measure. measure definition: definition: it is the demonstration of the existence of an homomorphism...
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MeasureMeasure
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MeasureMeasure
Definition:Definition:
It is the demonstration of the existence of an It is the demonstration of the existence of an homomorphism between an empirical relational homomorphism between an empirical relational structure and a numerical relational structurestructure and a numerical relational structure. .
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Numerical relational structure
<N, O>
MeasureMeasure
Empirical relational
structure
<M, R>
M = M = objectsobjects
R = relationsR = relations
N = N = numbersnumbers
O = operationsO = operations
HomomorphismHomomorphism
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Empirical relational structureEmpirical relational structureExample: LengthExample: Length
aa bb cc
M = M = (chalk a, chalk b, chalk c)(chalk a, chalk b, chalk c)
O = ( « concatenation », « longer than »)O = ( « concatenation », « longer than »)
b c ab c a
« « If we place chalks b and c over each If we place chalks b and c over each other, then the result will be greater other, then the result will be greater than chalk athan chalk a » »
cc
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Numerical relational structureNumerical relational structure Example: LengthExample: Length
N = N = (x, y, z) (x, y, z) O = (+ « addition », > « greater than »)O = (+ « addition », > « greater than »)
y+z>x = 5+3>7y+z>x = 5+3>7
N = N = (x, y, z) (x, y, z)
O = (+ « addition », > « greater than »)O = (+ « addition », > « greater than »)
y+z>x = 4+2>9y+z>x = 4+2>9
= (7, 5, 3)= (7, 5, 3)
= (9, 4, 2)= (9, 4, 2)
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HomomorphismHomomorphism
To link objects with numbersTo link objects with numbers
To link relations with operationsTo link relations with operations
ExampleExample
( ) 5
( ) 2
a x
b y
5 2 (Ordre)
7 5 2 (additif)
( ) ( ) ( )a b a b x y AdditiveAdditiveAssumption
s
OrderOrder ( ) ( )a b x y
(Order)
(Additive)
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HomomorphismHomomorphism
To link objects with numbersTo link objects with numbers
To link relations with operationsTo link relations with operations
,
, ; ,
, , , = Structure relationnelle empirique
M R
a b M R
a b
,
, ; ,
, , , = Structure relationnelle numérique
N O
x y N O
x y
, , ,
, , ,
a b
x y
Numerical relational structure
Empirical relational structure
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ScalesScales
The freedom available to construct my scale will determine its type.
The less the freedom in choice of scale, the more powerful it will be
RatioRatio
OrdinalOrdinal
IntervalInterval NominalNominal
Power
Power
ParametricParametric Non parametricNon parametric
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Ordinal scaleOrdinal scale
aa bb cc
Definition: uses number to order objectsDefinition: uses number to order objects
( ) 20
( ) 15
( ) 2
20 15 2
a
b
c
( ) 3
( ) 2
( ) 1
3 2 1
a
b
c
( ) ( ) ( )a b c
Nonlinearity assumptionNonlinearity assumption
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Ordinal scaleOrdinal scaleExampleExample
Time
Perf
orm
ance
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Interval scaleInterval scaleDefinition: uses number to order objects Definition: uses number to order objects and the distance and the distance between each attribute is constant.between each attribute is constant.
Example: conversion of Example: conversion of Celsius (Celsius (xx) into) into Fahrenheit ( Fahrenheit (yy))
yy=9/5*=9/5*xx+32+32
Interval of 5Interval of 5ºCºC
xx11=5 and x=5 and x22=10=10
OrOr
xx11=20 and x=20 and x22=25=25
Linearity assumption: fLinearity assumption: f((xx)=m)=mxx+b+b
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Interval scaleInterval scaleExample: conversion of Celsius (Example: conversion of Celsius (xx) into Fahrenheit () into Fahrenheit (yy))
yy=9/5*=9/5*xx+32+32
Interval of 5ºInterval of 5ºCC
xx11=5 and x=5 and x22=10=10(x(x22-x-x11=10-5=5)=10-5=5)
=> y=> y11=41 and y=41 and y22=50=50(y(y22-y-y11=50-41=9)=50-41=9)
OrOrxx11=20 and x=20 and x22=25=25(x(x22-x-x11=25-20=5)=25-20=5)
=> y=> y11=68 and =68 and yy22=77=77(y(y22-y-y11=77-68=9)=77-68=9)
WarningWarning
If we double the ºC we do not double the ºF
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RatioRatioDefinition: uses number to order objects, the distance between Definition: uses number to order objects, the distance between each attribute is constant each attribute is constant and the zero is “meaningful”and the zero is “meaningful”..
Example: the distance Example: the distance traveled (y) in function of traveled (y) in function of time (x)time (x)
yy=100*=100*xx
Linearity assumption: fLinearity assumption: f((xx)=m)=mxx
Time (hours)
Dis
tance
(K
m)