SlideShare a Scribd company logo
1 of 18
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 1
RESEARCH
METHODOLOGY
(Business Research Methods)
Week 13
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 2
Editing and Coding Data
 Editing is the process of checking data for errors such as
omissions, illegibility and inconsistency, and correcting
data where and when the need arises
 Example 1: A questionnaire meant to be answered by
adults over the age of 30 years has also been answered
by some persons under the age of 30 years
 Example 2: A respondent gives her birthday as 1865 or
claims to have a car insurance but says she doesn‘t own
a car
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 3
Field Editing and In-House Editing
 Field Editing is a prelimary form of data editing
which is undertaken by the field supervisor on
the day of the interview with a view to finding
omissions, checking the legibility of handwriting,
and clarifying responses by respondents that are
logically or conceptually inconsistent
 In-House Editing is a form of data editing which
is more rigorous than field editing in nature, and
which is performed by a centralized office staff
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 4
Data Consistency and Completeness
 The data obtained from a questionnaire must be logically
consistent, especially when questions are related
 Sometimes inconsistency of data may not be readily
apparent. In this case, the data editor must judge what
action to take (example: Salary of the CEO of a big
corporation is given as USD 25,000 per annum)
 Circumstances permitting, the data editor may have to
insert data if answers to questions have been omitted by
the respondent, but which can be answered on the basis
of the other data obtained (example: respondent does
not answer a question asking if his organization has a
website, but somewhere later answers that the
organization has three websites)
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 5
Non-Responses and Out-Of-Order
Answers
 Often, questions are left unanswered by
respondents (Item Non-Response). In such
cases, where data must be inserted, the data
editor has some options such as using a „plug
value“ according to some prespecified rule
 Sometimes respondents give answers to (open-
ended) questions in other questions. In such
cases, data has to be shifted around the
questions
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 6
Some Observations on Editing
 Editing of data should, deally, be done wih a coloured
pencil and the original data must not be erased in case it
is required for future reference
 Data editing should be conducted systematically on the
basis of procedures made by professionals
 Data editing should be included in the pretest phase of a
questionnaire, in order to improve the quality of a
questionnaire
 Data editing has drawbacks, such as, the editor does not
possess the required level of intelligence, experience
and objectivity
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 7
Data Coding
 Data Coding follows data editing and is the
means by which data can be converted into a
format that enables its processing and analysis
by the computer
 Data Coding incorporates a number of technical
steps and can be a tedious proceess
 For details of data coding process, refer to your
text book pp. 457 ff.
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 8
Research Report, Presentation,
Follow-Up
 The research report is the crucial means for communicating the
whole project to those individuals or entities who or which
commissioned the research
 A research report may be in writing, verbal, or a combination of both
 It is essential that great effort is put into writing a good research
report because it is often the only part of the research cycle that end
users get to see!
 A great research based on a well-conceived approach will go to
waste if the research report leaves a bad impression on the end
users of that research
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 9
Communicating the Research
Report
 The business researcher should carefully
consider how he or she is going to communicate
the information to the end user
 The business researcher should take pains to
ensure that he/she and the research end-user
are at the same communicational level, i.e., that
the terminology used in the report is
understandable and that the end-user is
presented with all the information neded to make
an informed decision
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 10
Research Report Templates
There is no universally applied template
for writing a research report, rather, there
is a general consensus on what
constitutes a good research report
Many organizations have designed their
own in-house formats for reports and
specified what aspects must be included
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 11
Research Report Design Template
Research Report
Prefatory
Parts
Main
Body
Appended
Parts
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 12
Research Report Components (1)
PREFATORY PARTS
Title Page
Letter of
Transmittal
Letter of
Authorization
Table of
Contents
Objectives
Results
Conclusions
Recommendations
Summary
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 13
Research Report Components (2)
MAIN BODY
Introduction
Methodology
Limitations
Conclusions
and
Recommen-
dations
Area 1
Area 2
Final Area
Results
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 14
Research Report Components (3)
APPENDED PARTS
Data Collection
Forms
Detailed
Calculations
General Tables
Bibliography
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 15
Graphic Aids in Research Reports
 In research reports, several types of graphical
components may be used, including, for example: tables,
charts and graphs in their diverse manifestations,
diagrams, maps, photographic or computer-generated
images, sketches etc.
 Graphical components are a useful supplement to – but
not a substitute for – written text because they can
convey a lot of information and are visually appealing,
particularly if they are in colour
 Software programmes like MS Excel make the task of
creating graphics from raw data easy and quick
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 16
Oral Presentations (1)
 Oral presentations are a useful supplement to written
research reports because they enable the salient
findings of the research to be presented at any time, and
they give listeners the opportunity to raise questions and
clarify any ambiguous issues or points
 The researcher giving the oral presentation must be very
well prepared to defend the results of his or her written
report in a confident and competent manner so that the
individuals who will be making decisions on the basis of
the report are convinced of its importance and accuracy
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 17
Oral Presentations (2)
 The researcher should try to maintain good
communication with the listeners by avoiding excessive
technical jargon if and when dealing with persons from
other disciplines
 The researcher should avoid simply reading out text,
maintain eye contact with his or her listeners, and
gesture occasionaly
 Multimedia aids can be considered as can posters or
handouts
29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 18
Research Follow-Up Work
 After the research has been completed, and
information submitted to the manager or
decision-makers concerned, follow-up work may
be necessary
 Follow-up includes recontacting the managers or
decision-makers concerned and asking them if
the research has met their informational
requirements, or whether additional input is or
may be needed

More Related Content

Similar to RM13.ppt

Lecture5.pdf
Lecture5.pdfLecture5.pdf
Lecture5.pdfTake1As
 
Defining and Refining the 'Research Problem'
Defining and Refining the 'Research Problem'Defining and Refining the 'Research Problem'
Defining and Refining the 'Research Problem'Muhammad Ayyoub, PhD
 
Research methods for managers - Questions
Research methods for managers - QuestionsResearch methods for managers - Questions
Research methods for managers - QuestionsNijaz N
 
Research Methods Chapter- Masters' Dissertation
Research Methods Chapter- Masters' DissertationResearch Methods Chapter- Masters' Dissertation
Research Methods Chapter- Masters' DissertationAyat A. Saleh
 
20 4 10 Final Version Campus Workshop Bapp Wbs3835 Qual R
20 4 10 Final Version Campus Workshop Bapp Wbs3835 Qual R20 4 10 Final Version Campus Workshop Bapp Wbs3835 Qual R
20 4 10 Final Version Campus Workshop Bapp Wbs3835 Qual RPaula Nottingham
 
Answer Sheet of Internal exam 2018, Statistics
Answer Sheet of Internal exam 2018, StatisticsAnswer Sheet of Internal exam 2018, Statistics
Answer Sheet of Internal exam 2018, StatisticsBasudev Sharma
 
research proposal writting chapter 2
research proposal writting chapter 2research proposal writting chapter 2
research proposal writting chapter 2EthioJohn
 
Importance and Challenges of Reproducible Research
Importance and Challenges of Reproducible ResearchImportance and Challenges of Reproducible Research
Importance and Challenges of Reproducible ResearchVladimir Kanchev
 
seminar by Adinew Tedasse.pptx
seminar by Adinew Tedasse.pptxseminar by Adinew Tedasse.pptx
seminar by Adinew Tedasse.pptxAbdellaKarime
 
BA (HONS) FASHION BUYING AND MERCHANDISING RESE.docx
BA (HONS) FASHION BUYING AND MERCHANDISING RESE.docxBA (HONS) FASHION BUYING AND MERCHANDISING RESE.docx
BA (HONS) FASHION BUYING AND MERCHANDISING RESE.docxmadlynplamondon
 
Network Simulator 2 Projects for Master Thesis Students
Network Simulator 2 Projects for Master Thesis StudentsNetwork Simulator 2 Projects for Master Thesis Students
Network Simulator 2 Projects for Master Thesis StudentsPhdtopiccom
 
Mb0050 research methodology (1)
Mb0050   research methodology (1)Mb0050   research methodology (1)
Mb0050 research methodology (1)smumbahelp
 

Similar to RM13.ppt (20)

RM7.ppt
RM7.pptRM7.ppt
RM7.ppt
 
Research methodology week03
Research methodology week03Research methodology week03
Research methodology week03
 
Lecture5.pdf
Lecture5.pdfLecture5.pdf
Lecture5.pdf
 
Defining and Refining the 'Research Problem'
Defining and Refining the 'Research Problem'Defining and Refining the 'Research Problem'
Defining and Refining the 'Research Problem'
 
Research methods for managers - Questions
Research methods for managers - QuestionsResearch methods for managers - Questions
Research methods for managers - Questions
 
Research Methods Chapter- Masters' Dissertation
Research Methods Chapter- Masters' DissertationResearch Methods Chapter- Masters' Dissertation
Research Methods Chapter- Masters' Dissertation
 
20 4 10 Final Version Campus Workshop Bapp Wbs3835 Qual R
20 4 10 Final Version Campus Workshop Bapp Wbs3835 Qual R20 4 10 Final Version Campus Workshop Bapp Wbs3835 Qual R
20 4 10 Final Version Campus Workshop Bapp Wbs3835 Qual R
 
BMSCE Presentation 25-11-2022.pptx
BMSCE Presentation 25-11-2022.pptxBMSCE Presentation 25-11-2022.pptx
BMSCE Presentation 25-11-2022.pptx
 
RM8.ppt
RM8.pptRM8.ppt
RM8.ppt
 
Answer Sheet of Internal exam 2018, Statistics
Answer Sheet of Internal exam 2018, StatisticsAnswer Sheet of Internal exam 2018, Statistics
Answer Sheet of Internal exam 2018, Statistics
 
research proposal writting chapter 2
research proposal writting chapter 2research proposal writting chapter 2
research proposal writting chapter 2
 
Resarch Proposal
Resarch ProposalResarch Proposal
Resarch Proposal
 
Cja 334 week 2 d qs
Cja 334 week 2 d qsCja 334 week 2 d qs
Cja 334 week 2 d qs
 
Importance and Challenges of Reproducible Research
Importance and Challenges of Reproducible ResearchImportance and Challenges of Reproducible Research
Importance and Challenges of Reproducible Research
 
seminar by Adinew Tedasse.pptx
seminar by Adinew Tedasse.pptxseminar by Adinew Tedasse.pptx
seminar by Adinew Tedasse.pptx
 
BA (HONS) FASHION BUYING AND MERCHANDISING RESE.docx
BA (HONS) FASHION BUYING AND MERCHANDISING RESE.docxBA (HONS) FASHION BUYING AND MERCHANDISING RESE.docx
BA (HONS) FASHION BUYING AND MERCHANDISING RESE.docx
 
0.course outcline
0.course outcline0.course outcline
0.course outcline
 
BSc Project Management
BSc  Project ManagementBSc  Project Management
BSc Project Management
 
Network Simulator 2 Projects for Master Thesis Students
Network Simulator 2 Projects for Master Thesis StudentsNetwork Simulator 2 Projects for Master Thesis Students
Network Simulator 2 Projects for Master Thesis Students
 
Mb0050 research methodology (1)
Mb0050   research methodology (1)Mb0050   research methodology (1)
Mb0050 research methodology (1)
 

More from narman1402

More from narman1402 (20)

chap009.ppt
chap009.pptchap009.ppt
chap009.ppt
 
chap004.ppt
chap004.pptchap004.ppt
chap004.ppt
 
chap007.ppt
chap007.pptchap007.ppt
chap007.ppt
 
chap012.ppt
chap012.pptchap012.ppt
chap012.ppt
 
chap006.ppt
chap006.pptchap006.ppt
chap006.ppt
 
chap003.ppt
chap003.pptchap003.ppt
chap003.ppt
 
chap011.ppt
chap011.pptchap011.ppt
chap011.ppt
 
chap008.ppt
chap008.pptchap008.ppt
chap008.ppt
 
chap002.ppt
chap002.pptchap002.ppt
chap002.ppt
 
chap013.ppt
chap013.pptchap013.ppt
chap013.ppt
 
chap010.ppt
chap010.pptchap010.ppt
chap010.ppt
 
chap005.ppt
chap005.pptchap005.ppt
chap005.ppt
 
chap001.ppt
chap001.pptchap001.ppt
chap001.ppt
 
chap019.ppt
chap019.pptchap019.ppt
chap019.ppt
 
chap014.ppt
chap014.pptchap014.ppt
chap014.ppt
 
chap021.ppt
chap021.pptchap021.ppt
chap021.ppt
 
chap016.ppt
chap016.pptchap016.ppt
chap016.ppt
 
chap024.ppt
chap024.pptchap024.ppt
chap024.ppt
 
chap018.ppt
chap018.pptchap018.ppt
chap018.ppt
 
chap020.ppt
chap020.pptchap020.ppt
chap020.ppt
 

Recently uploaded

80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...Nguyen Thanh Tu Collection
 
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPSSpellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPSAnaAcapella
 
Diuretic, Hypoglycemic and Limit test of Heavy metals and Arsenic.-1.pdf
Diuretic, Hypoglycemic and Limit test of Heavy metals and Arsenic.-1.pdfDiuretic, Hypoglycemic and Limit test of Heavy metals and Arsenic.-1.pdf
Diuretic, Hypoglycemic and Limit test of Heavy metals and Arsenic.-1.pdfKartik Tiwari
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Jisc
 
Details on CBSE Compartment Exam.pptx1111
Details on CBSE Compartment Exam.pptx1111Details on CBSE Compartment Exam.pptx1111
Details on CBSE Compartment Exam.pptx1111GangaMaiya1
 
Tatlong Kwento ni Lola basyang-1.pdf arts
Tatlong Kwento ni Lola basyang-1.pdf artsTatlong Kwento ni Lola basyang-1.pdf arts
Tatlong Kwento ni Lola basyang-1.pdf artsNbelano25
 
diagnosting testing bsc 2nd sem.pptx....
diagnosting testing bsc 2nd sem.pptx....diagnosting testing bsc 2nd sem.pptx....
diagnosting testing bsc 2nd sem.pptx....Ritu480198
 
Simple, Complex, and Compound Sentences Exercises.pdf
Simple, Complex, and Compound Sentences Exercises.pdfSimple, Complex, and Compound Sentences Exercises.pdf
Simple, Complex, and Compound Sentences Exercises.pdfstareducators107
 
Wellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxWellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxJisc
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - Englishneillewis46
 
SPLICE Working Group: Reusable Code Examples
SPLICE Working Group:Reusable Code ExamplesSPLICE Working Group:Reusable Code Examples
SPLICE Working Group: Reusable Code ExamplesPeter Brusilovsky
 
dusjagr & nano talk on open tools for agriculture research and learning
dusjagr & nano talk on open tools for agriculture research and learningdusjagr & nano talk on open tools for agriculture research and learning
dusjagr & nano talk on open tools for agriculture research and learningMarc Dusseiller Dusjagr
 
What is 3 Way Matching Process in Odoo 17.pptx
What is 3 Way Matching Process in Odoo 17.pptxWhat is 3 Way Matching Process in Odoo 17.pptx
What is 3 Way Matching Process in Odoo 17.pptxCeline George
 
How to Manage Call for Tendor in Odoo 17
How to Manage Call for Tendor in Odoo 17How to Manage Call for Tendor in Odoo 17
How to Manage Call for Tendor in Odoo 17Celine George
 
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxHMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxmarlenawright1
 
21st_Century_Skills_Framework_Final_Presentation_2.pptx
21st_Century_Skills_Framework_Final_Presentation_2.pptx21st_Century_Skills_Framework_Final_Presentation_2.pptx
21st_Century_Skills_Framework_Final_Presentation_2.pptxJoelynRubio1
 
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfDr Vijay Vishwakarma
 
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...EADTU
 
REMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxREMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxDr. Ravikiran H M Gowda
 
Model Attribute _rec_name in the Odoo 17
Model Attribute _rec_name in the Odoo 17Model Attribute _rec_name in the Odoo 17
Model Attribute _rec_name in the Odoo 17Celine George
 

Recently uploaded (20)

80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
 
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPSSpellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
 
Diuretic, Hypoglycemic and Limit test of Heavy metals and Arsenic.-1.pdf
Diuretic, Hypoglycemic and Limit test of Heavy metals and Arsenic.-1.pdfDiuretic, Hypoglycemic and Limit test of Heavy metals and Arsenic.-1.pdf
Diuretic, Hypoglycemic and Limit test of Heavy metals and Arsenic.-1.pdf
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
Details on CBSE Compartment Exam.pptx1111
Details on CBSE Compartment Exam.pptx1111Details on CBSE Compartment Exam.pptx1111
Details on CBSE Compartment Exam.pptx1111
 
Tatlong Kwento ni Lola basyang-1.pdf arts
Tatlong Kwento ni Lola basyang-1.pdf artsTatlong Kwento ni Lola basyang-1.pdf arts
Tatlong Kwento ni Lola basyang-1.pdf arts
 
diagnosting testing bsc 2nd sem.pptx....
diagnosting testing bsc 2nd sem.pptx....diagnosting testing bsc 2nd sem.pptx....
diagnosting testing bsc 2nd sem.pptx....
 
Simple, Complex, and Compound Sentences Exercises.pdf
Simple, Complex, and Compound Sentences Exercises.pdfSimple, Complex, and Compound Sentences Exercises.pdf
Simple, Complex, and Compound Sentences Exercises.pdf
 
Wellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxWellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptx
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
SPLICE Working Group: Reusable Code Examples
SPLICE Working Group:Reusable Code ExamplesSPLICE Working Group:Reusable Code Examples
SPLICE Working Group: Reusable Code Examples
 
dusjagr & nano talk on open tools for agriculture research and learning
dusjagr & nano talk on open tools for agriculture research and learningdusjagr & nano talk on open tools for agriculture research and learning
dusjagr & nano talk on open tools for agriculture research and learning
 
What is 3 Way Matching Process in Odoo 17.pptx
What is 3 Way Matching Process in Odoo 17.pptxWhat is 3 Way Matching Process in Odoo 17.pptx
What is 3 Way Matching Process in Odoo 17.pptx
 
How to Manage Call for Tendor in Odoo 17
How to Manage Call for Tendor in Odoo 17How to Manage Call for Tendor in Odoo 17
How to Manage Call for Tendor in Odoo 17
 
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxHMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
 
21st_Century_Skills_Framework_Final_Presentation_2.pptx
21st_Century_Skills_Framework_Final_Presentation_2.pptx21st_Century_Skills_Framework_Final_Presentation_2.pptx
21st_Century_Skills_Framework_Final_Presentation_2.pptx
 
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
 
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
 
REMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxREMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptx
 
Model Attribute _rec_name in the Odoo 17
Model Attribute _rec_name in the Odoo 17Model Attribute _rec_name in the Odoo 17
Model Attribute _rec_name in the Odoo 17
 

RM13.ppt

  • 1. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 1 RESEARCH METHODOLOGY (Business Research Methods) Week 13
  • 2. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 2 Editing and Coding Data  Editing is the process of checking data for errors such as omissions, illegibility and inconsistency, and correcting data where and when the need arises  Example 1: A questionnaire meant to be answered by adults over the age of 30 years has also been answered by some persons under the age of 30 years  Example 2: A respondent gives her birthday as 1865 or claims to have a car insurance but says she doesn‘t own a car
  • 3. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 3 Field Editing and In-House Editing  Field Editing is a prelimary form of data editing which is undertaken by the field supervisor on the day of the interview with a view to finding omissions, checking the legibility of handwriting, and clarifying responses by respondents that are logically or conceptually inconsistent  In-House Editing is a form of data editing which is more rigorous than field editing in nature, and which is performed by a centralized office staff
  • 4. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 4 Data Consistency and Completeness  The data obtained from a questionnaire must be logically consistent, especially when questions are related  Sometimes inconsistency of data may not be readily apparent. In this case, the data editor must judge what action to take (example: Salary of the CEO of a big corporation is given as USD 25,000 per annum)  Circumstances permitting, the data editor may have to insert data if answers to questions have been omitted by the respondent, but which can be answered on the basis of the other data obtained (example: respondent does not answer a question asking if his organization has a website, but somewhere later answers that the organization has three websites)
  • 5. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 5 Non-Responses and Out-Of-Order Answers  Often, questions are left unanswered by respondents (Item Non-Response). In such cases, where data must be inserted, the data editor has some options such as using a „plug value“ according to some prespecified rule  Sometimes respondents give answers to (open- ended) questions in other questions. In such cases, data has to be shifted around the questions
  • 6. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 6 Some Observations on Editing  Editing of data should, deally, be done wih a coloured pencil and the original data must not be erased in case it is required for future reference  Data editing should be conducted systematically on the basis of procedures made by professionals  Data editing should be included in the pretest phase of a questionnaire, in order to improve the quality of a questionnaire  Data editing has drawbacks, such as, the editor does not possess the required level of intelligence, experience and objectivity
  • 7. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 7 Data Coding  Data Coding follows data editing and is the means by which data can be converted into a format that enables its processing and analysis by the computer  Data Coding incorporates a number of technical steps and can be a tedious proceess  For details of data coding process, refer to your text book pp. 457 ff.
  • 8. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 8 Research Report, Presentation, Follow-Up  The research report is the crucial means for communicating the whole project to those individuals or entities who or which commissioned the research  A research report may be in writing, verbal, or a combination of both  It is essential that great effort is put into writing a good research report because it is often the only part of the research cycle that end users get to see!  A great research based on a well-conceived approach will go to waste if the research report leaves a bad impression on the end users of that research
  • 9. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 9 Communicating the Research Report  The business researcher should carefully consider how he or she is going to communicate the information to the end user  The business researcher should take pains to ensure that he/she and the research end-user are at the same communicational level, i.e., that the terminology used in the report is understandable and that the end-user is presented with all the information neded to make an informed decision
  • 10. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 10 Research Report Templates There is no universally applied template for writing a research report, rather, there is a general consensus on what constitutes a good research report Many organizations have designed their own in-house formats for reports and specified what aspects must be included
  • 11. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 11 Research Report Design Template Research Report Prefatory Parts Main Body Appended Parts
  • 12. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 12 Research Report Components (1) PREFATORY PARTS Title Page Letter of Transmittal Letter of Authorization Table of Contents Objectives Results Conclusions Recommendations Summary
  • 13. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 13 Research Report Components (2) MAIN BODY Introduction Methodology Limitations Conclusions and Recommen- dations Area 1 Area 2 Final Area Results
  • 14. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 14 Research Report Components (3) APPENDED PARTS Data Collection Forms Detailed Calculations General Tables Bibliography
  • 15. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 15 Graphic Aids in Research Reports  In research reports, several types of graphical components may be used, including, for example: tables, charts and graphs in their diverse manifestations, diagrams, maps, photographic or computer-generated images, sketches etc.  Graphical components are a useful supplement to – but not a substitute for – written text because they can convey a lot of information and are visually appealing, particularly if they are in colour  Software programmes like MS Excel make the task of creating graphics from raw data easy and quick
  • 16. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 16 Oral Presentations (1)  Oral presentations are a useful supplement to written research reports because they enable the salient findings of the research to be presented at any time, and they give listeners the opportunity to raise questions and clarify any ambiguous issues or points  The researcher giving the oral presentation must be very well prepared to defend the results of his or her written report in a confident and competent manner so that the individuals who will be making decisions on the basis of the report are convinced of its importance and accuracy
  • 17. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 17 Oral Presentations (2)  The researcher should try to maintain good communication with the listeners by avoiding excessive technical jargon if and when dealing with persons from other disciplines  The researcher should avoid simply reading out text, maintain eye contact with his or her listeners, and gesture occasionaly  Multimedia aids can be considered as can posters or handouts
  • 18. 29 August 2005 MBA III (Research Methodology) Course Instructor: Dr. Aurangzeb Z. Khan 18 Research Follow-Up Work  After the research has been completed, and information submitted to the manager or decision-makers concerned, follow-up work may be necessary  Follow-up includes recontacting the managers or decision-makers concerned and asking them if the research has met their informational requirements, or whether additional input is or may be needed