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Data Collection Methods
BY
ABDUL RAOOF WANI
Introduction
Data can be define as the quantitative or qualitative value
of a variable (e.g. number, images, words, figures , facts or
ideas)
It is a lowest unit of information from which other
measurements and analysis can be done.
Data is one of the most important and vital aspect of any
research study.
Data
External
sources
Primary
data
Secondary
data
Internal
sources
Internal sources of Data:
Many institutions and departments have information about their regular functions for
their own internal purposes . When this type pf information are used in any survey is
called internal sources of data.
Eg social welfare societies.
External sources of data:
When information is collected from outside agencies is called external sources of
data. Such types of data are either primary or secondary.
This type of information can be collected by census or sampling method by
conducting survey
Primary Data
• Data that has been collected from first-hand experiences is known as primary data. It has more reliable ,
authentic and not been published anywhere.
• Such data are published by authorities who themselves are responsible for their collection.
• They are original and raw
Primary data has not been changed or altered by human being, therefore its validity is greater than
secondary data.
Example:
• Documents
• Creative works
• Interviews
• Man-made materials
• Surveys
Merits:
Data interpretation is better
High accuracy of data
Address as specific research issues
Greater control
Demerits:
Evaluated cost
Time consuming
More number of resources are required
Inaccurate feedback
Required lot of skill with labour.
Secondary Data:
Secondary data are those that have already been collected by others.
These are usually in journals, research publication ,official record etc.
Secondary data may be available in the published or unpublished form.
When it is not possible to collect the data by primary method ,the
investigator go for secondary method
Example:
• Unpublished thesis and dissertations
• Manuscript
• Books
• Journals
Merits
– Quick and cheap source of data
– Wider geographical area
– Longer orientation period
– Leading to find primary data
Demerits
– No fulfill our specific research needs
– Poor accuracy
– Data are not up to date
– Poor accessibility in some cases
Qualitative Method
•Deals with descriptions.
•Data can be observed but not measured. It
approximates or characterizes but does not
measure the attributes, characteristics, and
properties of a thing or phenomenon.
Quantitative Method
• Deals with numbers.
• Data which can be measured.
• This method rely on random sampling and structured data collection
instruments that fit diverse experiences into predetermined
response categories.
Clerical Tools
• Used when researcher studies people and gathers
data on the feelings, emotions, attitudes and
judgment of the subjects.
Example:
•Questionnaire
•Interview
•Experiment
•Observation
Mechanical Devices
• Includes all tools that are used in different
branch of science. It is more on to measure
things.
Example:
• Thermometers
• Cameras
• Microscopes
• Meter stick
Questionnaire
•It is a list of prepared questions or a checklist.
•This is usually sent of distributed to respondents
for the purpose of seeking their opinions, views,
suggestions, or perceptions.
Advantages of Questionnaire
• Practical
• Large amounts of information can be collected from a large
number of people in a short period of time
• Can be carried out by the researcher or by any number of people
with limited affect to its validity and reliability
• The results of the questionnaires can usually be quickly and
easily quantified by either a researcher or through the use of a
software package
• Can be analysed more 'scientifically' and objectively than other
forms of research
Disadvantages of Questionnaire
• Lacks validity
• There is no way to tell how truthful a respondent is being
• There is no way of telling how much thought a respondent has
put in
• The respondent may be forgetful or not thinking within the full
context of the situation
• People may read differently into each question and therefore
reply based on their own interpretation of the question
Interview
• It is one of the major techniques in gathering data or
information.
• It is a conversation between two or more people where
questions are asked by the interviewer to elicit facts or
statements from the interviewee.
Advantage of the Interview
• Generating more valid and compete information
• Interviewer can classify points or questions which are
vogue to the interviewee
• Seeing the sincerity in terms of answering the questions
• Flexibility
• Greater complex questions can be asked
Disadvantage of Interview
• Respondents would be hard to be contacted
• Time consuming
• Inaccurate in terms of getting numerical data
• Inaccurate due to bias data given by the interviewee
in favourable with the study
• Difficult to make conclusion
Observations
• Collect data on behavior
• Observation relies on the researchers’ ability to gather data
though their senses - and allows researchers to document actual
behaviour rather than responses related to behaviour
• Observing organizational behaviors in their functional settings is
one of the most direct ways to collect data.
Advantages to Observation:
• They are free of the biases inherent in the self-report data.
• They put the practitioner directly in touch with the behaviors in
question.
• They are involved real-time data, describing behavior occurring in
the present rather than the past.
• They are adapting in that they can be modified depending on what
is being observed.
Experimentation:
• Experimentation explores cause and effect relationships by
manipulating independent variables in order to see if there is a
corresponding effect on a dependent variable
• Pure experimentation requires both a controlled environment and
the use of a randomly assigned control group
• This can be difficult to achieve in human centred experiments
conducted in the real-world
Other ways of collecting data
• Schedules
• Warranty cards
• Store audits
• Pantry audits
• Consumer panels
• Use of mechanical devices
• Projective techniques
Thank You

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Data collection methods

  • 2. Introduction Data can be define as the quantitative or qualitative value of a variable (e.g. number, images, words, figures , facts or ideas) It is a lowest unit of information from which other measurements and analysis can be done. Data is one of the most important and vital aspect of any research study.
  • 4. Internal sources of Data: Many institutions and departments have information about their regular functions for their own internal purposes . When this type pf information are used in any survey is called internal sources of data. Eg social welfare societies. External sources of data: When information is collected from outside agencies is called external sources of data. Such types of data are either primary or secondary. This type of information can be collected by census or sampling method by conducting survey
  • 5. Primary Data • Data that has been collected from first-hand experiences is known as primary data. It has more reliable , authentic and not been published anywhere. • Such data are published by authorities who themselves are responsible for their collection. • They are original and raw Primary data has not been changed or altered by human being, therefore its validity is greater than secondary data. Example: • Documents • Creative works • Interviews • Man-made materials • Surveys
  • 6. Merits: Data interpretation is better High accuracy of data Address as specific research issues Greater control Demerits: Evaluated cost Time consuming More number of resources are required Inaccurate feedback Required lot of skill with labour.
  • 7. Secondary Data: Secondary data are those that have already been collected by others. These are usually in journals, research publication ,official record etc. Secondary data may be available in the published or unpublished form. When it is not possible to collect the data by primary method ,the investigator go for secondary method Example: • Unpublished thesis and dissertations • Manuscript • Books • Journals
  • 8. Merits – Quick and cheap source of data – Wider geographical area – Longer orientation period – Leading to find primary data Demerits – No fulfill our specific research needs – Poor accuracy – Data are not up to date – Poor accessibility in some cases
  • 9. Qualitative Method •Deals with descriptions. •Data can be observed but not measured. It approximates or characterizes but does not measure the attributes, characteristics, and properties of a thing or phenomenon.
  • 10. Quantitative Method • Deals with numbers. • Data which can be measured. • This method rely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories.
  • 11. Clerical Tools • Used when researcher studies people and gathers data on the feelings, emotions, attitudes and judgment of the subjects. Example: •Questionnaire •Interview •Experiment •Observation
  • 12. Mechanical Devices • Includes all tools that are used in different branch of science. It is more on to measure things. Example: • Thermometers • Cameras • Microscopes • Meter stick
  • 13. Questionnaire •It is a list of prepared questions or a checklist. •This is usually sent of distributed to respondents for the purpose of seeking their opinions, views, suggestions, or perceptions.
  • 14. Advantages of Questionnaire • Practical • Large amounts of information can be collected from a large number of people in a short period of time • Can be carried out by the researcher or by any number of people with limited affect to its validity and reliability • The results of the questionnaires can usually be quickly and easily quantified by either a researcher or through the use of a software package • Can be analysed more 'scientifically' and objectively than other forms of research
  • 15. Disadvantages of Questionnaire • Lacks validity • There is no way to tell how truthful a respondent is being • There is no way of telling how much thought a respondent has put in • The respondent may be forgetful or not thinking within the full context of the situation • People may read differently into each question and therefore reply based on their own interpretation of the question
  • 16. Interview • It is one of the major techniques in gathering data or information. • It is a conversation between two or more people where questions are asked by the interviewer to elicit facts or statements from the interviewee.
  • 17. Advantage of the Interview • Generating more valid and compete information • Interviewer can classify points or questions which are vogue to the interviewee • Seeing the sincerity in terms of answering the questions • Flexibility • Greater complex questions can be asked
  • 18. Disadvantage of Interview • Respondents would be hard to be contacted • Time consuming • Inaccurate in terms of getting numerical data • Inaccurate due to bias data given by the interviewee in favourable with the study • Difficult to make conclusion
  • 19. Observations • Collect data on behavior • Observation relies on the researchers’ ability to gather data though their senses - and allows researchers to document actual behaviour rather than responses related to behaviour • Observing organizational behaviors in their functional settings is one of the most direct ways to collect data.
  • 20. Advantages to Observation: • They are free of the biases inherent in the self-report data. • They put the practitioner directly in touch with the behaviors in question. • They are involved real-time data, describing behavior occurring in the present rather than the past. • They are adapting in that they can be modified depending on what is being observed.
  • 21. Experimentation: • Experimentation explores cause and effect relationships by manipulating independent variables in order to see if there is a corresponding effect on a dependent variable • Pure experimentation requires both a controlled environment and the use of a randomly assigned control group • This can be difficult to achieve in human centred experiments conducted in the real-world
  • 22. Other ways of collecting data • Schedules • Warranty cards • Store audits • Pantry audits • Consumer panels • Use of mechanical devices • Projective techniques