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By : Elias Lemuye (MSc)
SoEEC / CSE Program
Engineering
Research & Development Methodology
1
November21, 2018
The Scientific Research Process
Computer Science & Engineering UG Program
The Scientific Research Process
 Selecting a Research Topic
 Determining Topic Relevance
 Reviewing the Literature
 Formulation of Research Problem
 Research Design & methodology
 Data Analysis & Interpretation
 Presenting Results
2
Computer Science & Engineering UG Program
1. Selecting a Research Topic
 Developing a topic for investigation naturally
become easier with experience;
 Selecting a topic is a concern for many beginning
researchers.
 Beginning researchers need to pay particular
attention to the available material like journal
articles & archive data.
 Should not attempt to tackle broad research questions, but
should try to isolate a smaller, more practical subtopic for study.
 Should develop an appropriate method of analysis & then
proceed through data analysis & interpretation, to a clear &
concise presentation of results.
3
Computer Science & Engineering UG Program
2. Determining Topic Relevance (1)
 Question 1: Is the topic too broad?
 concentrate on one small area of a field
 Problem: There is a tendency for researchers to choose
topics that, while valuable, are too broad to cover in one
study.
─ Solution: write down the proposed title as a visual
starting point & attempt to dissect the topic into small
questions.
4
Computer Science & Engineering UG Program
2. Determining Topic Relevance (2)
 Question 2: Can the problem really be investigated?
 A topic might prove unsuitable for investigation simply
because the question being asked:
─ has no answer, or cannot be answered with the facilities &
information available.
 Solution/ things to be considered
─ reanalyze the original idea in conformity with practical
considerations.
─ all measurable variables must be operationally defined
─ review available literature to determine whether the topic
has been investigated.
5
Computer Science & Engineering UG Program
2. Determining Topic Relevance (3)
 Question 3: Are the data susceptible to analysis?
 A productive research topic requires collecting data that
can be measured reliably & validly.
 Considerations:
─ having enough data to make the study worthwhile
─ experience with the statistical method selected to analyze &
interpret the data
6
Computer Science & Engineering UG Program
2. Determining Topic Relevance (4)
 Question 4: Is the problem significant?
 Whether the results will have practical or theoretical
value.
─ Will the results add knowledge to the information already
available in the field?
 The goal of all research is to help further the
understanding of the problems & questions in the field of
study; if a study does not do this, it has little value beyond
the experience the researcher acquires from conducting it.
─ This does not mean that all research has to be earth-
shattering.
7
Computer Science & Engineering UG Program
2. Determining Topic Relevance (5)
 Question 5: Can the results of the study be
generalized?
 For a research project to have practical value to be
significant beyond the immediate analysis it must have
external validity;
─ one must be able to generalize from it to other
situations.
8
Computer Science & Engineering UG Program
2. Determining Topic Relevance (6)
 Question 6: What costs & time are involved in the
analysis?
 In many cases the cost of a research study is the sole
determinant of the feasibility of a project.
 Considerations:
─ A carefully itemized list of all materials, equipment, & other
facilities before beginning a research project.
─ financial aid that subsidize research projects.
─ Research studies must be designed in such a way that they
can be completed in the amount of time available.
9
Computer Science & Engineering UG Program
2. Determining Topic Relevance (7)
 Question 7: Is the planned approach appropriate to
the project?
 The most marvelous research idea may be hindered by a
poorly planned method of approach.
 Considerations:
─ Could the study be planned differently to eliminate some of
the expense?
─ A close look at every study is required to plan the best
approach.
10
Computer Science & Engineering UG Program
2. Determining Topic Relevance (8)
 Question 8: Is there any potential harm to the
subjects?
 Carefully analyze whether the project may cause any
physical or psychological harm to the subjects under
evaluation.
─ For example: Will respondents be frightened in any way? Is
there any possibility that the exposure to the research
conditions will have lasting effects?
 Solution:
─ Prepare detailed statements explaining the exact procedures
involved in the research which can help to ensure that
subjects will not be injured in any way.
11
Computer Science & Engineering UG Program
3. Literature Review
 Consulting available literature.
 The review provides information about what was done,
how it was done, & what results were generated.
 It is one of the most important steps in the research
process because it not only allows them to learn
from previous research data but also saves time,
effort, & money.
 Failing to conduct a literature review is as detrimental to a
project as failing to address any of the other steps in the
research process.
12
Computer Science & Engineering UG Program
3. Literature Review
 Literature review will help to ask the following
questions:
 What type of research has been done in the area?
 What has been found in previous studies?
 What suggestions do other researchers make for further
study?
 What has not been investigated?
 How can the proposed study add to our knowledge of the
area?
 What research methods were used in previous studies?
 Answers to these questions will usually help define a
specific hypothesis or research question.
13
Computer Science & Engineering UG Program
4. Formulation of Research Problem(1)
14
Computer Science & Engineering UG Program
4. Formulation of Research Problem(2)
 The most crucial part of the research journey on
which the quality of the entire project depends
 Quite often we all hear that a problem clearly stated is a
problem half solved
 A research problem, in general, refers to some
difficulty which a researcher experiences in the
context of either a theoretical or practical situation &
wants to obtain a solution for the same.
 State the problem as a workable hypothesis or
research question.
15
Computer Science & Engineering UG Program
5. Research Design
 Research design are essentially blueprints, or sets of
plans, for collecting information.
 The ideal design collects a maximum amount of
information with a minimal expenditure of time &
resources.
 The approach selected by the researcher depends on
the purpose of the study & how much money is
available to conduct the analysis.
 Even projects that sound very simple may require a highly
sophisticated & complex research approach.
16
Computer Science & Engineering UG Program
5. Research Design(2)
 Depending on the circumstances, a design may be
brief or very complicated;
 there are no specific guidelines concerning the amount of
detail required for a design. However, all designs
incorporate the steps in the process of collecting &
analyzing the data.
 Researchers must determine how the data will be
collected & analyzed before beginning a research
project.
 Attempting to force a study to follow a particular approach
or statistic after the data have been gathered only invites
error.
17
Computer Science & Engineering UG Program
5. Research Design(3)
18
Computer Science & Engineering UG Program
6. Data Analysis & Interpretation
 Every analysis should be carefully planned &
performed accordingly
 The results must be analyzed with reference to their
external validity & the likelihood of their accuracy.
 Researchers must determine through analysis
whether their work is valid internally & externally.
 An externally valid study is one whose results can be
generalized to the population.
 To assess internal validity, one asks: Does the study really
investigate the proposed research question?
19
Computer Science & Engineering UG Program
Data Analysis & Interpretation(2)
20
Computer Science & Engineering UG Program
6. Data Analysis & Interpretation(3)
21
Computer Science & Engineering UG Program
6. Data Analysis & Interpretation(4)
22
Computer Science & Engineering UG Program
7. Presenting Results(1)
 The format used in presenting results depends on
the purpose of the study.
 However, all presentations of results need to be written in
a clear & concise manner appropriate to both the research
question & the individuals who will read the report.
 Too often, researchers conduct one study & report
the results as if they are providing the basis for a
theory or law.
 However the results of any single study are only
indications of what might exist.
23
Computer Science & Engineering UG Program
7. Presenting Results(2)
 A study provides information that says, in effect,
"This is what may be the case."
 To be relatively certain of the results of any study, the
research must be replicated.
 A research question or hypothesis requires investigation
from many different perspectives before any significance
can be attributed to the results of any one study.
 Researchers overwhelmingly advocate the use of
replication to establish scientific fact.
24
Computer Science & Engineering UG Program
Reflective Thinking
 Key questions to determine the relevance of your
research topic.
 The need to conduct literature review.
 Design & methodology : How to conduct the study &
obtain answer for your research question.
 Formulation of the problem: Stating the problem as
a workable hypothesis or research question.
 Presenting the result in a clear & concise way.
25
Note : There will be separate lecture on each step, from
Literature review to presentation of the result
Computer Science & Engineering UG Program
References
 Elias (2015).Research Methodology in IT. Previous Lecture Note
26

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Lecture5.pdf

  • 1. By : Elias Lemuye (MSc) SoEEC / CSE Program Engineering Research & Development Methodology 1 November21, 2018 The Scientific Research Process
  • 2. Computer Science & Engineering UG Program The Scientific Research Process  Selecting a Research Topic  Determining Topic Relevance  Reviewing the Literature  Formulation of Research Problem  Research Design & methodology  Data Analysis & Interpretation  Presenting Results 2
  • 3. Computer Science & Engineering UG Program 1. Selecting a Research Topic  Developing a topic for investigation naturally become easier with experience;  Selecting a topic is a concern for many beginning researchers.  Beginning researchers need to pay particular attention to the available material like journal articles & archive data.  Should not attempt to tackle broad research questions, but should try to isolate a smaller, more practical subtopic for study.  Should develop an appropriate method of analysis & then proceed through data analysis & interpretation, to a clear & concise presentation of results. 3
  • 4. Computer Science & Engineering UG Program 2. Determining Topic Relevance (1)  Question 1: Is the topic too broad?  concentrate on one small area of a field  Problem: There is a tendency for researchers to choose topics that, while valuable, are too broad to cover in one study. ─ Solution: write down the proposed title as a visual starting point & attempt to dissect the topic into small questions. 4
  • 5. Computer Science & Engineering UG Program 2. Determining Topic Relevance (2)  Question 2: Can the problem really be investigated?  A topic might prove unsuitable for investigation simply because the question being asked: ─ has no answer, or cannot be answered with the facilities & information available.  Solution/ things to be considered ─ reanalyze the original idea in conformity with practical considerations. ─ all measurable variables must be operationally defined ─ review available literature to determine whether the topic has been investigated. 5
  • 6. Computer Science & Engineering UG Program 2. Determining Topic Relevance (3)  Question 3: Are the data susceptible to analysis?  A productive research topic requires collecting data that can be measured reliably & validly.  Considerations: ─ having enough data to make the study worthwhile ─ experience with the statistical method selected to analyze & interpret the data 6
  • 7. Computer Science & Engineering UG Program 2. Determining Topic Relevance (4)  Question 4: Is the problem significant?  Whether the results will have practical or theoretical value. ─ Will the results add knowledge to the information already available in the field?  The goal of all research is to help further the understanding of the problems & questions in the field of study; if a study does not do this, it has little value beyond the experience the researcher acquires from conducting it. ─ This does not mean that all research has to be earth- shattering. 7
  • 8. Computer Science & Engineering UG Program 2. Determining Topic Relevance (5)  Question 5: Can the results of the study be generalized?  For a research project to have practical value to be significant beyond the immediate analysis it must have external validity; ─ one must be able to generalize from it to other situations. 8
  • 9. Computer Science & Engineering UG Program 2. Determining Topic Relevance (6)  Question 6: What costs & time are involved in the analysis?  In many cases the cost of a research study is the sole determinant of the feasibility of a project.  Considerations: ─ A carefully itemized list of all materials, equipment, & other facilities before beginning a research project. ─ financial aid that subsidize research projects. ─ Research studies must be designed in such a way that they can be completed in the amount of time available. 9
  • 10. Computer Science & Engineering UG Program 2. Determining Topic Relevance (7)  Question 7: Is the planned approach appropriate to the project?  The most marvelous research idea may be hindered by a poorly planned method of approach.  Considerations: ─ Could the study be planned differently to eliminate some of the expense? ─ A close look at every study is required to plan the best approach. 10
  • 11. Computer Science & Engineering UG Program 2. Determining Topic Relevance (8)  Question 8: Is there any potential harm to the subjects?  Carefully analyze whether the project may cause any physical or psychological harm to the subjects under evaluation. ─ For example: Will respondents be frightened in any way? Is there any possibility that the exposure to the research conditions will have lasting effects?  Solution: ─ Prepare detailed statements explaining the exact procedures involved in the research which can help to ensure that subjects will not be injured in any way. 11
  • 12. Computer Science & Engineering UG Program 3. Literature Review  Consulting available literature.  The review provides information about what was done, how it was done, & what results were generated.  It is one of the most important steps in the research process because it not only allows them to learn from previous research data but also saves time, effort, & money.  Failing to conduct a literature review is as detrimental to a project as failing to address any of the other steps in the research process. 12
  • 13. Computer Science & Engineering UG Program 3. Literature Review  Literature review will help to ask the following questions:  What type of research has been done in the area?  What has been found in previous studies?  What suggestions do other researchers make for further study?  What has not been investigated?  How can the proposed study add to our knowledge of the area?  What research methods were used in previous studies?  Answers to these questions will usually help define a specific hypothesis or research question. 13
  • 14. Computer Science & Engineering UG Program 4. Formulation of Research Problem(1) 14
  • 15. Computer Science & Engineering UG Program 4. Formulation of Research Problem(2)  The most crucial part of the research journey on which the quality of the entire project depends  Quite often we all hear that a problem clearly stated is a problem half solved  A research problem, in general, refers to some difficulty which a researcher experiences in the context of either a theoretical or practical situation & wants to obtain a solution for the same.  State the problem as a workable hypothesis or research question. 15
  • 16. Computer Science & Engineering UG Program 5. Research Design  Research design are essentially blueprints, or sets of plans, for collecting information.  The ideal design collects a maximum amount of information with a minimal expenditure of time & resources.  The approach selected by the researcher depends on the purpose of the study & how much money is available to conduct the analysis.  Even projects that sound very simple may require a highly sophisticated & complex research approach. 16
  • 17. Computer Science & Engineering UG Program 5. Research Design(2)  Depending on the circumstances, a design may be brief or very complicated;  there are no specific guidelines concerning the amount of detail required for a design. However, all designs incorporate the steps in the process of collecting & analyzing the data.  Researchers must determine how the data will be collected & analyzed before beginning a research project.  Attempting to force a study to follow a particular approach or statistic after the data have been gathered only invites error. 17
  • 18. Computer Science & Engineering UG Program 5. Research Design(3) 18
  • 19. Computer Science & Engineering UG Program 6. Data Analysis & Interpretation  Every analysis should be carefully planned & performed accordingly  The results must be analyzed with reference to their external validity & the likelihood of their accuracy.  Researchers must determine through analysis whether their work is valid internally & externally.  An externally valid study is one whose results can be generalized to the population.  To assess internal validity, one asks: Does the study really investigate the proposed research question? 19
  • 20. Computer Science & Engineering UG Program Data Analysis & Interpretation(2) 20
  • 21. Computer Science & Engineering UG Program 6. Data Analysis & Interpretation(3) 21
  • 22. Computer Science & Engineering UG Program 6. Data Analysis & Interpretation(4) 22
  • 23. Computer Science & Engineering UG Program 7. Presenting Results(1)  The format used in presenting results depends on the purpose of the study.  However, all presentations of results need to be written in a clear & concise manner appropriate to both the research question & the individuals who will read the report.  Too often, researchers conduct one study & report the results as if they are providing the basis for a theory or law.  However the results of any single study are only indications of what might exist. 23
  • 24. Computer Science & Engineering UG Program 7. Presenting Results(2)  A study provides information that says, in effect, "This is what may be the case."  To be relatively certain of the results of any study, the research must be replicated.  A research question or hypothesis requires investigation from many different perspectives before any significance can be attributed to the results of any one study.  Researchers overwhelmingly advocate the use of replication to establish scientific fact. 24
  • 25. Computer Science & Engineering UG Program Reflective Thinking  Key questions to determine the relevance of your research topic.  The need to conduct literature review.  Design & methodology : How to conduct the study & obtain answer for your research question.  Formulation of the problem: Stating the problem as a workable hypothesis or research question.  Presenting the result in a clear & concise way. 25 Note : There will be separate lecture on each step, from Literature review to presentation of the result
  • 26. Computer Science & Engineering UG Program References  Elias (2015).Research Methodology in IT. Previous Lecture Note 26