What is a Number?. What is a number? Names and symbols are arbitrary.

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What is a Number?

Transcript of What is a Number?. What is a number? Names and symbols are arbitrary.

Page 1: What is a Number?. What is a number? Names and symbols are arbitrary.

What is a Number?

Page 2: What is a Number?. What is a number? Names and symbols are arbitrary.

What is a number?Names and symbols are arbitrary.

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What is a number?Names and symbols are arbitrary.

Four…. IV …. 4….

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What is a number?Names and symbols are arbitrary.

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Numbers that are not numbers….

0

http://en.wikipedia.org/wiki/0_%28number%29

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Numbers that are not numbers…Some make the world go around.

e

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What is a number?Names and symbols are arbitrary.

Measurement:

“Rules for assigning numbers to objects (or concepts) to represent quantities of attributes.”

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What is a number?Names and symbols are arbitrary.

Measurement:

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What is a number?Names and symbols are arbitrary.

But to be a true number scale the symbolsmust follow some logical

and systematic arrangement.

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What is a number?Names and symbols are arbitrary.

Measurement:

“Standardized process of assigning symbols to objects according to certain prespeciified and

nondegenerating rules.”

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Is it possible to have an IQ of 160? But what does it mean?

160

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What is a number?Names and symbols are arbitrary.

Measurement:

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What is a number?Names and symbols are arbitrary.

Measurement:

“An object is never measured… only theobject’s attributes.”

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What is a number? Object characteristics.

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What is a number?

Scales:

“A scale is the continuum upon which measurements are located.”

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Zero degreescentigrade….

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So then what is this…..

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What is a number?

Scales:

Likert Scale

Ice cream is good for breakfast.1. Strongly disagree 2. Disagree 3. Neither agree nor disagree 4. Agree 5. Strongly agree

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What is a number?

Scales:

Likert Scale

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What is a number?

Scales:

Likert Scale

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What is a number?

Scales: Likert

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What is a number?

Scales:

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What is a number?

Scales:

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What is a number?

Semanticscales:

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What is a number?

Scales:

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What is a number?

Scales:

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What is a number?

But complex concepts in businessmay not be easily measured.

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What is a number?

But complex concepts in businessmay not be easily measured.

Harvard professor S.S. Stevenscreated scales to measure difficult

concepts.

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Stevens’ Scales

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Steven’s original paper in Science, 103(2684), June 7, 1946.

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Steven’s Scales:

Ratio

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Steven’s Scales: 1. Nominal Scales

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Steven’s Scales: 1. Nominal Scales

a. Name

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Steven’s Scales: 1. Nominal Scales

a. Nameb. Classify

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Steven’s Scales: 1. Nominal Scales

a. Nameb. Classify

c. Categorize

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Steven’s Scales: 1. Nominal Scales

a. Nameb. Classify

c. Categorize

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Steven’s Scales: 1. Nominal Scales2. Ordinal Scales

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Steven’s Scales: 1. Nominal Scales2. Ordinal Scales

Does everything a nominal scales does.Ranks objects or concepts by some

characteristic.

http://www.usatoday.com/sports/sagarin/fbt09.htm

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Steven’s Scales: 1. Nominal Scales2. Ordinal Scales 3. Interval scales

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Steven’s Scales: 1. Nominal Scales2. Ordinal Scales 3. Interval scales

Does everything an ordinal scale does.

Interval is now meaningful.

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Steven’s Scales: 1. Nominal Scales2. Ordinal Scales 3. Interval scales4. Ratio scales

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Steven’s Scales: 1. Nominal Scales2. Ordinal Scales 3. Interval scales4. Ratio scales

Has all the characteristics of all other scales, but it also has meaningful ratios. It has a true zero.

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http://www.fao.org/docrep/W3241E/w3241e04.htm

Good source:

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Steven’s Scales: 1. Nominal Scales2. Ordinal Scales X = f(x)3. Interval scales X = kx + c4. Ratio scales X = kx

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Which scale to use?1. Amount of information needed

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Which scale to use?1. Amount of information needed Each higher scale carries more information than the one before it.

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Which scale to use?1. Amount of information needed2. Characteristics of stimulus or concept

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Which scale to use?1. Amount of information needed2. Characteristics of stimulus or concept3. Application context

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Which scale to use?1. Amount of information needed2. Characteristics of stimulus or concept3. Application context4. Capacity of scale

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Which scale to use?1. Amount of information needed2. Characteristics of stimulus or concept3. Application context4. Capacity of scale5. Post-measurement analysis

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Which scale to use?1. Amount of information needed2. Characteristics of stimulus or concept3. Application context4. Capacity of scale5. Post-measurement analysis

Statistics are designed for specific typesof scales. Using the wrong scale will giveanswers that are nonsense.

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Measurement characteristics:

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Measurement characteristics:

Y = x(true) + x(sy-error) + x(random)

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Measurement characteristics:

Y = x(true) + x(sy-error) + x(random)

Systematic error can be eliminated.

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Measurement characteristics:

Y = x(true) + x(sy-error) + x(random)

Random error cannot be eliminated.

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Measurement characteristics:

Y = x(true) + x(sy-error) + x(random)

If a sample is taken to estimate an answer:another form of error is added……

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Measurement characteristics:

This is called a Sampling Error

Y = x(true) + x(sy-error) + x(random) + x(sampling error)

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You and a friend (in the same class) take thesame exam at the same time and

get different grades.

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WHY?

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Measurement characteristics:Validity

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Measurement characteristics:Validity1. Face

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Measurement characteristics:Validity1. Face2. Content

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Measurement characteristics:Validity1. Face2. Content3. Criteria

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Measurement characteristics:Validity1. Face2. Content3. Criteria

a. Concurrentb. Predictive

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Measurement characteristics:Validity1. Face2. Content3. Criteria

a. Concurrentb. Predictive

4. Construct

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Measurement characteristics:Validity1. Face2. Content3. Criteria

a. Concurrentb. Predictive

4. Construct

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Measurement characteristics:Validity1. Face2. Content3. Criteria

a. Concurrentb. Predictive

4. Constructa. Convergent

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Measurement characteristics:Validity1. Face2. Content3. Criteria

a. Concurrentb. Predictive

4. Constructa. Convergent

b. Divergent

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Measurement characteristics:Validity1. Face2. Content3. Criteria

a. Concurrentb. Predictive

4. Constructa. Convergent

b. Divergentc. Discriminant

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Measurement characteristics:Validity1. Face2. Content3. Criteria

a. Concurrentb. Predictive

4. Constructa. Convergent

b. Divergentc. Discriminant

d. Nomological

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Measurement characteristics:Reliability

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Measurement characteristics:Reliability1. Stability

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Measurement characteristics:Reliability1. Stability

a.Test-retestb. Equivalent forms

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Measurement characteristics:Reliability1. Stability

a.Test-retestb. Equivalent forms

2. Equivalence

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Measurement characteristics:Reliability1. Stability

a.Ttest-retestb. Equivalent forms

2. Equivalence a. Kuder-Richardsonb. Cronbach’s Alpha

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Measurement characteristics:Reliability1. Stability

a.Test-retestb. Equivalent forms

2. Equivalence a. Kuder-Richardsonb. Cronbach’s Alpha

Lee Cronbach

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Measurement characteristics:Reliability1. Stability

a.Test-retestb. Equivalent forms

2. Equivalence a. Kuder-Richardsonb. Cronbach’s Alpha

Learn, Effective, & Like the instructor

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Measurement characteristics:Reliability1. Stability

a.Test-retestb. Equivalent forms

2. Equivalence a. Kuder-Richardsonb. Cronbach’s Alpha

3. Inter-rater Consistencya. Krippendorff’s Alpha