Chapter 11 Learning Objectives Understand The distinction between measuring objects properties and indicants of properties The similarities and differences between the four scale types used in measurement and when each is used ID: 315995
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Slide1
Measurement
Chapter 11Slide2
Learning Objectives
Understand . . .
The distinction between measuring objects, properties, and indicants of properties.
The similarities and differences between the four scale types used in measurement and when each is used.
The four major sources of measurement error.
The criteria for evaluating good measurement.Slide3
Pull Quote
“You’re trying too hard to find a correlation here. You don’t know these people, you don’t know what they intended. You try to compile statistics and correlate them to a result that amounts to nothing more than speculation.”
Marc Racicot
,
former governor of Montana
and chairman of the Republican PartySlide4
Review of TermsSlide5
Measurement
Select
measurable phenomena
Develop a set of
mapping rules
Apply the mapping rule
to each phenomenonSlide6
Characteristics of MeasurementSlide7
Types of Scales
Ordinal
interval
Nominal
RatioSlide8
Levels of Measurement
Ordinal
interval
Ratio
Nominal
ClassificationSlide9
Nominal Scales
Mutually Exclusive
Collectively Exhaustive Categories
Classification OnlySlide10
Levels of Measurement
interval
Ratio
Nominal
Classification
Ordinal
Order
ClassificationSlide11
Ordinal Scales
Nominal Scale Characteristics
Order
Implies
greater than
or
less thanSlide12
Levels of Measurement
Ordinal
Ratio
Nominal
Classification
Order
Classification
interval
Order
Classification
DistanceSlide13
Interval Scales
Ordinal Scale Characteristics
Equality of interval
Equality of distance between numbersSlide14
Levels of Measurement
Ordinal
interval
Nominal
Classification
Order
Classification
Order
Classification
Distance
Ratio
Order
Classification
Distance
Natural OriginSlide15
Ratio Scales
Interval Scale Characteristics
Absolute ZeroSlide16
Examples of Data ScalesSlide17
From Investigative to Measurement QuestionsSlide18
Sources of Error
Respondent
Instrument
Measurer
Situation Slide19
Evaluating Measurement Tools
Criteria
Validity
Practicality
ReliabilitySlide20
Validity Determinants
Content
Construct
CriterionSlide21
Increasing Content Validity
Content
Literature Search
Expert Interviews
Group Interviews
Question Database
Etc.Slide22
Validity Determinants
Content
ConstructSlide23
Increasing Construct Validity
New measure of trust
Known measure of trust
Empathy
CredibilitySlide24
Validity Determinants
Content
Construct
CriterionSlide25
Judging Criterion Validity
Relevance
Freedom from bias
Reliability
Availability
CriterionSlide26
Summary of Validity EstimatesSlide27
Understanding Validity and ReliabilitySlide28
Reliability Estimates
Stability
Internal
Consistency
EquivalenceSlide29
Reliability Estimates
Stability
Equivalence
Internal
ConsistencySlide30
Reliability Estimates
Stability
Internal
Consistency
EquivalenceSlide31
Summary of Reliability EstimatesSlide32
Practicality
Economy
Interpretability
ConvenienceSlide33
Key Terms
Internal validity
Interval scale
Mapping rules
Measurement
Nominal scale
Objects
Ordinal scale
Practicality
Properties
Ratio scale
Reliability
Equivalence
Internal consistency
Stability
Validity
Construct
Contents
Criterion-related
11-
33Slide34
Additional Discussion opportunities
Chapter 11Slide35
Snapshot: Tivo Households
Emmy winning shows
Ad-skipping behaviors
View involvement increases
ad skippingSlide36
Snapshot: Talent Analytics
“Initially, many [HR] assessments were used primarily for pre-hire selection; today, assessment providers offer strategic resources for global organizations that want to build their overall knowledge of their employees beyond hiring—for development, promotion, internal mobility and succession planning.”Slide37
Pull Quote
“The only man who behaved sensibly was
my tailor; he took my measurement anew
every time he saw me, while all the rest
went on with their old measurements and
expected them to fit me.”
George Bernard Shaw
playwright and essayistSlide38
PulsePoint: Research
Revelation
32.5
The percent of corporations using or planning to use cloud computing—using software and server space via Internet sources.Slide39
Measurement
Chapter 11Slide40
Photo Attributions
Slide
Source
9
©Author's Image/
PunchStock
13
Burke/
Triolo
Pruductions
15
Florian
Franke
/
Purestock
/
SuperStock
23
PhotoLink
/Getty Images
35
©Siri Stafford/Digital Vision/Getty Images
36
Chris Ryan/Getty Images