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The Levels of Measurement
 Nominal
 Ordinal
 Interval
 Ratio
Some Definitions
Variable
Some Definitions
Variable
Attribute Attribute
Some Definitions
GenderVariable
Attribute Attribute
Some Definitions
Gender
Female Male
Variable
Attribute Attribute
Qualities of Variables
 Exhaustive -- Should include all possible
answerable responses.
 Mutually exclusive -- No respondent
should be able to have two attributes
simultaneously (for example, employed
vs. unemployed -- it is possible to be
both if looking for a second job while
employed).
What Is Level of Measurement?
The relationship of the values that are
assigned to the attributes for a variable
What Is Level of Measurement?
The relationship of the values that are
assigned to the attributes for a variable
Relationship
What Is Level of Measurement?
The relationship of the values that are
assigned to the attributes for a variable
1 2 3
Relationship
Values
What Is Level of Measurement?
The relationship of the values that are
assigned to the attributes for a variable
1 2 3
Relationship
Values
Attributes Republican Independent Democrat
What Is Level of Measurement?
The relationship of the values that are
assigned to the attributes for a variable
1 2 3
Relationship
Values
Attributes
Variable
UNP SLFP JVP
Party Affiliation
Why Is Level of Measurement
Important?
 Helps you decide what statistical analysis
is appropriate on the values that were
assigned
 Helps you decide how to interpret the
data from that variable
Nominal Measurement
 The values “name” the attribute
uniquely.
Nominal Measurement
 The values “name” the attribute
uniquely.
 The name does not imply any ordering
of the cases.
Nominal Measurement
 The values “name” the attribute
uniquely.
 The value does not imply any ordering
of the cases, for example, jersey
numbers in football.
Nominal Measurement
 The values “name” the attribute
uniquely.
 The value does not imply any ordering
of the cases, for example, jersey
numbers in football.
 Even though player 32 has higher
number than player 19, you can’t say
from the data that he’s greater than or
more than the other.
Ordinal Measurement
When attributes can be rank-ordered…
Ordinal Measurement
When attributes can be rank-ordered…
 Distances between attributes do not
have any meaning.
Ordinal Measurement
When attributes can be rank-ordered…
 Distances between attributes do not
have any meaning,for example, code
Educational Attainment as 0=less than
H.S.; 1=some H.S.; 2=H.S. degree;
3=some college; 4=college degree;
5=post college
Ordinal Measurement
When attributes can be rank-ordered…
 Distances between attributes do not
have any meaning,for example, code
Educational Attainment as 0=less than
H.S.; 1=some H.S.; 2=H.S. degree;
3=some college; 4=college degree;
5=post college
Is the distance from 0 to 1 the same as 3
to 4?
Interval Measurement
When distance between attributes has
meaning…
Interval Measurement
When distance between attributes has
meaning, for example, temperature (in
Fahrenheit) -- distance from 30-40 is
same as distance from 70-80
Interval Measurement
When distance between attributes has
meaning, for example, temperature (in
Fahrenheit) -- distance from 30-40 is
same as distance from 70-80
 Note that ratios don’t make any sense --
80 degrees is not twice as hot as 40
degrees (although the attribute values
are).
Ratio Measurement
 Has an absolute zero that is meaningful
Ratio Measurement
 Has an absolute zero that is meaningful
 Can construct a meaningful ratio
(fraction)
Ratio Measurement
 Has an absolute zero that is meaningful
 Can construct a meaningful ratio
(fraction), for example, number of clients
in past six months
Ratio Measurement
 Has an absolute zero that is meaningful
 Can construct a meaningful ratio
(fraction), for example, number of clients
in past six months
 It is meaningful to say that “...we had
twice as many clients in this period as
we did in the previous six months.
The Hierarchy of Levels
Nominal
The Hierarchy of Levels
Nominal Attributes are only named; weakest
The Hierarchy of Levels
Nominal Attributes are only named; weakest
Ordinal
The Hierarchy of Levels
Nominal Attributes are only named; weakest
Attributes can be orderedOrdinal
The Hierarchy of Levels
Nominal
Interval
Attributes are only named; weakest
Attributes can be orderedOrdinal
The Hierarchy of Levels
Nominal
Interval
Attributes are only named; weakest
Attributes can be ordered
Distance is meaningful
Ordinal
The Hierarchy of Levels
Nominal
Interval
Ratio
Attributes are only named; weakest
Attributes can be ordered
Distance is meaningful
Ordinal
The Hierarchy of Levels
Nominal
Interval
Ratio
Attributes are only named; weakest
Attributes can be ordered
Distance is meaningful
Absolute zero
Ordinal
Thank You !

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Level of measurement by slsmls

  • 1. Sri Lanka Society For Medical Laboratory Science Medicallaboratoryscience.sl@gmail.com
  • 2. The Levels of Measurement  Nominal  Ordinal  Interval  Ratio
  • 7. Qualities of Variables  Exhaustive -- Should include all possible answerable responses.  Mutually exclusive -- No respondent should be able to have two attributes simultaneously (for example, employed vs. unemployed -- it is possible to be both if looking for a second job while employed).
  • 8. What Is Level of Measurement? The relationship of the values that are assigned to the attributes for a variable
  • 9. What Is Level of Measurement? The relationship of the values that are assigned to the attributes for a variable Relationship
  • 10. What Is Level of Measurement? The relationship of the values that are assigned to the attributes for a variable 1 2 3 Relationship Values
  • 11. What Is Level of Measurement? The relationship of the values that are assigned to the attributes for a variable 1 2 3 Relationship Values Attributes Republican Independent Democrat
  • 12. What Is Level of Measurement? The relationship of the values that are assigned to the attributes for a variable 1 2 3 Relationship Values Attributes Variable UNP SLFP JVP Party Affiliation
  • 13. Why Is Level of Measurement Important?  Helps you decide what statistical analysis is appropriate on the values that were assigned  Helps you decide how to interpret the data from that variable
  • 14. Nominal Measurement  The values “name” the attribute uniquely.
  • 15. Nominal Measurement  The values “name” the attribute uniquely.  The name does not imply any ordering of the cases.
  • 16. Nominal Measurement  The values “name” the attribute uniquely.  The value does not imply any ordering of the cases, for example, jersey numbers in football.
  • 17. Nominal Measurement  The values “name” the attribute uniquely.  The value does not imply any ordering of the cases, for example, jersey numbers in football.  Even though player 32 has higher number than player 19, you can’t say from the data that he’s greater than or more than the other.
  • 18. Ordinal Measurement When attributes can be rank-ordered…
  • 19. Ordinal Measurement When attributes can be rank-ordered…  Distances between attributes do not have any meaning.
  • 20. Ordinal Measurement When attributes can be rank-ordered…  Distances between attributes do not have any meaning,for example, code Educational Attainment as 0=less than H.S.; 1=some H.S.; 2=H.S. degree; 3=some college; 4=college degree; 5=post college
  • 21. Ordinal Measurement When attributes can be rank-ordered…  Distances between attributes do not have any meaning,for example, code Educational Attainment as 0=less than H.S.; 1=some H.S.; 2=H.S. degree; 3=some college; 4=college degree; 5=post college Is the distance from 0 to 1 the same as 3 to 4?
  • 22. Interval Measurement When distance between attributes has meaning…
  • 23. Interval Measurement When distance between attributes has meaning, for example, temperature (in Fahrenheit) -- distance from 30-40 is same as distance from 70-80
  • 24. Interval Measurement When distance between attributes has meaning, for example, temperature (in Fahrenheit) -- distance from 30-40 is same as distance from 70-80  Note that ratios don’t make any sense -- 80 degrees is not twice as hot as 40 degrees (although the attribute values are).
  • 25. Ratio Measurement  Has an absolute zero that is meaningful
  • 26. Ratio Measurement  Has an absolute zero that is meaningful  Can construct a meaningful ratio (fraction)
  • 27. Ratio Measurement  Has an absolute zero that is meaningful  Can construct a meaningful ratio (fraction), for example, number of clients in past six months
  • 28. Ratio Measurement  Has an absolute zero that is meaningful  Can construct a meaningful ratio (fraction), for example, number of clients in past six months  It is meaningful to say that “...we had twice as many clients in this period as we did in the previous six months.
  • 29. The Hierarchy of Levels Nominal
  • 30. The Hierarchy of Levels Nominal Attributes are only named; weakest
  • 31. The Hierarchy of Levels Nominal Attributes are only named; weakest Ordinal
  • 32. The Hierarchy of Levels Nominal Attributes are only named; weakest Attributes can be orderedOrdinal
  • 33. The Hierarchy of Levels Nominal Interval Attributes are only named; weakest Attributes can be orderedOrdinal
  • 34. The Hierarchy of Levels Nominal Interval Attributes are only named; weakest Attributes can be ordered Distance is meaningful Ordinal
  • 35. The Hierarchy of Levels Nominal Interval Ratio Attributes are only named; weakest Attributes can be ordered Distance is meaningful Ordinal
  • 36. The Hierarchy of Levels Nominal Interval Ratio Attributes are only named; weakest Attributes can be ordered Distance is meaningful Absolute zero Ordinal