POPULASI, SAMPEL, DAN TEKNIK SAMPLING

Summary

The video covers various sampling techniques in research, specifically focusing on saturated and snowball sampling. Saturated sampling is used for small populations, typically with fewer than 30 participants, where all units are selected. Snowball sampling, on the other hand, is ideal for hard-to-reach subjects, such as in forensic studies, where initial participants refer others, expanding the sample size over time. The speaker also emphasizes the practical applications of these methods in fields like forensic science and population research, offering insight into choosing the right technique based on the research context.

Takeaways

• 😀 Sampling techniques are crucial in research to collect data from populations.
• 😀 Sampling methods can vary based on the research context, ranging from random to targeted approaches.
• 😀 The first method discussed is Simple Random Sampling, where participants are randomly selected from a larger group.
• 😀 Stratified Random Sampling divides the population into subgroups to ensure representation across different categories.
• 😀 Systematic Sampling involves selecting every 'nth' person from a list or sequence to form a sample.
• 😀 Cluster Sampling is useful when the population is spread out geographically, grouping individuals into clusters and then sampling within them.
• 😀 Saturated Sampling refers to collecting data from every individual within a small population, often under 30 people.
• 😀 Snowball Sampling is used when initial participants help recruit others, making it suitable for hidden or hard-to-reach populations.
• 😀 Snowball Sampling can be effective in fields like forensics, where initial suspects or data sources expand into larger networks.
• 😀 Choosing the right sampling technique depends on the research objectives and the nature of the population being studied.

Q & A

What is the primary purpose of using sampling techniques in research?

Sampling techniques are used to select a representative subset of individuals or items from a larger population to make the research process more manageable and cost-effective, while still obtaining valid and reliable results.

What does 'Sampel Jenuh' (Saturation Sampling) mean in the context of research?

Saturation Sampling, or Sampel Jenuh, refers to a sampling method where researchers select a sample that fully represents the target population, typically when the population is small, often fewer than 30 individuals.

How does Saturation Sampling work and why is it used for small populations?

In Saturation Sampling, the researcher continues to sample until no new information is gained, meaning all relevant data from the population has been captured. This is particularly useful for small populations, where every individual is essential to the research.

What is the role of Snowball Sampling in research, and where is it typically applied?

Snowball Sampling is used to identify participants in hard-to-reach populations, where one participant leads to another, creating a snowball effect. This technique is often used in fields like forensics or social research when individuals are part of interconnected groups or networks.

How does the Snowball Sampling process work in practice?

In Snowball Sampling, one individual may provide information about other participants, who then provide more leads, and so on. This continues until enough participants are found for the research. It works like a snowball, starting small but growing larger as more connections are made.

Why is Snowball Sampling particularly useful in forensic investigations?

Snowball Sampling is effective in forensic investigations because it helps researchers track the spread of information or behaviors among a network of individuals. For instance, identifying the sources of illegal activities like distributing counterfeit goods can be done through this method.

Can you give an example of how Snowball Sampling might be used in a criminal investigation?

In a criminal investigation, a researcher may begin with two suspects and discover that each suspect has connections to others who also played a role in a crime. As these connections expand, a network of individuals involved in the crime is identified, following the snowball effect.

What are the limitations of Snowball Sampling?

A key limitation of Snowball Sampling is that it may introduce bias since the sample is dependent on the social networks of initial participants. This means that the sample may not be fully representative of the broader population.

What type of research studies benefit most from using Snowball Sampling?

Studies that involve hidden or difficult-to-reach populations, such as individuals involved in illegal activities, marginalized groups, or those with specialized knowledge, are the ones that benefit most from Snowball Sampling.

How can researchers ensure they are using the right sampling technique?

Researchers should choose a sampling technique based on the size and characteristics of their target population, the research goals, and the resources available. For smaller populations or specialized groups, methods like Saturation or Snowball Sampling may be more appropriate.