1. Presented by
Prof. J. P.Verma
Director, Centre for Advanced Studies
MSc (Stat), PhD, MA(Psychology), Masters(Computer Application)
Email: vermajprakash@gmail.com
Lakshmibai National Institute of Physical Education, Gwalior, India
(Deemed University)
Govt. of India, Ministry of Youth Affairs and Sports
2. Something very abstract and complicated
But
Enjoyable if Research Process is properly understood
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6. Latest Books of Prof.J.P.Verma on Research
and Statistics published by Wiley, Springer
and TataMcGraw Hills can be
6
Seen
Here
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Dr. J.P.Verma
Professor of Statistics
Lakshmibai National University of Physical Education
(Deemed University)
(Ministry of Youth Affairs and Sports, Govt. of India)
Shakti nagar, Gwalior – 474002, M.P., India
Email: vermajprakash@gmail.com
7. Bottom up approach
From specific observations to generalizations
begin to detect patterns and regularities
formulate some tentative hypotheses that you can explore
End up developing some general conclusions or theories
Most social researches have inductive and deductive processes both
More open-ended and exploratory
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8. Confirm or deny original theory
Top down approach
From the more general to the more specific
Begin with a theory about the topic of interest
Narrow down into more specific hypotheses you can test
Narrow down further while collecting observations
to address the hypotheses
Test the hypothesis with specific sample
More narrow and confirmatory
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9. How we come to know the world?
Epistemology
How the world is known
Philosophy of knowledge
Methodology
Practical way of getting
to know about world
Focused on specific
ways to understand our
world
Ontology
How actually the world is
made
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10. Based on two major philosophical school of thoughts
Positivism
Post-Positivism
relativism, subjectivism, hermeneutics, deconstructivism, constructivism, feminism
Other alternatives
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11. Rejection of Metaphysics
Belief: The only authentic knowledge is scientific knowledge
Goal of knowledge is to describe the phenomena that we can observe,
measure or experience
Knowledge of anything beyond that is impossible.
Usually characterized by quantitative approach
Society is like physical world and operates according to general rules
Introspective and intuitive knowledge is rejected
Researcher and the researched persons are independent of each other
Features
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12. The universe is deterministic
It operates by laws of cause and effect
No distinct difference between us and the way scientists think and work.
Only degree differs
All observation is fallible and has error and that all theory is revisable.
goal of science was to uncover the truth
the goal of science is to know about the reality although we can never
achieve that goal.
All observations are theory-laden and that scientists and subjects are
inherently biased by their cultural experiences, world views, and so on.
Features
Shift from Positivism to postpositivism in mid 20th Century
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13. All theories are based on assumptions
Violation of assumptions affects the validity of findings
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14. Truth of a given proposition, inference, or conclusion
General views about validity
Can I say that my study resulted valid conclusions because
measure is a valid
valid sample was drawn
design had strong validity
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15. Research Question: Whether Incentive enhances productivity ?
Incentive Productivity
2% of the receipt Quantum of sales
six monthly
ConclusionValidity
Whether relationship exists
InternalValidity
ConstructValidity
ExternalValidity
If relationship exists, is it causal one?
Extent of generalizibility of construct
Extent of generalization of findings
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16. Voluntary participation
Informed consent
No risk of harm
Confidentiality
Anonymity difficult if measured on multiple occasion
Person's right to service – if program has beneficial effect
Clearance from Institutional Review Board
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17. Research Study
Correlational
Experimental
Lack causal relationship
IV already occurred
Large sample required
Internal validity is less
Explain causal relationship
Experimenter manipulates IV
Small sample required
Internal validity is more
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18. Steps in Experimental Research
Starts with a broad area of interest
Conceptualize Initial broad question for conducting study
Step 1
Step 2
Most social research in social sciences originates from some general problem
Practical Problems in the field
Literature in your field
Requests for Proposals
Think of your own
Decide feasibilityStep 3
How long research will take
Ethical constraints
Needed cooperation
Cost
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19. Define different research questions by narrowing down the problemStep 4
Steps in research process
Do review analysisStep 3
Helps you in including all major constructs
Helps in deriving the outcome you can expect in your study
Helps in finding appropriate measurement instruments
Get the prior experience to avoid common pitfalls
Provides scientific base to your deductive research
An Example Whether Incentive improves Sales?
Two broad a question
Formulate hypothesis
Whether Cash incentive enhances sales of Vacuum cleaner
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20. Steps in research process
Choose statistical techniques accordingly
Test assumptions for the techniques to be used
Step 9
Step 10
Generalize the findings of the studyStep 12
Deduction and InductionStep 11
Write different hypotheses to be verifiedStep 7
Decide the design of the studyStep 8
Decide IV, the cause and DV, the effectStep 5
Decide Sampling planStep 6
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21. Concept Mapping
Six Steps Process
Facilitators works with the initiator(s)
1. Preparation step
Decide the participants
Identify focus of the project by deciding treatments
Scheduling
2. Generation step
Develop a large set of statements that addresses the focus or
outcomes (Use method of brainstorming, brain writing etc.)
Generate 200 statements
Statements may be activities of the programs or outcomes
Problem: Life style Assessment of Employees due to policy change
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22. Concept Mapping
3. Structuring step
Each participants sorts the statements into piles of similar ones
They can make as few or as many piles as they want
Each participant name each pile with a short descriptive label.
Each participant rate each statement on some likert scale for their relative importance
4. Representation step
Analysis is done
Use either multidimensional scaling or Cluster analysis
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23. 5. Interpretation step
Facilitators work with the stakeholders group to help them develop their own labels and
interpretations of the various maps
6. Utilization step
Involves using the maps to help address the original focus.
Concept Mapping
Program side The maps can be used for operationalizing the program
Outcome side The maps can be used for developing measures and expected results
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For other presentation of Prof.J.P.Verma on
Repeated Measures Designs with SPSS Software
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