[PART 1] POPULASI DAN SAMPEL PENELITIAN

Summary

This video explains the concepts of population and sample in research. It starts by introducing population as a group of subjects with specific characteristics, which can include people, animals, events, or even objects. The video emphasizes that while a researcher may want to study an entire population, limitations like time and resources often make studying the entire group impractical. In such cases, researchers can study a representative sample. The video also stresses the importance of proper sampling techniques to ensure accurate conclusions, setting the stage for further learning on sampling methods in the next video.

Takeaways

• 😀 Population in research refers to the entire group of people, animals, events, or objects with certain characteristics that researchers want to study.
• 😀 A population can include humans, animals, events, or even inanimate objects depending on the research focus.
• 😀 The term 'population' in research is not limited to just people; it can include any entity with defined characteristics.
• 😀 An example of a population could be the customers of a particular bank in a specific city, such as all the customers of a Shariah bank in city B.
• 😀 When the researcher aims to study the entire population, it is called a census.
• 😀 If studying the entire population is impractical, researchers may choose to study only a sample from the population.
• 😀 Sampling is necessary when the population is too large to study in its entirety due to limitations like time, money, and resources.
• 😀 The findings from a sample can be generalized to the larger population if the sample is representative.
• 😀 If the sample is not representative, the conclusions drawn will be inaccurate, like if you only study parts of an elephant and fail to capture its full form.
• 😀 Learning about sampling techniques is crucial for ensuring that the sample chosen is representative of the population, which will be covered in the next video.

Q & A

What is meant by 'population' in research?

In research, 'population' refers to the entire group of individuals, animals, events, or objects that share specific characteristics and are the subject of study. The population encompasses everything the researcher aims to understand or analyze.

Can 'population' in research only refer to humans?

No, a population in research can refer to humans, animals, events, objects, or even specific conditions. Anything with particular characteristics that is the focus of a study can be considered a population.

What is an example of a population in a research study?

An example could be the population of *bank customers* at a specific bank in a city, or even more specific groups like customers who use a particular product, such as murabahah financing in a Shariah bank.

What is the difference between a 'census' and a 'sample' in research?

A 'census' involves studying the entire population, while a 'sample' refers to a subset of the population. A sample is used when studying the entire population is impractical due to time, resources, or other constraints.

Why might researchers choose to study a sample instead of the entire population?

Researchers often opt for studying a sample because it is more practical. Studying the entire population can be too time-consuming, expensive, or resource-heavy. A well-chosen sample can still provide reliable insights about the entire population.

What does it mean for a sample to be 'representative'?

A representative sample accurately reflects the characteristics of the larger population. The sample must include a variety of individuals or items that mirror the diversity found within the population to ensure that the results are valid.

What could happen if a sample is not representative of the population?

If a sample is not representative, the conclusions drawn from the sample may not accurately reflect the population. This could lead to incorrect or biased results, which is why choosing the right sampling technique is crucial.

Why is the analogy of the elephant used in the script?

The elephant analogy is used to illustrate how an incomplete or unrepresentative sample can lead to an inaccurate understanding of the whole. For example, studying only one part of the elephant, like its trunk or tail, won't give a complete picture of the entire animal.

What will be covered in the next video related to sampling?

The next video will focus on techniques for selecting a representative sample, which are essential for ensuring the validity of research findings.

What is the main message of the script regarding sampling in research?

The main message is that while studying a population in its entirety may not always be feasible, researchers must ensure that any sample they choose is representative of the population to draw accurate and meaningful conclusions.