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UNIT-6
METHOD OF DATA COLLECTION
 DATA – facts and other relevant materials, past and
present, serving as basis for study & analysis
 DATA COLLECTION METHOD – the strategy and system
used to gather information on elements of the research
 DATA SOURCE – the individual or institution from which the
evaluation data are collected (e.g., participants, parents, records,
etc.) – (primary or secondary)
 QUANTITATIVE DATA – numeric information that is
subject to statistical analysis
 QUALITATIVE DATA – text-based information that provides
descriptive details, often collected from interviews, focus
groups, or observations
TYPES OF DATA
 Data relating to human beings/Personal data-
› Demographic and socio economic characteristics of individuals:
age, gender, race, caste, social class, religion, marital status,
education, occupation, income, family size etc.
› Behavioural variables: attitudes, opinions, awareness,
knowledge, practice, intentions etc..
 Organizational data: Origin, Ownership, Objectives, resources
functions, performance, growth etc..
 Territorial data: population, occupational pattern, infrastructure,
degree of development, villages, cities, state,….
IMPORTANCE OF DATA
 Basis for analysis
 Relevance, adequacy and reliability of data determine quality
of findings
 Basis for testing hypotheses
 Required for constructing measurement scales and tables for
analysis.
SOURCES OF DATA
 Primary sources : original sources directly
collected by researcher, not collected earlier.
Methods- observation, interviewing, questionnaire
etc..
 Secondary sources: readily available, complied
statistical statements and reports.
Eg: Census reports, annual reports, government
reports.. Published and unpublished data.
FEATURES OF SECONDARY DATA
 Readymade and readily available do not require
any processing
 Researcher has no control over content of data
colleted and form of classification. (can limit the
research value)
 Not limited by time & space – researcher need not
have been present when and where they were
gathered.
Uses of secondary data
Reference purpose
A bench marks against which findings of a research may be
tested.
Used as the sole source of information for a research project.
Advantages of Secondary data:
secured quickly and cheaply
Can cover wider geographical area and longer reference
period without extra cost.
Broadens the data base, useful for generalizations.
Enables verification of findings of primary data.
Limitations of secondary data
 Available data may not meet our specific needs
 Data may not be accurate and reliable
 Data is not up-to-date or outdated
 Information about the whereabouts (location)of sources
may not be available .
Primary Data Collection
Methods
Observation,
interviewing,
experiments,
planning and conducting research,
panel method,
mail survey,
simulation
OBSERVATION
 Observation as a method includes seeing , hearing and
perceiving.
 Observation is a classic method of scientific enquiry
 Meaning
Observation is a systematic viewing of a specific phenomenon
in its proper setting for the specific purpose of gathering data
for a particular study
 Observation becomes scientific when
a) Serves a formulated research purpose
b) Is planned deliberately
c) Recorded systematically
d) Is subject to checks and controls on validity and
reliability
Observation - features
 Both Physical & mental activity
 Selective
 Purposive and not casual
 Captures the natural social context in which the person’s
behaviour occurs
 Obseravtion Should be exact and based on tools of research
 OBSERVATIONAL METHODS ARE:
1. Direct observation
2. Indirect observation
3. Participant observation
4. Non participant observation
5. Controlled observation
6. Uncontrolled observation
 Direct observation
In personal observation, a researcher observes actual behaviour
as it occurs. The observer may or may not normally attempt to
control or manipulate the phenomenon being observed. The
observer merely records what takes place.
 Indirect observation
This does not involve the physical presence of the observer, and
the recordings is done by mechanical, photographic or electronic
device
 Non-participant
The observer does not normally question or communicate with
the people being observed. He or she does not participate.
 Participant
In this observation, the observer is a part of the phenomenon or
group which is observed and he acts as both an observer and a
participant
Controlled & Uncontrolled observation
 Controlled observation is carried out in a
laboratory or in a field. It is structured as to what,
how and when to observe, exercising control over
external and internal variables by adopting
experimental design.
 Uncontrolled observation does not involve
control over variables. Used for descriptive
research.
OBSERVATION TOOLS
 Schedules – constructed on the basis of objectives,
hypotheses, data requirements of the study
 Field observation log- form of diary or cards. Rough notes
are later transferred to full log. Flexible, allows
rearrangement.
 Mechanical devices- cameras, tape recorders, videotape,
etc..permanent record of events
Advantages of observation
 First hand information collected by researcher directly
 Data collected in a natural setting
 Suitable to study subjects who are unable to formulate
meaningfully
 Less demanding on the subjects
 Mechanical devices may be used to collect accurate data,
and for long periods.
LIMITATIONS
 Cannot study past events or activities
 Not suitable for studying opinions and attitudes
 Difficulty in obtaining a representative sample
 Cannot be used at the convenience of the researcher. He
has to wait for the event to take place.
 Slow & expensive process.
Interviewing
 Defined as a two - way systematic conversation between an
investigator and an informant, initiated for obtaining
information relevant to a specific study.
 Involves not only conversation but also learning from the
respondents gestures, facial expressions and his/ her
environment
Importance of interviewing
 Suitable to gather information from illiterates.
 Collection of wide range of data:
a) Covers demographic data
b) Personal and intimate information – person’s
opinions, attitudes, values, past experiences etc…
 Helps investigator to seek clarification
Advantages of interview
 Depth and detail of information
 Interviewer can control as well as improve the percentage
and quality of responses
 Can gather supplementary information such as economic
level, motives and feelings
 Can use special scoring devices, visual material to improve
the quality of interviewing
 Flexible and adaptable
Disadvantages
 Costly both in money and time
 Skill of the interviewer
 Respondent’s bias
 Geographical limitations
Requirements of interviewing
 Data availability
 Role perception
 Respondents motivation
Types of interview
1. Structured / directive interview
 Carried out with a detailed standardized schedule
 Same questions are put to all respondents and in the same
order, which also promotes reliability
 Used in large scale formalized surveys
2. Unstructured / Non-directive interview
 Also called in-depth interview
 Detailed pre-planned schedule is not used
 Interviewer encourages the respondent to talk freely
 Questions are not standardized
3. Focused interview
 Semi structured interview
 Attempts to focus the discussion on the actual effect of a
given experience to which the respondents have been
exposed.
 Interview is focused on the subjective experiences of the
respondent
4. Clinical interview
 Its concerned with broad feelings or motivations or
with the course of the individual’s life experiences
 Eg:- personal history interview in social case works
,prisons , psychiatric clinics
 Respondents are encouraged to talk freely about them
5. Telephone interviewing
 Non- personal method of data collection
 Helpful when
1. Population is listed in phone directory
2. Responses to few simple questions
3. Respondents are scattered
Interviewing process
 Preparation
 Introduction
 Developing rapport
 Carrying the interview forward
 Recording the interview
 Closing the interview
EXPERIMENTATION
 An experiment is a trial or special observation made to
confirm or disprove something
 It aims at studying the effect of a independent variable on
a dependent variable.
 Experimentation is a research process used to study the
casual relationships between variables
 Application/Types:
› Laboratory experiment
› Field experiment
PLANNING AND CONDUCTING RESEARCH
 Determine the hypothesis to be tested and the independent and
dependent variables involved
 Identify their measurable dimensions
 Make experimental conditions as nearly as real life conditions
Advantages
 Determine casual relationship between variables
 The element of human errors is reduced to the minimum
 It generally yields exact measurements and can be repeated
for verifying results
Disadvantages
 Artificiality
 Not helpful in determining opinions, motives and intensions
of persons
 Experimentation with human beings is extremely limited
 Cost of experimentation can overweigh the available
resources
 Applied only to studies of present and not past.
Panel method
 Data is collected from the same sample
respondents at intervals either by mail or by
personal interview.
 The period over which the panel members are
contacted for information may spread over several
months or years
Advantages of panel
 Accuracy
 Before – after designs for field – based studies
 Its possible to study trends in events, behaviour or
attitudes
 It provides evidence on casual relationship between
variables
 Facilitates depth interviewing
Disadvantages
 Very expensive
 Difficult to set up a representative panel
 Panel conditioning
 Quality can decline due to decreasing interest
Mail survey
 Involves sending questionnaire to the respondents
with a request to complete them and return them
by post
 Can be used in case of educated respondents only
 It should preferably contain closed- end and
multiple choice questions
Advantages
 Less costly than personal interviews
 Can cover extensive geographical areas
 Contacting various sets of people
 The respondent can complete the questionnaire at
their convenience
 Provides more anonymity
 Free from interview bias
 Personal and economic data may be given more
accurately
disadvantages
 Scope is less in countries were literacy rate is low
 Response rate is low
 The cause for non - response is not known
 Information on Personal characteristics and
environment of the respondent cannot be secured
 incomplete responses
Simulation
 Form of observational method
 Simulation is a theoretical model of the element, relation
and processes which symbolize some referent system
 Abelson defines simulation as “ the exercise of a flexible
limitation of process and outcomes for the purpose of
clarifying or explaining the mechanism involved.”

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Chap 6

  • 2.  DATA – facts and other relevant materials, past and present, serving as basis for study & analysis  DATA COLLECTION METHOD – the strategy and system used to gather information on elements of the research  DATA SOURCE – the individual or institution from which the evaluation data are collected (e.g., participants, parents, records, etc.) – (primary or secondary)  QUANTITATIVE DATA – numeric information that is subject to statistical analysis  QUALITATIVE DATA – text-based information that provides descriptive details, often collected from interviews, focus groups, or observations
  • 3. TYPES OF DATA  Data relating to human beings/Personal data- › Demographic and socio economic characteristics of individuals: age, gender, race, caste, social class, religion, marital status, education, occupation, income, family size etc. › Behavioural variables: attitudes, opinions, awareness, knowledge, practice, intentions etc..  Organizational data: Origin, Ownership, Objectives, resources functions, performance, growth etc..  Territorial data: population, occupational pattern, infrastructure, degree of development, villages, cities, state,….
  • 4. IMPORTANCE OF DATA  Basis for analysis  Relevance, adequacy and reliability of data determine quality of findings  Basis for testing hypotheses  Required for constructing measurement scales and tables for analysis.
  • 5. SOURCES OF DATA  Primary sources : original sources directly collected by researcher, not collected earlier. Methods- observation, interviewing, questionnaire etc..  Secondary sources: readily available, complied statistical statements and reports. Eg: Census reports, annual reports, government reports.. Published and unpublished data.
  • 6. FEATURES OF SECONDARY DATA  Readymade and readily available do not require any processing  Researcher has no control over content of data colleted and form of classification. (can limit the research value)  Not limited by time & space – researcher need not have been present when and where they were gathered.
  • 7. Uses of secondary data Reference purpose A bench marks against which findings of a research may be tested. Used as the sole source of information for a research project. Advantages of Secondary data: secured quickly and cheaply Can cover wider geographical area and longer reference period without extra cost. Broadens the data base, useful for generalizations. Enables verification of findings of primary data.
  • 8. Limitations of secondary data  Available data may not meet our specific needs  Data may not be accurate and reliable  Data is not up-to-date or outdated  Information about the whereabouts (location)of sources may not be available .
  • 9. Primary Data Collection Methods Observation, interviewing, experiments, planning and conducting research, panel method, mail survey, simulation
  • 10. OBSERVATION  Observation as a method includes seeing , hearing and perceiving.  Observation is a classic method of scientific enquiry  Meaning Observation is a systematic viewing of a specific phenomenon in its proper setting for the specific purpose of gathering data for a particular study
  • 11.  Observation becomes scientific when a) Serves a formulated research purpose b) Is planned deliberately c) Recorded systematically d) Is subject to checks and controls on validity and reliability
  • 12. Observation - features  Both Physical & mental activity  Selective  Purposive and not casual  Captures the natural social context in which the person’s behaviour occurs  Obseravtion Should be exact and based on tools of research
  • 13.  OBSERVATIONAL METHODS ARE: 1. Direct observation 2. Indirect observation 3. Participant observation 4. Non participant observation 5. Controlled observation 6. Uncontrolled observation
  • 14.  Direct observation In personal observation, a researcher observes actual behaviour as it occurs. The observer may or may not normally attempt to control or manipulate the phenomenon being observed. The observer merely records what takes place.  Indirect observation This does not involve the physical presence of the observer, and the recordings is done by mechanical, photographic or electronic device
  • 15.  Non-participant The observer does not normally question or communicate with the people being observed. He or she does not participate.  Participant In this observation, the observer is a part of the phenomenon or group which is observed and he acts as both an observer and a participant
  • 16. Controlled & Uncontrolled observation  Controlled observation is carried out in a laboratory or in a field. It is structured as to what, how and when to observe, exercising control over external and internal variables by adopting experimental design.  Uncontrolled observation does not involve control over variables. Used for descriptive research.
  • 17. OBSERVATION TOOLS  Schedules – constructed on the basis of objectives, hypotheses, data requirements of the study  Field observation log- form of diary or cards. Rough notes are later transferred to full log. Flexible, allows rearrangement.  Mechanical devices- cameras, tape recorders, videotape, etc..permanent record of events
  • 18. Advantages of observation  First hand information collected by researcher directly  Data collected in a natural setting  Suitable to study subjects who are unable to formulate meaningfully  Less demanding on the subjects  Mechanical devices may be used to collect accurate data, and for long periods.
  • 19. LIMITATIONS  Cannot study past events or activities  Not suitable for studying opinions and attitudes  Difficulty in obtaining a representative sample  Cannot be used at the convenience of the researcher. He has to wait for the event to take place.  Slow & expensive process.
  • 20. Interviewing  Defined as a two - way systematic conversation between an investigator and an informant, initiated for obtaining information relevant to a specific study.  Involves not only conversation but also learning from the respondents gestures, facial expressions and his/ her environment
  • 21. Importance of interviewing  Suitable to gather information from illiterates.  Collection of wide range of data: a) Covers demographic data b) Personal and intimate information – person’s opinions, attitudes, values, past experiences etc…  Helps investigator to seek clarification
  • 22. Advantages of interview  Depth and detail of information  Interviewer can control as well as improve the percentage and quality of responses  Can gather supplementary information such as economic level, motives and feelings  Can use special scoring devices, visual material to improve the quality of interviewing  Flexible and adaptable
  • 23. Disadvantages  Costly both in money and time  Skill of the interviewer  Respondent’s bias  Geographical limitations
  • 24. Requirements of interviewing  Data availability  Role perception  Respondents motivation
  • 25. Types of interview 1. Structured / directive interview  Carried out with a detailed standardized schedule  Same questions are put to all respondents and in the same order, which also promotes reliability  Used in large scale formalized surveys
  • 26. 2. Unstructured / Non-directive interview  Also called in-depth interview  Detailed pre-planned schedule is not used  Interviewer encourages the respondent to talk freely  Questions are not standardized
  • 27. 3. Focused interview  Semi structured interview  Attempts to focus the discussion on the actual effect of a given experience to which the respondents have been exposed.  Interview is focused on the subjective experiences of the respondent
  • 28. 4. Clinical interview  Its concerned with broad feelings or motivations or with the course of the individual’s life experiences  Eg:- personal history interview in social case works ,prisons , psychiatric clinics  Respondents are encouraged to talk freely about them
  • 29. 5. Telephone interviewing  Non- personal method of data collection  Helpful when 1. Population is listed in phone directory 2. Responses to few simple questions 3. Respondents are scattered
  • 30. Interviewing process  Preparation  Introduction  Developing rapport  Carrying the interview forward  Recording the interview  Closing the interview
  • 31. EXPERIMENTATION  An experiment is a trial or special observation made to confirm or disprove something  It aims at studying the effect of a independent variable on a dependent variable.  Experimentation is a research process used to study the casual relationships between variables  Application/Types: › Laboratory experiment › Field experiment
  • 32. PLANNING AND CONDUCTING RESEARCH  Determine the hypothesis to be tested and the independent and dependent variables involved  Identify their measurable dimensions  Make experimental conditions as nearly as real life conditions
  • 33. Advantages  Determine casual relationship between variables  The element of human errors is reduced to the minimum  It generally yields exact measurements and can be repeated for verifying results
  • 34. Disadvantages  Artificiality  Not helpful in determining opinions, motives and intensions of persons  Experimentation with human beings is extremely limited  Cost of experimentation can overweigh the available resources  Applied only to studies of present and not past.
  • 35. Panel method  Data is collected from the same sample respondents at intervals either by mail or by personal interview.  The period over which the panel members are contacted for information may spread over several months or years
  • 36. Advantages of panel  Accuracy  Before – after designs for field – based studies  Its possible to study trends in events, behaviour or attitudes  It provides evidence on casual relationship between variables  Facilitates depth interviewing
  • 37. Disadvantages  Very expensive  Difficult to set up a representative panel  Panel conditioning  Quality can decline due to decreasing interest
  • 38. Mail survey  Involves sending questionnaire to the respondents with a request to complete them and return them by post  Can be used in case of educated respondents only  It should preferably contain closed- end and multiple choice questions
  • 39. Advantages  Less costly than personal interviews  Can cover extensive geographical areas  Contacting various sets of people  The respondent can complete the questionnaire at their convenience  Provides more anonymity  Free from interview bias  Personal and economic data may be given more accurately
  • 40. disadvantages  Scope is less in countries were literacy rate is low  Response rate is low  The cause for non - response is not known  Information on Personal characteristics and environment of the respondent cannot be secured  incomplete responses
  • 41. Simulation  Form of observational method  Simulation is a theoretical model of the element, relation and processes which symbolize some referent system  Abelson defines simulation as “ the exercise of a flexible limitation of process and outcomes for the purpose of clarifying or explaining the mechanism involved.”