sampling methods
Overview
This lesson explores various sampling methods used in psychological research to select participants from a target population. Understanding these methods is crucial for ensuring the representativeness and generalisability of research findings. We will differentiate between probability and non-probability sampling techniques and evaluate their strengths and weaknesses.
Introduction to Sampling and its Importance
Sampling is a fundamental aspect of research design, as it determines who participates in a study. The primary goal of sampling is to select a **sample** that is **representative** of the larger **target population**. If a sample is representative, the findings from the study can be **generalised** ...
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Key Concepts
- Target Population: The entire group of individuals that a researcher is interested in studying and from which a sample is drawn.
- Sample: A smaller, representative group of participants selected from the target population.
- Representativeness: The extent to which the characteristics of the sample accurately reflect the characteristics of the target population.
- Generalisability: The extent to which research findings from a sample can be applied to the wider target population.
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Exam Tips
- →Be able to define and distinguish between all key sampling methods (random, stratified, opportunity, volunteer, systematic) with clear examples.
- →For each sampling method, be prepared to state and explain at least two strengths and two weaknesses, linking them to representativeness, generalisability, and bias.
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