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Research Methodology
Chapter -2 Scientific Investigation
S.Thowfeek Ahamed
Senior Lecturer
Hardy- Advanced Technological Institute (SLIATE)
Ampara
Chapter 2
Scientific Investigation
Slide 2-2
Hallmarks of Scientific Research:
 Hallmarks or main distinguishing
characteristics of scientific research:
 Purposiveness
 Rigor
 Testability
 Replicability
 Precision and Confidence
 Objectivity
 Generalizability
 Parsimony
Slide 2-3
Hallmarks of the Scientific Research
1. Purposiveness- clear purpose
2. Rigor - based on a theoretical background
3. Testability - ability to develop hypotheses
4. Replicability - same result in similar settings
5. Precision and Confidence – how close the findings to
reality ( confidence Intervals , confidence levels)
6. Objectivity -Conclusions are based on facts and findings
7. Generalizability - applicability its population
8. Parsimony - simplicity in explanation, application
Two Broarder categories
Quantitative Research: Variables in this research
could be measured numerically or contains
data that could be usefully be quantified.
Qualitative research: variables of this research deals
with qualitative data or non numeric data which have
not been quantified.
Quantitative vs Qualitative
Quantitative
 To confirm hypothesis
about a phenomena
 Rigid instrument
 Use structured methods
of data collection
 Questionnaire,
experiments,
 Numerical data for
analysis
 Study design is subjected
statistical assumptions
Qualitative
 To explore a phenomena
in question
 Flexible instruments
 Use semi structured
methods of data
collection
 Interview, discussions,
observations
 Text, audio, video
 Study design is
changeable according to
steps
Mix methods
 Both qualitative and quantitative data are
used to find a solution when one source of
data alone cannot answer the problem.
 Data collection and analysis one after another
or parallel
 Most of the business research follow this
approach
Triangulation
 Triangulation is a technique that is also often
associated with mix methods
 Triangulation. Use of different sources of
data for one to be confident with a result.
 Several kind of triangulation
1. Method triangulation: use of multiple
methods of data collection and analysis
Data triangulation
Deductive Vs Inductive Research/ reasoning : Reasoning is the
action of constructing thoughts into a valid argument.
Deductive reasoning
 Deductive reasoning
uses general principles
to create a specific
conclusion. Deductive
reasoning is also known
as 'top-down reasoning'
because
 it goes from general
and works its way
down more specific.
Inductive reasoning
 Inductive reasoning is
also referred to as
'cause and effect
reasoning' or 'bottom-
up reasoning' .
 This is usually derived
from specific instances
to develop a general
conclusion.
Deductive Vs Inductive Research
Deduction Induction
Research Philosophy
A research philosophy is a belief about the way
in which data about a phenomenon should be
gathered, analyzed and used.
Ontology: The researchers view about the
nature of reality. it deals with the nature of
reality or truth. What is there ?
Epistemology: a way of understanding and
explaining how we know. ‘How do you know it
Philosophical paradigms/Eras
1. Realism:
2. Pragmatism
3. Positivism
4. Interpretivism
1. Positivism : is the name for the scientific
study of the social world. In positivism, laws
are to be tested against collected data
systematically. Objectively, counting and
measuring
2. Interpretivism: Interpretivism (social science),
an approach to social science that opposes
the positivism of natural science. Qualitative
research, a method of inquiry in social
science and related disciplines. Subjectively,
deeper understanding qualitatively.
Thinking on your research
Deduction and Induction
 Deductive reasoning: application of a general
theory to a specific case.
 Hypothesis testing
 Inductive reasoning: a process where we
observe specific phenomena and on this
basis arrive at general conclusions.
 Counting white swans
 Both inductive and deductive processes are
often used in research.
Slide 2-18
Alternative Approaches to What Makes
Good Research
 Positivism
 Post- Positivism/Interpretivism
 The middle ground:
1. Critical realism
2. Pragmatism
Slide 2-19
Positivism
 Scientific research is the way to get to the
truth
 Rigor and replicability, reliability, and
generalizability
 We use often Quantitative Methodology to
investigate truth
 Key approach: experiment
Slide 2-20
Constructionism
 The world as we know it is fundamentally
mental
 Accordingly, there are multiple truths in the
world.
 Aim to understand the rules people use to
make sense of the world
 Research methods are often qualitative in
nature
Slide 2-21
Critical Realism
 There is an external reality but we cannot
always objectively measure this external
reality
 The critical realist is critical of our ability to
understand the world with certainty
Slide 2-22
Pragmatism
 Do not take a particular position on what
makes good research
 Research on both objective and subjective
phenomena can produce useful knowledge
 Relationship between theory and practice
 Purpose of theory is to inform practice
Slide 2-23
Social Method
 Social science research/management works to answer
many of the questions we have about human behavior.
 Through scientific study, social science research seeks
to understand the how and whys of human behavior.
 Social science researcher use the 6 steps to handle his
problems using the scientific approach.
 But results will not be exact and error free due to the
nature of data and related characteristics
 Most of the data are from subjective area like, feelings,
emotions, attitudes and perceptions.
 Hence measurements are not as precise as data from
biology or engineering
 Characters are Abstract and not concrete
26
The philosophical position
Positivism Interpretivism
Ontology: what is the
nature of reality ?
Reality is objective and singular,
apart from the researcher
Reality is subjective and
multiple as seen by the
participants
Epistemology: What is
valid knowledge?
Researcher is independent from
that being researched
Researcher interacts with
that being researched
Axiology: Role of values Value free and un-biased Value-laden and biased
RESEARCH
STRATERGY
• Cross-sectional studies
• Experimental studies
• Longitudinal studies
• Surveys
• Etc..
• Action research
• Case studies
• Ethnography
• Grounded Theory
• Hermeneutics, etc
28
29
30
Research Design
Qualitative and Quantitative
Research
Hypothetico-deductive Research
The Seven-Step Process in the Hypothetico-
Deductive Method
 Identify a broad problem area
 Define the problem statement
 Develop hypotheses
 Determine measures
 Data collection
 Data analysis
 Interpretation of data
Slide 2-34
The Research Process
Research
Idea
Data
Analysis
Answering the
empirical research
question
Theoretical
interpretation of the
results
Theoretical
Formulation of the
research Problem
Comparison with
earlier(research)
Literature
Review
Conclusions
Data
Collection
Research Design
(planning)
Empirical research
questions
(operationalization)
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Ch02-Scentific Investigation.pptxbusiness

  • 1. Research Methodology Chapter -2 Scientific Investigation S.Thowfeek Ahamed Senior Lecturer Hardy- Advanced Technological Institute (SLIATE) Ampara
  • 3. Hallmarks of Scientific Research:  Hallmarks or main distinguishing characteristics of scientific research:  Purposiveness  Rigor  Testability  Replicability  Precision and Confidence  Objectivity  Generalizability  Parsimony Slide 2-3
  • 4. Hallmarks of the Scientific Research 1. Purposiveness- clear purpose 2. Rigor - based on a theoretical background 3. Testability - ability to develop hypotheses 4. Replicability - same result in similar settings 5. Precision and Confidence – how close the findings to reality ( confidence Intervals , confidence levels) 6. Objectivity -Conclusions are based on facts and findings 7. Generalizability - applicability its population 8. Parsimony - simplicity in explanation, application
  • 5. Two Broarder categories Quantitative Research: Variables in this research could be measured numerically or contains data that could be usefully be quantified. Qualitative research: variables of this research deals with qualitative data or non numeric data which have not been quantified.
  • 6. Quantitative vs Qualitative Quantitative  To confirm hypothesis about a phenomena  Rigid instrument  Use structured methods of data collection  Questionnaire, experiments,  Numerical data for analysis  Study design is subjected statistical assumptions Qualitative  To explore a phenomena in question  Flexible instruments  Use semi structured methods of data collection  Interview, discussions, observations  Text, audio, video  Study design is changeable according to steps
  • 7. Mix methods  Both qualitative and quantitative data are used to find a solution when one source of data alone cannot answer the problem.  Data collection and analysis one after another or parallel  Most of the business research follow this approach
  • 8. Triangulation  Triangulation is a technique that is also often associated with mix methods  Triangulation. Use of different sources of data for one to be confident with a result.  Several kind of triangulation 1. Method triangulation: use of multiple methods of data collection and analysis
  • 10. Deductive Vs Inductive Research/ reasoning : Reasoning is the action of constructing thoughts into a valid argument. Deductive reasoning  Deductive reasoning uses general principles to create a specific conclusion. Deductive reasoning is also known as 'top-down reasoning' because  it goes from general and works its way down more specific. Inductive reasoning  Inductive reasoning is also referred to as 'cause and effect reasoning' or 'bottom- up reasoning' .  This is usually derived from specific instances to develop a general conclusion.
  • 11. Deductive Vs Inductive Research Deduction Induction
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  • 13. Research Philosophy A research philosophy is a belief about the way in which data about a phenomenon should be gathered, analyzed and used. Ontology: The researchers view about the nature of reality. it deals with the nature of reality or truth. What is there ? Epistemology: a way of understanding and explaining how we know. ‘How do you know it
  • 14. Philosophical paradigms/Eras 1. Realism: 2. Pragmatism 3. Positivism 4. Interpretivism
  • 15. 1. Positivism : is the name for the scientific study of the social world. In positivism, laws are to be tested against collected data systematically. Objectively, counting and measuring 2. Interpretivism: Interpretivism (social science), an approach to social science that opposes the positivism of natural science. Qualitative research, a method of inquiry in social science and related disciplines. Subjectively, deeper understanding qualitatively.
  • 16.
  • 17. Thinking on your research
  • 18. Deduction and Induction  Deductive reasoning: application of a general theory to a specific case.  Hypothesis testing  Inductive reasoning: a process where we observe specific phenomena and on this basis arrive at general conclusions.  Counting white swans  Both inductive and deductive processes are often used in research. Slide 2-18
  • 19. Alternative Approaches to What Makes Good Research  Positivism  Post- Positivism/Interpretivism  The middle ground: 1. Critical realism 2. Pragmatism Slide 2-19
  • 20. Positivism  Scientific research is the way to get to the truth  Rigor and replicability, reliability, and generalizability  We use often Quantitative Methodology to investigate truth  Key approach: experiment Slide 2-20
  • 21. Constructionism  The world as we know it is fundamentally mental  Accordingly, there are multiple truths in the world.  Aim to understand the rules people use to make sense of the world  Research methods are often qualitative in nature Slide 2-21
  • 22. Critical Realism  There is an external reality but we cannot always objectively measure this external reality  The critical realist is critical of our ability to understand the world with certainty Slide 2-22
  • 23. Pragmatism  Do not take a particular position on what makes good research  Research on both objective and subjective phenomena can produce useful knowledge  Relationship between theory and practice  Purpose of theory is to inform practice Slide 2-23
  • 24. Social Method  Social science research/management works to answer many of the questions we have about human behavior.  Through scientific study, social science research seeks to understand the how and whys of human behavior.  Social science researcher use the 6 steps to handle his problems using the scientific approach.  But results will not be exact and error free due to the nature of data and related characteristics  Most of the data are from subjective area like, feelings, emotions, attitudes and perceptions.  Hence measurements are not as precise as data from biology or engineering  Characters are Abstract and not concrete
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  • 27. The philosophical position Positivism Interpretivism Ontology: what is the nature of reality ? Reality is objective and singular, apart from the researcher Reality is subjective and multiple as seen by the participants Epistemology: What is valid knowledge? Researcher is independent from that being researched Researcher interacts with that being researched Axiology: Role of values Value free and un-biased Value-laden and biased RESEARCH STRATERGY • Cross-sectional studies • Experimental studies • Longitudinal studies • Surveys • Etc.. • Action research • Case studies • Ethnography • Grounded Theory • Hermeneutics, etc
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  • 34. Hypothetico-deductive Research The Seven-Step Process in the Hypothetico- Deductive Method  Identify a broad problem area  Define the problem statement  Develop hypotheses  Determine measures  Data collection  Data analysis  Interpretation of data Slide 2-34
  • 35. The Research Process Research Idea Data Analysis Answering the empirical research question Theoretical interpretation of the results Theoretical Formulation of the research Problem Comparison with earlier(research) Literature Review Conclusions Data Collection Research Design (planning) Empirical research questions (operationalization)