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Measurement in
Marketing Research
Ch 10 2
Basic Question-Response Formats

Open-ended

Closed-ended

Scaled-response
Ch 10 3
Basic Question-Response Formats
Open-Ended

Open-ended question presents no
response options to the respondent.
Ch 10 4
Basic Question-Response Formats
Open-Ended: Unprobed

Unprobed format seeks no additional
information

Advantage:

Allows respondent to use his or her
own words

Disadvantages:


Difficult to code and interpret

Respondents may not give complete
answers
Ch 10 5
Basic Question-Response Formats
Open-Ended: Probed

Probed format includes a response
probe instructing the interviewer to
ask for additional information

Advantage:

Elicits complete answers

Disadvantage:

Difficult to code and interpret.
Ch 10 6
Basic Question-Response Formats
Closed-Ended

Closed-ended question provides
options on the questionnaire that can
be answered quickly and easily.
Ch 10 7
Basic Question-Response Formats
Closed-Ended: Dichotomous


Dichotomous has only two response
options, such as “yes” or “no”

Advantage:

Simple to administer and code

Disadvantage:

May oversimplify response options
Ch 10 8
Basic Question-Response Formats
Closed-Ended: Multiple Category

Multiple response has more than two
options for the response

Advantages:

Allows for broad range of possible responses

Simple to administer and code

Disadvantages:

Must distinguish “pick one” from “pick all that
apply”

May alert respondents to response options of
which they were unaware

Ch 10 9
Basic Question-Response Formats
Scaled-Response

Scaled-response question utilizes a
scale developed by the researcher to
measure the attributes of some
construct under study.
Ch 10 10
Basic Question-Response Formats
Scaled-Response: Unlabeled

Unlabeled uses a scale that may be purely
numerical or only the endpoints of the
scale are identified

Advantages:

Allows for degree of intensity/feelings to be
expressed

Simple to administer and code

Disadvantage:

Respondents may not relate well to the
scale
Ch 10 11
Basic Question-Response Formats
Scaled-Response: Labeled


Labeled uses a scale in which all of the scale
positions are identified with some description

Advantages:

Allows for degree of intensity/feelings to be
expressed

Simple to administer and code

Respondents can relate to scale

Disadvantage:

Scale may be “forced” or overly detailed
Ch 10 12
Considerations in Choosing a
Question-Response Format

The nature of the property being
measured

Gender=dichotomous; liking for
chocolate=scale

Previous research studies

Use format in previous study if
desire to compare

Ch 10 13
Considerations in Choosing a
Question-Response Format

The data collection mode

Cannot use some scales on the
phone

The ability of the respondent

Kids can’t relate to scaled
response

The scale level desired
Ch 10 14
Basic Concepts in
Measurement

Measurement: determining how much of a
property is possessed by an object

Properties: specific features or
characteristics of an object that can be
used to distinguish it from another object

Objective properties are physically
verifiable

Subjective properties are mental

constructs
Ch 10 15
Scale Characteristics Determine
the Level of Measurement

Description: the use of a descriptor, or
label, to stand for each “unit” on the
scale; “yes,” “no,” “male,” “female,” etc.

All levels of measurement have
description.

Order: the relative sizes of the
descriptors are known allowing us to say
one is “greater/less than” the other.
Ch 10 16
Scale Characteristics Determine
the Level of Measurement

Distance: the differences between
the descriptors are known: there is a
$1 difference between $4 and $5.
There is a 10 degree difference
between 90 and 100 degrees.

Origin: there is a true, natural zero:
there is a zero level of dollars, market
share, sales.
Ch 10 17
Levels of Measurement Scales


Nominal scales: those that use only labels

Ordinal scales: those with which the
researcher can rank-order the
respondents or responses

Interval scales: those in which the
distance between each descriptor is equal

Ratio scales: ones in which a true zero
exists
Ch 10 18
Levels of Measurement Scales
Ch 10 19
Why the Level of a Measurement
Scale is Important

The scale affects what may or may
not be said about the property being
measured.

Examples:

If you wish to calculate an average,
you must use an interval or ratio scale.

If you have a nominal or ordinal scale,
you must summarize the results with a
percentage or frequency distribution.

Ch 10 20
Examples of Scaling
Assumptions
Ch 10 21
Measuring Objective Properties

Physically verifiable characteristics
such as age, gender, number of
bottles purchased, etc.
Ch 10 22
Measuring Subjective
Properties

Cannot be directly observed because
they are mental constructs such as a
person’s attitudes, opinions, or
intentions.

For subjective properties,
researchers must translate mental
constructs onto an intensity
continuum.
Ch 10 23
Workhorse Scales Used in
Marketing Research

The Modified Likert Scale

The Life-Style Inventory


The Semantic Differential Scale

Halo effect

Other Scaled-Response Question
Formats
Ch 10 24
Reliability and Validity

Reliability: respondent responds in
the same or a similar manner to an
identical or nearly identical measure

Validity: accuracy of responses to a
measure

Face validity

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