measurement student
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Measurement
Assigning Numbers ToReflect the Degree or
Amount of a Characteristic
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Measurement Scales
Series of items thatare arrangedprogressively
according to value ormagnitude
A series into which anitem can be placeaccording to itsquantification
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Be Careful«.
The type of scale used will dictate:
the type of analysis that can be done
the conclusions that can be drawn
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MEASURES OF
CENTRAL TENDENCY
MODE:
MEDIAN:
MEAN:
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Nominal Scale
Identification only
No order or meaning
to the numbers
Examples:
Measure of CentralTendency:
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Ordinal Scale
Order to the data
Distance between twonumbers is unknown and
uneven
Examples:
Measure of CentralTendency:
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Interval Scale
Order to the data
Equal distance betweennumbers
No ³natural zero´
Examples:
We assume a lot of scales areinterval
Measure of Central Tendency:
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Ratio Scales
Order to the data
Equal distance between numbers
³natural zero´ where zero means ³none´
Examples:
Measure of Central Tendency:
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YOUR TURN --Write a question for
each type of scale
Nominal
Ordinal
Interval
Ratio
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Converting Theories into Measurement
Instruments
Theory ± establishes the relationshipamong constructs
The constructs must be related to observable
data
C
C
CObservable data
M
M
M
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Need to convert the conceptual
definition to an operational definition:
Conceptual definition:
Operational Definition:
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Example: Operationalizing Consumer
Sentiment Toward Marketing
ProductQuality
Price of
Products
Ads forproducts
Retailing
The quality of most products that I buy today is as goodas can be expected
I am satisfied with most of the products I buy«
Most products I buy are overpricedMost prices are reasonable considering the high cost of
doing business«
Most advertising provides consumers with essentialinformation
Most advertising is annoying®«
Most retail stores serve their customers well
Because of the way retialers treat me most of myshopping is unpleasant® «.
Gaski and Etzel ³Index of consumer sentiment toward marketing´ in Marketing Scales Handbook (2000)
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Criteria For Good Measurement
R eliability-
Validity-
Sensitivity-
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1) Reliability of Scales
Internal Consistency: Coefficient alpha (inter-correlation
among items)
Are the results on questions measuringthe same thing consistent?
Single item scales more suspect torandom error
Test/retest: Are consistent results found on repeated
measures
Inter-judge reliability Agreement between coders/ judges
evaluating an ob ject
NOTE: Reliability is a
necessary condition for
validity but a
reliable instrument may not
be valid
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2 ) Validity of Scales
Content validity (Face validity) Everything related to the construct is captured by the instrument
Construct Validity Does the measure actually measure the construct, concept or trait that
it is suppose to be measuring
Look at ± convergent validity, discriminant validity, nomologicalvalidity
Pragmatic (Predictive) validity Do the results of the measurement predict some other characteristic
or behavior
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3 ) Sensitivity Refers to an instruments ability to accurately measure variability
in stimuli or responses
Example:
I love to eat chocolate:
Agree Disagree
OR
Strongly agree Mildly agree Neither agree or disagree Mildly disagree Strongly disagree
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Types of Scales
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General Distinction:
Dichotomous Scale:
Multichotomous Scale:
Open-ended Ratio:
Open-ended Nominal:
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Continuous Graphic Rating Scales
Place a mark on the line indicating how importantit is to have each of the following at yourvacation resort:
Alpine slides _____________________unimportant important
5 inch line 127 mm
1/20 inch
Scaling?
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Other Graphic Rating Scales
Happy faces
Thermometer
Uses??
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Itemized Rating Scale (Category
Scales ) Several categories from which the respondent
can choose
Example of a General Itemized rating scale:
How likely are you to buy a Sony DVD player in the next 3mos.
definitely will buy
Probably will buy Might buy
Probably will not buy
Definitely will not buy
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Common Forms of Itemized Rating
Scales:
Likert
Semantic Differential
Staple
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Likert Scales
Sentences with which the respondentagrees or disagrees
Indicate your level of agreement ordisagreement with the followingstatement:
It would be cool to have a candy-red 1965convertible Mustang
SD D Neither A SA
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Likert Scales
Code such that higher numbers indicatemore or better things
May need to Reverse Code
Can create summated scales to form anindex if the coefficient alpha is high
Assume __________ scale
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EXAMPLE of LIK ERT SCALES
PLEASE ³X´ ONE BOX FOR EACH STATEMENT BELOW. STRONGLY STRONGLY
DISAGREE AGREE
I really want my heart to get better ««««««««««««««..
I would be very happy if my heart got better««««««««««...
I desire that my heart gets better «««««««««««««««.
It is important to me that my heart gets better««««««««««
Whether or not my heart gets better doesn¶t really matter tome«...
I feel like my heart is not as healthy as I would like«««««««..
I have been without a healthy heart for a long time«««««««.
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
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Semantic Differential
Series of attitude scales where repeated judgments about a concept are made
Opposite ad jective words or phrases
Use several of these and sum them if thecoefficient alpha is high
Fast __:__:__:__:__:__:__ SlowBad __:__:__:__:__:__:__ Good
Service Service
Tasty __:__:__:__:__:__:__ Not Tasty
Food Food
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Semantic Differential
Code such that higher numbers indicatebetter things or more of something May need to Reverse Code
Make an overall score--sum the items
Develop a snake diagram (image profile)
to compare competitors
Assume _____ scaling
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Staple Scale
Use +5 (describes completely) to -5 (does notdescribe at all)
Easy to construct
Good for phone
May look difficult for respondentService is Fast -5 -4 -3 -2 -1 +1 +2 +3 +4 +5
Food is Tasty -5 -4 -3 -2 -1 +1 +2 +3 +4 +5
Assume _______ scaling
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Considerations for Itemized
Response Scales 7 +/- 2 categories work best
Odd vs even number scales
Equal number of positive and negative categories
Consider ³r ever se scaling´ but use sparingly
Distinguish ³u
ndecided ́ from ³neu
t r al ́
Put ³undecided´ or ³no opinion´ at the end
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Comparative Scales
Compare one set of ob jects directly withanother
sensitive
easy
can create artificial differences
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Paired Comparison
Which do you prefer? Barry Manilow
Red Hot Chili Peppers
Barry Manilow Tom Petty
Tom Petty
Red Hot Chilli Peppers
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Paired Comparison Table (Cross Tab )
Manilow RHCP Tom Petty
Manilow ----- 0.90 0.85
RHCP 0.10 ---- 0.60
Tom Petty 0.15 0.40 ----
* % of time that the column was chosen over therow
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Calculation of ´Rank-Order Valuesµ
Manilow RHCP Tom Petty
Manilow - 1 1
RH
CP 0 - 1
Tom Petty 0 0 -
0 1 2
*If the % score was 50% or more = 1
*If the % score was less than 50% = 0
Higher score indicates greater preference
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Rank-order Scales
Respondents are simultaneously presentedwith several ob jects/attributes that theyrank order
Please rate the following from 1=mostpreferred/important to 4= leastpreferred/important
price location
cleanliness food selection
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Rank-order Calculations
Calculate frequencies of responses for each item
Multiply frequency by response
Lower numbers indicate greater preference
See Example - Handout
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Comparative Continuous Graphic
Rating Scale Similarity ratings used for perceptual
maps
Pitt and WVU
_________________________
Exactly Completely
the same different
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Constant Sum Scales
Assign chips or points toattributes
Very careful withinstructions
Difficult for the respondent
use with highinvolvement/education