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Chapter-13
Measurement and Scaling
Concepts
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
EXHIBIT 13.1 More Ways Than 1 to Measure Things
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
What Do I Measure?
• Measurement
 The process of describing some property of a
phenomenon, usually by assigning numbers in a
reliable and valid way.
• Concept
 A generalized idea about a class of objects,
attributes, occurrences, or processes
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
EXHIBIT 13.2 Are There Any Validity Issues with this Measurement?
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Operational Definitions
• Operationalization
 The process of identifying scales that correspond to
variance in a concept involved in a research process.
• Scales
 A device providing a range of values that correspond
to different characteristics or amounts of a
characteristic exhibited in observing a concept.
• Correspondence rules
 Indicate the way that a certain value on a scale
corresponds to some true value of a concept.
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Operational Definitions (cont’d)
• Variable
 Anything that varies or changes from one instance to
another; can exhibit differences in value, usually in
magnitude or strength, or in direction.
 Capture different values of a concept.
• Constructs
 Concepts measured with multiple variables.
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
EXHIBIT 13.3 Susceptibility to Interpersonal Influence: An Operational Definition
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Concept behind scaling
• Scales are developed based on three aspects:
 Order : Numbers (categories) are ordered
 Distance : Difference between numbers (categories)
are ordered and quantifiable. For our purposes and
most of practical purposes we assume this difference
is same.
 Origin : The series has a unique origin which is
indicated by the number zero.
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Levels of Scale Measurement
• Nominal
 No order, distance and origin.
 Assigns a value to an object for identification or
classification purposes.
 Most elementary level of measurement.
• Ordinal
 There is order, but no distance and origin
 Ranking scales allowing things to be arranged based
on how much of some concept they possible.
 Have nominal properties.
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Levels of Scale Measurement (cont’d)
• Interval
 There are order and distance, but no origin
 Capture information about differences in quantities of
a concept.
 Have both nominal and ordinal properties.
• Ratio
 There are order, distance and origin.
 Highest form of measurement.
 Have all the properties of interval scales with the
additional attribute of representing absolute
quantities.
 Absolute zero.
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
EXHIBIT 13.4 Nominal, Ordinal, Interval, and Ratio Scales Provide Different Information
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
EXHIBIT 13.5 Facts About the Four Levels of Scales
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Mathematical and Statistical Analysis of
Scales
• Discrete Measures
 Measures that can take on only one of a finite number
of values.
• Continuous Measures
 Measures that reflect the intensity of a concept by
assigning values that can take on any value along
some scale range.
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Index Measures
• Attributes
 Single characteristics or fundamental features that
pertain to an object, person, or issue.
• Index Measures
 Assign a value based on how much of the concept
being measured is associated with an observation.
 Indexes often are formed by putting several variables
together.
• Composite Measures
 Assign a value to an observation based on a
mathematical derivation of multiple variables.
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Computing Scale Values
• Summated Scale
 A scale created by simply summing (adding together)
the response to each item making up the composite
measure.
• Reverse Coding
 Means that the value assigned for a response is
treated oppositely from the other items.
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
EXHIBIT 13.6 Computing a Composite Scale
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Three Criteria for Good Measurement
Sensitivity
Reliability Validity
Good
Measurement
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Reliability
• Reliability
 The degree to which measures are free from random
error and therefore yield consistent results.
 An indicator of a measure’s internal consistency.
• Internal Consistency
 Represents a measure’s homogeneity or the extent to
which each indicator of a concept converges on some
common meaning.
 Measured by correlating scores on subsets of items
making up a scale.
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Internal Consistency
• Split-half Method
 Assessing internal consistency by checking the
results of one-half of a set of scaled items against the
results from the other half.
• Coefficient alpha (α)
 The most commonly applied estimate of a multiple
item scale’s reliability.
 Represents the average of all possible split-half
reliabilities for a construct.
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Test-Retest Reliability
• Test-retest Method
 Administering the same scale or measure to the same
respondents at two separate points in time to test for
stability.
 Represents a measure’s repeatability.
• Problems:
 The pre-measure, or first measure, may sensitize the
respondents and subsequently influence the results of
the second measure.
 Time effects that produce changes in attitude or other
maturation of the subjects.
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Validity
• Validity
 The accuracy of a measure or the extent to which a
score truthfully represents a concept.
 Does a scale measure what was intended to be measured?
• Establishing Validity:
 Is there a consensus that the scale measures what it
is supposed to measure?
 Does the measure correlate with other measures of
the same concept?
 Does the behavior expected from the measure predict
actual observed behavior?
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Validity (cont’d)
• Face Validity
 A scale’s content logically appears to reflect what was intended
to be measured.
• Content Validity
 The degree that a measure covers the breadth of the domain of
interest.
• Criterion Validity
 The ability of a measure to correlate with other standard
measures of similar constructs or established criteria.
• Construct Validity
 Exists when a measure reliably measures and truthfully
represents a unique concept.
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Validity (cont’d)
• Convergent Validity
 Another way of expressing internal consistency;
highly reliable scales contain convergent validity.
• Discriminant Validity
 Represents how unique or distinct is a measure; a
scale should not correlate too highly with a measure
of a different construct.
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
EXHIBIT 13.7 Reliability and Validity on Target
© 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
Sensitivity
• Sensitivity
 A measurement instrument’s ability to accurately
measure variability in stimuli or responses.
 Generally increased by adding more response points
or adding scale items.

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13 measurement & scaling

  • 1. Chapter-13 Measurement and Scaling Concepts © 2016 Cengage Learning India Pvt. Ltd. All rights reserved.
  • 2. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. EXHIBIT 13.1 More Ways Than 1 to Measure Things
  • 3. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. What Do I Measure? • Measurement  The process of describing some property of a phenomenon, usually by assigning numbers in a reliable and valid way. • Concept  A generalized idea about a class of objects, attributes, occurrences, or processes
  • 4. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. EXHIBIT 13.2 Are There Any Validity Issues with this Measurement?
  • 5. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Operational Definitions • Operationalization  The process of identifying scales that correspond to variance in a concept involved in a research process. • Scales  A device providing a range of values that correspond to different characteristics or amounts of a characteristic exhibited in observing a concept. • Correspondence rules  Indicate the way that a certain value on a scale corresponds to some true value of a concept.
  • 6. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Operational Definitions (cont’d) • Variable  Anything that varies or changes from one instance to another; can exhibit differences in value, usually in magnitude or strength, or in direction.  Capture different values of a concept. • Constructs  Concepts measured with multiple variables.
  • 7. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. EXHIBIT 13.3 Susceptibility to Interpersonal Influence: An Operational Definition
  • 8. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Concept behind scaling • Scales are developed based on three aspects:  Order : Numbers (categories) are ordered  Distance : Difference between numbers (categories) are ordered and quantifiable. For our purposes and most of practical purposes we assume this difference is same.  Origin : The series has a unique origin which is indicated by the number zero.
  • 9. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Levels of Scale Measurement • Nominal  No order, distance and origin.  Assigns a value to an object for identification or classification purposes.  Most elementary level of measurement. • Ordinal  There is order, but no distance and origin  Ranking scales allowing things to be arranged based on how much of some concept they possible.  Have nominal properties.
  • 10. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Levels of Scale Measurement (cont’d) • Interval  There are order and distance, but no origin  Capture information about differences in quantities of a concept.  Have both nominal and ordinal properties. • Ratio  There are order, distance and origin.  Highest form of measurement.  Have all the properties of interval scales with the additional attribute of representing absolute quantities.  Absolute zero.
  • 11. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. EXHIBIT 13.4 Nominal, Ordinal, Interval, and Ratio Scales Provide Different Information
  • 12. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. EXHIBIT 13.5 Facts About the Four Levels of Scales
  • 13. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Mathematical and Statistical Analysis of Scales • Discrete Measures  Measures that can take on only one of a finite number of values. • Continuous Measures  Measures that reflect the intensity of a concept by assigning values that can take on any value along some scale range.
  • 14. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Index Measures • Attributes  Single characteristics or fundamental features that pertain to an object, person, or issue. • Index Measures  Assign a value based on how much of the concept being measured is associated with an observation.  Indexes often are formed by putting several variables together. • Composite Measures  Assign a value to an observation based on a mathematical derivation of multiple variables.
  • 15. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Computing Scale Values • Summated Scale  A scale created by simply summing (adding together) the response to each item making up the composite measure. • Reverse Coding  Means that the value assigned for a response is treated oppositely from the other items.
  • 16. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. EXHIBIT 13.6 Computing a Composite Scale
  • 17. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Three Criteria for Good Measurement Sensitivity Reliability Validity Good Measurement
  • 18. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Reliability • Reliability  The degree to which measures are free from random error and therefore yield consistent results.  An indicator of a measure’s internal consistency. • Internal Consistency  Represents a measure’s homogeneity or the extent to which each indicator of a concept converges on some common meaning.  Measured by correlating scores on subsets of items making up a scale.
  • 19. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Internal Consistency • Split-half Method  Assessing internal consistency by checking the results of one-half of a set of scaled items against the results from the other half. • Coefficient alpha (α)  The most commonly applied estimate of a multiple item scale’s reliability.  Represents the average of all possible split-half reliabilities for a construct.
  • 20. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Test-Retest Reliability • Test-retest Method  Administering the same scale or measure to the same respondents at two separate points in time to test for stability.  Represents a measure’s repeatability. • Problems:  The pre-measure, or first measure, may sensitize the respondents and subsequently influence the results of the second measure.  Time effects that produce changes in attitude or other maturation of the subjects.
  • 21. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Validity • Validity  The accuracy of a measure or the extent to which a score truthfully represents a concept.  Does a scale measure what was intended to be measured? • Establishing Validity:  Is there a consensus that the scale measures what it is supposed to measure?  Does the measure correlate with other measures of the same concept?  Does the behavior expected from the measure predict actual observed behavior?
  • 22. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Validity (cont’d) • Face Validity  A scale’s content logically appears to reflect what was intended to be measured. • Content Validity  The degree that a measure covers the breadth of the domain of interest. • Criterion Validity  The ability of a measure to correlate with other standard measures of similar constructs or established criteria. • Construct Validity  Exists when a measure reliably measures and truthfully represents a unique concept.
  • 23. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Validity (cont’d) • Convergent Validity  Another way of expressing internal consistency; highly reliable scales contain convergent validity. • Discriminant Validity  Represents how unique or distinct is a measure; a scale should not correlate too highly with a measure of a different construct.
  • 24. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. EXHIBIT 13.7 Reliability and Validity on Target
  • 25. © 2016 Cengage Learning India Pvt. Ltd. All rights reserved. Sensitivity • Sensitivity  A measurement instrument’s ability to accurately measure variability in stimuli or responses.  Generally increased by adding more response points or adding scale items.