SlideShare une entreprise Scribd logo
1  sur  32
Measurement & Scaling
Deepika(01)
Pratiksha(09)
Pragati(13)
Neha(15)
Harsha(33)
Naina(31)
Yashraj(38)
•Agenda
What is Measurement and Scaling?
Types of Measurement Scales
Criteria for Good Measurement
1
2
3
4
Scaling Techniques
Measurement
• Researcher must follow rules.
• Reasons for which numbers are usually
assigned:
• Permit statistical analysis for resulting
data.
• Measurement results
What is Measurement and Scaling?
•Introduction
Scaling
• Eg: scale satisfaction level from 1 to 11
• Measurement is actual assignment of
numbers
• Scaling is process of placing the respondent
on a continuum.
What is Measurement and Scaling?
•Introduction
Types of
Measurement
Scales
Nominal
Ratio
Interval
Ordinal
• Lowest level of measurement.
• Numbers are assigned to the identification of an
objects.
• One-to-one correspondence between the number and
objects.
Nominal Scale
• Q. What is your religion?
• 1.Hindusim
• 2.Sikhism
• 3.Christian
• 4.Islam
Number can not be added ,divided ,subtracted or
multiplied.
In Nominal Scale one can compute :-suare Frequency
distribution, Mode, Chi-square test
Example:
• Next higher level of measurement.
• The Ordinal scale measurement tells whether an
object has more or less characteristics than other but
it can not tell how much more or less.
• It includes quality ranking, ranking of the teams in
tournament, socio-economic class etc.
• One can compute: Median, percentile, quartiles of the
distribution.
•Ordinal Scale
• It takes care of the limitations of ordinal scale.
• There is no absolute zero.
• Difference in 2 adjacent value is constant.
• Technically, numbers on an interval scale can be added
and subtracted but not divided and multiplied.
• All the techniques applicable to the previous scales is
also applicable to interval scale.
•Interval Scale
• This is the highest level of measurement takes care of all the
limitations of all other scales.
• Numbers on these scales have meaningful interpretation.
• Ratio scale can be converted into other 3 scales but the vice-
versa is not possible.
• This is the only scale which has a Zero.
•Ratio Scale
6’5” 5’4”5’3” 6’4” 5’11”5’10”
•Scaling Techniques
Likert
Semantic
Differential
Stapel
Scaling Techniques
Non-comparative
Scales
Comparative
Scales
Paired
Comparison
Rank
Order
Constant
Sum
Q- Sort Continuous Rating
scale
Itemized rating
scale
• Direct stimulus of object
• Relative in nature
• Non-metric scaling
•Comparative scaling technique
Eg: Preference for Toothpaste Brands Using Rank Order
Scaling
• Brand Rank Order
• 1. Crest _________
• 2. Colgate _________
• 3. Close up _________
• 4. Pepsodent _________
• 5. Sensodyne _________
•Rank order comparison
Eg: Importance of Bathing Soap Attributes
Using a Constant Sum Scaling
Attribute Points
• 1. Mildness 8
• 2. Lather 2
• 3. Shrinkage 3
• 4. Price 53
• 5. Fragrance 9
• 6. Packaging 7
• 7. Moisturizing 5
• 8. Cleaning Power 13
Sum 100
•Constant Sum Scaling
Eg: Obtaining Shampoo Preferences Using Paired
Comparisons
Recording form: Head & shoulder Clinic plus Dove
Head & shoulder 0 1
Clinic plus 1 1
Dove 0 0
No. of times 1 0 2
preferred
•Paired Comparison
• It discriminates among large number of objects
• Ordinal in nature
• Time consuming
• Expensive
•Q-sort Technique
•Non-Comparative Technique
Continuous
rating
Itemised
rating
•Continuous rating
Allows the respondent to place a mark at any point among a line
running between two extreme points
Also called graphic rating scale.
Has metric scaling
It has interval or ratio scale
Can be expressed using diagrams, smiley and scale
•Itemized Rating
In this respondents are
provided with a scale that
has a number of brief
descriptions associated
with each response
categories.
Issues to be kept in mind :
•No of catergories to be used
•Odd or even categories
•Balanced v/s unbalanced scales
•Nature and degree of verbal
description
•Forced v/s non forced scales
•Physical form
It includes
•Likert
•Semantic diffrentiation
•Stapel
•Likert scale
Named after Mr. Rensis Likert
Range of categories from strongly disagree to strongly
agree
Also called summated scale
It takes longer to complete
•Semantic Differentiation
Used to compare images of competing
brands or services.
Respondent is required to rate each
attitude on a number of 5- 7 pt rating
scale
+ve and –ve descriptions can simetimes
switch places - reduces tendency to just
mark 1 side
•Stapel Scaling
Ian stapel developed it
Its presented vertically
with an adjective in
the middle and five
data points abv and
five data point below.
No zero point is
offered.
•Criteria for Good Measurement
Validity Reliability Sensitivity
• It refers to the whether we are measuring what
we want to.
•Validity
Content
• Subjective Judgment for assessing the appropriateness of
the construct.
Concurrent
• Measures the validity of new measuring techniques by
correlating them to the established techniques.
Predictive
• The ability of one phenomenon at that point of time to
measure another phenomenon at a future point of time.
•Reliability
Its concerned with consistency, accuracy and
predictability of the scale.
It refers to the extent to which a measurement
process is free from random errors.
I. Test –retest II. Split-Half
•Sensitivity
It refers to
instrument’s ability
to measure the
variability in a
concept.
Sensitivity can be
increased by adding
questions or items
to the scale.
Instead of only
Agree and Disagree
we can add strongly
agree and strongly
disagree to the scale
Measurement and Scaling

Contenu connexe

Tendances

Business Research Methods. data collection preparation and analysis
Business Research Methods. data collection preparation and analysisBusiness Research Methods. data collection preparation and analysis
Business Research Methods. data collection preparation and analysis
Ahsan Khan Eco (Superior College)
 
Bivariate analysis
Bivariate analysisBivariate analysis
Bivariate analysis
ariassam
 
Testing of hypothesis
Testing of hypothesisTesting of hypothesis
Testing of hypothesis
Jags Jagdish
 

Tendances (20)

Measurement Scales in Research
Measurement Scales in Research Measurement Scales in Research
Measurement Scales in Research
 
Scaling technique
Scaling techniqueScaling technique
Scaling technique
 
Measurement & scaling ,Research methodology
    Measurement & scaling ,Research methodology    Measurement & scaling ,Research methodology
Measurement & scaling ,Research methodology
 
Measurement and scaling
Measurement and scalingMeasurement and scaling
Measurement and scaling
 
Levels of measurement
Levels of measurementLevels of measurement
Levels of measurement
 
The Sign Test
The Sign TestThe Sign Test
The Sign Test
 
Scales of measurement
Scales of measurementScales of measurement
Scales of measurement
 
Measurement in research
Measurement in researchMeasurement in research
Measurement in research
 
Likert Scale
Likert ScaleLikert Scale
Likert Scale
 
1.2 types of data
1.2 types of data1.2 types of data
1.2 types of data
 
Measurment and scale
Measurment and scaleMeasurment and scale
Measurment and scale
 
Business Research Methods. data collection preparation and analysis
Business Research Methods. data collection preparation and analysisBusiness Research Methods. data collection preparation and analysis
Business Research Methods. data collection preparation and analysis
 
Data measurement techniques
Data measurement techniquesData measurement techniques
Data measurement techniques
 
Measurementand scaling-10
Measurementand scaling-10Measurementand scaling-10
Measurementand scaling-10
 
Non parametric test
Non parametric testNon parametric test
Non parametric test
 
Bivariate analysis
Bivariate analysisBivariate analysis
Bivariate analysis
 
Application of Univariate, Bi-variate and Multivariate analysis Pooja k shetty
Application of Univariate, Bi-variate and Multivariate analysis Pooja k shettyApplication of Univariate, Bi-variate and Multivariate analysis Pooja k shetty
Application of Univariate, Bi-variate and Multivariate analysis Pooja k shetty
 
Parametric & non parametric
Parametric & non parametricParametric & non parametric
Parametric & non parametric
 
Editing, coding and tabulation of data
Editing, coding and tabulation of dataEditing, coding and tabulation of data
Editing, coding and tabulation of data
 
Testing of hypothesis
Testing of hypothesisTesting of hypothesis
Testing of hypothesis
 

En vedette

measurement and scaling
measurement and scalingmeasurement and scaling
measurement and scaling
Ashraf Hlouh
 
Measurement and scales
Measurement and scalesMeasurement and scales
Measurement and scales
Karan Khaneja
 
Measurement and scaling techniques
Measurement  and  scaling  techniquesMeasurement  and  scaling  techniques
Measurement and scaling techniques
Ujjwal 'Shanu'
 
Scaling techniques (unit iv) shradha
Scaling techniques (unit iv)   shradhaScaling techniques (unit iv)   shradha
Scaling techniques (unit iv) shradha
Shilpi Vaishkiyar
 
Scales of Measurement
Scales of MeasurementScales of Measurement
Scales of Measurement
loranel
 
Measurement scales
Measurement scalesMeasurement scales
Measurement scales
Aiden Yeh
 
Attitude measurement and scaling techniques
Attitude measurement and scaling techniquesAttitude measurement and scaling techniques
Attitude measurement and scaling techniques
Charu Rastogi
 
Presentation Validity & Reliability
Presentation Validity & ReliabilityPresentation Validity & Reliability
Presentation Validity & Reliability
songoten77
 

En vedette (20)

200 chapter 7 measurement :scaling by uma sekaran
200 chapter 7 measurement :scaling by uma sekaran 200 chapter 7 measurement :scaling by uma sekaran
200 chapter 7 measurement :scaling by uma sekaran
 
measurement and scaling
measurement and scalingmeasurement and scaling
measurement and scaling
 
Measurement and scales
Measurement and scalesMeasurement and scales
Measurement and scales
 
Measurement and scaling techniques
Measurement  and  scaling  techniquesMeasurement  and  scaling  techniques
Measurement and scaling techniques
 
eeMba ii rm unit-3.1 measurement & scaling a
eeMba ii rm unit-3.1 measurement & scaling aeeMba ii rm unit-3.1 measurement & scaling a
eeMba ii rm unit-3.1 measurement & scaling a
 
Mesurement & scaling- Sem Shaikh
Mesurement & scaling- Sem ShaikhMesurement & scaling- Sem Shaikh
Mesurement & scaling- Sem Shaikh
 
Scaling techniques (unit iv) shradha
Scaling techniques (unit iv)   shradhaScaling techniques (unit iv)   shradha
Scaling techniques (unit iv) shradha
 
Scales of Measurement
Scales of MeasurementScales of Measurement
Scales of Measurement
 
Measurement scales
Measurement scalesMeasurement scales
Measurement scales
 
Attitude measurement and scaling techniques
Attitude measurement and scaling techniquesAttitude measurement and scaling techniques
Attitude measurement and scaling techniques
 
Presentation Validity & Reliability
Presentation Validity & ReliabilityPresentation Validity & Reliability
Presentation Validity & Reliability
 
Chapter 8-SAMPLE & SAMPLING TECHNIQUES
Chapter 8-SAMPLE & SAMPLING TECHNIQUESChapter 8-SAMPLE & SAMPLING TECHNIQUES
Chapter 8-SAMPLE & SAMPLING TECHNIQUES
 
Scalling technique
Scalling technique Scalling technique
Scalling technique
 
Encuesta linkert- Expectativas en una relación Conyugal
Encuesta linkert- Expectativas en una relación Conyugal Encuesta linkert- Expectativas en una relación Conyugal
Encuesta linkert- Expectativas en una relación Conyugal
 
Market Research & Process
Market Research & ProcessMarket Research & Process
Market Research & Process
 
ITFT Data collection
ITFT Data  collectionITFT Data  collection
ITFT Data collection
 
Production order - Murali krishna nookella
Production order - Murali krishna nookellaProduction order - Murali krishna nookella
Production order - Murali krishna nookella
 
Presentation on Scaling
Presentation on ScalingPresentation on Scaling
Presentation on Scaling
 
Market Research Process
Market Research ProcessMarket Research Process
Market Research Process
 
Independent sample t test
Independent sample t testIndependent sample t test
Independent sample t test
 

Similaire à Measurement and Scaling

Measuring scaling new.pptx
Measuring scaling new.pptxMeasuring scaling new.pptx
Measuring scaling new.pptx
Renu Lamba
 

Similaire à Measurement and Scaling (20)

Measurement
MeasurementMeasurement
Measurement
 
Levels of measurement-Scales.pptx
Levels of measurement-Scales.pptxLevels of measurement-Scales.pptx
Levels of measurement-Scales.pptx
 
Measurement and scaling
Measurement and scalingMeasurement and scaling
Measurement and scaling
 
Scales of Measurements.pptx
Scales of Measurements.pptxScales of Measurements.pptx
Scales of Measurements.pptx
 
Measurement and scaling
Measurement and scalingMeasurement and scaling
Measurement and scaling
 
Measuring scaling new.pptx
Measuring scaling new.pptxMeasuring scaling new.pptx
Measuring scaling new.pptx
 
measurment scaling & businesses data.pdf
measurment scaling & businesses data.pdfmeasurment scaling & businesses data.pdf
measurment scaling & businesses data.pdf
 
Measurement scales
Measurement scalesMeasurement scales
Measurement scales
 
Measurement scales
Measurement scalesMeasurement scales
Measurement scales
 
Measurement scales
Measurement scalesMeasurement scales
Measurement scales
 
2 statistics, measurement, graphical techniques
2 statistics, measurement, graphical techniques2 statistics, measurement, graphical techniques
2 statistics, measurement, graphical techniques
 
Measurement, scaling and sampling
Measurement, scaling and samplingMeasurement, scaling and sampling
Measurement, scaling and sampling
 
Measurement & Scaling Techniques
Measurement & Scaling TechniquesMeasurement & Scaling Techniques
Measurement & Scaling Techniques
 
Chapter 2 The Science of Psychological Measurement (Alivio, Ansula).pptx
Chapter 2 The Science of Psychological Measurement (Alivio, Ansula).pptxChapter 2 The Science of Psychological Measurement (Alivio, Ansula).pptx
Chapter 2 The Science of Psychological Measurement (Alivio, Ansula).pptx
 
Unit 3-A.ppt Research methodology detailed description
Unit 3-A.ppt Research methodology detailed descriptionUnit 3-A.ppt Research methodology detailed description
Unit 3-A.ppt Research methodology detailed description
 
Unit 3-A.ppt Research methodology detailed description
Unit 3-A.ppt Research methodology detailed descriptionUnit 3-A.ppt Research methodology detailed description
Unit 3-A.ppt Research methodology detailed description
 
Measurement and Scales in Research Methodology
Measurement and Scales in Research MethodologyMeasurement and Scales in Research Methodology
Measurement and Scales in Research Methodology
 
types of measurement scale (1).pptx
types of measurement scale (1).pptxtypes of measurement scale (1).pptx
types of measurement scale (1).pptx
 
SCALE , CLASSIFICATION OF SCALE AND IMPORTANCE OF SCALING TECHNIQUES.pptx
SCALE , CLASSIFICATION OF SCALE AND IMPORTANCE OF SCALING TECHNIQUES.pptxSCALE , CLASSIFICATION OF SCALE AND IMPORTANCE OF SCALING TECHNIQUES.pptx
SCALE , CLASSIFICATION OF SCALE AND IMPORTANCE OF SCALING TECHNIQUES.pptx
 
Chapter 8: Measurement and Sampling
Chapter 8: Measurement and SamplingChapter 8: Measurement and Sampling
Chapter 8: Measurement and Sampling
 

Plus de Yashraj Tahilramani (8)

Globalization in detail and international business
Globalization in detail and international businessGlobalization in detail and international business
Globalization in detail and international business
 
Strategic canvas motorcycle India hero yamaha
Strategic canvas motorcycle India hero yamahaStrategic canvas motorcycle India hero yamaha
Strategic canvas motorcycle India hero yamaha
 
Ansoff matrix for mcdonalds
Ansoff matrix for mcdonaldsAnsoff matrix for mcdonalds
Ansoff matrix for mcdonalds
 
Working capital positive negative effects
Working capital positive negative effectsWorking capital positive negative effects
Working capital positive negative effects
 
Berlin wall
Berlin wallBerlin wall
Berlin wall
 
Ratio Analysis Consumer Durable Industry
Ratio Analysis Consumer Durable IndustryRatio Analysis Consumer Durable Industry
Ratio Analysis Consumer Durable Industry
 
MIS for Business
MIS for BusinessMIS for Business
MIS for Business
 
Employee safety
Employee safetyEmployee safety
Employee safety
 

Dernier

The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
heathfieldcps1
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
negromaestrong
 
Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdf
Chris Hunter
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
PECB
 

Dernier (20)

Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docx
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Asian American Pacific Islander Month DDSD 2024.pptx
Asian American Pacific Islander Month DDSD 2024.pptxAsian American Pacific Islander Month DDSD 2024.pptx
Asian American Pacific Islander Month DDSD 2024.pptx
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdf
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701
 
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-IIFood Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
 

Measurement and Scaling

  • 2. •Agenda What is Measurement and Scaling? Types of Measurement Scales Criteria for Good Measurement 1 2 3 4 Scaling Techniques
  • 3. Measurement • Researcher must follow rules. • Reasons for which numbers are usually assigned: • Permit statistical analysis for resulting data. • Measurement results What is Measurement and Scaling? •Introduction
  • 4. Scaling • Eg: scale satisfaction level from 1 to 11 • Measurement is actual assignment of numbers • Scaling is process of placing the respondent on a continuum. What is Measurement and Scaling? •Introduction
  • 6. • Lowest level of measurement. • Numbers are assigned to the identification of an objects. • One-to-one correspondence between the number and objects. Nominal Scale
  • 7. • Q. What is your religion? • 1.Hindusim • 2.Sikhism • 3.Christian • 4.Islam Number can not be added ,divided ,subtracted or multiplied. In Nominal Scale one can compute :-suare Frequency distribution, Mode, Chi-square test Example:
  • 8. • Next higher level of measurement. • The Ordinal scale measurement tells whether an object has more or less characteristics than other but it can not tell how much more or less. • It includes quality ranking, ranking of the teams in tournament, socio-economic class etc. • One can compute: Median, percentile, quartiles of the distribution. •Ordinal Scale
  • 9. • It takes care of the limitations of ordinal scale. • There is no absolute zero. • Difference in 2 adjacent value is constant. • Technically, numbers on an interval scale can be added and subtracted but not divided and multiplied. • All the techniques applicable to the previous scales is also applicable to interval scale. •Interval Scale
  • 10. • This is the highest level of measurement takes care of all the limitations of all other scales. • Numbers on these scales have meaningful interpretation. • Ratio scale can be converted into other 3 scales but the vice- versa is not possible. • This is the only scale which has a Zero. •Ratio Scale 6’5” 5’4”5’3” 6’4” 5’11”5’10”
  • 12. • Direct stimulus of object • Relative in nature • Non-metric scaling •Comparative scaling technique
  • 13. Eg: Preference for Toothpaste Brands Using Rank Order Scaling • Brand Rank Order • 1. Crest _________ • 2. Colgate _________ • 3. Close up _________ • 4. Pepsodent _________ • 5. Sensodyne _________ •Rank order comparison
  • 14. Eg: Importance of Bathing Soap Attributes Using a Constant Sum Scaling Attribute Points • 1. Mildness 8 • 2. Lather 2 • 3. Shrinkage 3 • 4. Price 53 • 5. Fragrance 9 • 6. Packaging 7 • 7. Moisturizing 5 • 8. Cleaning Power 13 Sum 100 •Constant Sum Scaling
  • 15. Eg: Obtaining Shampoo Preferences Using Paired Comparisons Recording form: Head & shoulder Clinic plus Dove Head & shoulder 0 1 Clinic plus 1 1 Dove 0 0 No. of times 1 0 2 preferred •Paired Comparison
  • 16. • It discriminates among large number of objects • Ordinal in nature • Time consuming • Expensive •Q-sort Technique
  • 18. •Continuous rating Allows the respondent to place a mark at any point among a line running between two extreme points Also called graphic rating scale. Has metric scaling It has interval or ratio scale Can be expressed using diagrams, smiley and scale
  • 19.
  • 20.
  • 21. •Itemized Rating In this respondents are provided with a scale that has a number of brief descriptions associated with each response categories. Issues to be kept in mind : •No of catergories to be used •Odd or even categories •Balanced v/s unbalanced scales •Nature and degree of verbal description •Forced v/s non forced scales •Physical form It includes •Likert •Semantic diffrentiation •Stapel
  • 22.
  • 23. •Likert scale Named after Mr. Rensis Likert Range of categories from strongly disagree to strongly agree Also called summated scale It takes longer to complete
  • 24. •Semantic Differentiation Used to compare images of competing brands or services. Respondent is required to rate each attitude on a number of 5- 7 pt rating scale +ve and –ve descriptions can simetimes switch places - reduces tendency to just mark 1 side
  • 25.
  • 26. •Stapel Scaling Ian stapel developed it Its presented vertically with an adjective in the middle and five data points abv and five data point below. No zero point is offered.
  • 27.
  • 28. •Criteria for Good Measurement Validity Reliability Sensitivity
  • 29. • It refers to the whether we are measuring what we want to. •Validity Content • Subjective Judgment for assessing the appropriateness of the construct. Concurrent • Measures the validity of new measuring techniques by correlating them to the established techniques. Predictive • The ability of one phenomenon at that point of time to measure another phenomenon at a future point of time.
  • 30. •Reliability Its concerned with consistency, accuracy and predictability of the scale. It refers to the extent to which a measurement process is free from random errors. I. Test –retest II. Split-Half
  • 31. •Sensitivity It refers to instrument’s ability to measure the variability in a concept. Sensitivity can be increased by adding questions or items to the scale. Instead of only Agree and Disagree we can add strongly agree and strongly disagree to the scale