← Unit 3: Techniques of data collection and analysis
1. Sampling in Sociological Research
Selecting a Subset from the Population
Why Sampling is Important:
- Studying every member of population is often impossible
- Saves time, money, and resources
- Enables detailed study with manageable units
- Allows generalization to wider population
Definitions by Thinkers:
- George G.S. Bowley: "Sampling is a process of obtaining observations from a smaller group to estimate the characteristics of the larger group"
- Goode and Hatt: "Sampling enables the researcher to study a portion of the population in order to generalize findings to the entire population"
- Kerlinger: "Sampling is the selection of a representative group from the population to obtain information and draw general conclusions"
- Moser and Kalton: "Sampling is a technique of selecting part of the population for the purpose of obtaining information about the whole"
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- Sampling in Sociological Research
- Determining Appropriate Sample Size
- Key Features of Good Sampling
- Probability Sampling - Scientific Selection
- Non-Probability Sampling - Practical Selection
- Comparing Sampling Methods
- Strengths and Weaknesses of Sampling
- Sampling in Classic Sociological Studies
- Understanding Sampling Problems
- Reliability in Sociological Research
- Evaluating Reliability in Research
- Validity in Sociological Research
- Validity in Qualitative vs Quantitative Research
- Evaluating Validity in Research
- Practicality - Feasibility of Research
- Strategies for Quality Research
- Thinkers on Reliability and Validity
- Q: Discuss Sampling Methods in Sociological Research
- Q: Discuss the Concepts of Reliability and Validity in Sociological Research
- Sampling in the Digital Age
- Reliability and Validity in Digital Research
- Quick Revision Summary
- How to Write Answers on This Topic
- Expected Questions for OPSC/UPSC