Research Methods and Problem Solving Day 2: Social Science Data Collection Techniques PowerPoint PPT Presentation

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Title: Research Methods and Problem Solving Day 2: Social Science Data Collection Techniques


1
Research Methods and Problem SolvingDay 2
Social Science Data Collection Techniques
  • Marie McHugh

2
What well Cover
  • Primary and Secondary Research
  • Survey Design
  • Case Study Design
  • Data Collection using Questionnaire and
    Interviews
  • Unobtrusive Measures Observation

3
Primary and Secondary Research
  • Some examples to explain-
  • Literature Reviews
  • Company Information
  • Direct data collection from the participants of
    the research

4
Survey Design
  • The survey is wide and inclusive
  • A snapshot of how things are
  • Empirical research

5
Types of Survey
  • Postal questionnaire
  • Face-to-face interviews
  • Telephone interviews
  • Documents
  • Observations

6
Postal Questionnaires
  • Best known type
  • Usually received cold
  • No personal contact
  • Low response rate but..it depends

7
Face-to-Face Interviews
  • Direct contact between the researcher
    respondent
  • More expensive than post or telephone but
  • Better quality data
  • Better response rate
  • Can sell research
  • Can carefully select respondents

8
Telephone Interviews
  • More frequently used than before
  • Cheaper quicker than other methods
  • As good as other methods in certain circumstances
  • Immediate interaction with respondent
  • More intrusive than postal questionnaire

9
Documents
  • Literature review
  • Company reports
  • Financial records
  • Employment statistics etc.

10
Observations
  • Classic social surveys
  • Observations of poverty, living conditions
  • Surveys mean looking as well as asking

11
Sampling
  • Collecting data from a portion
  • Expect portion to represent whole
  • Careful selection
  • Probability non probability sampling
  • Sampling frame

12
Response Rates
  • Proportion of total distributed that are returned
  • Good research minimises non-responses
  • Sample size

13
Survey Advantages and Disadvantages
  • Empirical data
  • Wide and inclusive coverage
  • Quantitative data
  • Costs and time
  • Tendency towards empiricism
  • Detail and depth of data
  • Accuracy and honesty of responses

14
Some Features of the Case Study
  • Spotlight on one instance
  • In-depth study
  • Focus on relationships and processes
  • Natural setting
  • Multiple sources and multiple methods

15
Decision to Use Case Study
  • Strategic
  • Relates to scale and scope
  • Doesnt dictate methods
  • Investigate small numbers in-depth
  • Studying things as they occur naturally

16
Case Study Emphasises
  • Depth of study rather than
  • The particular rather than
  • Rels/processes rather than
  • Holistic view rather than
  • Natural settings rather than
  • Multiple sources rather than
  • Breadth of Study
  • The general
  • Outcomes and end products
  • Isolated factors
  • Artificial situations
  • One research method

17
Selecting Cases
  • On the basis of suitability
  • On the pragmatic basis
  • On the basis of no real choice

18
Trying to GeneraliseQuestions People Will Ask
  • How representative is case?
  • Findings are interesting but arent they unique
    to particular situation?
  • How can you generalise on the basis of research
    into one instance?

19
To Generalise, Researcher Must
  • Identify significant features on which comparison
    with others in class can be made and
  • Show how case study compares with others in class
    in terms of significant features

20
Advantages of Case Studies
  • Focus on few instances, deal with subtleties,
    analysis is holistic
  • Allows for use of variety of methods
  • Fosters use of multiple sources of data, and
    triangulation
  • Good where researcher has little control over
    events

21
Disadvantages of Case Studies
  • Credibility of generalisations
  • Perceived to produce soft data
  • Boundaries are difficult to define
  • Negotiating access
  • Observer effect

22
Data Collection Through Questionnaires
  • Research Questionnaires should
  • Be designed to collect data that can be analysed
  • Consist of a list of written questions
  • Gather information by asking people directly
    about issues relating to topic

23
Questionnaires are best when
  • Used in large numbers in many locations
  • Fairly straightforward information is required
  • Social climate permits open/honest answers
  • Need standardised data
  • Time allows for delays
  • Respondents can understand questions

24
Questionnaire Design Issues
  • Background information about it
  • Instructions to the respondent
  • Allocation of serial numbers
  • Coding boxes
  • Length and appearance

25
Constructing Questions
  • Identify key issues
  • Questions shouldnt irritate respondents
  • Style should suit target group
  • Questions should ask about respondents only

26
A Few Donts
  • Ask leading questions
  • Ask same question twice
  • Make wording ambiguous
  • Have vague questions
  • Make unwarranted assumptions
  • Use terms that are not pc

27
Issues of Question Ordering
  • Logical to respondent
  • Most straightforward at start
  • Least contentious at start
  • Sequence shouldnt lead respondent to inevitable
    answers

28
Types of Questions
  • Would questionnaire benefit from using different
    types of questions?
  • Open questions
  • Closed questions
  • Rating scales
  • Rank ordering

29
Evaluating Questionnaires
  • Will it provide the information that you need?
  • Will it provide accurate information?
  • Are you likely to get a decent response rate?
  • Does it adopt an ethical stance?
  • Is it feasible?

30
Advantages and Disadvantages of Questionnaires
  • Economical
  • Easier to arrange than interviews
  • Supply standard answers
  • Precoded answersbut
  • Precoded answers can frustrate respondents and
    stifle answers
  • Postal questionnaires leave no opportunity to
    check truth
  • Limits shape and nature of answers

31
Interviews
  • When researcher has opted for depth rather than
    breadth
  • Ask does the research require detailed
    information that interviews supply?
  • Can you rely on information gathered from small
    numbers?

32
Some Justification for Interviews
  • Data is based on emotions
  • Data is based on sensitive issues
  • Data is based on privileged information

33
Key Questions to Ask Before Starting
  • Is it possible to access prospective
    interviewees?
  • Are interviews viable given the costs of time and
    travel?

34
Types of Interview
  • Structured
  • Semi-structured
  • Unstructured
  • One-to-one
  • Group interviews
  • Focus groups

35
Issues of Interviewer Effect
  • Personal identity
  • Self presentation
  • Personal involvement

36
Planning Preparing for Interviews
  • The topic for discussion
  • Choice of informants
  • Authorisation
  • Arranging time

37
Getting a Record of What is Said
  • A permanent record
  • Field notes
  • Tape recordings
  • Equipment

38
Conducting the Interview
  • Introduction and formalities
  • Monitoring progress
  • Finishing the interview

39
Some Advantages and Disadvantages of Interviews
  • Depth if information and insights
  • Little equipment
  • Check accuracy on the spot
  • High response rate BUT.
  • Time consuming
  • Data analysis is unwieldy
  • Inhibitions of information
  • High resource commitment

40
Observation a Few Basics
  • Evidence from first hand
  • Systematic observation
  • Participant observation

41
Perception and Observation
  • Issues of competence
  • Selective recall
  • Selective perception
  • Accentuated perception

42
What is Observed Depends on
  • Familiarity
  • Past experience
  • Current state
  • Our interpretation

43
Systematic and Participant Observation
  • On the side lines and in the background
  • Observer as participant

44
Issues of Ethics
  • Not revealing identity/purpose
  • Receipt of confidential information

45
Contact Details
  • Office - 1K21
  • Tel.- 028 90 368844
  • E-mail ml.mchugh_at_ulster.ac.uk
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