GRADE 12: A DATA COLLECTION SAMPLING PROCEDURE.pptx

GRADE 12: A DATA COLLECTION SAMPLING PROCEDURE

1. SAMPLING PROCEDURE DATA COLLECTION

2. Sampling procedures are essential in research to gather data effectively. This report focuses on various sampling methods and their role in data collection.

3. Types of Sampling Procedures 1. Random Sampling - Involves selecting a random sample from the population. - Advantages: Representativeness of the sample. - Disadvantages: Time-consuming and costly

4. 2. Stratified Sampling - Divides the population into subgroups for sampling. - Advantages: Ensures representation of all subgroups. - Disadvantages: Requires prior knowledge of population characteristics .

5. 3. Cluster Sampling - Divides the population into clusters and randomly selects clusters. - Advantages: Cost-effective for large populations. - Disadvantages: Potential cluster homogeneity.

6. 4. Systematic Sampling - Selects every nth element from the population. - Advantages: Simple and easy to implement. - Disadvantages: Potential bias if there is a pattern in the population.

7. Data Collection Methods 1. Surveys - Utilizes questionnaires to gather data from respondents.

8. 2. Observations - Involves direct observation of subjects in their natural environment. - Types: Participant observation, non-participant observation. - Examples: Behavioral studies, environmental observations.

9. 3. Interviews - Conducted to gather in-depth information from participants. - Types: Structured interviews, semi-structured interviews. - Examples: Job interviews, research interviews.

10. 4. Experiments - Controlled studies to test hypotheses and gather data. - Types: Laboratory experiments, field experiments. - Examples: Medical trials, psychology experiment