Sampling Techniques Notes PDF
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Uploaded by AttractiveSard9716
Malabon National High School
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Summary
This document provides notes on various sampling techniques, including probability sampling methods like simple random, stratified, systematic, and cluster sampling, and non-probability sampling methods such as convenience, quota, purposive, and snowball sampling. It also discusses the potential biases associated with each method and how sample size influences sampling techniques.
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**Sampling Techniques Notes** **Probability Sampling** - **Simple Random Sampling:** Every individual in the population has an equal chance of being selected. - **Stratified Sampling:** The population is divided into subgroups (strata) based on specific characteristics, and then a ran...
**Sampling Techniques Notes** **Probability Sampling** - **Simple Random Sampling:** Every individual in the population has an equal chance of being selected. - **Stratified Sampling:** The population is divided into subgroups (strata) based on specific characteristics, and then a random sample is drawn from each stratum. - **Systematic Sampling:** Individuals are selected at regular intervals from a numbered list. - **Cluster Sampling:** The population is divided into clusters (groups), and a random sample of clusters is selected. All individuals within the selected clusters are included in the sample. **Non-Probability Sampling** - **Convenience Sampling:** Individuals are selected based on their availability or ease of access. - **Quota Sampling:** A predetermined number of individuals from each subgroup is selected, regardless of their probability of being chosen. - **Purposive Sampling:** Individuals are selected based on specific criteria or characteristics relevant to the study. - **Snowball Sampling:** Participants are asked to refer others who meet the study criteria. **Sampling Methods and Population Size** **Random Sampling:** - **Can be used on both small and large populations.** Random sampling ensures that every individual in the population has an equal chance of being selected, regardless of the population size. **Non-Random Sampling:** - **Level of bias varies:** Non-random sampling methods can introduce bias, which can affect the representativeness and generalizability of the sample. The level of bias depends on several factors, including: - **Convenience Sampling:** High bias, as the sample may not be representative of the entire population. - **Quota Sampling:** Moderate bias, as the sample may be biased towards certain subgroups. - **Purposive Sampling:** Low bias if the selection criteria are carefully chosen to ensure representativeness. - **Snowball Sampling:** Moderate to high bias, as the sample may be biased towards individuals connected to the initial participants.
