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Survey research : definition

  • Broad-based, qualitative and/or quantitative research which collects data through pre-formulates question in a structured questionnaire to a representative sample of individuals drawn from a defined population
  • main advantage is number of participants processed
  • response / data can be recorded verbatim or coded for statistical analysis

Survey research : use

  • Research intangibles
    • as with interviews and focus group
  • Research material objects
      • necessary when no other source of data available (e.g. new rapidly changing technology very fast moving trends)
      • major assumptions:
        • 1) individual or group is representative of entire population
        • 2) intangible qualities of individual or group are representative of entire population
        • 2) knowing something about individual or group tells us something about entire population
    • Organizational studies
      • provides view of organization from the perspective of employees rather than management
      • survey can ensure anonymous and thus confidential responses from people concerned about speaking truthfully

Survey research: Advantage

  • Contact period with each participant is brist
    • speed- faster than focus groups
  • 2) can be conducted by assistants
    • speed- faster than focus group
    • cost – less expensive
  • 3) can fit method to participants
    • access – easier to recruit volunteers

Survey Research: Disadvantages

  • Reliability – data be superficial, inconclusive
  • Lack of historical perspective. “snapshot”

Process

  1. define the research problem
  2. review the literature
  3. design your research problem

Treatment of Human Subjects

  • Ethical consideration
    • do not place your participants at any risk
    • propriety and modesty
    • treat your participants with dignity and respect

Sample strategy

  • participants must be able to answer your research question for representative sample, must know entire populatin
  • set sample guidelines in relation to analytical categories (i.e. quota for each demographic you need for sample)
  • recruit participants until each quota is filled
  • result will be a stratified random sample

Sample size

  • Considerations
    • nature of research question
    • number of analytical categories

Setting and Timing

  • Location of response can affect quality of data collected
  • Timing of response can affect quality of data collected
    • Considerations
    • Comfort of participants (including ethical issues)
    • Access to communication
    • Distractions
  • Establish an interpretive context
    • a) specific participants used
    • b) mode of interpretation
    • as always, justify your research decision
  • Draft a questionnaire
    • Questionnaire- pre-determined list of questions to be answered by each participant (resembles coding schedule for content analysis)
      • brevity is important
      • typically, identify questions first
    • analytical questions follow
      • closed questions: all possible answers listed
      • open questions: black space for expected answers
      • research question: why science fiction a popular genre?
    • be cautious regarding the order of questions
    • don’t lead your respondents to provide specific responses, doing so will taint data, make it less reliable solution. Arrange the same questions in two or more ways, this reduces and/or guages the effect of bias in the order
  • Collect Data
    • use your sampling method and questionnaire
  • Data preparation and analysis
    • organization answers in most appropriate way
    • can count responses, as in content analysis
      • can create time line, as in historical research
      • can group data into themes, as in policy research
      • look for signposts and patterns
      • explain the patterns

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