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Research Methodology & IPR Course Material

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RM & IPR UNIT 1
1.
With a clear flow chart, explain the research process.
1. Formulating the research problem:
2. Extensive literature survey:
3. Development of working hypotheses:
4. Preparing the research design:
5. Determining sample design:
6. Collecting the data:
7. Execution of the project:
8. Analysis of data:
9. Hypothesis-testing:
10. Generalisations and interpretation:
2. How do researchers in India encounter the problems?
1.​ lack of a scientific training
2.​ insufficient interaction
3.​ business units in our country do not have the confidence
4.​ Research studies overlapping one another
5.​ code of conduct for researchers
6.​ the difficulty of adequate and timely secretarial assistance
7.​ Library management and functioning not satisfactory
8.​ problem that many of our libraries are not able to get copies of old
and new Acts/Rules,
9.​ difficulty of timely availability of published data
10.​ problem of conceptualization and also problems relating to the
process of data collection
3. Explain in detail the techniques involved in defining a research
problem
-​ What is a research problem
-​ Selecting the problem
-​ Necessity of Defining the problem
-​ Technique involved in defining a problem
-​ Statement of the problem in a general way.
-​ Understanding the nature of the problem.
-​ Surveying the available literature.
-​ Developing the ideas through discussions.
-​ Rephrasing the research problem.
4. What is the research problem? Explain the necessity of defining
a research problem.
A research problem is a specific issue, difficulty, or gap in knowledge
that a researcher aims to address or solve through their study. It is the
foundation of any research project and guides the entire investigation
process.
-​ Provides Focus: Clearly defines the objective and scope of the
research.
-​ Guides Methodology: Helps in choosing appropriate methods
and tools for investigation.
-​ Establishes Relevance: Demonstrates the importance and
significance of the study.
-​ Avoids Ambiguity: Prevents the research from becoming vague
or directionless.
-​ Resource Optimization: Ensures efficient use of time, effort, and
resources.
-​ Forms Hypotheses: Lays the foundation for formulating research
questions or hypotheses.
-​ Ensures Originality: Helps identify gaps in existing literature to
contribute new knowledge.
5. List any six points that motivate research.
Points that Motivate Research:
A.​Curiosity for Knowledge: A desire to explore and understand
unknown phenomena or concepts.
B.​Solving Practical Problems: Addressing real-world challenges or
finding solutions to pressing issues.
C.​Advancing Science and Technology: Contributing to innovation,
progress, and discovery in various fields.
D.​Filling Knowledge Gaps: Bridging gaps in existing research or
expanding the understanding of a subject.
E.​Societal Benefit: Improving quality of life, addressing societal
needs, or shaping policies.
F.​ Career and Academic Growth: Achieving personal goals such as
academic recognition, funding, or professional development.
6. What do you mean by research? Explain its significance in
modern times.
The systematic method consisting of enunciating the problem,
formulating a hypothesis, collecting the facts or data, analyzing the
facts and reaching certain conclusions either in the form of solutions(s)
towards the concerned problem or in certain generalizations for some
theoretical formulation.
Significance of Research in Modern Times:
1.​ Innovation and Development: Drives technological and scientific
advancements.
2.​ Problem-Solving: Addresses societal, environmental, and
economic challenges.
3.​ Policy Formulation: Provides evidence-based solutions for
informed decision-making.
4.​ Improving Quality of Life: Advances in healthcare, education,
and infrastructure through research.
5.​ Global Competitiveness: Encourages nations to stay ahead in
science, technology, and industry.
6.​ Knowledge Expansion: Contributes to academia and helps in
understanding complex phenomena.
7. Distinguish
methodology.
between
Research
methods
and
Research
Definition:
●​ Research Methods: Specific techniques or tools used to collect
and analyze data (e.g., surveys, experiments, interviews).
●​ Research Methodology: The overall framework or strategy
guiding the research process, including the rationale behind using
certain methods.
Scope:
●​ Research Methods: Narrow focus on data collection and analysis.
●​ Research Methodology: Broader focus, covering the entire
research design and approach.
Objective:
●​ Research Methods: To gather accurate and relevant data for a
specific research question.
●​ Research Methodology: To ensure the research is systematic,
valid, and aligns with the objectives.
Components:
●​ Research Methods: Include quantitative methods (e.g., statistical
analysis) and qualitative methods (e.g., content analysis).
●​ Research Methodology: Includes research philosophy, data
collection strategy, sampling techniques, and data analysis
methods.
Purpose:
●​ Research Methods: Practical application to solve a problem or
answer a question.
●​ Research Methodology: Theoretical explanation of why and how
certain methods are chosen.
Interdependence:
●​ Research Methods: Are part of the research methodology.
●​ Research Methodology: Encompasses and justifies the use of
specific research methods.
8. Write short notes on:
(1) Motivation in research;
(2) Objectives of research;
(3) Criteria of good research;
(4) Research and scientific method.
1. Motivation in Research:
●​ Key Motivators:
○​ Curiosity to gain knowledge.
○​ Solving practical problems.
○​ Contributing to societal or technological advancements.
○​ Achieving academic or professional growth.
○​ Addressing gaps in existing literature.
○​ Fulfilling personal or organizational goals.
2. Objectives of Research:
●​ Primary Objectives:
○​ Discovering new facts or knowledge.
○​ Verifying and testing existing theories.
○​ Solving specific problems or challenges.
○​ Analyzing causal relationships between variables.
○​ Developing new tools, techniques, or methods.
○​ Supporting decision-making and policy formulation.
3. Criteria of Good Research:
●​ Characteristics:
○​ Clarity: Clear objectives and problem definition.
○​ Systematic: Follows a structured approach.
○​ Empirical: Based on real-world observations and evidence.
○​ Replicable: Can be reproduced under similar conditions.
○​ Ethical: Respects ethical standards and avoids bias.
○​ Relevant: Addresses significant and practical problems.
4. Research and Scientific Method:
●​ Research: A broader process of inquiry to generate new
knowledge.
●​ Scientific Method: A systematic, logical, and evidence-based
approach to research.
●​ Steps in the Scientific Method:
○​ Define the problem or question.
○​ Formulate a hypothesis.
○​ Collect data through observation or experimentation.
○​ Analyze and interpret data.
○​ Draw conclusions and validate findings.
○​ Significance: Ensures reliability, objectivity, and accuracy in
research.
9. “A research scholar has to work as a judge and derive the truth
and not as a pleader who is only eager to prove his case in favour
of his plaintiff.” Discuss the statement pointing out the objectives
of the research.
-​ The statement emphasizes the objectivity and unbiased nature of
research.
-​ A research scholar should approach problems with an open mind,
seeking the truth rather than trying to prove preconceived notions
or personal biases.
-​ Unlike a pleader, who selectively uses evidence to favor their
client, a researcher must evaluate all evidence impartially and
derive conclusions based solely on facts and logic.
Importance of Objectivity in Research:
●​ Prevents bias and ensures credibility.
●​ Encourages reproducibility and validation by others.
●​ Builds trust in the scientific and academic community.
By working like a judge and not a pleader, a research scholar ensures
that their work is ethical, credible, and contributes meaningfully to the
field of study.
10. “Defining the research problem often follows a sequential
pattern”. Explain.
❖​Identify a Topic: Choose a broad area of interest.
❖​Review Literature: Find gaps or unresolved issues.
❖​Refine the Focus: Narrow down to a specific aspect.
❖​Formulate Questions: Create clear, guiding research questions.
❖​Check Feasibility: Ensure practicality with resources.
❖​Set Objectives: Define precise research goals.
❖​Draft Statement: Write a concise problem summary.
11. Discuss the different types of engineering research. Point out
the differences between all of them with examples.
-Descriptive research includes surveys and fact-finding enquiries of
different kinds. The major purpose of descriptive research is description
of the state of affairs as it exists at present. (Ex post facto research)
-Analytical research, the researcher has to use facts or information
already available, and analyze these to make a critical evaluation of the
material.
-Applied research aims at finding a solution for an immediate problem
facing a society or an industrial/business organization.
-Fundamental research is mainly concerned with generalizations and
with the formulation of a theory. (Related to natural phenomenon, pure
mathematics)
-Quantitative research is based on the measurement of quantity or
amount. It is applicable to phenomena that can be expressed in terms of
quantity.
-Qualitative research is concerned with qualitative phenomenon, i.e.,
phenomena relating to or involving quality or kind. This type of research
aims at discovering the underlying motives and desires, using in depth
interviews for the purpose.
-Conceptual research is related to some abstract idea(s) or theory. It is
generally used by philosophers and thinkers to develop new concepts or
to reinterpret existing ones.
-Empirical research relies on experience or observation alone, often
without due regard for system and theory. It is data-based research,
coming up with conclusions which are capable of being verified by
observation or experiment.
RM & IPR UNIT 2
1. ​
What is research design. Explain the need for research design.
-A research design is a structured plan or blueprint that outlines the approach,
methods, and procedures for conducting a research study. It includes decisions
on how to collect, analyze, and interpret data, ensuring that the study is
conducted systematically and ethically.
1.​ Guides the Process: Provides a clear roadmap for conducting research.
2.​ Ensures Reliability: Promotes accurate and reproducible results.
3.​ Optimizes Resources: Efficient use of time, money, and manpower.
4.​ Reduces Errors: Minimizes biases and mistakes.
5.​ Clarifies Objectives: Keeps focus on answering the research problem.
6.​ Facilitates Replication: Ensures the study can be reproduced by others.
7.​ Improves Efficiency: Helps stay on track and avoid deviations.
2. How does research article differ from review article? Explain
1.​ Purpose:
○​ Research Article: Presents original research findings or
experiments.
○​ Review Article: Summarizes, analyzes, and synthesizes existing
research on a topic.
2.​ Content:
○​ Research Article: Includes data, methodology, results, and
analysis.
○​ Review Article: Focuses on reviewing multiple studies, identifying
trends, and drawing conclusions from existing literature.
3.​ Structure:
○​ Research Article: Follows a specific format—Introduction,
Methodology, Results, Discussion.
○​ Review Article: Organized into sections summarizing various
studies, often categorized by themes or time periods.
4.​ Originality:
○​ Research Article: Presents new findings or advancements in the
field.
○​ Review Article: Does not present new data; rather, it synthesizes
existing knowledge.
5.​ References:
○​ Research Article: Cites previous studies to support the research.
○​ Review Article: Cites numerous studies to provide a
comprehensive overview of the topic.
6.​ Audience:
○​ Research Article: Targets experts looking for new research data.
○​ Review Article: Aims to inform a broad audience about the current
state of research on a topic.
In summary, a research article contributes new knowledge, while a review
article summarizes and synthesizes existing research.
3. Explain the meaning and significance of research design
-A research design is a structured plan that outlines how to conduct a research
study. It includes the methodology, data collection methods, analysis
procedures, and timeline to address the research problem effectively and
systematically.
Significance of Research Design:
1.​ Provides Structure: Ensures an organized and systematic approach.
2.​ Improves Validity and Reliability: Ensures accurate and reproducible
results.
3.​ Optimizes Resources: Efficient use of time, money, and manpower.
4.​ Prevents Bias and Errors: Reduces potential biases and mistakes.
5.​ Clarifies Objectives: Focuses the study on key research goals.
6.​ Facilitates Replication: Allows future researchers to replicate the study.
7.​ Enhances Quality: Leads to credible and meaningful results.
4. Write short points with suitable examples on
(a)​
Extraneous variable
(b)​
Experimental and control groups
(c)​
Treatments
(d)​
Research hypothesis
(a) Extraneous Variable:
●​ Definition: A variable that is not of interest in the study but could
affect the dependent variable.
●​ Example: In a study on the effect of sleep on exam performance,
factors like stress or caffeine intake can act as extraneous
variables.
●​ Impact: Can create confusion, leading to inaccurate conclusions if
not controlled.
(b) Experimental and Control Groups:
●​ Experimental Group:
○​ Definition: The group exposed to the independent variable
or treatment.
○​ Example: Plants exposed to continuous artificial light.
●​ Control Group:
○​ Definition: The group not exposed to the treatment, used for
comparison.
○​ Example: Plants kept in natural sunlight.
(c) Treatments:
Definition: The specific manipulation or intervention applied to the
experimental group.
●​ Example: In a study on exercise impact, the treatment could be a
30-minute daily workout regimen.
●​ Purpose: To observe its effect on the dependent variable.
(d) Research Hypothesis:
Definition: A statement which can be tested to predict the relationship
between variables.
●​ Example: "Increased study time improves exam scores."
●​ Purpose: Guides the research direction and is tested through
experimentation or analysis.
5. Explain the basic principles of experimental designs with suitable
examples
1. Principle of Replication:
●​ Definition: Repeating the experiment or increasing sample size to
ensure the results are reliable and not due to chance.
●​ Example: In a drug trial, conducting the experiment with multiple
groups of patients ensures that the observed effects of the drug
are consistent and not just a fluke of a small sample.
2. Principle of Randomization:
●​ Definition: Randomly assigning subjects or experimental units to
different groups to eliminate bias and ensure that every participant
has an equal chance of being assigned to any group.
●​ Example: Randomly assigning students to two groups
(experimental and control) in a study testing the effectiveness of a
new teaching method ensures that any difference in performance
is due to the method, not other factors.
3. Principle of Local Control:
●​ Definition: Controlling or accounting for known variables that
could affect the experiment, such as environmental or
participant-related factors, to reduce variability.
●​ Example: In testing the effect of fertilizers on plant growth,
ensuring all plants are grown in similar pots with the same soil type
and watering schedule helps isolate the effect of fertilizer from
other factors like soil quality or water supply.
6. Write the difference between exploratory studies and descriptive
studies in research design.
7. What is literature review? What is its importance and purpose in
defining the research problem
-​
A literature review is a comprehensive summary and analysis of
existing research, theories, and studies related to a specific topic. It
examines and synthesizes past works to identify gaps, trends, and
insights that help shape the direction of new research.
Importance of Literature Review in Defining the Research Problem:
1.​ Identifies Gaps in Knowledge:
○​ A literature review may reveal that there is insufficient
research on the effects of a new drug on elderly patients.
2.​ Refines the Research Problem:
○​ Based on previous studies, a researcher may narrow the
focus of their study to a specific age group or condition.
3.​ Guides Research Methodology:
○​ Reviewing different methodologies used in similar studies
helps decide whether to conduct a qualitative or quantitative
study.
4.​ Provides Theoretical Framework:
○​ For a study on climate change, a review of existing climate
models provides a framework for analyzing new data.
5.​ Avoids Duplication:
○​ A literature review ensures that the researcher is aware of
previous studies, avoiding unnecessary duplication of efforts.
6.​ Enhances Credibility:
○​ Citing relevant studies in the literature review builds a solid
foundation for the researcher's proposed approach.
8. Briefly explain the steps involved in Literature review
1. Searching for Existing Literature:
●​ Definition: Identifying relevant studies in your field through
academic databases.
●​ Example: Searching for research on AI in healthcare using
databases like Google Scholar.
●​ Key Activity: Systematically searching and filtering relevant,
peer-reviewed sources.
2. Reviewing Selected Literature:
●​ Definition: Critically analyzing the selected research to
understand findings, methodologies, and gaps.
●​ Example: Comparing studies on AI's impact on healthcare
outcomes.
●​ Key Activity: Identifying trends, contradictions, and areas for
further research.
3. Developing a Theoretical Framework:
●​ Definition: Connecting the research to existing theories that
explain the phenomena.
●​ Example: Using the Technology Acceptance Model to frame AI
adoption in healthcare.
●​ Key Activity: Identifying relevant theories to guide the research
question and hypotheses.
4. Developing a Conceptual Framework:
●​ Definition: Defining and visualizing key concepts and their
relationships in the study.
●​ Example: Illustrating how AI, trust, and readiness influence AI
adoption in healthcare.
●​ Key Activity: Mapping variables and their relationships to guide
data collection and analysis.
9. Briefly explain the three method in context of research design
1.​ Experimental Research Design:
○​ Description: This design involves manipulating an
independent variable to observe its effect on a dependent
variable, often in a controlled environment.
○​ Example: Testing a new teaching method by assigning one
group of students to learn using the new method and another
group using the traditional method, then comparing their
performance.
○​ Strengths: Can establish cause-and-effect relationships.
○​ Limitations: May not always be generalizable to real-world
settings.
2.​ Descriptive Research Design:
○​ Description: This design is used to describe characteristics
of a population or phenomenon being studied, without
manipulating variables.
○​ Example: Surveying people to understand their attitudes
toward climate change.
○​ Strengths: Useful for gathering detailed information about a
topic.
○​ Limitations: Cannot establish cause-and-effect
relationships.
3.​ Correlational Research Design:
○​ Description: This design examines the relationship between
two or more variables to determine if they are associated,
without manipulating them.
○​ Example: Studying the relationship between hours of study
and exam scores.
○​ Strengths: Can identify patterns and relationships between
variables.
○​ Limitations: Does not establish causality; only indicates
correlation.
1. Qualitative Research Method:
●​ Definition: Focuses on exploring and understanding phenomena
in-depth through non-numerical data.
●​ Example: Conducting interviews or focus groups to understand
people's experiences with mental health services.
●​ Purpose: To gain insights into attitudes, behaviors, or social
phenomena, often with small sample sizes.
2. Quantitative Research Method:
●​ Definition: Involves collecting and analyzing numerical data to
identify patterns, relationships, or trends.
●​ Example: A survey assessing the impact of exercise on blood
pressure levels in a large group of people.
●​ Purpose: To test hypotheses and generalize results to larger
populations using statistical analysis.
3. Mixed-Methods Research Method:
●​ Definition: Combines both qualitative and quantitative methods to
provide a comprehensive understanding of the research problem.
●​ Example: A study that surveys student performance (quantitative)
and follows up with interviews to explore experiences (qualitative).
●​ Purpose: To leverage the strengths of both methods and provide a
more complete picture of the research question.
10. Briefly explain the techniques involved in defining the research
problem
1. Statement of the Problem in a General Way:
●​ Explanation: Start by articulating the research problem broadly to
provide an overall context for the study.
●​ Example: "The effect of technology on education" as a general
statement.
2. Understanding the Nature of the Problem:
●​ Explanation: Gain a deeper understanding of the problem by
identifying its key aspects, scope, and significance.
●​ Example: Investigating how digital tools affect student
engagement and learning outcomes in classrooms.
3. Surveying the Available Literature:
●​ Explanation: Review existing research to identify what has
already been studied, current findings, and gaps in knowledge.
●​ Example: Reading academic papers on the use of educational
technology to understand previous studies and their limitations.
4. Developing the Ideas Through Discussions:
●​ Explanation: Engage with peers, experts, or mentors to discuss
and refine the research problem.
●​ Example: Discussing with fellow researchers to get insights on the
potential challenges and scope of studying technology in
education.
5. Rephrasing the Research Problem:
●​ Explanation: Refine and reword the research problem to make it
more focused, clear, and researchable.
●​ Example: Rephrasing "The effect of technology on education" to
"How does the use of digital learning tools impact high school
students' academic performance?"
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