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Advanced Research Methodology
By
Gebre Miruts (Ph.D.)
UNIT TWO
Deductive and Inductive Research
Processes (Overview)
2.1. Unit Learning Objectives and Contents
 After reading this unit, you should be able to:
• Outline the steps involved in deductive research processes
• Outline the steps involved in inductive research
processes
• Discuss the Inductive research process
• Discuss the deductive research process
Contents:
 The deductive research process
 The Inductive research process
2.1 Deductive vs Inductive Research Approaches
 Research: applies logical reasoning
Deduction: Goes from general (theories) to specific (facts)
•Premise * Honest people do not steal
•Premise * John is honest
•Conclusion: John does not steal
Induction: Goes from facts to generalizations (theories)
• Facts: Abebe, Ayele, Almaz and Aweke died.
• Facts: Abebe, Ayele, Almaz are hman-beings
• Generalization: Human-beings are mortal.
NB: If the premises are true, the conclusion is correct
Research Types
Based on the Logic of Reasoning
Deductive
• From general to specific
• Arguments are based on
laws, rules and accepted
principles
Inductive
• From specific to general
• Based on facts, develop
principles or theories which
could later be used as basis
for deductive research
THEORY
HYPOTHESIS
OBSERVATION
CONFIRMATION
Waterfall
The Deductive Approach:
 Works from more general to
the more specific
 Sometimes informally called
a “top-down” approach
 Conclusion follows logically
from premises (available facts)
THEORY
TENTATIVEHYPOTHESIS
OBSERVATION
Hill Climbing
The Inductive Approach:
 Works from more specific to
the more general/broader
generalizations and theories
 Sometimes informally called
a “bottom-up” approach
 Involves a degree of
uncertainty
CONFIRMATION
8
APPROACH
DEDUCTIVE INDUCTIVE
LOGIC
GENERAL TO
SPECIFIC
INFERENCES
DISCRIPTIVE
RESEARCH
EXPERIMENTS
HYPOTHESIS
TESTING
SPECIFIC TO
GENERAL
ACTUAL
OBSERVATION
BOTTOM-UP
TOP-DOWN
Find Research Topic and State Your Problem
Development of Working Hypothesis
Preparing the Research Design
Data collection & Administering data Collection
Analysis of Data
Hypothesis Testing
Generalization and Interpretation
Preparation of the Research Report
Literature Survey: Theoretical & Conceptual Framework
Step-1: Find Research Topic and State Your Problem
• Two approaches (paradigms) in problem definition:
 The narrow-deep (e.g. in journal articles)
 The broad-wide (e.g. in books)
• Both have their own purposes, advantages & disadvantages
• The first one is preferable for your MA thesis for better quality;
but getting focused is an iterative process
• Decide the general area of interest that has a feasible solution a
smaller part of a bigger problem
• Understand the problem - by reading & discussion.
• Narrow the problem down - an iterative process.
• Examine all available literature - the conceptual
(concepts and theories) and empirical literature.
• Verify the validity and objectivity of the background
facts concerning the problem.
• Define pertinent terms
 What are key variables in your study?
 What relationship do you investigate?
Checklist for a good research topic:
• Is the topic something in which you are really interested?
• Does the topic have a clear link to theory?
• Is the subject familiar and feasible to you?
• Do you have, or can you develop, the necessary research skills to
undertake the topic?
• Is your topic societal relevant?
• Is the subject overdone? (Avoid it)
• Is the subject controversial? (Avoid it)
• Is the problems too narrow or too vague/broad? (balance)
• Can you meet the cost and time requirements?
• Can you gain accessibility of necessary cooperation, etc.
Step-2: Literature Survey: Theoretical & Conceptual Framework
The Theoretical Framework
 A summary of the relevant theories that you will refer to
in your study:
 During the development of the hypotheses and the conceptual
framework
 When you prepare the research design; do the data analysis
and generalization.
 Indicates the important issues to be assessed or the variables to be
measured; their possible indicators; the type and direction of
relationship that exists among the variables, and so on.
 If you fail to prepare the Theoretical Framework properly:
i. You will not have the basis to define relevant concepts, identify
the assessment issues or the variables and to define them.
ii. You don’t know what relationship to expect.
iii. It will not be easy for you to choose the appropriate research
design.
iv. Your data collection instruments will be ill designed.
v. During analysis, you will not have any theory to compare your
results with.
vi. The contribution of your research to the existing theory will be
blurred.
The Conceptual Framework
 Is based on the theoretical framework
 Defines operationally the concepts you will use in your research
 Specifies the variables and indicators that you will use in your
study to measure the concepts?
 Depicts how do the different concepts relate among each other?
 Is best if supported by a graphical depiction.
 You may create your illustrative diagram or adopt or adopt it
from the literature (clearly cite the sources)
Step 3: Development of Working Hypothesis
 In a deductive logic, you should develop hypotheses
based on what the theory(ies) say about the phenomenon
and the relationships.
 A Hypothesis:
 Is a tentative assumption; specific and pertinent
 Provides the focal point for the research; to delimit the
area, sharpen thinking and keep you - the researcher - on
the right track
 Determines data type; data collection and sampling
methods; the tests that must be conducted during data
analysis, etc.
Step 4: Preparing the Research Design
 The design decisions happen to be in respect of:
 What is the study about?
 Why is the study being made?
 Where will the study be carried out?
 What type of data is required?
 What periods of time will the study include?
 What will be the sample design?
 What techniques of data collection will be used?
 How will the data be analysed?
 Important Concepts in Research Design
• A Variable: anything that takes on different values.
• A dependent variable: the one that you would like to study; it
depends on the independent variables.
• Independent variables: are those variables related to the study
and that affect your dependent variable.
• Extraneous Variables: independent variables not related to the
study but may affect the ‘dependent’ variable.
• Confounded relationship: When the dependent variable is
affected by the extraneous variable(s),
• Experimental and control groups
 The research design is decomposed into the following designs:
 The sampling designs: method of selecting the sample.
 The Observational design: Conditions under which the
observations are to be made.
 The statistical design: How many items are to be observed and
how the information and data gathered are to be analysed.
 Important Elements of Research Design
• The Population:
• The sampling Frame:
• Sampling unit/units of analysis:
• Sample size:
• Method of sampling:
• Data Type and sources of data:
• Methods of data collection:
• Methods of analysis:
Step 5: Data collection & Administering data Collection
 Data collection through:
• Observation
• Personal interview
• Telephone interview
• Mailing of questionnaire
• Schedule etc.
NB: we will discuss them in detail in another unit
Administering Data Collection (Managing the project)
 Possible sources of bias during data collection:
 Defective instruments, such as questionnaires, weighing
scales or other measuring equipment, etc
 Observer bias
 Effect of the interview on the informant
 Information bias
 The bias can be prevented by carefully planning data
collection and by pre-testing the data collection tools.
 The biases will threaten the validity and reliability of your
study.
 It is possible to certain extent to prevent them.
 Managing the project (data collection process) involves the
following:
 Organizing fieldwork
 Briefing interviewers (enumerators) and coordinators (if
applicable)
 Developing an analysis plan (e,g, Coding)
 Organizing data processing (e.g. entering the coding of the
questionnaire items into EXCEL or SPSS spread sheet; entering
data before the data collection has been completed)
 Starting the analysis
 Checking and reporting progress of data collection
Step 6: Analysis of Data
 Data Preparation Involves:
• Editing:- examining the raw (survey) data to detect error and
omission and to correct these when possible,
• Coding: –assigning numerals or other symbols to answer – in
Excel or in SPSS spreadsheets
• Classification: – The raw data must be grouped or classes on
the basis of common characteristic
• Tabulation /Compilation:- summarizing and displaying raw
data in compact form (statistical tables) for analysis.
 Data Analysis (this will be addressed in detail in ARM II)
• Qualitative, quantitative, or mixed methods - depending on the research
design (exploratory, descriptive, etc) and approach (qualitative vs,
quantitative, or both).
Step 7: Hypothesis Testing
 For quantitative researches, there are different types of
statistical tests of hypothesis: Chi-square test, t-test, F-test,
ANOVA, etc,
 For qualitative researches, the generalizations that came as a
result of the research may be stated as hypothesis to be tested in
subsequent researches.
Step 8: Generalization and Interpretation
 In explanatory studies, your generalization could be in the form
of statements regarding what factors explain the dependent
variable and whether this is in accordance with what is stated in
theory.
 If you had no hypothesis at the beginning, explain the findings on
the basis of some theory known as interpretation.
• The process of interpretation may trigger new questions
which will serve as a basis for further researches.
Step 9: Preparation of the Research Report
 While writing your report, pay attention to the language
(grammar, spelling), the format, citation, referencing styles.
 In Microsoft Word, the software itself helps you check the
spelling and grammar.
 You can download citation and referencing guidelines from www
depending on the particular referencing style
 There also are other software that help you in citing and
referencing. Example - Endnote
 You can also show your paper to friends & colleagues at least for
language editing
2.3. The Inductive Research Process
Step 1: Develop General Research Questions
 In Inductive/Qualitative researches:
• The research problem might not be well known/articulated
to start with.
• It is expressed with specification of the research
questions in a more general way.
• The research questions could be refined as the
research progresses.
Step 2: Formulate Tentative Hypothesis
 No well defined theoretical/conceptual framework
 The factors, variables and indicators cannot be well
identified in advance
 Hence, a clear hypothesis cannot be formulated
 However, a very tentative hypotheses can be
formulated based on prior experience.
• subject to modifications or alterations as the researcher
gains more insight into the problem
Step 3: Select Relevant Site & Subject(s)/Objects
 Example, to understand the interfaces between tourism activities
and the life of the local community,
 Site: certain tourist attraction sites such as natural attractions,
historical places, or places where cultural events take place.
 Subjects could be: community leaders, community members
who work in tourist sites or managers of the sites.
Step 4: Understand the Context
 Understand the site, subjects or object as they occur in the macro/micro
contexts and understanding the socio-cultural, economic, political,
institutional and historical context very important.
 But How?
Making some general readings
Contacting resource persons
Making preliminary site visits and hanging out with people in
the area
 Why understand the context?
To effectively design & administer the actual data collection process
To correctly analyze and interpret the results. For example:
Asking questions that do not give due respect to the subjects’
historical/cultural background may cause embracement among
the respondents.
Step 5: Decide on the Data Collection Method & Design the Process
 Knowing and selecting the relevant data collection method(s) is
crucial in any research approach. The possible methods include:
Personal observation,
Interviews (personal or telephone),
Focus group studies and
Investigation of cases.
 Therefore, try to choose an appropriate method or methods for your
research.
 Designing the data collection process. If observation method is
applied for example, then decide on whether the observation will
be:
 Covert or overt
 Participant or nonparticipant
 Mechanical or personal
 Structured or unstructured, etc.
 Framing (designing) interviews. While framing the interview:
Consider the historical and cultural context
Monitor the systemic validity of the frame & make necessary
adjustments before/during the data collection process.
Recognize that the interviewees also inspect the frame &
respond to it in some way, or reshape it (or even sabotage).
 Framing the interview involves decisions on:
 Who the Key informants are, how they will be identified,
selected and contacted (e.g., snowball)
 The questions to be included
 The setting (place and timing): office, home, in transport or
car, recreation place, timing (rush hour, meeting time), etc
 The degree of restrictiveness of the setting (e.g.,
interrogative or relaxed) and
 How the data will be gathered: observation, field notes,
audio or video recording.
Step 6: Gain Access to the Selected Sites and Subjects
 But Why?
To establish trust & gain cooperation
The community/subjects may regard the researcher as a stranger
and be suspicious.
 But How? For example depending on the context:
 Hanging out with people for some time
 Approaching community leaders
 Participating in some events
 Getting official permission, etc.
Step 7: Collect Relevant (Analyzable) Data
 Why collect only relevant data?
To avoid being snowed under a bulk of relevant and irrelevant
information.
 How to avoid irrelevant data?
Use the research questions & the tentative hypothesis as your
guide.
For example, during interviews, the researcher needs to (up on
consent):
o Take field notes (written memos)
o Do video/audio recording
o Take pictures
o Collect artifacts & other relevant data/objects
 On your field note, you may jot down:
• Special moments,
• Emotions of the interviewee and
• Other expressions that may not be part of the spoken narrative.
Step 8: Data Analysis
A) Transcription of the narration
o Meaning: Converting the narration/story into a text that can be
retrieved in hard copy.
o Why transcribe? To help you to give some structure to it under
certain themes.
B) Looking for Patterns
• Meaning: tracing of textual patterns that are hidden in the
sociolinguistic resources (e.g., speech) performed by the
respondents.
 How to establish patterns?
Look for the explicit answers to the questions paused
Also look into the implicit forms of the answers:
Gestures, intonations, facial expressions, etc.
Use an effective use of the field note or the recordings, in
addition to the transcription.
Use some methods: Example Ethno-poetics
 Reorganization of the narrative without fabricating the data.
 Reorganizing certain features of the first (unorganized)
transcription of the interview in lines, verses or units.
C) Interpretation, Association and Inference
 Following the patterns, interpreting the findings and make
associations and inferences.
 Look for any association between one event/factor and another
event/ factor.
 Give meaning to the findings taking the context and your stock of
knowledge into account are very important.
D) Developing Theoretical and Conceptual Framework
 Based on your interpretation, association and inference, draw a
theoretical explanation and a conceptualization about:
o What cases the phenomenon?
o What are the relationships involved and dynamisms/mechanisms
within it?
oWhat are the concepts, factors, variables involved.
 Check & refine the tentative working hypothesis that you
initially formulated.
E) Tighter Specification of Research Questions and Collection
of more Data (Optional)
 You may refine the research questions based on the data
analysis.
 If need be, the data collection process could be repeated until
you find no more new information.
 If additional data is collected,
Improve the interpretation and
The proposed conceptual/ theoretical frameworks.
Step 9: Write-Up Findings and End the Research Process
 Prepare the research report carefully
 Adhere to the format developed by the university, publisher or
sponsor.
 Check:
Structure & Language
Quality of your academic writing (see unit 5).
 Inform the concerned parties (including the subjects) about your
findings and recommendations.
Research
topic
Tentative
working
hypothesis
Tentative
Research
design
Field work
(data
collection)
Observation,
artifacts
Interviews, hanging out
Focus groups
Field notes
Analyze
data
Refining
hypothesis
If necessary, collect
additional data
Develop
theory
Write the
Report
The Inductive/Qualitative Research Process
Group Discussion
1. Explain the logics of Deduction and Induction
reasoning by Giving examples.
2. What steps does deductive research follow?
3. What steps does inductive research follow?

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Advanced Research Methodology Session-4.pptx

  • 2. UNIT TWO Deductive and Inductive Research Processes (Overview)
  • 3. 2.1. Unit Learning Objectives and Contents  After reading this unit, you should be able to: • Outline the steps involved in deductive research processes • Outline the steps involved in inductive research processes • Discuss the Inductive research process • Discuss the deductive research process Contents:  The deductive research process  The Inductive research process
  • 4. 2.1 Deductive vs Inductive Research Approaches  Research: applies logical reasoning Deduction: Goes from general (theories) to specific (facts) •Premise * Honest people do not steal •Premise * John is honest •Conclusion: John does not steal Induction: Goes from facts to generalizations (theories) • Facts: Abebe, Ayele, Almaz and Aweke died. • Facts: Abebe, Ayele, Almaz are hman-beings • Generalization: Human-beings are mortal. NB: If the premises are true, the conclusion is correct
  • 5. Research Types Based on the Logic of Reasoning Deductive • From general to specific • Arguments are based on laws, rules and accepted principles Inductive • From specific to general • Based on facts, develop principles or theories which could later be used as basis for deductive research
  • 6. THEORY HYPOTHESIS OBSERVATION CONFIRMATION Waterfall The Deductive Approach:  Works from more general to the more specific  Sometimes informally called a “top-down” approach  Conclusion follows logically from premises (available facts)
  • 7. THEORY TENTATIVEHYPOTHESIS OBSERVATION Hill Climbing The Inductive Approach:  Works from more specific to the more general/broader generalizations and theories  Sometimes informally called a “bottom-up” approach  Involves a degree of uncertainty CONFIRMATION
  • 9. Find Research Topic and State Your Problem Development of Working Hypothesis Preparing the Research Design Data collection & Administering data Collection Analysis of Data Hypothesis Testing Generalization and Interpretation Preparation of the Research Report Literature Survey: Theoretical & Conceptual Framework
  • 10. Step-1: Find Research Topic and State Your Problem • Two approaches (paradigms) in problem definition:  The narrow-deep (e.g. in journal articles)  The broad-wide (e.g. in books) • Both have their own purposes, advantages & disadvantages • The first one is preferable for your MA thesis for better quality; but getting focused is an iterative process • Decide the general area of interest that has a feasible solution a smaller part of a bigger problem
  • 11. • Understand the problem - by reading & discussion. • Narrow the problem down - an iterative process. • Examine all available literature - the conceptual (concepts and theories) and empirical literature. • Verify the validity and objectivity of the background facts concerning the problem. • Define pertinent terms  What are key variables in your study?  What relationship do you investigate?
  • 12. Checklist for a good research topic: • Is the topic something in which you are really interested? • Does the topic have a clear link to theory? • Is the subject familiar and feasible to you? • Do you have, or can you develop, the necessary research skills to undertake the topic? • Is your topic societal relevant? • Is the subject overdone? (Avoid it) • Is the subject controversial? (Avoid it) • Is the problems too narrow or too vague/broad? (balance) • Can you meet the cost and time requirements? • Can you gain accessibility of necessary cooperation, etc.
  • 13. Step-2: Literature Survey: Theoretical & Conceptual Framework The Theoretical Framework  A summary of the relevant theories that you will refer to in your study:  During the development of the hypotheses and the conceptual framework  When you prepare the research design; do the data analysis and generalization.  Indicates the important issues to be assessed or the variables to be measured; their possible indicators; the type and direction of relationship that exists among the variables, and so on.
  • 14.  If you fail to prepare the Theoretical Framework properly: i. You will not have the basis to define relevant concepts, identify the assessment issues or the variables and to define them. ii. You don’t know what relationship to expect. iii. It will not be easy for you to choose the appropriate research design. iv. Your data collection instruments will be ill designed. v. During analysis, you will not have any theory to compare your results with. vi. The contribution of your research to the existing theory will be blurred.
  • 15. The Conceptual Framework  Is based on the theoretical framework  Defines operationally the concepts you will use in your research  Specifies the variables and indicators that you will use in your study to measure the concepts?  Depicts how do the different concepts relate among each other?  Is best if supported by a graphical depiction.  You may create your illustrative diagram or adopt or adopt it from the literature (clearly cite the sources)
  • 16. Step 3: Development of Working Hypothesis  In a deductive logic, you should develop hypotheses based on what the theory(ies) say about the phenomenon and the relationships.  A Hypothesis:  Is a tentative assumption; specific and pertinent  Provides the focal point for the research; to delimit the area, sharpen thinking and keep you - the researcher - on the right track  Determines data type; data collection and sampling methods; the tests that must be conducted during data analysis, etc.
  • 17. Step 4: Preparing the Research Design  The design decisions happen to be in respect of:  What is the study about?  Why is the study being made?  Where will the study be carried out?  What type of data is required?  What periods of time will the study include?  What will be the sample design?  What techniques of data collection will be used?  How will the data be analysed?
  • 18.  Important Concepts in Research Design • A Variable: anything that takes on different values. • A dependent variable: the one that you would like to study; it depends on the independent variables. • Independent variables: are those variables related to the study and that affect your dependent variable. • Extraneous Variables: independent variables not related to the study but may affect the ‘dependent’ variable. • Confounded relationship: When the dependent variable is affected by the extraneous variable(s), • Experimental and control groups
  • 19.  The research design is decomposed into the following designs:  The sampling designs: method of selecting the sample.  The Observational design: Conditions under which the observations are to be made.  The statistical design: How many items are to be observed and how the information and data gathered are to be analysed.
  • 20.  Important Elements of Research Design • The Population: • The sampling Frame: • Sampling unit/units of analysis: • Sample size: • Method of sampling: • Data Type and sources of data: • Methods of data collection: • Methods of analysis:
  • 21. Step 5: Data collection & Administering data Collection  Data collection through: • Observation • Personal interview • Telephone interview • Mailing of questionnaire • Schedule etc. NB: we will discuss them in detail in another unit
  • 22. Administering Data Collection (Managing the project)  Possible sources of bias during data collection:  Defective instruments, such as questionnaires, weighing scales or other measuring equipment, etc  Observer bias  Effect of the interview on the informant  Information bias  The bias can be prevented by carefully planning data collection and by pre-testing the data collection tools.  The biases will threaten the validity and reliability of your study.  It is possible to certain extent to prevent them.
  • 23.  Managing the project (data collection process) involves the following:  Organizing fieldwork  Briefing interviewers (enumerators) and coordinators (if applicable)  Developing an analysis plan (e,g, Coding)  Organizing data processing (e.g. entering the coding of the questionnaire items into EXCEL or SPSS spread sheet; entering data before the data collection has been completed)  Starting the analysis  Checking and reporting progress of data collection
  • 24. Step 6: Analysis of Data  Data Preparation Involves: • Editing:- examining the raw (survey) data to detect error and omission and to correct these when possible, • Coding: –assigning numerals or other symbols to answer – in Excel or in SPSS spreadsheets • Classification: – The raw data must be grouped or classes on the basis of common characteristic • Tabulation /Compilation:- summarizing and displaying raw data in compact form (statistical tables) for analysis.  Data Analysis (this will be addressed in detail in ARM II) • Qualitative, quantitative, or mixed methods - depending on the research design (exploratory, descriptive, etc) and approach (qualitative vs, quantitative, or both).
  • 25. Step 7: Hypothesis Testing  For quantitative researches, there are different types of statistical tests of hypothesis: Chi-square test, t-test, F-test, ANOVA, etc,  For qualitative researches, the generalizations that came as a result of the research may be stated as hypothesis to be tested in subsequent researches.
  • 26. Step 8: Generalization and Interpretation  In explanatory studies, your generalization could be in the form of statements regarding what factors explain the dependent variable and whether this is in accordance with what is stated in theory.  If you had no hypothesis at the beginning, explain the findings on the basis of some theory known as interpretation. • The process of interpretation may trigger new questions which will serve as a basis for further researches.
  • 27. Step 9: Preparation of the Research Report  While writing your report, pay attention to the language (grammar, spelling), the format, citation, referencing styles.  In Microsoft Word, the software itself helps you check the spelling and grammar.  You can download citation and referencing guidelines from www depending on the particular referencing style  There also are other software that help you in citing and referencing. Example - Endnote  You can also show your paper to friends & colleagues at least for language editing
  • 28. 2.3. The Inductive Research Process Step 1: Develop General Research Questions  In Inductive/Qualitative researches: • The research problem might not be well known/articulated to start with. • It is expressed with specification of the research questions in a more general way. • The research questions could be refined as the research progresses.
  • 29. Step 2: Formulate Tentative Hypothesis  No well defined theoretical/conceptual framework  The factors, variables and indicators cannot be well identified in advance  Hence, a clear hypothesis cannot be formulated  However, a very tentative hypotheses can be formulated based on prior experience. • subject to modifications or alterations as the researcher gains more insight into the problem
  • 30. Step 3: Select Relevant Site & Subject(s)/Objects  Example, to understand the interfaces between tourism activities and the life of the local community,  Site: certain tourist attraction sites such as natural attractions, historical places, or places where cultural events take place.  Subjects could be: community leaders, community members who work in tourist sites or managers of the sites. Step 4: Understand the Context  Understand the site, subjects or object as they occur in the macro/micro contexts and understanding the socio-cultural, economic, political, institutional and historical context very important.
  • 31.  But How? Making some general readings Contacting resource persons Making preliminary site visits and hanging out with people in the area  Why understand the context? To effectively design & administer the actual data collection process To correctly analyze and interpret the results. For example: Asking questions that do not give due respect to the subjects’ historical/cultural background may cause embracement among the respondents.
  • 32. Step 5: Decide on the Data Collection Method & Design the Process  Knowing and selecting the relevant data collection method(s) is crucial in any research approach. The possible methods include: Personal observation, Interviews (personal or telephone), Focus group studies and Investigation of cases.  Therefore, try to choose an appropriate method or methods for your research.
  • 33.  Designing the data collection process. If observation method is applied for example, then decide on whether the observation will be:  Covert or overt  Participant or nonparticipant  Mechanical or personal  Structured or unstructured, etc.
  • 34.  Framing (designing) interviews. While framing the interview: Consider the historical and cultural context Monitor the systemic validity of the frame & make necessary adjustments before/during the data collection process. Recognize that the interviewees also inspect the frame & respond to it in some way, or reshape it (or even sabotage).  Framing the interview involves decisions on:  Who the Key informants are, how they will be identified, selected and contacted (e.g., snowball)  The questions to be included  The setting (place and timing): office, home, in transport or car, recreation place, timing (rush hour, meeting time), etc
  • 35.  The degree of restrictiveness of the setting (e.g., interrogative or relaxed) and  How the data will be gathered: observation, field notes, audio or video recording. Step 6: Gain Access to the Selected Sites and Subjects  But Why? To establish trust & gain cooperation The community/subjects may regard the researcher as a stranger and be suspicious.  But How? For example depending on the context:  Hanging out with people for some time  Approaching community leaders  Participating in some events  Getting official permission, etc.
  • 36. Step 7: Collect Relevant (Analyzable) Data  Why collect only relevant data? To avoid being snowed under a bulk of relevant and irrelevant information.  How to avoid irrelevant data? Use the research questions & the tentative hypothesis as your guide. For example, during interviews, the researcher needs to (up on consent): o Take field notes (written memos) o Do video/audio recording o Take pictures o Collect artifacts & other relevant data/objects
  • 37.  On your field note, you may jot down: • Special moments, • Emotions of the interviewee and • Other expressions that may not be part of the spoken narrative. Step 8: Data Analysis A) Transcription of the narration o Meaning: Converting the narration/story into a text that can be retrieved in hard copy. o Why transcribe? To help you to give some structure to it under certain themes. B) Looking for Patterns • Meaning: tracing of textual patterns that are hidden in the sociolinguistic resources (e.g., speech) performed by the respondents.
  • 38.  How to establish patterns? Look for the explicit answers to the questions paused Also look into the implicit forms of the answers: Gestures, intonations, facial expressions, etc. Use an effective use of the field note or the recordings, in addition to the transcription. Use some methods: Example Ethno-poetics  Reorganization of the narrative without fabricating the data.  Reorganizing certain features of the first (unorganized) transcription of the interview in lines, verses or units.
  • 39. C) Interpretation, Association and Inference  Following the patterns, interpreting the findings and make associations and inferences.  Look for any association between one event/factor and another event/ factor.  Give meaning to the findings taking the context and your stock of knowledge into account are very important. D) Developing Theoretical and Conceptual Framework  Based on your interpretation, association and inference, draw a theoretical explanation and a conceptualization about: o What cases the phenomenon? o What are the relationships involved and dynamisms/mechanisms within it?
  • 40. oWhat are the concepts, factors, variables involved.  Check & refine the tentative working hypothesis that you initially formulated. E) Tighter Specification of Research Questions and Collection of more Data (Optional)  You may refine the research questions based on the data analysis.  If need be, the data collection process could be repeated until you find no more new information.  If additional data is collected, Improve the interpretation and The proposed conceptual/ theoretical frameworks.
  • 41. Step 9: Write-Up Findings and End the Research Process  Prepare the research report carefully  Adhere to the format developed by the university, publisher or sponsor.  Check: Structure & Language Quality of your academic writing (see unit 5).  Inform the concerned parties (including the subjects) about your findings and recommendations.
  • 42. Research topic Tentative working hypothesis Tentative Research design Field work (data collection) Observation, artifacts Interviews, hanging out Focus groups Field notes Analyze data Refining hypothesis If necessary, collect additional data Develop theory Write the Report The Inductive/Qualitative Research Process
  • 43.
  • 44. Group Discussion 1. Explain the logics of Deduction and Induction reasoning by Giving examples. 2. What steps does deductive research follow? 3. What steps does inductive research follow?