Populasi dan Sampel
Summary
TLDRThis video explains the difference between population and sample in research, particularly in quantitative studies. Population refers to all the objects being studied, while a sample is a representative subset of that population. The speaker emphasizes that sampling is crucial because studying an entire population is often impractical due to time, cost, and effort constraints. The video highlights the importance of using proper sampling techniques to ensure that results from the sample accurately represent the population, providing an efficient and reliable alternative to studying everyone.
Takeaways
- 😀 Population refers to all objects or individuals being studied in research.
- 📊 For example, if studying the impact of motivation on English learning in a school, the population is all the students in that school.
- 🔍 Sample is a representation of the population, usually consisting of fewer individuals than the entire population.
- 🧮 The sample size is typically smaller than the population to make the research more manageable and efficient.
- 💡 Sampling helps reduce time, cost, and effort while maintaining the accuracy of the research results.
- 🎯 The key is ensuring that the sample accurately represents the population for valid results.
- 🔬 Sampling techniques are crucial for choosing the right individuals to include in the sample.
- ⏳ Studying the entire population would be time-consuming and resource-intensive, making sampling more practical.
- 🛠 Techniques like sampling help balance accuracy with efficiency in research.
- 👍 For more details on quantitative research sampling methods, the speaker recommends watching future videos.
Q & A
What is the definition of a population in research?
-A population in research refers to all the objects or individuals that are being studied. For example, if the study is about the effect of learning motivation on English language achievement among students at a particular school, the population would include all the students at that school.
What is an example of a population in a survey about an election?
-An example of a population in an election survey would be all the voters participating in the election. For instance, in a quick count survey during a presidential election, the population would be all the eligible voters in that election.
How is a sample different from a population?
-A sample is a subset of the population, representing a smaller group that will be studied. It is chosen from the population to make the research more manageable. For instance, if there are 1,500 students in the population, the sample might consist of 150 or 250 students who will represent the entire group.
Why is sampling used in research?
-Sampling is used in research because studying an entire population can be costly and time-consuming. Sampling allows researchers to study a smaller, representative group, making the research process more efficient while still producing reliable results.
What is a key challenge when using a sample instead of the entire population?
-The key challenge when using a sample is ensuring that the results from the sample accurately represent the population. If the sample is not properly selected, the results may not be reliable or applicable to the entire population.
What is sampling technique, and why is it important?
-Sampling technique refers to the method used to choose the sample from the population. It is important because the right technique ensures that the sample accurately represents the population, which leads to more reliable and valid research results.
Can a sample provide the same results as studying the entire population?
-While studying a sample may not provide exactly the same results as studying the entire population, a properly selected sample can give results that are close enough to make meaningful conclusions about the population.
Why is it not practical to study the entire population in most research?
-Studying the entire population is often impractical because it requires more time, money, and resources. For large populations, such as all the residents of a city or country, it would be extremely difficult to gather data from every individual.
What are the benefits of using a sample in research?
-Using a sample in research is more cost-effective, time-efficient, and easier to manage than studying the entire population. A well-chosen sample can still yield valuable insights without the need for exhaustive data collection.
What should be considered when selecting a sample in quantitative research?
-When selecting a sample in quantitative research, researchers must ensure that the sample size and selection method are appropriate to accurately represent the population. This includes using the right sampling techniques to avoid bias and ensure the results are reliable.
Outlines
📚 Understanding Population and Sample in Research
The video starts with a greeting and an introduction to the common terms 'population' and 'sample', especially for those involved in quantitative research. Although these concepts may seem simple, many students make mistakes when defining them in research proposals. The speaker aims to clarify the difference between population and sample in a simple and concise way. A population refers to all objects or subjects being studied. For example, in a study examining the effect of motivation on English learning outcomes among students, the population would include all students of a particular school.
👥 Defining Population with Examples
This paragraph expands on the concept of population by using concrete examples. If a survey is conducted among students from a specific school, the population consists of all the students in that school. Similarly, in a national survey such as the 2019 presidential election, the population would be all voters in the election. The population encompasses every individual relevant to the research, making it a broad, inclusive group.
🧪 What is a Sample?
Here, the speaker defines the concept of a sample as a subset of the population that represents the whole group. The sample size is much smaller than the population; for instance, if there are 1,500 students, a sample might consist of just 150 or 250 students. Research results from this smaller group are used to generalize for the entire population. The key takeaway is that a sample acts as a representative of the population in the research process.
❓ Why Use a Sample Instead of the Whole Population?
This section explains the rationale behind using samples rather than studying the entire population. Although researching the whole population would provide more accurate results, it's often impractical due to time, cost, and effort constraints. For instance, conducting research on the entire population of a province or country would be too resource-intensive. Using a sample makes the research process more efficient and cost-effective.
⚖️ The Challenge: Making the Sample Represent the Population
The speaker highlights the challenge of ensuring that the results obtained from a sample are as accurate as if the entire population had been studied. This is why proper sampling techniques are crucial. If a sample is chosen correctly, its results will closely mirror those of the whole population, making the research valid and reliable. The difficulty lies in ensuring that the sample is truly representative.
🎯 Introduction to Sampling Techniques
The concept of sampling techniques is introduced as the method used to choose the sample. This involves deciding how many people will be part of the sample and ensuring that they represent the entire population. Random selection is emphasized, rather than relying on the researcher's preferences. The video hints at further discussion on different quantitative sampling methods, which will be covered in a subsequent video.
👍 Conclusion and Call to Action
In the final section, the speaker wraps up the explanation and encourages viewers to like, share, comment, and subscribe. The video closes with a warm farewell, thanking the audience for watching and offering hopes that the explanation has been helpful. There is a promise of more detailed content on sampling techniques in future videos.
Mindmap
Keywords
💡Populasi
💡Sampel
💡Penelitian Kuantitatif
💡Teknik Sampling
💡Quick Count
💡Motivasi Belajar
💡Hasil Penelitian
💡Objek yang Diteliti
💡Akurasi Penelitian
💡Efisiensi
Highlights
Introduction to the difference between population and sample in research.
Definition of population as all objects to be studied in a research.
Example of population: All students at SMP Negeri 2.
Explanation of sample as a representation of the population.
Example of sample: A subset of students from SMP Negeri 2.
Importance of sample representation in research.
Reasoning behind not studying the entire population.
Challenges of conducting research on a large population.
Benefits of using samples: Cost-effectiveness and efficiency.
The necessity of sampling techniques in quantitative research.
Sampling techniques ensure that the sample can represent the entire population.
The process of selecting a sample that is representative of the population.
The importance of proper sampling methods for research accuracy.
Discussion on how to ensure that a sample is representative of a population.
The role of sampling techniques in making research more manageable.
Encouragement to watch the next video for more on sampling techniques.
Closing remarks with a call to like, share, and subscribe for more content.
Transcripts
Hai semuanya Assalamualaikum
warahmatullahi wabarakatuh
teman-temannya akan atau sedang
mengerjakan Petty and pasti akrab dengan
kata populasi dan sampel khususnya bagi
melakukan penelitian kuantitatif
meskipun nampak sederhana kenyataannya
masih banyak saya temui ketika menguji
seminar proposal mahasiswa yang menulis
populasi dan sampel secara kurang tepat
nah pada video ini kita akan membahas
perbedaan antara populasi dan sampel
secara singkat dan dengan bahasa
sederhana dengan harapan kita bisa
memahaminya bersama-sama mari kita mulai
dari populasi populasi adalah semua
objek yang akan diteliti Misalnya Anda
ingin meneliti pengaruh motivasi belajar
terhadap prestasi belajar bahasa Inggris
siswa SMP Negeri 2 menuju maka
populasinya adalah seluruh siswa di
Day Negeri 2 memujuk kalau siswanya 1500
orang Berarti populasinya 1500 orang
kalau sesuai nya 2000 orang maka
populasinya 2000 orang karena populasi
adalah seluruh objek yang akan diteliti
atau misalnya sebuah lembaga survei
melakukan quick count Pilpres pada tahun
2019 kemarin maka populasinya adalah
semua pemilih pada Pilpres tahun
tersebut karena lembaga survei tersebut
akan meneliti pemilih pada Pilpres tahun
2011 maka populasinya adalah semua
pemilih nah bagaimana dengan sampel
sampel adalah perwakilan dari populasi
misalnya populasi nya adalah seluruh
siswa SMP Negeri 2 Mamuju yang jumlahnya
1500 orang maka sampelnya tidak sampai
1500 orang Tetapi beberapa orang saja
Misalnya 150 orang
250 orang ini yang nantinya akan
diteliti dan hasil penelitian dari 150
orang ini akan mewakili 1500 orang tadi
jadi kata kuncinya adalah perwakilan
sampel mewakili populasi misalnya
populasi nya ini sampelnya ini
populasinya ini sampelnya segini
populasinya ini sampelnya ini Nah kenapa
harus ada sampel kenapa kita tidak
meneliti semua populasinya saja
seharusnya memang semua populasi harus
diteliti Supaya hasil penelitiannya
akurat tapi kalau semua populasi nyamuk
diteliti maka waktu biaya dan tenaga
mungkin akan lebih besar dan bisa
membuat penelitian tidak bisa
diselesaikan bayangkan kalau populasinya
seluruh orang dalam satu kabupaten
Hai atau satu provinsi atau satu negara
pasti menelitinya juga akan sangat sulit
itulah mengapa harus ada sampel kalau
meneliti sedikit orang saja tapi
hasilnya bisa sama atau hampir sama
dengan meneliti seluruh populasi akan
mending meneliti sedikit saja kan kan
lebih murah lebih efektif lebih efisien
jadi masalahnya adalah bagaimana kita
meyakinkan memastikan agar meneliti
sampel Ini hasilnya sama atau hampir
sama dengan meneliti satu populasi yang
sulit itu kalau kita meneliti beberapa
orang saja sebagai sampel tapi hasilnya
tidak bisa digunakan untuk mewakili
populasi Nah agar hasilnya sama atau
hampir sama maka dikenallah istilah
teknik sampling atau teknik pengambilan
sampel teknik sampling yaitu cara
memilih siapa saja yang akan diambil
sebagai sampel
Hai dan berapa jumlahnya agar bisa
mewakili seluruh populasi jadi tidak
asal pilih sampai sesuai perasaan
peneliti saja Misalnya maunya 100 orang
atau 150 orang atau jumlah 1 liter air
20 lembar kertas dan sebagainya nah
mengenai teknik sampling yang digunakan
dalam penelitian kuantitatif bisa
teman-teman lihat pada video saya
selanjutnya semoga penjelasan ini
bermanfaat like share comment jika
berkenan jangan lupa subscribe yang
belum subscribe sampai jumpa
Assalamualaikum warahmatullahi
wabarakatuh
5.0 / 5 (0 votes)