SlideShare a Scribd company logo
1 of 11
8-1
Part Two
                    THE DESIGN OF RESEARCH




 8-2
McGraw-Hill/Irwin             © 2003 The McGraw-Hill Companies, Inc.,All Rights Reserved.
Chapter Eight
      MEASUREMENT




8-3
Measurement

      • Selecting observable empirical events

      • Using numbers or symbols to represent
        aspects of the events

      • Applying a mapping rule to connect the
        observation to the symbol


8-4
What is Measured?

      • Objects:
        – Things of ordinary experience
        – Some things not concrete
      • Properties: characteristics of objects




8-5
Characteristics of Data

      •   Classification
      •   Order
      •   Distance (interval between numbers)
      •   Origin of number series




8-6
Data Types

                 Order     Interval   Origin
      Nominal none         none       none

      Ordinal    yes       unequal    none

      Interval   yes       equal or   none
                           unequal
      Ratio      yes       equal      zero
8-7
Sources of Measurement Differences

      •   Respondent
      •   Situational factors
      •   Measurer or researcher
      •   Data collection instrument




8-8
Validity

      • Content Validity

      • Criterion-Related Validity
        – Predictive
        – Concurrent


      • Construct Validity


8-9
Reliability

       • Stability
         – Test-retest
         Equivalence
         – Parallel forms
       • Internal Consistency
         – Split-half
         – KR20
         – Cronbach’s alpha

8-10
Practicality

       • Economy

       • Convenience

       • Interpretability




8-11

More Related Content

What's hot

166 - ISBSG variables most frequently used for software effort estimation: A ...
166 - ISBSG variables most frequently used for software effort estimation: A ...166 - ISBSG variables most frequently used for software effort estimation: A ...
166 - ISBSG variables most frequently used for software effort estimation: A ...ESEM 2014
 
Structural equation modeling in amos
Structural equation modeling in amosStructural equation modeling in amos
Structural equation modeling in amosBalaji P
 
Introduction to Structural Equation Modeling
Introduction to Structural Equation ModelingIntroduction to Structural Equation Modeling
Introduction to Structural Equation ModelingUniversity of Southampton
 
Multivariate Analysis An Overview
Multivariate Analysis An OverviewMultivariate Analysis An Overview
Multivariate Analysis An Overviewguest3311ed
 
How does the QA team prepare test cases for Data Warehouse (BI) projects?
How does the QA team prepare test cases for Data Warehouse (BI) projects?How does the QA team prepare test cases for Data Warehouse (BI) projects?
How does the QA team prepare test cases for Data Warehouse (BI) projects?Rakesh Hansalia
 
Algorithm evaluation using item response theory
Algorithm evaluation using item response theoryAlgorithm evaluation using item response theory
Algorithm evaluation using item response theoryCSIRO
 
Representative Of The Populationseek Your Dream/Tutorialoutletdotcom
Representative Of The Populationseek Your Dream/TutorialoutletdotcomRepresentative Of The Populationseek Your Dream/Tutorialoutletdotcom
Representative Of The Populationseek Your Dream/Tutorialoutletdotcomapjk512
 
Mining from Open Answers in Questionnaire Data
Mining from Open Answers in Questionnaire DataMining from Open Answers in Questionnaire Data
Mining from Open Answers in Questionnaire Datafeiwin
 
SPSS an intro...
SPSS an intro...SPSS an intro...
SPSS an intro...Jithin Zcs
 

What's hot (14)

166 - ISBSG variables most frequently used for software effort estimation: A ...
166 - ISBSG variables most frequently used for software effort estimation: A ...166 - ISBSG variables most frequently used for software effort estimation: A ...
166 - ISBSG variables most frequently used for software effort estimation: A ...
 
Fundamental of Quality Data - Anthony Ndungu
Fundamental of Quality Data - Anthony NdunguFundamental of Quality Data - Anthony Ndungu
Fundamental of Quality Data - Anthony Ndungu
 
Structural equation modeling in amos
Structural equation modeling in amosStructural equation modeling in amos
Structural equation modeling in amos
 
Introduction to Structural Equation Modeling
Introduction to Structural Equation ModelingIntroduction to Structural Equation Modeling
Introduction to Structural Equation Modeling
 
Confirmatory Factor Analysis
Confirmatory Factor AnalysisConfirmatory Factor Analysis
Confirmatory Factor Analysis
 
Multivariate Analysis An Overview
Multivariate Analysis An OverviewMultivariate Analysis An Overview
Multivariate Analysis An Overview
 
How does the QA team prepare test cases for Data Warehouse (BI) projects?
How does the QA team prepare test cases for Data Warehouse (BI) projects?How does the QA team prepare test cases for Data Warehouse (BI) projects?
How does the QA team prepare test cases for Data Warehouse (BI) projects?
 
Algorithm evaluation using item response theory
Algorithm evaluation using item response theoryAlgorithm evaluation using item response theory
Algorithm evaluation using item response theory
 
Doe16 nested
Doe16 nestedDoe16 nested
Doe16 nested
 
Representative Of The Populationseek Your Dream/Tutorialoutletdotcom
Representative Of The Populationseek Your Dream/TutorialoutletdotcomRepresentative Of The Populationseek Your Dream/Tutorialoutletdotcom
Representative Of The Populationseek Your Dream/Tutorialoutletdotcom
 
Week 3 unit 1
Week 3 unit 1Week 3 unit 1
Week 3 unit 1
 
Mining from Open Answers in Questionnaire Data
Mining from Open Answers in Questionnaire DataMining from Open Answers in Questionnaire Data
Mining from Open Answers in Questionnaire Data
 
Spss
SpssSpss
Spss
 
SPSS an intro...
SPSS an intro...SPSS an intro...
SPSS an intro...
 

Viewers also liked

Business Research Methods Chap004
Business Research Methods Chap004Business Research Methods Chap004
Business Research Methods Chap004Mazhar Masood
 
Business Research Methods Chap018
Business Research Methods Chap018Business Research Methods Chap018
Business Research Methods Chap018Mazhar Masood
 
Business Research Methods Chap013
Business Research Methods Chap013Business Research Methods Chap013
Business Research Methods Chap013Mazhar Masood
 
Business Research Methods Chap019
Business Research Methods Chap019Business Research Methods Chap019
Business Research Methods Chap019Mazhar Masood
 
Business Research Methods Chap007
Business Research Methods Chap007Business Research Methods Chap007
Business Research Methods Chap007Mazhar Masood
 
Business Research Methods Chap015
Business Research Methods Chap015Business Research Methods Chap015
Business Research Methods Chap015Mazhar Masood
 
Business Research Methods Chap010
Business Research Methods Chap010Business Research Methods Chap010
Business Research Methods Chap010Mazhar Masood
 
Business Research Methods Chap001
Business Research Methods Chap001Business Research Methods Chap001
Business Research Methods Chap001Mazhar Masood
 
Business Research Methods Chap006
Business Research Methods Chap006Business Research Methods Chap006
Business Research Methods Chap006Mazhar Masood
 
Business Research Methods Chap009
Business Research Methods Chap009Business Research Methods Chap009
Business Research Methods Chap009Mazhar Masood
 
Business Research Methods Chap020
Business Research Methods Chap020Business Research Methods Chap020
Business Research Methods Chap020Mazhar Masood
 
Business Research Methods Chap016
Business Research Methods Chap016Business Research Methods Chap016
Business Research Methods Chap016Mazhar Masood
 
Business Research Methods Chap014
Business Research Methods Chap014Business Research Methods Chap014
Business Research Methods Chap014Mazhar Masood
 
Business Research Methods Chap002
Business Research Methods Chap002Business Research Methods Chap002
Business Research Methods Chap002Mazhar Masood
 
Business Research Methods Chap011
Business Research Methods Chap011Business Research Methods Chap011
Business Research Methods Chap011Mazhar Masood
 
Comparison of Banking System & Financial System in Italy & Thailand
Comparison of Banking System & Financial System in Italy & ThailandComparison of Banking System & Financial System in Italy & Thailand
Comparison of Banking System & Financial System in Italy & ThailandGhulam Hasnain
 
Business Research Methods Chap012
Business Research Methods Chap012Business Research Methods Chap012
Business Research Methods Chap012Mazhar Masood
 
Business Research Methods Chap005
Business Research Methods Chap005Business Research Methods Chap005
Business Research Methods Chap005Mazhar Masood
 
Jawab e Shikwa by Allama Muhammad Iqbal
Jawab e Shikwa by Allama Muhammad IqbalJawab e Shikwa by Allama Muhammad Iqbal
Jawab e Shikwa by Allama Muhammad IqbalMazhar Masood
 
Business Research Methods Chap003
Business Research Methods Chap003 Business Research Methods Chap003
Business Research Methods Chap003 Mazhar Masood
 

Viewers also liked (20)

Business Research Methods Chap004
Business Research Methods Chap004Business Research Methods Chap004
Business Research Methods Chap004
 
Business Research Methods Chap018
Business Research Methods Chap018Business Research Methods Chap018
Business Research Methods Chap018
 
Business Research Methods Chap013
Business Research Methods Chap013Business Research Methods Chap013
Business Research Methods Chap013
 
Business Research Methods Chap019
Business Research Methods Chap019Business Research Methods Chap019
Business Research Methods Chap019
 
Business Research Methods Chap007
Business Research Methods Chap007Business Research Methods Chap007
Business Research Methods Chap007
 
Business Research Methods Chap015
Business Research Methods Chap015Business Research Methods Chap015
Business Research Methods Chap015
 
Business Research Methods Chap010
Business Research Methods Chap010Business Research Methods Chap010
Business Research Methods Chap010
 
Business Research Methods Chap001
Business Research Methods Chap001Business Research Methods Chap001
Business Research Methods Chap001
 
Business Research Methods Chap006
Business Research Methods Chap006Business Research Methods Chap006
Business Research Methods Chap006
 
Business Research Methods Chap009
Business Research Methods Chap009Business Research Methods Chap009
Business Research Methods Chap009
 
Business Research Methods Chap020
Business Research Methods Chap020Business Research Methods Chap020
Business Research Methods Chap020
 
Business Research Methods Chap016
Business Research Methods Chap016Business Research Methods Chap016
Business Research Methods Chap016
 
Business Research Methods Chap014
Business Research Methods Chap014Business Research Methods Chap014
Business Research Methods Chap014
 
Business Research Methods Chap002
Business Research Methods Chap002Business Research Methods Chap002
Business Research Methods Chap002
 
Business Research Methods Chap011
Business Research Methods Chap011Business Research Methods Chap011
Business Research Methods Chap011
 
Comparison of Banking System & Financial System in Italy & Thailand
Comparison of Banking System & Financial System in Italy & ThailandComparison of Banking System & Financial System in Italy & Thailand
Comparison of Banking System & Financial System in Italy & Thailand
 
Business Research Methods Chap012
Business Research Methods Chap012Business Research Methods Chap012
Business Research Methods Chap012
 
Business Research Methods Chap005
Business Research Methods Chap005Business Research Methods Chap005
Business Research Methods Chap005
 
Jawab e Shikwa by Allama Muhammad Iqbal
Jawab e Shikwa by Allama Muhammad IqbalJawab e Shikwa by Allama Muhammad Iqbal
Jawab e Shikwa by Allama Muhammad Iqbal
 
Business Research Methods Chap003
Business Research Methods Chap003 Business Research Methods Chap003
Business Research Methods Chap003
 

Similar to Business Research Methods Chap008

Data types and Attributes1 (1).pptx
Data types and Attributes1 (1).pptxData types and Attributes1 (1).pptx
Data types and Attributes1 (1).pptxRupaRaj6
 
APSY3206 Lecture 1.pptx
APSY3206 Lecture 1.pptxAPSY3206 Lecture 1.pptx
APSY3206 Lecture 1.pptxMariaMalikAwan
 
Introduction to competitive data science
Introduction to competitive data scienceIntroduction to competitive data science
Introduction to competitive data scienceNathaniel Shimoni
 
Data engineering testing services
Data engineering testing servicesData engineering testing services
Data engineering testing servicesNitor Infotech
 
Using ca e rwin modeling to asure data 09162010
Using ca e rwin modeling to asure data 09162010Using ca e rwin modeling to asure data 09162010
Using ca e rwin modeling to asure data 09162010ERwin Modeling
 
Data mining Basics and complete description
Data mining Basics and complete description Data mining Basics and complete description
Data mining Basics and complete description Sulman Ahmed
 
Lecture_4_Data_Gathering_and_Analysis.pdf
Lecture_4_Data_Gathering_and_Analysis.pdfLecture_4_Data_Gathering_and_Analysis.pdf
Lecture_4_Data_Gathering_and_Analysis.pdfAbdullahOmar64
 
Data exploration validation and sanitization
Data exploration validation and sanitizationData exploration validation and sanitization
Data exploration validation and sanitizationVenkata Reddy Konasani
 
Machine Learning Application Development
Machine Learning Application DevelopmentMachine Learning Application Development
Machine Learning Application DevelopmentLARCA UPC
 
1_Design and Analysis of Experiment_Data Science.pptx
1_Design and Analysis of Experiment_Data Science.pptx1_Design and Analysis of Experiment_Data Science.pptx
1_Design and Analysis of Experiment_Data Science.pptxdeepak667128
 
Predictive Analytics-session 1- Data Prep and Investigation.pptx
Predictive Analytics-session 1- Data Prep and Investigation.pptxPredictive Analytics-session 1- Data Prep and Investigation.pptx
Predictive Analytics-session 1- Data Prep and Investigation.pptxAlbertoGuisande
 
TuleapCon 2019. Full traceability from requirements to tests
TuleapCon 2019. Full traceability from requirements to testsTuleapCon 2019. Full traceability from requirements to tests
TuleapCon 2019. Full traceability from requirements to testsTuleap
 

Similar to Business Research Methods Chap008 (20)

Rm8 measurement
Rm8 measurementRm8 measurement
Rm8 measurement
 
Data types and Attributes1 (1).pptx
Data types and Attributes1 (1).pptxData types and Attributes1 (1).pptx
Data types and Attributes1 (1).pptx
 
APSY3206 Lecture 1.pptx
APSY3206 Lecture 1.pptxAPSY3206 Lecture 1.pptx
APSY3206 Lecture 1.pptx
 
SciDB
SciDBSciDB
SciDB
 
Daming
DamingDaming
Daming
 
Introduction to competitive data science
Introduction to competitive data scienceIntroduction to competitive data science
Introduction to competitive data science
 
Data engineering testing services
Data engineering testing servicesData engineering testing services
Data engineering testing services
 
Using ca e rwin modeling to asure data 09162010
Using ca e rwin modeling to asure data 09162010Using ca e rwin modeling to asure data 09162010
Using ca e rwin modeling to asure data 09162010
 
07 Handling of Uncertainties in the Safety Case
07 Handling of Uncertainties in the Safety Case07 Handling of Uncertainties in the Safety Case
07 Handling of Uncertainties in the Safety Case
 
Data analytics, a (short) tour
Data analytics, a (short) tourData analytics, a (short) tour
Data analytics, a (short) tour
 
Data mining Basics and complete description
Data mining Basics and complete description Data mining Basics and complete description
Data mining Basics and complete description
 
Lecture_4_Data_Gathering_and_Analysis.pdf
Lecture_4_Data_Gathering_and_Analysis.pdfLecture_4_Data_Gathering_and_Analysis.pdf
Lecture_4_Data_Gathering_and_Analysis.pdf
 
data mining
data miningdata mining
data mining
 
Part1
Part1Part1
Part1
 
Data exploration validation and sanitization
Data exploration validation and sanitizationData exploration validation and sanitization
Data exploration validation and sanitization
 
Kenett On Information NYU-Poly 2013
Kenett On Information NYU-Poly 2013Kenett On Information NYU-Poly 2013
Kenett On Information NYU-Poly 2013
 
Machine Learning Application Development
Machine Learning Application DevelopmentMachine Learning Application Development
Machine Learning Application Development
 
1_Design and Analysis of Experiment_Data Science.pptx
1_Design and Analysis of Experiment_Data Science.pptx1_Design and Analysis of Experiment_Data Science.pptx
1_Design and Analysis of Experiment_Data Science.pptx
 
Predictive Analytics-session 1- Data Prep and Investigation.pptx
Predictive Analytics-session 1- Data Prep and Investigation.pptxPredictive Analytics-session 1- Data Prep and Investigation.pptx
Predictive Analytics-session 1- Data Prep and Investigation.pptx
 
TuleapCon 2019. Full traceability from requirements to tests
TuleapCon 2019. Full traceability from requirements to testsTuleapCon 2019. Full traceability from requirements to tests
TuleapCon 2019. Full traceability from requirements to tests
 

More from Mazhar Masood

Shikwa by Allama Muhammad Iqbal
Shikwa by Allama Muhammad IqbalShikwa by Allama Muhammad Iqbal
Shikwa by Allama Muhammad IqbalMazhar Masood
 
Manzil (Protection against black magic, witch craft and spell)
Manzil (Protection against black magic, witch craft and spell)Manzil (Protection against black magic, witch craft and spell)
Manzil (Protection against black magic, witch craft and spell)Mazhar Masood
 
Glossary of Human Resources Management Terms
Glossary of Human Resources Management TermsGlossary of Human Resources Management Terms
Glossary of Human Resources Management TermsMazhar Masood
 
Network Marketing Fatwa in Pakistan 07-july-08
Network Marketing Fatwa in Pakistan  07-july-08Network Marketing Fatwa in Pakistan  07-july-08
Network Marketing Fatwa in Pakistan 07-july-08Mazhar Masood
 
Personal Selling: Chapter 12
Personal Selling: Chapter 12Personal Selling: Chapter 12
Personal Selling: Chapter 12Mazhar Masood
 
Personal Selling: Chapter 11
Personal Selling: Chapter 11Personal Selling: Chapter 11
Personal Selling: Chapter 11Mazhar Masood
 
Personal Selling: Chapter 10
Personal Selling: Chapter 10Personal Selling: Chapter 10
Personal Selling: Chapter 10Mazhar Masood
 
Personal Selling: Chapter 9
Personal Selling: Chapter 9Personal Selling: Chapter 9
Personal Selling: Chapter 9Mazhar Masood
 
Personal Selling: Chapter 8
Personal Selling: Chapter 8Personal Selling: Chapter 8
Personal Selling: Chapter 8Mazhar Masood
 
Personal Selling: Chapter 7
Personal Selling: Chapter 7Personal Selling: Chapter 7
Personal Selling: Chapter 7Mazhar Masood
 

More from Mazhar Masood (10)

Shikwa by Allama Muhammad Iqbal
Shikwa by Allama Muhammad IqbalShikwa by Allama Muhammad Iqbal
Shikwa by Allama Muhammad Iqbal
 
Manzil (Protection against black magic, witch craft and spell)
Manzil (Protection against black magic, witch craft and spell)Manzil (Protection against black magic, witch craft and spell)
Manzil (Protection against black magic, witch craft and spell)
 
Glossary of Human Resources Management Terms
Glossary of Human Resources Management TermsGlossary of Human Resources Management Terms
Glossary of Human Resources Management Terms
 
Network Marketing Fatwa in Pakistan 07-july-08
Network Marketing Fatwa in Pakistan  07-july-08Network Marketing Fatwa in Pakistan  07-july-08
Network Marketing Fatwa in Pakistan 07-july-08
 
Personal Selling: Chapter 12
Personal Selling: Chapter 12Personal Selling: Chapter 12
Personal Selling: Chapter 12
 
Personal Selling: Chapter 11
Personal Selling: Chapter 11Personal Selling: Chapter 11
Personal Selling: Chapter 11
 
Personal Selling: Chapter 10
Personal Selling: Chapter 10Personal Selling: Chapter 10
Personal Selling: Chapter 10
 
Personal Selling: Chapter 9
Personal Selling: Chapter 9Personal Selling: Chapter 9
Personal Selling: Chapter 9
 
Personal Selling: Chapter 8
Personal Selling: Chapter 8Personal Selling: Chapter 8
Personal Selling: Chapter 8
 
Personal Selling: Chapter 7
Personal Selling: Chapter 7Personal Selling: Chapter 7
Personal Selling: Chapter 7
 

Business Research Methods Chap008

  • 1. 8-1
  • 2. Part Two THE DESIGN OF RESEARCH 8-2 McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc.,All Rights Reserved.
  • 3. Chapter Eight MEASUREMENT 8-3
  • 4. Measurement • Selecting observable empirical events • Using numbers or symbols to represent aspects of the events • Applying a mapping rule to connect the observation to the symbol 8-4
  • 5. What is Measured? • Objects: – Things of ordinary experience – Some things not concrete • Properties: characteristics of objects 8-5
  • 6. Characteristics of Data • Classification • Order • Distance (interval between numbers) • Origin of number series 8-6
  • 7. Data Types Order Interval Origin Nominal none none none Ordinal yes unequal none Interval yes equal or none unequal Ratio yes equal zero 8-7
  • 8. Sources of Measurement Differences • Respondent • Situational factors • Measurer or researcher • Data collection instrument 8-8
  • 9. Validity • Content Validity • Criterion-Related Validity – Predictive – Concurrent • Construct Validity 8-9
  • 10. Reliability • Stability – Test-retest Equivalence – Parallel forms • Internal Consistency – Split-half – KR20 – Cronbach’s alpha 8-10
  • 11. Practicality • Economy • Convenience • Interpretability 8-11