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M e a s u r e m e n t.

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Presentation on theme: "M e a s u r e m e n t."— Presentation transcript:

1 M e a s u r e m e n t

2 Hard: concrete concepts Soft : abstract concepts (construct)
What is Measurement? DATA: Hard: concrete concepts Soft : abstract concepts (construct)

3 Alternative definition
Measurement is the process of linking abstract concepts to empirical indicants. Zellar & Carmines

4 Concepts Indicants Weight Distance Depression Test anxiety
Marital satisfaction Pounds/grams/tons meters, kilometers ?????

5 Some Definitions Variable

6 Some Definitions Variable Attribute

7 Some Definitions Variable Gender Attribute

8 Some Definitions Variable Gender Attribute Female Male

9 Qualities of Variables
exhaustive - should include all possible answerable responses mutually exclusive - no respondent should be able to have two attributes simultaneously (e.g., employed vs. unemployed - it is possible to be both if looking for a second job while employed)

10 Levels of Measurement

11 The Levels of Measurement
Nominal Ordinal Interval Ratio

12 Nominal Measurement the values just “name” the attribute uniquely

13 Nominal Measurement the values just “name” the attribute uniquely
does not imply any ordering of the cases

14 Nominal Measurement the values just “name” the attribute uniquely
does not imply any ordering of the cases for example, jersey numbers in football

15 Nominal Measurement the values just “name” the attribute uniquely
does not imply any ordering of the cases for example, jersey numbers in football even though player 10 has higher number than player 5, you can’t say from the data that he’s greater than or more than the other

16 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=H.S. degree 3=M.S. degree 4=Phd degree is distance from 0 to 1 same as 3 to 4?

17 Interval Measurement when distance between attributes has meaning

18 Interval Measurement when distance between attributes has meaning
for example, temperature (in Fahrenheit) - distance from is same as distance from 70-80

19 Interval Measurement when distance between attributes has meaning
for example, temperature (in Fahrenheit) - distance from is same as distance from 70-80 but note that ratios don’t make any sense - 80 degrees is not twice as hot as 40 degrees (although the attribute values are)

20 Ratio Measurement has an absolute zero that is meaningful

21 Ratio Measurement has an absolute zero that is meaningful
can construct a meaningful ratio (fraction)

22 Ratio Measurement has an absolute zero that is meaningful
can construct a meaningful ratio (fraction) for example,number of clients in past six months

23 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

24 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 interpet the data from that variable

25 The Hierarchy of Levels
Nominal

26 The Hierarchy of Levels
Nominal Attributes are only named; weakest

27 The Hierarchy of Levels
Ordinal Nominal Attributes are only named; weakest

28 The Hierarchy of Levels
Ordinal Attributes can be ordered Nominal Attributes are only named; weakest

29 The Hierarchy of Levels
Interval Ordinal Attributes can be ordered Nominal Attributes are only named; weakest

30 The Hierarchy of Levels
Interval Distance is meaningful Ordinal Attributes can be ordered Nominal Attributes are only named; weakest

31 The Hierarchy of Levels
Ratio Interval Distance is meaningful Ordinal Attributes can be ordered Nominal Attributes are only named; weakest

32 The Hierarchy of Levels
Ratio Absolute zero Interval Distance is meaningful Ordinal Attributes can be ordered Nominal Attributes are only named; weakest

33 Scales and Scaling

34 General Issues in Scaling

35 What is a scale? the assignment...

36 What is a scale? the assignment... ...of objects...
Are you willing to permit immigrants to live in your country? Are you willing to permit immigrants to live in your neighborhood? Would you let your child marry an immigrant?

37 What is a scale? the assignment... ...of objects... ...to numbers...
Are you willing to permit immigrants to live in your country? Are you willing to permit immigrants to live in your neighborhood? Would you let your child marry an immigrant?

38 What is a scale? the assignment... ...of objects... ...to numbers...
Are you willing to permit immigrants to live in your country? Are you willing to permit immigrants to live in your neighborhood? Would you let your child marry an immigrant? ...according to a rule...

39 What is a scale? the assignment... ...of objects... ...to numbers...
Are you willing to permit immigrants to live in your country? Are you willing to permit immigrants to live in your neighborhood? Would you let your child marry an immigrant? cumulative ...according to a rule...

40 Scale versus Response Scale

41 Scale versus Response Scale
results from a process

42 Scale versus Response Scale
is used to collect the response for an item results from a process

43 Scale versus Response Scale
is used to collect the response for an item results from a process each item on scale has a scale value

44 Scale versus Response Scale
is used to collect the response for an item results from a process each item on scale has a scale value item not associated with a scale value

45 Scale versus Response Scale
is used to collect the response for an item results from a process each item on scale has a scale value item not associated with a scale value refers to a set of items

46 Scale versus Response Scale
is used to collect the response for an item results from a process each item on scale has a scale value item not associated with a scale value refers to a set of items used for a single item

47 Purposes of Scaling hypothesis testing
is the construct or concept a single dimensional one? what dimensions underlie some ratings? for assigning values to responses exploration scoring

48 Dimensionality One-dimensional Constructs

49 Dimensionality One-dimensional Constructs height

50 Dimensionality One-dimensional Constructs height shorter taller

51 Dimensionality One-dimensional Constructs height shorter taller thirst

52 Dimensionality One-dimensional Constructs height thirst shorter taller
less thirsty more thirsty

53 Dimensionality One-dimensional Constructs height thirst self esteem
shorter taller thirst less thirsty more thirsty self esteem

54 Dimensionality One-dimensional Constructs height thirst self esteem
shorter taller thirst less thirsty more thirsty self esteem less more

55 Dimensionality Two-dimensional Construct

56 Dimensionality Two-dimensional Construct academic ability

57 Dimensionality Two-dimensional Construct academic ability verbal

58 Dimensionality Two-dimensional Construct academic ability verbal worse
better

59 Dimensionality quantitative Two-dimensional Construct academic ability
verbal worse better

60 Dimensionality quantitative Two-dimensional Construct academic ability
better academic ability verbal worse better worse

61 Dimensionality Three-dimensional Construct

62 Dimensionality Three-dimensional Construct

63 Dimensionality semantic differential (meaning)
Three-dimensional Construct

64 Dimensionality semantic differential (meaning)
Three-dimensional Construct evaluation

65 Dimensionality semantic differential (meaning)
Three-dimensional Construct evaluation unfavorable favorable

66 Dimensionality semantic differential (meaning)
Three-dimensional Construct potency evaluation unfavorable favorable

67 Dimensionality semantic differential (meaning)
Three-dimensional Construct potency powerful evaluation powerless unfavorable favorable

68 Dimensionality semantic differential (meaning)
Three-dimensional Construct activity potency powerful evaluation powerless unfavorable favorable

69 Dimensionality semantic differential Three-dimensional Construct
active activity potency powerful evaluation passive powerless unfavorable favorable

70 Types of Scales Unidimensional Multidimensional easier to understand
usefule for understanding multidimensional many concepts may be unidimensional reflect multiple properties simultaneously Multidimensional

71 The Major Unidimensional Scale Types
Thurstone Likert Guttman

72


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