Understanding Ways to Collect Data (6)

Quantitative Sampling

1. Definition and Purpose

Sampling is the process of selecting respondents for a study while minimizing cost...

2. Importance of a Sampling Plan

• Identifying parameters to be measured
• Designing the sampling scheme
• Selecting sample sizes
• Formatting data storage
• Assigning roles and responsibilities

3. Key Considerations for a Sampling Plan

1. From where within the population should we collect samples?
2. What type of samples should we collect?
3. What is the minimum sample size needed?

4. Sample Size Determination

4.1 Sample Size Formula for Normal Distribution

If the population follows a normal distribution...

4.2 Slovin’s Formula

Used when the population distribution is unknown...

n = N / (1 + Ne²)

5. Proportional Sampling Example

• Males: 35% × 286 = 100
• Females: 65% × 286 = 186

6. Sampling in Experimental Research

For experimental designs, minimum sample sizes depend on factors...

7. Generalization and Real-Life Applications

7.1 Real-World Example: Political Polls

Public opinion polls use sampling...

8. Determining Sample Size in Research

Guiding Questions

1. How many cases are needed?
2. What resources are available?