SYSTEMATIC RANDOM SAMPLING

ANA PH
17 Sept 202108:02
EducationalLearning
32 Likes 10 Comments

TLDRThis video script introduces systematic sampling, a probability sampling method where every nth element from a population list is selected for the sample. It emphasizes the precision and ease of this method, akin to simple random sampling, with a key feature of selecting elements at regular intervals. An example is provided, demonstrating how to determine the interval and select respondents from a target population of 300 to achieve a sample size of 60. The process is further illustrated with a practical application involving high school students.

Takeaways
  • 📚 The script discusses probability sampling, specifically focusing on systematic sampling as presented by Dr. Amadeo Cristobal.
  • 🔢 Systematic sampling involves selecting every nth element from a population after determining the sample size.
  • 📈 The process starts with listing all elements of the population, which is then used to systematically choose elements at regular intervals.
  • 🎯 An example is given where a target population of 300 is divided by a desired sample size of 60, resulting in an interval of 5.
  • 🔹 The nth element (in this case, 5) is used to start the selection, and every 5th element thereafter is included in the sample.
  • 🌟 Systematic sampling is noted to be as precise as simple random sampling but with the added feature of a predictable pattern.
  • 📝 Another example is provided where a list of 1000 high school students is used, and every 10th student is selected for the sample.
  • 🎲 The use of a random number generator, such as strips of paper with numbers 0-9, is suggested for selecting the starting point in the sampling process.
  • 🎥 The video is part of a series on sampling methods, with a previous video discussing simple random sampling.
  • 👥 The target audience for this content appears to be researchers, students, or individuals interested in statistical sampling methods.
  • 📊 The script emphasizes the importance of understanding sampling techniques for accurate data collection and analysis.
  • 👋 The video ends with a call to action for viewers to join the next video in the series for further discussion on sampling methods.
Q & A

  • What is the main topic discussed in the video script?

    -The main topic discussed in the video script is systematic sampling, a method under probability sampling.

  • Who are the researchers mentioned in the script?

    -The researchers mentioned in the script are Dr. Amadeo Cristobal and Tanda and Ditos.

  • How is systematic sampling defined in the video script?

    -Systematic sampling is defined as a method of selecting every nth element of the population after the size of the sample has been determined.

  • What is the formula used to determine the nth element in systematic sampling?

    -The formula used to determine the nth element in systematic sampling is the total population size divided by the desired sample size.

  • Can you provide an example of how to calculate the sampling interval in systematic sampling?

    -For example, if you have a target population of 300 and a desired sample size of 60, you would divide 300 by 60 to get an interval of 5. Every 5th element in the population list would then be selected for the sample.

  • What is the purpose of listing all elements of the population in systematic sampling?

    -Listing all elements of the population in systematic sampling allows for a structured and systematic selection process, ensuring that each member of the population has an equal chance of being included in the sample.

  • How does systematic sampling differ from simple random sampling?

    -Systematic sampling differs from simple random sampling in that it involves selecting elements at a fixed interval after a random starting point, whereas simple random sampling does not follow a fixed pattern and each selection is independent.

  • What is the advantage of using systematic sampling over other probability sampling methods?

    -The advantage of systematic sampling is that it is precise and efficient, especially when dealing with large populations. It also reduces the potential for bias and simplifies the sampling process.

  • How does the video script illustrate the selection process in systematic sampling?

    -The video script illustrates the selection process by using an example where a list of the entire population is created, and then every nth element is selected according to the calculated interval.

  • What is the significance of the 'nth element' in systematic sampling?

    -The 'nth element' in systematic sampling is significant as it determines the regular interval at which elements are selected from the population list. This ensures a systematic and structured approach to sampling.

  • How can researchers ensure that their sampling method is representative of the population?

    -Researchers can ensure that their sampling method is representative by using probability sampling techniques like systematic sampling, which gives each member of the population an equal chance of being selected.

Outlines
00:00
📚 Introduction to Probability Sampling

This paragraph introduces the topic of probability sampling, specifically focusing on simple random sampling. It mentions a previous discussion about the basics of sampling and introduces the concept of systematic sampling as explained by Dr. Amadeo Cristobal. The paragraph explains that systematic sampling involves selecting every nth element from a population after determining the sample size. It provides an example with a target population of 300 and a sample size of 60, illustrating how the nth element is identified and how the sampling proceeds from there.

05:16
🎯 Conducting Systematic Sampling

This paragraph delves deeper into the methodology of systematic sampling. It describes the process of listing all elements of the target population, such as 1000 high school students, and then identifying the nth element using a predetermined interval. The example continues with the calculation of the interval and the selection of every fifth element from the list to form the sample. The paragraph emphasizes the precision and efficiency of systematic sampling as a method and concludes with a prompt for the audience to engage in the next video.

Mindmap
Keywords
💡Probability Sampling
Probability Sampling is a statistical method used to select a subset of a population for study where each member of the population has a known, non-zero chance of being included in the sample. In the context of the video, it is the overarching theme for discussing various sampling techniques, emphasizing the importance of random selection to obtain a representative sample for research purposes.
💡Simple Random Sampling
Simple Random Sampling is a method where every member of the population has an equal chance of being selected. It is mentioned in the script as a previously discussed topic and serves as a basis for comparison to the systematic sampling method being introduced. The video highlights that simple random sampling ensures each potential respondent has an equal opportunity to be part of the study, which is crucial for generalizing results back to the entire population.
💡Respondents
Respondents are individuals who participate in a survey or research study by providing answers to questions or tasks. In the video, the term is used to refer to the high school students who would be part of the target population for the sampling example. The selection of respondents is critical in research as it affects the validity and reliability of the findings.
💡Population
In research, the term 'Population' refers to the entire group of people or objects that a study is focused on. The script mentions a target population of 1000 high school students, which is the group from which the sample will be drawn. Understanding the population is essential for researchers as it defines the scope of the research and helps in making informed decisions about the sampling method.
💡Systematic Sampling
Systematic Sampling is a method where every nth element of the population is selected for the sample. The video explains this process by using an example where every 5th element from a list of 300 is chosen to form a sample of 60. This method is efficient and ensures a regular interval between the selected respondents, making it a useful technique for large populations.
💡Sample Size
Sample Size refers to the number of individuals or observations in the sample. In the video, the target sample size is mentioned as 60. Determining the appropriate sample size is crucial for researchers as it affects the precision of the results and the resources required for data collection. A larger sample size generally leads to more reliable findings but may also increase the cost and time of the study.
💡Interval
Interval, in the context of systematic sampling, refers to the distance between each selected member of the sample. The script provides an example where an interval of 5 is used, meaning every 5th individual from the population list is selected. The interval is a critical component of systematic sampling as it determines the regularity and representativeness of the sample.
💡List
In the context of the video, listing refers to the process of creating a comprehensive list of all elements in the population. This list is used as a basis for selecting the sample through systematic sampling. The script mentions listing all high school students and then selecting every nth element from this list. The list is a fundamental tool in systematic sampling as it ensures that the selection process is systematic and organized.
💡Research
Research, as discussed in the video, involves the systematic investigation and study of a specific topic to discover new information or test existing theories. The script refers to the research being conducted by schoolers researchers, highlighting the importance of understanding sampling methods in the research process. Effective research methodology, including appropriate sampling techniques, is crucial for obtaining valid and reliable results.
💡Generalization
Generalization in research refers to the process of applying the findings from a sample to the larger population. The video emphasizes the importance of using representative samples, such as those obtained through probability sampling methods, to ensure that the results can be generalized. The goal is to make accurate conclusions about the population based on the sample data.
💡Validity
Validity in research refers to the extent to which a study measures what it intends to measure. The video discusses the importance of using proper sampling techniques like systematic sampling to ensure the validity of the research findings. A valid sample selection process increases the confidence that the results accurately reflect the population's characteristics.
Highlights

Introduction to probability sampling and its importance in research

Discussion on simple random sampling from the previous video

Definition of systematic sampling as per Dr. Amadeo Cristobal's book

Explanation of how to determine the size of the sample for systematic sampling

Process of selecting every nth element from the population list

Comparison of systematic sampling to simple random sampling in terms of precision

Illustrative example of systematic sampling with a population of 300

Formula for calculating the interval for systematic sampling

Selection of respondents from the list using the determined interval

Mention of the target sample size and its role in systematic sampling

Practical application of systematic sampling with high school students

Use of random numbers for the initial selection in systematic sampling

Instructions for the next steps in conducting systematic sampling

Conclusion and transition to the next video with a call to action

Transcripts

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