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A systematized effort to gain new knowledge
Research is a structured enquiry that utilizes
acceptable scientific methodology to solve problems
and create new knowledge that is generally
applicable.
Characteristics of research:
controlled, rigorous, systematic, valid and verifiable,
empirical and critical.
Research Method
Behavior and instruments used in selecting &
construction of techniques. eg: observation, interview
Research Methodology
A way to systematically solve the research problem by
logically adopting various steps.
A science of studying how research is done scientifically
Used in the investigation of the nature and matter and
deals specially with the manner in which the data is
collected , analyzed and interpreted.
1. Selecting a Research Topic
2. Formulation of Research Problem
-- Objectives
-- Variables
-- Scales
3. Literature survey
4. Formulating a hypothesis
5. Conceptualizing Study Design (Research Design)
6. Data collection
-- Sampling strategy/sample design
-- Designing Research Instrument
7. Processing and analyzing data - Selecting statistical tools
8. Interpretation
9. Preparation of the report
Sources of Research problems
People
Programs
Problems
Phenomenon
Aspects•Study Population: People
•Subject Area: Programs,
Problems, Phenomenon
Considerations
Time
Magnitude
Relevance
Interest
Level of Expertise
Financial constraint
Availability of Data
Step 1 : Identify a broad field or subject area of
interest to you.
Step 2 : Dissect the broad area into sub areas.
Step 3 : Select what is of most interest to you.
Step 4 : Raise research questions.
Step 5 : Formulate objectives.
Step 6 : Assess your objectives.
Step 7 : Double check
- Goals you set out to attain in your study
Main Objectives: overall statement of the thrust
of your study
Sub objective: specific aspects of topic to be
investigated
Eg:- to determine, to find out, to ascertain, to
explore
Research Problem - Objective - Concept –
Indicator – Variable – Unit of Measurement
(Scales)
- A concept is an image or perception that
cannot be measured eg: Rich, Satisfaction
- An indicator is a set of criteria’s reflective of
concept eg: extent of richness
- A variable is an image, perception or concept
that can be measured eg: age, gender
Types:-
1. Nominal – divide in sub categories eg: gender
2. Ordinal – divided in sub categories reflecting
magnitude eg:- attitude
3. Interval – divided in sub categories reflecting
magnitude with a unit of measurement eg:-
temperature
4. Ratio- divided in sub categories reflecting
magnitude with a unit of measurement having
fixed starting point eg:- age, height
Objective Major
Concept
Indicator variables Unit of
Measurement
Study the
emotional
status
Psychology 1.
Attitude
2.
Motivatio
n
Extent of
Change in
attitude/
motivatio
n
No. of times
mood fluctuates
in a day
Study the
impact of
awareness
program
Effectiveness Awarene
ss of
Disease
Extent of
Change
Change in the
proportional of
the population
before and after
the health
education
program
Its functions are:
a. Bring clarity and focus to your research problem;
b. Improve your methodology;
c. Broaden your knowledge;
d. Contextualise your findings.
Procedure for reviewing the literature:
i) search for existing literature in your area of study;
ii) review the literature selected;
iii) develop a theoretical framework;
iv) develop a conceptual framework.
Hypothesis is a hunch, assumption, suspicion, assertion on an idea about a phenomenon relationship or situation the reality or truth of which you do not know.
It becomes basis of an enquiry.
It brings clarity, specificity & focus to research problem.
It is formulated to test the objectives of the research
eg: Objective: To study the change in livelihood style and its consequences
Hypothesis: Creation of National parks have direct bearing on livelihood source of villages.
The preparation of research design, appropriate
for a particular research problem, involves the
consideration of the following :
1. Objectives of the research study.
2. Sample Design- sample, size and sampling
3. Method of Data Collection to be adopted
4. Tool for Data collection
5. Data Analysis-- qualitative and quantitative
Nature of the problem/research
1. Qualitative
i. Survey
ii. Longitudinal
iii. Cross-sectional
iv. Experimental
2. Quantitative
i. Ethnographical
ii. Cases study
iii. Phenomenological
3. Mixed
Sampling/Sample Design
Guiding principles
The avoidance of bias in the selection of a sample
The attainment of maximum precision for a given
outlay of resources
Types of
Samples
• Simple Random
• Stratified random
• Cluster
Probability
• Judgment
• Convenience
• Quota
Non Probability
Methods of Data Collection:
1. Observational Methods –
direct observation of relevant people, actions and
situations information which people are normally
unwilling or unable to provide.
Limitations:
- feelings, beliefs and attitudes that motivate buying
behaviour and infrequent behavior cannot be
observed.
- expensive method
Methods of Data Collection:2. SURVEY METHOD – for descriptive information.
Structured Surveys and Unstructured Surveys
Direct and Indirect
ADVANTAGES:-can be used to collect many different kinds of information
-Quick and low cost as compared to other methods.
LIMITATIONS:-Respondent’s reluctance to answer questions asked by
unknown interviewers about things they consider private.
-Busy people may not want to take the time
-unable to answer because they cannot remember or never gave a thought to what they do and why
Methods of Data Collection:
3. CONTACT METHODS:
Information may be collected by
a. Mail
b. Telephone
c. Personal interview
This takes two forms-
Individual- Intercept interviewing
Group - Focus Group Interviewing
Research Instruments/tools:
The research tool provides the input into a
study and therefore the quality and validity of
the output (the findings), are solely dependent
on it.
Types of Research Instrument:
Observation
Interview
Reports
Record
Questionnaire
Questionnaire
- consists of a set of questions presented to a
respondent for answers.
- is very flexible.
- Is developed and tested carefully
Types of questionnaire:
a. Closed –ended
b. Open-ended
c. Combination of both
Important points for Questionnaire –
i. Short and simple
ii. Avoid double barreled
iii. Avoid negative questions
iv. No Prestige Bias
v. Indirect questions for sensitive issues
vi. “Don’t Know” category
vii. Avoid Leading Question
If combined questionnaire, keep open ended Qs for the end.
Layout and spacing
Processing:1. Editing
2. Classification
a) Classification according to attributes: here
data is analysed on the basis of common
characteristics which can either be descriptive
such as literacy, religion etc. or numerical such
as weight, height etc.
b) Classification according to class –intervals: is
done with data relating to income, age,
weight, tariff, production, occupancy etc.
3. Tabulation
Analysing:
1. Qualitative: few rigid rules and procedures
Content AnalysisStep 1. Identify the main themes
Step 2. Assign codes to the main themes
Step 3. Classify responses under the main themes
Step 4. Integrate themes and responses into the text of your report
Analysing:
2. Quantitative: most suitable for large well designed and well administered surveys
Tests and Methods
Correlation
Regression
T-test – to test hypothesis
Chi-square test – to test hypothesis
Frequency Distribution
Histograms
Charts and Bar graphs
ANNOVA
On the basis of the results of the data analysis
the hypothesis is tested.
The questions framed for the objectives of the
research are answered.
Conclusions are drawn and Represented
Title Page
-Title of the Research Project, Name of the researcher, Date of Publication
-Purpose of the research project, e.g. “A research project submitted in partial fulfillment of the requirements of EIES, Bhopal for the post graduate diploma of Environment Management”
Table of Contents
Introduction
Theoretical Framework and Review of Related Literature
Research Design
Data Analysis and Interpretation
Summary and Conclusion
Suggestions for Further Research
References/ Bibliography
Appendices