Sociology Daily Answer Writing (24-10-2022)

Socio Daily Writing


  1. Discuss Questionnaire as a technique of data collection. What are the characteristics of a good questionnaire?           20
  2. Explain the Probability Sampling strategies with examples.    10

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Model Solutions

1. Discuss Questionnaire as a technique of data collection. What are the characteristics of a good questionnaire? 20

Model Framework

  • Define Questionnaire: Questionnaire is a set of printed or written questions with a choice of answers, devised for the purposes of a survey or statistical study. It is used primarily as a quantitative data collection tool.

Main Body

  • Characteristics of a good questionnaire:
    • Unambiguous
    • It should not have doubtful questions
    • It should be appealing to the target audience
    • It should be brief
    • Aesthetically appealing
    • Mode of administration conducive to the target audience (soft/hard copy)
    • Coherent placement of questions
    • It should be intriguing
    • There shouldn’t be repetition
  • Use of questionnaire in sociological research- explain with examples
    • Goldthorpe and Lockwood affluent worker study
  • Advantages
    • Cheapest, fastest and relatively easiest method of quantitative data collection
    • High validity and reliability in close ended questionnaire
    • Flexibility in data collection
    • Highly objective
    • Limited need of experts
    • Scope for generalisation of data.
  • Limitations of using questionnaire for data collection
    • Leading questions can influence the response of participant
    • Social desirability bias
    • Non-response bias
    • Poor return of postal questionnaire
    • Researchers bias → sequence and questions are decided by him/her based on own values
      Note: Advantages and Limitations can be eliminated or explained briefly in 10 marker question, but they must be explained in 20 marker question.


  • Hybrid of quantitative methods like questionnaire and quantitative method must be used for sociological research.
    • Triangulation Method given by Norman K Denizen
    • Socio logic by Micheal Mann

2. Explain the Probability Sampling strategies with examples. 10

Model Structure

  • Definition of Sampling
  • Definition of Probability Sampling

Main Body

  • Types of Probability Sampling with slight explanation - simple random, stratified random, random cluster and systematic sampling (You can use figures for explaining these types)
  • Examples - Use probability sampling to collect data, even if you collect it from a smaller population.
  • Benefits - cost effective, simple and straightforward.
  • Limitations - reliability of sample, problem of Quantification.
    Steps to conduct probability sampling
  1. Choose your population of interest carefully and then include them in the sample.
  2. Determine a suitable sample frame
  3. Select your sample and start your survey:


  • Despite limitations, it provides cost effective and simple investigation of social issues.

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