Sampling

The video tutorial explains sampling in psychological research, comparing it to medical sampling. It covers key terms like target population, sample, representativeness, and generalisability. The tutorial distinguishes between probability and non-probability sampling, detailing methods like random, stratified, convenience, purposive, and self-selected sampling. It discusses the strengths and challenges of each method, emphasizing the importance of representativeness and generalization. The video concludes with a reminder to understand key terms and methods, and offers additional resources for further learning.

What is the term used to describe the entire group of people that could potentially be studied in research?

• Experimental Group

• Sample

• Target Population

• Control Group

Which sampling method ensures every member of a target population has an equal chance of being selected?

• Stratified Sampling

• Convenience Sampling

• Random Sampling

• Purposive Sampling

In stratified sampling, what is the main goal?

• To select participants based on convenience

• To create a mini-reflection of the target population

• To select participants based on specific characteristics

• To advertise for volunteers

Which sampling method involves selecting participants who are readily available?

• Purposive Sampling

• Opportunity Sampling

• Stratified Sampling

• Random Sampling

Why might researchers choose non-probability sampling methods?

• They eliminate all forms of bias

• They are quicker and cheaper

• They ensure a representative sample

• They are more expensive and time-consuming

What is a major limitation of non-probability sampling methods?

• They are always representative

• They are difficult to conduct

• They may introduce bias and limit generalisability

• They require large sample sizes

What is the difference between random sampling and random allocation?

• Random sampling is about selecting a sample, while random allocation is about assigning roles within a sample

• There is no difference between the two

• Random sampling is used only in non-probability methods

• Random allocation is used to select a sample