measurement in survey research mktg 3342 fall 2008 professor edward fox
TRANSCRIPT
Measurement in Survey Measurement in Survey ResearchResearch
MKTG 3342MKTG 3342
Fall 2008Fall 2008
Professor Edward FoxProfessor Edward Fox
Measurement in Survey Measurement in Survey ResearchResearch
Measurement is the process of assigning numbers numbers or labels labels to the attributes of
objects, persons, states, or events in accordance with specific rulesrules
Identify the concept of
interest
Identify the concept of
interest
Develop a constructDevelop
a construct
A constitutivedefinition
A constitutivedefinition
An operationaldefinition
An operationaldefinition
A measurementscale
A measurementscale
Evaluate the reliability andvalidity of the
scale
Evaluate the reliability andvalidity of the
scale
Utilize thescale
Utilize thescale
Research findings
Research findings
The Measurement ProcessThe Measurement Process
…which is used to create…
…which enables a researcher to
develop …
…which enables a researcher to create…
…that requires the researcher to…
If the evaluation is satisfactory, the
researcher…
…which leads to…
…which is used to…
Steps 1&2: Identify Concept / Steps 1&2: Identify Concept / Develop ConstructDevelop Construct
Identify the concept of
interest
Identify the concept of
interest
Develop a constructDevelop
a construct
A constitutivedefinition
A constitutivedefinition
An operationaldefinition
An operationaldefinition
A measurementscale
A measurementscale
Evaluate the reliability andvalidity of the
scale
Evaluate the reliability andvalidity of the
scale
Utilize thescale
Utilize thescale
Research findings
Research findings
Steps 1&2: Identify Concept / Steps 1&2: Identify Concept / Develop ConstructDevelop Construct
Measurement begins by identifying a concept of interest and the construct to be studied. Both are abstractions of reality.
A concept is expressed in every-day terminology. This requires the researcher to generalize/categorize.
A construct is a theoretical abstraction that can’t really be observed (e.g., love, trust, social class, personality, power).
Steps 1&2: Identify Concept / Steps 1&2: Identify Concept / Develop Construct – ExampleDevelop Construct – Example
Question – Why do some customers buy Air Jordan athletic shoes over and over again?
Concept – Repeat purchase
Construct – Brand loyalty
Steps 3&4: Define the Concept Steps 3&4: Define the Concept Conceptually and OperationallyConceptually and Operationally
Identify the concept of
interest
Identify the concept of
interest
Develop a constructDevelop
a construct
A constitutivedefinition
A constitutivedefinition
An operationaldefinition
An operationaldefinition
A measurementscale
A measurementscale
Evaluate the reliability andvalidity of the
scale
Evaluate the reliability andvalidity of the
scale
Utilize thescale
Utilize thescale
Research findings
Research findings
Steps 3&4: Define the Concept Steps 3&4: Define the Concept Conceptually and OperationallyConceptually and Operationally
Constitutive DefinitionA theoretical or conceptual definition
that defines the concept in terms of other concepts and constructs; like a dictionary definition
Operational DefinitionDefines which observable characteristics
will be measured and the process for assigning a value to the concept
Steps 3&4: Define the Concept Steps 3&4: Define the Concept Conceptually and Operationally – Conceptually and Operationally –
ExampleExample
Constitutive Definition – Increased propensity to purchase a brand due to previous experience with that brand
Operational Definition – Rating of purchase probability, depending upon prior purchase
Step 5: Develop a Step 5: Develop a Measurement ScaleMeasurement Scale
Identify the concept of
interest
Identify the concept of
interest
Develop a constructDevelop
a construct
A constitutivedefinition
A constitutivedefinition
An operationaldefinition
An operationaldefinition
A measurementScale
A measurementScale
Evaluate the reliability andvalidity of the
scale
Evaluate the reliability andvalidity of the
scale
Utilize thescale
Utilize thescale
Research findings
Research findings
Step 5: Develop a Measurement Step 5: Develop a Measurement ScaleScale
SCALEA scale is a set of symbols or numbers
so constructed that the symbols or numbers can be assigned by a rule for the individuals (or their behaviors or attitudes) to whom the scale is applied
Types of ScalesTypes of Scales
NominalDescription
Uses numerals to identify objects, individuals, events, or groups. Used for Classification (male/female; buyer/nonbuyer)
Typical Descriptive StatisticsFrequency counts, percentages/modes
Examples of Nominal ScalesGender (1) Male (2) Female Geographic Area (1) Urban (2) Rural
(3) Suburban
Types of ScalesTypes of ScalesOrdinal Scale
DescriptionIn addition to identification, the numerals
provide information about the relative amount of some characteristic; determines greater or less than
Typical Descriptive StatisticsMedian
Example of Ordinal Scale: Please rank the following fax machines from 1 to 5 with
1 being the most preferred and 5 the least preferred. _____ Panasonic _____ Toshiba _____ Sharp _____ Savin _____ Ricoh
Types of ScalesTypes of Scales Interval
DescriptionHas all the properties of nominal and
ordinal scales + equal intervals between consecutive points; preferred measure for complex concepts or constructs
Typical Descriptive StatisticsMean/variance
Example of an Interval ScaleScaled response (on a scale from 1 to 10…)
Types of ScalesTypes of Scales
RatioDescription
Incorporates all the properties of nominal, ordinal, and interval scales plus it includes an absolute zero point
Typical Descriptive StatisticsMean/variance + a few higher order
statisticsExample of a Ratio Scale
Age, weight, height, population of the U.S., etc.
Step 5: Develop a Step 5: Develop a Measurement Scale – Measurement Scale –
Example Example Probability of purchasing the shoe
brand again in the next month, next year, or at any point in the future
Type of scale?
Step 6: Scale Reliability and Step 6: Scale Reliability and ValidityValidity
Identify the concept of
interest
Identify the concept of
interest
Develop a constructDevelop
a construct
A constitutivedefinition
A constitutivedefinition
An operationaldefinition
An operationaldefinition
A measurementscale
A measurementscale
Evaluate the reliability andvalidity of the
scale
Evaluate the reliability andvalidity of the
scale
Utilize thescale
Utilize thescale
Research findings
Research findings
Step 6: Scale Reliability and Step 6: Scale Reliability and ValidityValidity
Any measurement can be expressed as a Any measurement can be expressed as a function of three components:function of three components:
XXOO = X = XTT + X + XSS + X + XRR
Observed Score = True Score + Systematic Error + Random ErrorObserved Score = True Score + Systematic Error + Random Error
Ideally,Ideally, XXOO = X = XTT
In Practice,In Practice, XXOO X XT T … …
that is, Xthat is, XSS + X + XRR 0 0
Total Error = XTotal Error = XSS + X + XRR, where , where
XXSS = Systematic error (validity) = Systematic error (validity)
XXRR = Random error (reliability) = Random error (reliability)
Step 6: Scale Reliability and Step 6: Scale Reliability and Validity – IllustrationValidity – Illustration
..........
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Not Reliable Reliable and ValidNot Valid
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Scale ReliabilityScale Reliability
The degree to which measures are free from random “noise” and, therefore, provide consistent data
IssuesTest-Retest ReliabilityInternal Reliability (split-half
technique)
Scale ValidityScale Validity
Addresses the issue of whether what we attempted to measure was actually measured
IssuesFace ValidityContent ValidityPredictive ValidityConvergent ValidityDiscriminant Validity
SummarySummary
Measurement means using rules to assign numbers to objects in such a way as to represent quantities of attributes
The measurement process is as follows: identify the concept of interest, develop a construct, define the concept constitutively and operationally, develop a measurement scale, evaluate the reliability and validity of the scale, and then use the scale
There are four basic types of measurement scales: nominal, ordinal, interval, and ratio
SummarySummary(Cont.)(Cont.)
Measurement data consists of information (“signal”) and error (“noise”).
Validity requires that you actually measure what you intended to measure
Reliability is the degree to which measures are free from random error