SlideShare a Scribd company logo
1 of 13
© 2007 Prentice Hall 9-1
Chapter Nine
Measurement and Scaling:
Noncomparative Scaling
Techniques
© 2007 Prentice Hall 9-2
Chapter Outline
1) Overview
2) Noncomparative Scaling Techniques
3) Continuous Rating Scale
4) Itemized Rating Scale
i. Likert Scale
ii. Semantic Differential Scale
iii. Stapel Scale
© 2007 Prentice Hall 9-3
Chapter Outline
5) Noncomparative Itemized Rating Scale Decisions
i. Number of Scale Categories
ii. Balanced Vs. Unbalanced Scales
iii. Odd or Even Number of Categories
iv. Forced Vs. Non-forced Scales
v. Nature and Degree of Verbal Description
vi. Physical Form or Configuration
6) Multi-item Scales
© 2007 Prentice Hall 9-4
Chapter Outline
7) Scale Evaluation
i. Measurement Accuracy
ii. Reliability
iii. Validity
iv. Relationship between Reliability and Validity
v. Generalizability
8) Choosing a Scaling Technique
9) Mathematically Derived Scales
Reliable? Valid?
Generalizable?
© 2007 Prentice Hall 9-5
Chapter Outline
10) International Marketing Research
11) Ethics in Marketing Research
12) Summary
© 2007 Prentice Hall 9-6
Noncomparative Scaling Techniques
 Respondents evaluate only one object at a time, and for
this reason non-comparative scales are often referred to
as monadic scales.
 Non-comparative techniques consist of continuous and
itemized rating scales.
© 2007 Prentice Hall 9-7
Continuous Rating Scale
Respondents rate the objects by placing a mark at the appropriate position
on a line that runs from one extreme of the criterion variable to the other.
The form of the continuous scale may vary considerably.
How would you rate Sears as a department store?
Version 1
Probably the worst - - - - - - -I - - - - - - - - - - - - - - - - - - - - - - Probably the best
Version 2
Probably the worst - - - - - - -I - - - - - - - - - - - - - - - - - - - - - --Probably the best
0 10 20 30 40 50 60 70 80 90 100
Version 3
Very bad Neither good Very good
nor bad
Probably the worst - - - - - - -I - - - - - - - - - - - - - - - - - - - - ---Probably the best
0 10 20 30 40 50 60 70 80 90 100
© 2007 Prentice Hall 9-8
Itemized Rating Scales
 The respondents are provided with a scale that has a
number or brief description associated with each
category.
 The categories are ordered in terms of scale position,
and the respondents are required to select the specified
category that best describes the object being rated.
 The commonly used itemized rating scales are the
Likert, semantic differential, and Stapel scales.
© 2007 Prentice Hall 9-9
Likert Scale
The Likert scale requires the respondents to indicate a degree of agreement or
disagreement with each of a series of statements about the stimulus objects.
Strongly Disagree Neither Agree Strongly
disagree agree nor agree
disagree
1. Sears sells high quality merchandise. 1 2X 3 4 5
2. Sears has poor in-store service. 1 2X 3 4 5
3. I like to shop at Sears. 1 2 3X 4 5
 The analysis can be conducted on an item-by-item basis (profile analysis), or a
total (summated) score can be calculated.
 When arriving at a total score, the categories assigned to the negative
statements by the respondents should be scored by reversing the scale.
© 2007 Prentice Hall 9-10
Semantic Differential Scale
The semantic differential is a seven-point rating scale with end
points associated with bipolar labels that have semantic meaning.
SEARS IS:
Powerful --:--:--:--:-X-:--:--: Weak
Unreliable --:--:--:--:--:-X-:--: Reliable
Modern --:--:--:--:--:--:-X-: Old-fashioned
 The negative adjective or phrase sometimes appears at the left
side of the scale and sometimes at the right.
 This controls the tendency of some respondents, particularly
those with very positive or very negative attitudes, to mark the
right- or left-hand sides without reading the labels.
 Individual items on a semantic differential scale may be scored
on either a -3 to +3 or a 1 to 7 scale.
© 2007 Prentice Hall 9-11
A Semantic Differential Scale for Measuring
Self- Concepts, Person Concepts, and Product
Concepts
1) Rugged :---:---:---:---:---:---:---: Delicate
2) Excitable :---:---:---:---:---:---:---: Calm
3) Uncomfortable :---:---:---:---:---:---:---: Comfortable
4) Dominating :---:---:---:---:---:---:---: Submissive
5) Thrifty :---:---:---:---:---:---:---: Indulgent
6) Pleasant :---:---:---:---:---:---:---: Unpleasant
7) Contemporary :---:---:---:---:---:---:---: Obsolete
8) Organized :---:---:---:---:---:---:---: Unorganized
9) Rational :---:---:---:---:---:---:---: Emotional
10) Youthful :---:---:---:---:---:---:---: Mature
11) Formal :---:---:---:---:---:---:---: Informal
12) Orthodox :---:---:---:---:---:---:---: Liberal
13) Complex :---:---:---:---:---:---:---: Simple
14) Colorless :---:---:---:---:---:---:---: Colorful
15) Modest :---:---:---:---:---:---:---: Vain
© 2007 Prentice Hall 9-12
Stapel Scale
The Stapel scale is a unipolar rating scale with ten categories
numbered from -5 to +5, without a neutral point (zero). This scale
is usually presented vertically.
SEARS
+5 +5
+4 +4
+3 +3
+2 +2X
+1 +1
HIGH QUALITY POOR SERVICE
-1 -1
-2 -2
-3 -3
-4X -4
-5 -5
The data obtained by using a Stapel scale can be analyzed in the
same way as semantic differential data.
© 2007 Prentice Hall 9-13
Scale Basic
Characteristics
Examples Advantages Disadvantages
Continuous
Rating
Scale
Place a mark on a
continuous line
Reaction to
TV
commercials
Easy to construct Scoring can be
cumbersome
unless
computerized
Itemized Rating Scales
Likert Scale Degrees of
agreement on a 1
(strongly disagree)
to 5 (strongly agree)
scale
Measurement
of attitudes
Easy to construct,
administer, and
understand
More
time-consuming
Semantic
Differential
Seven - point scale
with bipolar labels
Brand,
product, and
company
images
Versatile Controversy as
to whether the
data are interval
Stapel
Scale
Unipolar ten - point
scale, - 5 to +5,
witho ut a neutral
point (zero)
Measurement
of attitudes
and images
Easy to construct,
administer over
telephone
Confusing and
difficult to apply
Table 9.1
Basic Noncomparative Scales

More Related Content

What's hot (20)

Marketing research ch 4_malhotra
Marketing research ch 4_malhotraMarketing research ch 4_malhotra
Marketing research ch 4_malhotra
 
Marketing research ch 9_malhotra
Marketing research ch 9_malhotraMarketing research ch 9_malhotra
Marketing research ch 9_malhotra
 
Malhotra08
Malhotra08Malhotra08
Malhotra08
 
Malhotra15
Malhotra15Malhotra15
Malhotra15
 
Marketing research ch 6_malhotra
Marketing research ch 6_malhotraMarketing research ch 6_malhotra
Marketing research ch 6_malhotra
 
Chapter 1 Marketing Research Malhotra
Chapter 1 Marketing Research MalhotraChapter 1 Marketing Research Malhotra
Chapter 1 Marketing Research Malhotra
 
Malhotra03
Malhotra03Malhotra03
Malhotra03
 
Marketing research ch 8_malhotra
Marketing research ch 8_malhotraMarketing research ch 8_malhotra
Marketing research ch 8_malhotra
 
Chapter 8 by Malhotra
Chapter 8 by MalhotraChapter 8 by Malhotra
Chapter 8 by Malhotra
 
Malhotra04
Malhotra04Malhotra04
Malhotra04
 
Malhotra10
Malhotra10Malhotra10
Malhotra10
 
Marketing research ch 2_malhotra
Marketing research ch 2_malhotraMarketing research ch 2_malhotra
Marketing research ch 2_malhotra
 
Malhotra06
Malhotra06Malhotra06
Malhotra06
 
Ch 2 Marketing research
Ch 2 Marketing researchCh 2 Marketing research
Ch 2 Marketing research
 
Chapter 15 Marketing Research Malhotra
Chapter 15 Marketing Research MalhotraChapter 15 Marketing Research Malhotra
Chapter 15 Marketing Research Malhotra
 
Marketing research ch 11_malhotra
Marketing research ch 11_malhotraMarketing research ch 11_malhotra
Marketing research ch 11_malhotra
 
Malhotra12
Malhotra12Malhotra12
Malhotra12
 
Malhotra16
Malhotra16Malhotra16
Malhotra16
 
Malhotra05
Malhotra05Malhotra05
Malhotra05
 
Marketing research ch 5_malhotra
Marketing research ch 5_malhotraMarketing research ch 5_malhotra
Marketing research ch 5_malhotra
 

Viewers also liked

Viewers also liked (12)

Causal Research
Causal ResearchCausal Research
Causal Research
 
An Introduction To Marketing Research
An  Introduction To  Marketing  ResearchAn  Introduction To  Marketing  Research
An Introduction To Marketing Research
 
2 presentations malhotra-mr05_ppt_16
2 presentations malhotra-mr05_ppt_162 presentations malhotra-mr05_ppt_16
2 presentations malhotra-mr05_ppt_16
 
Marketing Research ch2
Marketing Research ch2Marketing Research ch2
Marketing Research ch2
 
kotler Marketing management chapter 4.PPT
kotler Marketing management chapter 4.PPTkotler Marketing management chapter 4.PPT
kotler Marketing management chapter 4.PPT
 
Chapter #4
Chapter #4Chapter #4
Chapter #4
 
Kotler pom13e student_04
Kotler pom13e student_04Kotler pom13e student_04
Kotler pom13e student_04
 
Market Research Presentation
Market Research PresentationMarket Research Presentation
Market Research Presentation
 
Marketing research process
Marketing research processMarketing research process
Marketing research process
 
Marketing research
Marketing researchMarketing research
Marketing research
 
MARKETING POWERPOINT
MARKETING POWERPOINTMARKETING POWERPOINT
MARKETING POWERPOINT
 
Marketing research ppt
Marketing research pptMarketing research ppt
Marketing research ppt
 

Similar to Chapter 9 Marketing Research Malhotra

Measurement and scaling noncomparative scaling technique
Measurement and scaling noncomparative scaling techniqueMeasurement and scaling noncomparative scaling technique
Measurement and scaling noncomparative scaling techniqueRohit Kumar
 
chapter 8 measurement and scaling methods
chapter 8 measurement and scaling methodschapter 8 measurement and scaling methods
chapter 8 measurement and scaling methodsjinsigeorge
 
marketing research ch 9.ppt
marketing research ch 9.pptmarketing research ch 9.ppt
marketing research ch 9.pptamitshaha3
 
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 descriptionjinsigeorge
 
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 descriptionjinsigeorge
 
3. Secondary Data, Online Information Databases, and Measurement.docx
3. Secondary Data, Online Information Databases, and Measurement.docx3. Secondary Data, Online Information Databases, and Measurement.docx
3. Secondary Data, Online Information Databases, and Measurement.docxtamicawaysmith
 
Research Method for Business chapter 7
Research Method for Business chapter  7Research Method for Business chapter  7
Research Method for Business chapter 7Mazhar Poohlah
 
Strategies for Using Rubrics as a Form of Assessment
Strategies for Using Rubrics as a Form of AssessmentStrategies for Using Rubrics as a Form of Assessment
Strategies for Using Rubrics as a Form of AssessmentMichelle Rodems
 
250 words, no more than 500· Focus on what you learned that made.docx
250 words, no more than 500· Focus on what you learned that made.docx250 words, no more than 500· Focus on what you learned that made.docx
250 words, no more than 500· Focus on what you learned that made.docxeugeniadean34240
 
Scaling techniques (unit iv) shradha
Scaling techniques (unit iv)   shradhaScaling techniques (unit iv)   shradha
Scaling techniques (unit iv) shradhaShilpi Vaishkiyar
 
Measurement of variable& scaling
Measurement of variable& scalingMeasurement of variable& scaling
Measurement of variable& scalingH9460730008
 
QUESTION 11. Discuss the differences between attributes and vari.docx
QUESTION 11. Discuss the differences between attributes and vari.docxQUESTION 11. Discuss the differences between attributes and vari.docx
QUESTION 11. Discuss the differences between attributes and vari.docxIRESH3
 

Similar to Chapter 9 Marketing Research Malhotra (20)

Measurement and scaling noncomparative scaling technique
Measurement and scaling noncomparative scaling techniqueMeasurement and scaling noncomparative scaling technique
Measurement and scaling noncomparative scaling technique
 
chap 9.pptx
chap 9.pptxchap 9.pptx
chap 9.pptx
 
chap 9.pdf
chap 9.pdfchap 9.pdf
chap 9.pdf
 
chapter 8 measurement and scaling methods
chapter 8 measurement and scaling methodschapter 8 measurement and scaling methods
chapter 8 measurement and scaling methods
 
Malhotra09
Malhotra09Malhotra09
Malhotra09
 
Malhotra09
Malhotra09Malhotra09
Malhotra09
 
marketing research ch 9.ppt
marketing research ch 9.pptmarketing research ch 9.ppt
marketing research ch 9.ppt
 
Mr4 ms10
Mr4 ms10Mr4 ms10
Mr4 ms10
 
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
 
3. Secondary Data, Online Information Databases, and Measurement.docx
3. Secondary Data, Online Information Databases, and Measurement.docx3. Secondary Data, Online Information Databases, and Measurement.docx
3. Secondary Data, Online Information Databases, and Measurement.docx
 
Attitude scales
Attitude scalesAttitude scales
Attitude scales
 
Research Method for Business chapter 7
Research Method for Business chapter  7Research Method for Business chapter  7
Research Method for Business chapter 7
 
Qnt275 qnt 275
Qnt275 qnt 275Qnt275 qnt 275
Qnt275 qnt 275
 
Rating scale
Rating scaleRating scale
Rating scale
 
Strategies for Using Rubrics as a Form of Assessment
Strategies for Using Rubrics as a Form of AssessmentStrategies for Using Rubrics as a Form of Assessment
Strategies for Using Rubrics as a Form of Assessment
 
250 words, no more than 500· Focus on what you learned that made.docx
250 words, no more than 500· Focus on what you learned that made.docx250 words, no more than 500· Focus on what you learned that made.docx
250 words, no more than 500· Focus on what you learned that made.docx
 
Scaling techniques (unit iv) shradha
Scaling techniques (unit iv)   shradhaScaling techniques (unit iv)   shradha
Scaling techniques (unit iv) shradha
 
Measurement of variable& scaling
Measurement of variable& scalingMeasurement of variable& scaling
Measurement of variable& scaling
 
QUESTION 11. Discuss the differences between attributes and vari.docx
QUESTION 11. Discuss the differences between attributes and vari.docxQUESTION 11. Discuss the differences between attributes and vari.docx
QUESTION 11. Discuss the differences between attributes and vari.docx
 

Recently uploaded

Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdfVirtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdfErwinPantujan2
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptxmary850239
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSJoshuaGantuangco2
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPCeline George
 
Science 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxScience 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxMaryGraceBautista27
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parentsnavabharathschool99
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17Celine George
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...Postal Advocate Inc.
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxCarlos105
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxAshokKarra1
 
ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomnelietumpap1
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptxSherlyMaeNeri
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptxiammrhaywood
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYKayeClaireEstoconing
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxHumphrey A Beña
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 

Recently uploaded (20)

Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdfVirtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERP
 
Science 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxScience 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptx
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parents
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17
 
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptxYOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptx
 
ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choom
 
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptxFINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptx
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 

Chapter 9 Marketing Research Malhotra

  • 1. © 2007 Prentice Hall 9-1 Chapter Nine Measurement and Scaling: Noncomparative Scaling Techniques
  • 2. © 2007 Prentice Hall 9-2 Chapter Outline 1) Overview 2) Noncomparative Scaling Techniques 3) Continuous Rating Scale 4) Itemized Rating Scale i. Likert Scale ii. Semantic Differential Scale iii. Stapel Scale
  • 3. © 2007 Prentice Hall 9-3 Chapter Outline 5) Noncomparative Itemized Rating Scale Decisions i. Number of Scale Categories ii. Balanced Vs. Unbalanced Scales iii. Odd or Even Number of Categories iv. Forced Vs. Non-forced Scales v. Nature and Degree of Verbal Description vi. Physical Form or Configuration 6) Multi-item Scales
  • 4. © 2007 Prentice Hall 9-4 Chapter Outline 7) Scale Evaluation i. Measurement Accuracy ii. Reliability iii. Validity iv. Relationship between Reliability and Validity v. Generalizability 8) Choosing a Scaling Technique 9) Mathematically Derived Scales Reliable? Valid? Generalizable?
  • 5. © 2007 Prentice Hall 9-5 Chapter Outline 10) International Marketing Research 11) Ethics in Marketing Research 12) Summary
  • 6. © 2007 Prentice Hall 9-6 Noncomparative Scaling Techniques  Respondents evaluate only one object at a time, and for this reason non-comparative scales are often referred to as monadic scales.  Non-comparative techniques consist of continuous and itemized rating scales.
  • 7. © 2007 Prentice Hall 9-7 Continuous Rating Scale Respondents rate the objects by placing a mark at the appropriate position on a line that runs from one extreme of the criterion variable to the other. The form of the continuous scale may vary considerably. How would you rate Sears as a department store? Version 1 Probably the worst - - - - - - -I - - - - - - - - - - - - - - - - - - - - - - Probably the best Version 2 Probably the worst - - - - - - -I - - - - - - - - - - - - - - - - - - - - - --Probably the best 0 10 20 30 40 50 60 70 80 90 100 Version 3 Very bad Neither good Very good nor bad Probably the worst - - - - - - -I - - - - - - - - - - - - - - - - - - - - ---Probably the best 0 10 20 30 40 50 60 70 80 90 100
  • 8. © 2007 Prentice Hall 9-8 Itemized Rating Scales  The respondents are provided with a scale that has a number or brief description associated with each category.  The categories are ordered in terms of scale position, and the respondents are required to select the specified category that best describes the object being rated.  The commonly used itemized rating scales are the Likert, semantic differential, and Stapel scales.
  • 9. © 2007 Prentice Hall 9-9 Likert Scale The Likert scale requires the respondents to indicate a degree of agreement or disagreement with each of a series of statements about the stimulus objects. Strongly Disagree Neither Agree Strongly disagree agree nor agree disagree 1. Sears sells high quality merchandise. 1 2X 3 4 5 2. Sears has poor in-store service. 1 2X 3 4 5 3. I like to shop at Sears. 1 2 3X 4 5  The analysis can be conducted on an item-by-item basis (profile analysis), or a total (summated) score can be calculated.  When arriving at a total score, the categories assigned to the negative statements by the respondents should be scored by reversing the scale.
  • 10. © 2007 Prentice Hall 9-10 Semantic Differential Scale The semantic differential is a seven-point rating scale with end points associated with bipolar labels that have semantic meaning. SEARS IS: Powerful --:--:--:--:-X-:--:--: Weak Unreliable --:--:--:--:--:-X-:--: Reliable Modern --:--:--:--:--:--:-X-: Old-fashioned  The negative adjective or phrase sometimes appears at the left side of the scale and sometimes at the right.  This controls the tendency of some respondents, particularly those with very positive or very negative attitudes, to mark the right- or left-hand sides without reading the labels.  Individual items on a semantic differential scale may be scored on either a -3 to +3 or a 1 to 7 scale.
  • 11. © 2007 Prentice Hall 9-11 A Semantic Differential Scale for Measuring Self- Concepts, Person Concepts, and Product Concepts 1) Rugged :---:---:---:---:---:---:---: Delicate 2) Excitable :---:---:---:---:---:---:---: Calm 3) Uncomfortable :---:---:---:---:---:---:---: Comfortable 4) Dominating :---:---:---:---:---:---:---: Submissive 5) Thrifty :---:---:---:---:---:---:---: Indulgent 6) Pleasant :---:---:---:---:---:---:---: Unpleasant 7) Contemporary :---:---:---:---:---:---:---: Obsolete 8) Organized :---:---:---:---:---:---:---: Unorganized 9) Rational :---:---:---:---:---:---:---: Emotional 10) Youthful :---:---:---:---:---:---:---: Mature 11) Formal :---:---:---:---:---:---:---: Informal 12) Orthodox :---:---:---:---:---:---:---: Liberal 13) Complex :---:---:---:---:---:---:---: Simple 14) Colorless :---:---:---:---:---:---:---: Colorful 15) Modest :---:---:---:---:---:---:---: Vain
  • 12. © 2007 Prentice Hall 9-12 Stapel Scale The Stapel scale is a unipolar rating scale with ten categories numbered from -5 to +5, without a neutral point (zero). This scale is usually presented vertically. SEARS +5 +5 +4 +4 +3 +3 +2 +2X +1 +1 HIGH QUALITY POOR SERVICE -1 -1 -2 -2 -3 -3 -4X -4 -5 -5 The data obtained by using a Stapel scale can be analyzed in the same way as semantic differential data.
  • 13. © 2007 Prentice Hall 9-13 Scale Basic Characteristics Examples Advantages Disadvantages Continuous Rating Scale Place a mark on a continuous line Reaction to TV commercials Easy to construct Scoring can be cumbersome unless computerized Itemized Rating Scales Likert Scale Degrees of agreement on a 1 (strongly disagree) to 5 (strongly agree) scale Measurement of attitudes Easy to construct, administer, and understand More time-consuming Semantic Differential Seven - point scale with bipolar labels Brand, product, and company images Versatile Controversy as to whether the data are interval Stapel Scale Unipolar ten - point scale, - 5 to +5, witho ut a neutral point (zero) Measurement of attitudes and images Easy to construct, administer over telephone Confusing and difficult to apply Table 9.1 Basic Noncomparative Scales