Single 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
22Rank 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
_____
23What are the problems with this scale
- How will you improve this scale?
24Single 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
25Constant 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?
26Single item scales
- Pictorial Scales
- Various levels of the scale are depicted
pictorially - Generally used when surveying children /
illiterate samples
27Pictorial Scales
- Interviewer says Eating Honey Munch Cereal
makes me feel
28Designing 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
29Designing 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
30Designing 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
31Multiple 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
32Likert 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
33Likert 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
34Semantic 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
35Semantic Differential Scale
Low Price
1
High Price
1
Consistent Quality
Spotty Quality
Smooth
Tangy
Not Bitter
Bitter
36Stapel Scale
3
Heavy
Tangy
Consistent Quality
3
2
2
1
1
-1
-1
-2
-2
-3
-3
37Exercise Identify the scale
38Exercise Identify the scale
39Accuracy 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
40Accuracy 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
41Accuracy 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
42Types 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?
43Types 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
44Accuracy 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
45Accuracy 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