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METHODS OF DATA
COLLECTION
PRESENTED BY
PRATEETI ANWESHA BORDOLOI
RESEARCH SCHOLAR
MSSV
WHAT IS DATA
COLLECTION?
Data collection refers to the systematic process of
collecting information from relevant sources to
find solution to the given statistical inquiry.
The process of data collection begins after
research problem and research design has been
defined.
It is an essential step because it helps us make
informed decisions, spot trends and measure
progress.
METHODS
OF DATA
COLLECTION
Information collected directly from first hand
Information collected directly from first hand
sources
sources
Already been collected by someone else and have
Already been collected by someone else and have
already been passed through the statistical
already been passed through the statistical
process
process
01
02
Observation method
Interview method
i. direct personal investigation
ii. Indirect oral investigation
Questionnaire and Schedules
Published sources-
Government publications
Books and Journals
Newspapers
International publications
NGO reports, publication of trade associations
OBSERVATION
METHOD
IN THE WORDS OF P.V YOUNG,
“OBSERVATION MAY BE DEFINED AS SYSTEMATIC
VIEWING, COUPLED WITH CONSIDERATION OF
SEEN PHENOMENON”
IT IS A METHOD UNDER WHICH DATA FROM THE
FIELD IS COLLECTED WITH THE HELP OF
OBSERVATION BY THE RESEARCHER.
IT INVOLVES COLLECTING DATA BY WATCHING
AND RECORDING BEHAVIORS, EVENTS, OR
CONDITIONS AS THEY NATURALLY OCCUR
When observation takes place
according to pre-arranged
plans, with experimental
procedures.
Structured observation
Unstructured observation
When the observation is
characterized by a
careful definition of the
units to be observed.
When observation
depends on the observer
what to see and define
Participant observation
Non participant observation
When the observer is a part
of the group which he/she
is observing.
When the observer does not
participate or intervene in
the activities of those who
are being observed.
Controlled observation
Uncontrolled observation
When the observation
takes place in a natural
condition.
Open/ Overt observation
Hidden/ Covert observation
When participants are
aware about the identity of
the researcher as well as the
purpose of the study
When participants are
unaware about the fact that
they are being observed.
Types of observation
01 02 03 04
Advantages
Produces large quantities of data
All data obtained from observation are usable
The observation technique can be stopped or
begun at any time
Relatively inexpensive
Disadvantages
Limited information could be gathered
Researcher need to wait for the spontaneous
occurrence of the situation
Observation Method
INTERVIEW
METHOD
COLLECT DATA THROUGH DIRECT, ONE-ON-ONE
CONVERSATIONS WITH INDIVIDUALS. THE
INVESTIGATOR ASKS QUESTIONS EITHER DIRECTLY
FROM THE SOURCE OR FROM ITS INDIRECT LINKS
THE INTERVIEW MAY BE REGARDED EITHER AS AN
ALTERNATIVE TO OTHER SURVEY METHODS OR AS A
SUPPLEMENTARY SOURCE OF INFORMATION.
ALTHOUGH IT IS MORE COSTLY IN BOTH TIME AND
MONEY THAN THE QUESTIONNAIRE, IT IS ALSO
MORE FLEXIBLE.
TYPES OF INTERVIEW METHOD
STRUCTURED INTERVIEW
1. A set of pre-decided questions
are there. Interviewer follows
rigid procedure
2. Standardized techniques of
recording (Eg. Yes/ No, Agree/
Disagree)
3. Time required for such
interview is less than non
structured manner interview
4. Analysis of data becomes easier
since information is collected in
a prescribed manner
1. Doesn’t follow a system of
predetermined questions or
sequence
2. No standardized techniques
are used. Responses are left
open to respondents.
3. Interviewer has freedom to
ask, omit and add questions
in any manner
4. Analysis of data is difficult
and time consuming
UNSTRUCTURED INTERVIEW
Other types of Interviews
Individual interview: Interviews only
one person at a time
Group interview: More than one
interviewer is interviewed
Telephonic interview: Interviewing
respondents over telephone (may be
used in developed regions)
Advantages
More information at a greater depth can be
obtained
Personal information can be obtained
Interviewer can collect supplementary
information about respondent’s personal
characteristics and environment which has
value in interpreting results
Disadvantages
It is an expensive method
Interviewer bias might be there
Time consuming process
Interview Method
QUESTIONNAIRE
METHOD
THE QUESTIONNAIRE IS A LIST OF QUESTIONS OR FORMS TO BE COMPLETED BY THE
RESPONDENT.
WHEN PROPERLY CONSTRUCTED, A QUESTIONNAIRE CAN BE USED AS A SCIENTIFIC
INSTRUMENT TO OBTAIN DATA FROM LARGE NUMBERS OF INDIVIDUALS.
There are two broad classes of questionnaires:
descriptive and analytical.
Descriptive questionnaires focuses on describing the
characteristics or attributes of a population or a phenomenon.
Analytical questionnaires aims to investigate and explain
relationships and cause and effect between variables
Advantages
Low cost even when universe is large and is
widespread
Free from interviewer bias
Respondent have adequate time to think
through the answers
Respondents who are not easily approachable
can also be reached conveniently
Large sample can be used and results are more
reliable
Disadvantages
Low rate of return of duly filled questionnaire
The respondent must be educated to answer
the questions
Possibility of unclear answers
Difficult to know the expected respondent
have filled the form or it is filled by someone
else
Slowest method of data collection
Questionnaire Method
Secondary Data
Secondary data refers to information
that has already been collected,
processed, and published by others.
This type of data can be sourced from
existing research papers, government
reports, books, statistical databases,
and company records. The advantage
of secondary data is that it is readily
available and often free or less
expensive to obtain compared to
primary data. It saves time and
resources since the data collection
phase has already been completed.
Methods of Collecting Secondary Data
1. Published Sources
Government Publications- Government publishes different
documents which consists of different varieties of information or
data published by the Ministries, Central and State Governments
in India as their routine activity.
Semi-Government Publications: Different Semi-Government
bodies also publish data related to health, education, deaths and
births. These kinds of data are also reliable and used by different
informants. Some examples of semi-government bodies are
Metropolitan Councils, Municipalities, etc.
Journals and Papers: Different newspapers and magazines provide
a variety of statistical data in their writings, which are used by
different investigators for their studies.
International Publications: Different international organizations
like IMF, UNO, ILO, World Bank, etc., publish a variety of
statistical information which are used as secondary data.
Methods of Collecting Secondary Data
2. Unpublished Sources
Unpublished sources are another
source of collecting secondary
data. The data in unpublished
sources is collected by different
government organizations and
other organizations. These
organizations usually collect data
for their self-use and are not
published anywhere. For example,
research work done by professors,
professionals, teachers and records
maintained by business and
private enterprises.
Collection of secondary data
Before using secondary data, researcher
must check
Reliability of the data
Suitability of the data
Adequacy of data
Conclusion
Data collection is the backbone of any research or
statistical investigation, providing the necessary
information to make informed decisions, identify
trends, and measure progress. By understanding the
various methods of data collection researchers can
choose the most suitable approach to gather primary
data that is current, relevant, and accurate.
Similarly, using secondary data from published and
unpublished sources can save time and resources
while offering valuable insights. Mastering these data
collection techniques ensures the reliability and
validity of the research, ultimately leading to sound
and actionable conclusions.
THANK YOU

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METHODS OF DATA COLLECTION (Research methodology)

  • 1. METHODS OF DATA COLLECTION PRESENTED BY PRATEETI ANWESHA BORDOLOI RESEARCH SCHOLAR MSSV
  • 2. WHAT IS DATA COLLECTION? Data collection refers to the systematic process of collecting information from relevant sources to find solution to the given statistical inquiry. The process of data collection begins after research problem and research design has been defined. It is an essential step because it helps us make informed decisions, spot trends and measure progress.
  • 3. METHODS OF DATA COLLECTION Information collected directly from first hand Information collected directly from first hand sources sources Already been collected by someone else and have Already been collected by someone else and have already been passed through the statistical already been passed through the statistical process process 01 02 Observation method Interview method i. direct personal investigation ii. Indirect oral investigation Questionnaire and Schedules Published sources- Government publications Books and Journals Newspapers International publications NGO reports, publication of trade associations
  • 4. OBSERVATION METHOD IN THE WORDS OF P.V YOUNG, “OBSERVATION MAY BE DEFINED AS SYSTEMATIC VIEWING, COUPLED WITH CONSIDERATION OF SEEN PHENOMENON” IT IS A METHOD UNDER WHICH DATA FROM THE FIELD IS COLLECTED WITH THE HELP OF OBSERVATION BY THE RESEARCHER. IT INVOLVES COLLECTING DATA BY WATCHING AND RECORDING BEHAVIORS, EVENTS, OR CONDITIONS AS THEY NATURALLY OCCUR
  • 5. When observation takes place according to pre-arranged plans, with experimental procedures. Structured observation Unstructured observation When the observation is characterized by a careful definition of the units to be observed. When observation depends on the observer what to see and define Participant observation Non participant observation When the observer is a part of the group which he/she is observing. When the observer does not participate or intervene in the activities of those who are being observed. Controlled observation Uncontrolled observation When the observation takes place in a natural condition. Open/ Overt observation Hidden/ Covert observation When participants are aware about the identity of the researcher as well as the purpose of the study When participants are unaware about the fact that they are being observed. Types of observation 01 02 03 04
  • 6. Advantages Produces large quantities of data All data obtained from observation are usable The observation technique can be stopped or begun at any time Relatively inexpensive Disadvantages Limited information could be gathered Researcher need to wait for the spontaneous occurrence of the situation Observation Method
  • 7. INTERVIEW METHOD COLLECT DATA THROUGH DIRECT, ONE-ON-ONE CONVERSATIONS WITH INDIVIDUALS. THE INVESTIGATOR ASKS QUESTIONS EITHER DIRECTLY FROM THE SOURCE OR FROM ITS INDIRECT LINKS THE INTERVIEW MAY BE REGARDED EITHER AS AN ALTERNATIVE TO OTHER SURVEY METHODS OR AS A SUPPLEMENTARY SOURCE OF INFORMATION. ALTHOUGH IT IS MORE COSTLY IN BOTH TIME AND MONEY THAN THE QUESTIONNAIRE, IT IS ALSO MORE FLEXIBLE.
  • 8. TYPES OF INTERVIEW METHOD STRUCTURED INTERVIEW 1. A set of pre-decided questions are there. Interviewer follows rigid procedure 2. Standardized techniques of recording (Eg. Yes/ No, Agree/ Disagree) 3. Time required for such interview is less than non structured manner interview 4. Analysis of data becomes easier since information is collected in a prescribed manner 1. Doesn’t follow a system of predetermined questions or sequence 2. No standardized techniques are used. Responses are left open to respondents. 3. Interviewer has freedom to ask, omit and add questions in any manner 4. Analysis of data is difficult and time consuming UNSTRUCTURED INTERVIEW Other types of Interviews Individual interview: Interviews only one person at a time Group interview: More than one interviewer is interviewed Telephonic interview: Interviewing respondents over telephone (may be used in developed regions)
  • 9. Advantages More information at a greater depth can be obtained Personal information can be obtained Interviewer can collect supplementary information about respondent’s personal characteristics and environment which has value in interpreting results Disadvantages It is an expensive method Interviewer bias might be there Time consuming process Interview Method
  • 10. QUESTIONNAIRE METHOD THE QUESTIONNAIRE IS A LIST OF QUESTIONS OR FORMS TO BE COMPLETED BY THE RESPONDENT. WHEN PROPERLY CONSTRUCTED, A QUESTIONNAIRE CAN BE USED AS A SCIENTIFIC INSTRUMENT TO OBTAIN DATA FROM LARGE NUMBERS OF INDIVIDUALS. There are two broad classes of questionnaires: descriptive and analytical. Descriptive questionnaires focuses on describing the characteristics or attributes of a population or a phenomenon. Analytical questionnaires aims to investigate and explain relationships and cause and effect between variables
  • 11. Advantages Low cost even when universe is large and is widespread Free from interviewer bias Respondent have adequate time to think through the answers Respondents who are not easily approachable can also be reached conveniently Large sample can be used and results are more reliable Disadvantages Low rate of return of duly filled questionnaire The respondent must be educated to answer the questions Possibility of unclear answers Difficult to know the expected respondent have filled the form or it is filled by someone else Slowest method of data collection Questionnaire Method
  • 12. Secondary Data Secondary data refers to information that has already been collected, processed, and published by others. This type of data can be sourced from existing research papers, government reports, books, statistical databases, and company records. The advantage of secondary data is that it is readily available and often free or less expensive to obtain compared to primary data. It saves time and resources since the data collection phase has already been completed. Methods of Collecting Secondary Data 1. Published Sources Government Publications- Government publishes different documents which consists of different varieties of information or data published by the Ministries, Central and State Governments in India as their routine activity. Semi-Government Publications: Different Semi-Government bodies also publish data related to health, education, deaths and births. These kinds of data are also reliable and used by different informants. Some examples of semi-government bodies are Metropolitan Councils, Municipalities, etc. Journals and Papers: Different newspapers and magazines provide a variety of statistical data in their writings, which are used by different investigators for their studies. International Publications: Different international organizations like IMF, UNO, ILO, World Bank, etc., publish a variety of statistical information which are used as secondary data.
  • 13. Methods of Collecting Secondary Data 2. Unpublished Sources Unpublished sources are another source of collecting secondary data. The data in unpublished sources is collected by different government organizations and other organizations. These organizations usually collect data for their self-use and are not published anywhere. For example, research work done by professors, professionals, teachers and records maintained by business and private enterprises. Collection of secondary data Before using secondary data, researcher must check Reliability of the data Suitability of the data Adequacy of data
  • 14. Conclusion Data collection is the backbone of any research or statistical investigation, providing the necessary information to make informed decisions, identify trends, and measure progress. By understanding the various methods of data collection researchers can choose the most suitable approach to gather primary data that is current, relevant, and accurate. Similarly, using secondary data from published and unpublished sources can save time and resources while offering valuable insights. Mastering these data collection techniques ensures the reliability and validity of the research, ultimately leading to sound and actionable conclusions.