### Questions

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

### Model Solutions

Q1. Explain the Probability Sampling strategies with examples. 10

Model Structure
Introduction

• 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

Conclusion

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

Q2. Discuss Questionnaire as a technique of data collection. What are the characteristics of a good questionnaire? 10

Model Framework
Introduction

• 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
• 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.

Conclusion

• 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

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