Abion, John Cavier 12-Humss B Picking the right people for my study was tricky. I needed enough people to get good results, but not too many to handle. I thought about different ways to choose them, making sure I got a mix of everyone. My choice wasn't perfect, but it was the best way to get useful answers. This showed me how important it is to plan carefully when picking people for a study.
After I watched the video, I learned that population and sampling are essential concepts in research, allowing researchers to draw meaningful conclusions without having to study an entire population. The video highlighted how a sample should represent the population, with different methods such as probability and non-probability sampling offering different strengths. In mixed research, combining both qualitative and quantitative sampling methods helps gain a more thorough understanding of the research problem. This process emphasized how selecting the right sample size and method can greatly influence the accuracy and validity of the research findings. ANGELINE TORRES 12-HUMSS C
Ana Magdaline Mendoza 12-Humss B It sounds like your knowledge of statistics and probability from grade 11 is coming in handy in your III class! You're applying those concepts to your work, like when you explained the difference between population and sampling and even used different sampling techniques in your activity. That's great! It shows how those foundational skills are useful in real-world situations.
Castañas, Dianna Mae 12- ABM (B) After watching the video, I learned that in research and statistics, population and sampling are fundamental concepts used to collect and analyze data effectively. Sampling is a important aspect of statistics, as it allows researchers to gather insights about a larger population by studying a smaller, representative subset. It greatly impacts the effectiveness of research in many ways.
Tumapon Erwil S. 12-Humss B I gained knowledge of the complexities of sampling in mixed methods research, encompassing concurrent, sequential, stratified purposeful, embedded, and multi-stage sampling, along with more specialized techniques like extreme case, maximum variation, homogeneous, theoretical, critical case, opportunistic, nested, intensity, transformative, and quota sampling.
After watching the video, I learnedIn mixed research, population refers to the entire group of individuals or units that the research aims to study, while "sampling" involves selecting a smaller subset of that population to collect data from, where the chosen sample should ideally represent the broader population characteristics, allowing researchers to draw inferences about the whole group; in mixed methods, this often means carefully considering how to select samples for both the qualitative and quantitative phases of the study, potentially using different sampling techniques depending on the data needed from each phase.
Torres, Alice A. 12 HUMSS B REFLECTION: Upon watching the video, I learned and realized that in mixed research, carefully selecting the right population and sampling methods is the key to ensuring the study's findings are relevant and accurate. This video helped me also understand that both qualitative and quantitative sampling techniques need to be thoughtfully combined in order to get the best results.
12 HUMSS C after watching this video I learned that population and sampling in mixed methods research necessitate a thoughtful and strategic approach. Researchers must carefully consider the alignment between the research questions, the chosen populations, and the sampling methods employed in both quantitative and qualitative phases.
Carla Jane L. Casiano 12- HUMSS D I gained knowledge of a variety of sample methods and their uses, such as judgmental, snowball, cluster, stratified, systematic, and convenient sampling.This showed me how important it is to plan carefully when picking people for a study.I thought about different ways to choose them, making sure I got a mix of everyone.
Agudo Angel C. 12-HUMSS C. I learned that In mixed research, the population refers to the group of people or subjects.The interplay between quantitative and qualitative samples, the choice of sampling strategies, and sample size considerations all significantly impact the validity and generalizability of the findings.There are also different sampling methods to make accurate conclusions and ensure that the results are correct.
Franchesca D. Lagsa 12-HUMSS D After I watched the video, I learned that population and sampling are essential concepts in research, it represent the population, with different methods such as probability and non-probability sampling offering different strengths, these techniques, including concurrent, stratified, and sequential sampling, it provides a clear and concise explanation regarding population and sampling.
Velasco, Rayzelyn F. 12 - ABM B After watching the video, I learned that population and sampling decisions in mixed methods research are complex and require careful planning and justification. The interplay between quantitative and qualitative samples, the choice of sampling strategies, and sample size considerations all significantly impact the validity and generalizability of the findings. A clear understanding of these issues is crucial for conducting rigorous and meaningful mixed methods research.
Barillo, Jonard Keth A. 12-Abm B Based on the video i watch i learned that samplings plays a crucial role in research by reducing costs in time allowing researchers to study population that are to large. And also a probability sampling is every individual in the population has known nonzero chance of being selected and non probability is not every individual has a chance of being selected.
The video emphasizes the role of vulnerability in building meaningful connections with others. When we are willing to be vulnerable, we open ourselves up to deeper intimacy and understanding. This creates a space for true connection, where we can share our experiences, support each other, and build genuine relationships. Brown's message reminds us that vulnerability is not a sign of weakness, but rather a strength that allows us to connect with others on a deeper level. In a world often characterized by superficial interactions, this message is a powerful call to embrace vulnerability as a means of fostering authentic connections. Clarence S. Cañonero 12-Humss D
John Paul Basul 12-Humss B Reflection : In this video made me realize that Mixed methods research presents unique challenges in population and sampling. Quantitative components often demand large, representative samples for generalizability, while qualitative components may utilize smaller, purposive samples for rich data. The key lies in strategically integrating these approaches, perhaps through multi-stage sampling, to balance breadth and depth. Transparency in defining populations and justifying sampling methods is crucial for ensuring the rigor and credibility of the research.
I learned in this video, are about population and sampling, population is set of entities of being study and while sample is group of people of being study. Population and sampling because this allows research to collect data from smaller group of individuals. Lastly, by choosing sampling it's to know the appropriate sampling in our study to ensure it's reliability and credibility.
Mesia, Stephanie F. 12 ABM-B The video highlighted the critical role of thoughtful planning in mixed methods research, particularly regarding population and sampling. Choosing the right samples for both quantitative and qualitative data, and determining appropriate sample sizes, are essential for ensuring the study's conclusions are both credible and applicable to a wider population.
Deniega, Nicole Jane D. 12 - HUMSS A I learned that the concepts of population and sampling are crucial in research for effectively collecting and analyzing data. The population represents the entire group of interest, while sampling allows researchers to study a manageable subset, ensuring that findings can be generalized. I understand that various sampling techniques, such as probability and non-probability sampling, significantly impact the validity of research outcomes. Choosing the right method depends on the study’s goals and the characteristics of the population. I realized that mixed methods, which combine qualitative and quantitative approaches, enhance the richness of data analysis. The careful selection of sampling techniques is foundational for achieving credible research findings.
In the video presentation it highlights how a sample should represent the population, using various methods (probability and non-probability sampling). Combining qualitative and quantitative sampling methods leads to a more thorough understanding.
In this video made me realize that Mixed methods research presents unique challenges in population and sampling. Quantitative components often demand large, representative samples for generalizability, while qualitative components may utilize smaller, purposive samples for rich data. The key lies in strategically integrating these approaches, perhaps through multi-stage sampling, to balance breadth and depth. Transparency in defining populations and justifying sampling methods is crucial for ensuring the rigor and credibility of the research. Honey Mae Burac 12-tourism A
This lesson covered the concepts of population and sampling, which are critical components of research design. I learned that understanding the population and sampling process is essential for ensuring the validity and generalizability of research findings. By selecting a representative sample from the population, researchers can increase the accuracy and reliability of their results, as well as make informed decisions about the applicability of their findings to other contexts. Haejin A. Pahulayan 12- Tourism A
Jade Margarett Edralin 12 - HUMSS A I learned that both population and sampling method are essential in order to gather accurate and reliable results. I understand that by studying sample, the researchers can estimate the populate that would lead to a good result for the study. I realized that we should used a good analysis and critical thinking when choosing the best sampling method for our study.
I discovered that sampling and population in mixed research guarantee representative and varied data, enabling both deep and wide insights to support accurate and trustworthy conclusions. The procedure aids in the collection of data that is pertinent to the study issue and generalizable. Sampling guarantees that both quantitative and qualitative elements are adequately represented. Finally, it reinforces the general findings of the research. Trenchera, Christian Luis L. 12-Humss A
Brent P. Ongsiako 12 - Humss C I learned how population and sampling shape research. It showed me that choosing the right sample is crucial to reflect the bigger picture accurately. I also realized how combining methods, like qualitative and quantitative, helps uncover deeper insights. It taught me the importance of balance and thoughtfulness in research to make it meaningful and reliable.
Albea, Rachel Ann Q. 12-HumSS C I learned that the different sampling for it's population in mixed research. Statistics population and sampling are fundamental concepts used to collect and analyze data effectively so-called the population refers to the entire group of individuals objects or events that you are interested in studying or drawing conclusions. I also learned the difference between non-probability and probability sampling.
Clarisse L. Rodriguez 12 - tourism A I learned that In mixed research, the population refers to the group of people or subjects the study focuses on. Sampling is the process of selecting a smaller group from the population to represent it. Mixed research uses both qualitative and quantitative sampling methods to gather detailed and diverse data. This approach ensures that the sample reflects the population accurately while also capturing specific experiences and perspectives, making the study more reliable and meaningful.
I learned that, In mixed research it requires to be careful when selecting a sampling techniques and must align to both qualitative and quantitative methods. Population and Sampling would help us collect and analyze data accurately.
ROBERTO A. MANUEL ||| 12-ABM B The video explains the fundamental concepts of population and sampling in research and statistics, detailing the types of populations researchers may study and the different sampling methods used to select representative samples. It explores probability and non-probability sampling techniques, the importance of sample size, and introduces various mixed methods approaches for collecting qualitative and quantitative data.
After watching the video, I learned that population and sampling decisions in mixed methods research are complex and require careful planning and justification. The interplay between quantitative and qualitative samples, the choice of sampling strategies, and sample size considerations all significantly impact the validity and generalizability of the findings. A clear understanding of these issues is crucial for conducting rigorous and meaningful mixed methods research.
Lois Jean G. Dela Rapa 12 - HUMSS A i learned that different sampling techniques are used depending on the research goals and population. i realized how important it is to choose the right method to ensure accurate and reliable results. i understand that these techniques, like concurrent, stratified, and sequential sampling, play a key role in gathering meaningful data effectively.
Bellie Joe A Jalos 12-HumSS C I grasped that population and sampling are fundamental concepts in research, crucial for ensuring ethical, efficient, and manageable data collection. Moreover, these concepts play a significant role in shaping research findings and contributing to the development of theoretical frameworks.
In mixed research, population and sampling are critical as they bridge the quantitative and qualitative phases. A well-defined population provides the foundation for sampling strategies that balance probability and non-probability techniques. Effective sampling enables researchers to merge numerical data with in-depth insights, fostering a comprehensive understanding of the research phenomenon.
Leonud, Jay-Ann B. 12-HUMSS A I learned that population and sampling are essential in research for collecting data effectively without studying every individual. I realized that choosing the right sampling method, like probability for fairness or non-probability for practicality, ensures accurate results. I understand that mixed methods research combines qualitative and quantitative approaches, using strategies like stratified or sequential sampling to balance depth and generalizability. Proper sampling saves time, reduces costs, and improves the study's reliability.
Jhon Jerson Fornoles 12:HUMSS.C using a "population" and "sampling" in research is that it allows me to gather data from a smaller, manageable subset (the sample) to make inferences and draw conclusions about a larger group (the population), which is often too large to study entirely, thus saving time, cost, and resources while still gaining valuable insights about the whole group.
Marianne L. Guion 12 - ABM B I learned that population sampling is crucial in research. Careful consideration of sampling methods is essential to minimize bias and ensure the generalizability of research findings. The chosen sampling technique also significantly impacts the validity and reliability of the study's conclusions.
Glen V. Alegre 12-Humss D This video covers the fundamental concepts of population and sampling in research and statistics. It explains the definitions of population and sample, different types of sampling techniques, and their relevance in mixed research integrating both qualitative and quantitative methods. The video emphasizes the importance of choosing appropriate sampling methods to achieve accurate and generalizable results, and illustrates common sampling methods with practical examples.
Qianne Shane Ganzali Estomata 12-HUMSS D This video explains how to choose the right people to study in research. It talks about the difference between the whole group you want to learn about or the population and the smaller group you actually study or the sample. It also explains different ways to choose samples, like probability sampling where everyone has a chance of being picked, and non-probability sampling where some people are more likely to be chosen.
Jhasmien Rose A. Fermilan 12-tourism-A The video explains how to use population and sampling. It also provides information about the types of sampling, such as non-probability and probability. These are the two types of sampling. There are also types under non-probability, such as purposive sampling and snowball sampling. Under probability sampling, there are simple random sampling and stratified random sampling. It also provides information on what methodology to use in mixed research, such as concurrent sampling and sequential sampling. This is what I learned from the video.
Castro 12-humss A I learned that sampling and population statistics are essential concept for efficiently gathering and analysis data. I also learned that careful approach enhance the validity and relibility
Malto, Lory Jane F. 12-tourism A I learned that population and sampling decisions in mixed methods research are complex and require careful planning and justification. The interplay between quantitative and qualitative samples, the choice of sampling strategies, and sample size considerations all significantly impact the validity and generalizability of the findings. A clear understanding of these issues is crucial for conducting rigorous and meaningful mixed methods research.
Katrina Danielle U. Flores 12-Humss B By watching this video, I learned that sampling is important in research. It allows researchers to gather data without needing to study the whole population. There are also different sampling methods to make accurate conclusions and ensure that the results are correct.
Bernal, Rhiane Loraine M. 12- HUMSS C In a mixed research study, which combines both qualitative and quantitative methods, the population and sampling strategies. The population refers to the entire group that the study aims to understand. Sampling stategy Reflecting on the sampling strategy involves assessing how well it fits both research approaches.
Roxas Richel A. 12-Tourism A Understanding population and sampling is crucial for mixed research. By carefully selecting the appropriate sampling methods and ensuring that the sample is representative of the population, researchers can gather meaningful and generalizable data. The choice of sampling method should align with the research objectives, the characteristics of the population, and the available resources
Dualos, Lyka Mae 12- HUMSS A I learned that population and sampling are fundamental concepts used to collect and analyze data effectively. The population refers to the entire group of individuals, objects, or events that you are interested in studying or drawing conclusions about. I realized that understanding population and sampling is crucial for conducting meaningful research and drawing accurate conclusions about the world around us. I understand that choosing the right sampling method is essential for getting a representative sample. This means carefully considering the characteristics of the population and selecting a sample that accurately reflects those characteristics.
Arthur J Consulta 12-HUMSS C Population and sampling are crucial in research for drawing conclusions efficiently, with samples needing to represent the population accurately. Combining probability and non-probability methods in mixed research enhances the validity and depth of findings by balancing quantitative and qualitative approaches.
Cadiong John Mark P 12-Humss C I discovered after watching the video that mixed methods research involves complicated population and sampling considerations that need rigorous preparation and rationale. The findings' validity and generalizability are greatly impacted by the interaction of quantitative and qualitative samples, sampling strategy selection, and sample size concerns. To perform rigorous and significant mixed methods research, a thorough understanding of these difficulties is essential.
LEYVA JR. JAIME F. 12 HUMSS C After watching this video I learned that in Mixed methods research offers a powerful and versatile approach to conducting rigorous and insightful research. By carefully considering the research question, selecting appropriate sampling strategies, and effectively integrating qualitative and quantitative data, researchers can gain a deeper and more nuanced understanding of complex phenomena.
Serwelas, Kirby E. 12-HUMSS B I have learned that choosing the right sampling method can make research more reliable and efficient. Techniques like random sampling ensure fairness, while methods like convenience sampling are easier but may not always give the best results. I realize that proper sampling is key to getting meaningful conclusions in any study. This knowledge will help me in future research by making better decisions on how to collect data.
Ellaijha S. Santos 12- HUMSS A Reflection: From the video that I've watched, it explains that the population is the entire group of individuals, objects, or events that you are interested in studying. The sample is a subset of the population that is selected for the study. also it explains the different types of sampling, including probability sampling and non-probability sampling. The video is helpful for students like me who are learning about research methods. It provides a clear and concise explanation of population and sampling. Also it provides examples of how to use different sampling methods.
Carrera, Calinda Margaret D. 12 ABM - B After viewing the video, I have learned that population and sampling methods emphasize the necessity of thoughtfully choosing a representative sample of a population to guarantee precise, dependable, and generalizable research results.
Airene Mae Alapar 12 HUMSS B Particularly in mixed methods research, the important aspects of population and sampling are vital in ensuring sufficiency of results. When seen from the perspective of research, the population is defined as the entire set of interest, while sampling defines the understanding of a subset from this entire set. According to mixed research, measurement of social phenomena is through qualitative and quantitative approaches, purposive sampling for in-depth understanding, and random sampling for generalization of findings. Thorough consideration and balance will perfect the study.
Garcia, Antonette Espiritu. 12-Humss B After watching this video I understand that population and sampling are essential concepts in research, it ensuring the ethical and manageable data collection. It also has a contribution to the development of theory.
Barcelon, Shammel Faye D. 12-Tourism A I learned that population and sampling in mixed research ensure the data is representative and diverse. It allows for both broad and deep insights, supporting valid and reliable findings. The process helps gather data that is generalizable and relevant to the research question. Sampling ensures both quantitative and qualitative aspects are well-represented. Lastly, it strengthens the overall conclusions drawn from the study.
Magalona, Kristine Cassandra B. 12-Abm-B I've learned that mixed research provides powerful benefits by letting us see broad issues while uncovering detailed results in our research studies. Researchers can see all aspects of their research topic better when they merge qualitative and quantitative research methods. Through qualitative research methods readers gain true details about what people feel and think about real life events. By using statistical analysis to measure data researchers achieve precise objective results. Studies that mix research methods show clear advantages when one method alone would miss important research data. The combination of both data types lets us understand how specific patterns worked out and demonstrates how specific themes match results from different study methods. Putting different methods together lets us trust our results more and get a complete picture of the facts.
Navarrosa, Renren Denver G. 12 HUMSS- D I learned that the fundamental concepts of population and sampling in research and statistics. It explains the definitions of population and sample, different types of sampling techniques, and their relevance in mixed research integrating both qualitative and quantitative methods. The video emphasizes the importance of choosing appropriate sampling methods to achieve accurate and generalizable results, and illustrates common sampling methods with practical examples.
Jhomarie R. Delica 12 Humss B Reflection: After watch the video, I learned that researchers often study a smaller group called a sample to understand a larger group called the population. There are many methods to choose this sample, each with its own strengths and weaknesses. For example, some methods randomly select people, while others sampling intentionally choose people with specific characteristics. When combining different research methods (like surveys and interviews), special sampling techniques are used to ensure the better results.
Reynel R. Divinaflor 12- humss b after watching the video i learned yhe sampling techniques highlights the important of carefull selecting of a population to ensure accurate, reliable, and generalizable research findings.
Jenny Rose Zapanta, 12-HUMSS C I learned about the fundamental concepts of population and sampling in research, including the different types of probability and non-probability sampling methods. I gained an understanding of how these methods are applied in various research designs, particularly within mixed-methods approaches that combine qualitative and quantitative data collection. Furthermore, I explored specific sampling techniques like stratified purposeful sampling, embedded sampling, multi-stage sampling, and others, broadening your knowledge of how to select participants effectively for diverse research goals.
Lorio Honnylou V. 12-Humss B I learned from the video that population and sampling are essential concepts in research, it ensuring the ethical and data collection. Researcher can increase the accuracy and reliability of their results.
Cabanting, Aldrian Lance B. 12-Humss A I learned that population and sampling is crucial because it used to collect data effectively and also i learned population refers to the entire group of individuals I understand that there has many type of sampling like non probability, probability sampling,Stratified, Systematic, Cluster,and there are many more. I realized that population and sampling is very important to us because it can help to researchers in the numbers of respondents and also the different type of sampling can be use in different ways.
Soriano, John Luichi V. 12- Abm B I have learned that selecting an appropriate sampling method is crucial for the validity and reliability of research findings, requiring careful consideration of the research question, population characteristics, and available resources. The diverse range of probability and non-probability sampling techniques, along with mixed methods approaches, allows researchers to tailor their sampling strategy to the specific needs of their study. Understanding these techniques is essential for conducting rigorous and ethical research.
Sulit, Mikaella Mae F. 12 - HUMSS A I learned that population and sampling in mixed research involve selecting participants that represent the entire group being studied, using both qualitative and quantitative methods to gather comprehensive data. I realized that combining sampling strategies allows for a more holistic understanding of a research problem, ensuring that different perspectives are captured while maintaining accuracy and relevance. I understand that careful consideration of the population, sampling techniques, and sample size is crucial in mixed research to achieve reliable, valid, and meaningful results that address the study's objectives.
Orpiana, Althea Mae P. 12-HUMSS C In mixed research, the population refers to the entire group of individuals or units relevant to the study, while sampling involves selecting a smaller, representative subset from that population. For the quantitative component, researchers typically use probabilistic sampling methods, such as random or stratified sampling, to ensure that the sample accurately reflects the larger population.
Loren, Shiloh Nouvel D 12 humss b I now have a much clearer understanding of population and sampling in research, particularly the distinctions between probability and non-probability sampling methods. I learned about various sampling techniques, including stratified, systematic, cluster, convenience, judgmental, and snowball sampling, and their respective applications.
Lanac, Pauline T. 12 Abm B After watching the video, I learned that sampling and population statistics are key to analyzing data in mixed methods research. The video also introduced different sampling techniques, like Stratified Purposeful Sampling dividing the population into subgroups and selecting participants purposefully from each.
Sarmiento Mark Dustin B. 12 Tourism A After watching this video I've learned that population and sampling are crucial components of mixed research. Researchers need to carefully consider the population, sampling method, sampling frame, and issues of representation, generalizability, and transferability to produce reliable and valid results. By doing so, researchers can gain a deeper understanding of complex research questions and produce findings that can be applied in real-world contexts.
Dylane C. Yaris 12-HUMSS D I have learned about the importance of selecting appropriate sampling techniques to ensure representative and valid data collection. I also learned how different sampling techniques can be integrated to address both qualitative and quantitative data needs. There are various mixed methods sampling designs, such as concurrent sampling, sequential sampling, stratified purposeful sampling, embedded sampling, and multi-stage sampling.
Escobedo, Nichaela M. 12 - HUMSS A In research and statistics, population and sampling are fundamental concepts used to collect and analyze data. I learned that population refers to the entire group of individuals. While sample is a subset of the population. I realized that mixed research integrates qualitative and quantitative methods, requiring careful selection of sampling techniques to align with both approaches.
Regnim Jaspher S. 12- HUMSS C I learned that Population and sampling are crucial for research as they enable efficient data collection and analysis. Population represents the entire group, while sampling ensures controllability. Various sampling approaches, including stratified, embedded, and concurrent methods, meet qualitative and quantitative methodologies in mixed methods research.
i learned that sampling is important in research because it allows researchers to gather data withour needing to study the entire population. Dela Cruz Cyrhine P. 12-Humss B
Repollo,Roden Mark E. 12 humss c Mixed method sampling combines both qualitative and quantitative approaches, allowing for a more comprehensive understanding of research questions by capturing a range of data types. It provides flexibility in addressing complex research problems, though it can be resource-intensive and challenging to integrate findings from different data sources.
Joever L. Galicia 12 - HumSSC I've learned that population and sampling are essential to research because they form the basis for efficient data collection and analysis. The entire group of interest is represented by the population. A sample is a chosen, smaller subset. By employing techniques like probability sample for generalizability or non-probability sampling for particular settings, sampling guarantees that the study is controllable. Stratified purposeful sampling, embedded sampling, concurrent or sequential sampling, and other sampling approaches are developed to meet the requirements of both qualitative and quantitative methodologies in mixed methods research. Researchers can handle complex research topics, investigate many viewpoints, and reach reliable results with the use of appropriate sampling.
Ken Joshua Valiente 12 - ABM B I learned that population and sampling are fundamental to collecting and analyzing data effectively, with the population representing the entire group of interest and the sample being a smaller, manageable subset. I realized the importance of selecting a representative sample to ensure valid and generalizable conclusions while considering the study's goals and constraints. I discovered that various sampling methods, such as probability and non-probability sampling, offer unique advantages depending on the research needs. Additionally, I understood how mixed-methods research integrates qualitative and quantitative approaches, using innovative sampling techniques to enhance depth and generalizability.
Marcelle jane P Morente 12 ABM B I learned that Mixed research uses both numbers (quantitative) and words (qualitative) to understand things. Choosing the right people to study (sampling) is important. For numbers, you might need a large, random group to get broad results. For words, you might choose a smaller group to get detailed information from interviews or focus groups. The key is to pick methods that work together to answer your research question.
Bayani Jonel P. 12-Humss B In this video made me realize that Mixed methods research presents unique challenges in population and sampling. Quantitative components often demand large, representative samples for generalizability, while qualitative components may utilize smaller, purposive samples for rich data. The key lies in strategically integrating these approaches, perhaps through multi-stage sampling, to balance breadth and depth. Transparency in defining populations and justifying sampling methods is crucial for ensuring the rigor and credibility of the research.
Rodny C Cabangbang 12 Humss B Reflection: I've studied this back in statistics and probability in grade 11 then all of this information I can use them on III and like the other day on recitation I answered the difference between population and sampling, different sampling techniques such as cluster and stratified I used them on my activity.
POSTRADO , APRIL JOY C. 12 - HUMSS - B I learned that appropriate population selection and sampling techniques are crucial for ensuring representative and diverse data in mixed methods research. I also learned that this careful approach enhances the validity and reliability of findings, enabling effective analysis of both quantitative and qualitative data.
Fernandez, Ralf Benedick V. 12 HUMSS-C I now understand population and sampling in research much better, especially the differences between non-probability and probability sampling techniques. I gained knowledge of a variety of sample methods and their uses, such as judgmental, snowball, cluster, stratified, systematic, and convenient sampling.
Celmar, Allyson P. 12- Toursim A Reflection: Based on the video I’ve watched “Population and Sampling for Mixed Research”. I learned that it is used to collect and analyze data effectively. there are two categories of sampling, In Probability sampling every individual in the population has non-zero chance of being selected making it more likely to produce a representative, While Non- Probability is selected based on non-random criteria due to convience or specific research needs.
DE GUZMAN,MA NICOLE A. 12 HUMSS D this research findings, illustrating the correlation between vulnerability and wholehearted living, were particularly compelling. The idea that embracing our imperfections and allowing ourselves to be seen, even when it feels risky, is the path to deeper connection and a more meaningful life, was both insightful and empowering. It challenged my tendency to hide my vulnerabilities, fearing judgment or rejection. this highlighted the crucial distinction between vulnerability and shame. the differenc vulnerability is about showing up and being seen, while shame is about feeling flawed and unworth was a pivotal moment in my understanding of my own emotional landscape.
Lianzon, Kenneth Louise V. 12- Humss A I learned the significance of appropriate sampling in mixed research, selecting the right sampling methods is crucial for the validity and generalizability of research findings, especially in mixed research where quantitative and qualitative data are combined. I understand the potential challenges and limitations of different sampling methods, the video highlighted the potential biases and limitations associated with different sampling techniques, emphasizing the need for careful consideration and justification of the chosen sampling approach. I realized the continuous evolution of sampling techniques in mixed research, the field of mixed research is constantly evolving, and researchers need to stay updated on the latest developments and best practices in sampling to conduct high-quality research.
Mary Joy Villones 12 -HUMSS D Population and sampling are crucial for data gathering and evaluation, as they represent the complete group of interest. Choosing a representative sample while considering study objectives and limitations ensures reliable results. Different sampling techniques, like probability and non-probability, offer different benefits. Mixed-methods research combines quantitative and qualitative methodologies, using creative sampling strategies for better generalizability and depth.
Santos, Joana Marie J 12- ABM B The video explains population and sampling in research, particularly in mixed methods, emphasizing the importance of selecting appropriate sampling methodologies and sample procedures based on the research issue and study goals.
Repaso,Jake Adam A. 12-HUMSS-C Population and sampling are essential in research and statistics, enabling effective data collection and analysis. The population represents the entire group of interest, while a sample is a manageable subset that reflects its characteristics. Sampling ensures cost-efficiency, feasibility, and ethical data collection. Probability sampling ensures representativeness, while non-probability sampling allows flexibility. Mixed methods research integrates qualitative and quantitative approaches, offering deeper insights and generalizability. Sampling strategies, such as stratified, sequential, and purposeful sampling, are tailored to research goals, ensuring valid conclusions. Overall, a well-designed sampling process bridges the gap between the study's objectives and practical data collection, enriching the research's accuracy and relevance.
Pangilinan, Ayesha Cassandra L. 12-HUMSS D I learned that population is the entire group being studied, and a sample is a smaller part of it used for research. Sampling makes research faster, cheaper, and easier. I understand that probability sampling gives everyone in the population a chance to be chosen, making results more accurate (e.g., random or stratified sampling). Non-probability sampling doesn’t guarantee this but works in certain situations (e.g., convenience or quota sampling). I realized that in mixed research, combining methods (e.g., surveys and interviews) helps get both detailed and broad data. Choosing the right sampling method is key to getting good results.
Bagalangit, Rogelyn T. 12-ABM B Population and sampling in mixed research ensure accurate and meaningful results by balancing representation and practicality. It highlights the importance of selecting a sample that reflects the population while combining quantitative and qualitative data for comprehensive insights. This process reinforces the value of careful planning and methodological.
Slash H. Patron XII-HUMSS B I learned that selecting an appropriate sample technique is essential for any research. With so many alternatives, each with unique advantages and disadvantages, it is easy to feel overwhelmed. As a student, I've discovered that knowing the academic definitions of each method is not nearly as crucial as comprehending its practical applications.
Macaraeg, May Shael Rose M. 12-Abm B I learned that to effectively conduct mixed research, it is important to understand population and sampling. It assures that the data collected will appropriately represent the group we want to study. Also, making the right sampling technique is essential to ensuring the validity, generalizability, and meaningfulness of the results.
I discovered that in mixed study, population and sampling are essential to guaranteeing that the data gathered is diverse and representative. This method yields accurate and trustworthy results by offering both comprehensive and in-depth information. The study can successfully cover both quantitative and qualitative components by employing appropriate sampling procedures. This procedure aids in making sure the information supports generalizable findings and is pertinent to the research subject. jovelyn f. lastiere 12-tourism A
Jhon Michael P. Cadiong 12-Humms A After watching this video I learned that mixed research facilitates the triangulation of data and validity of the study finding by integrating both qualitative and quantitative data.By using both method mixed research can provide more complete and nuanced understanding of research problem and the ability to answer both broad and specific research question while quantities data can provide generable insight ang qualitative data can offer a deefer, more detailed understanding of individual or group experience this combination can lead to more robust finding as the strengths of one methods compensate for the weaknesses of the other.
Samillano, Ace Chelle V. 12-ABM B I learned that researchers use sampling methods to select a representative subset of a population for study, allowing them to draw conclusions generalizable to the whole population. While probability and non-probability sampling are common, mixed methods combine their strengths for comprehensive data collection. This approach offers reliable insights, saves time and resources, and ensures data quality, ultimately leading to a deeper understanding of complex issues and meaningful findings.
Eugene Clark P Trijo 12-humssC After watching the video i have learned that population and sampling techniques highlights the importance of carefully selecting a representative subset of a population to ensure accurate, reliable, and generalizable research findings.
Infante, Nicole S. 12 - Tourism A In this video, I learned that population and sampling are essential concepts in research and statistics that are used to collect and analyze data effectively.
Peñamora, Mark Jomar 12 - HUMSS D This video hinglights the fundamental concept of population and sampling in research and statistics. It explain the definition of population and sampling and different techniques.
Acoba, Roxy Loraine B. 12 - Tourism A After watching this video, i learn that population and sampling technique is very important because its enables researchers to examine a smaller representative sample of a larger population, allowing researcher s to make valid conclusions and apply their findings to the entire group. This approach makes research more practical, affordable, and time-saving, while ensuring the results remain reliable and accurate.
Escobedo, Jhon Lloyd V. 12 - ABM B After watching the video, I learned that population and sampling are crucial for effective research. Choosing the right sampling method, like probability or purposive sampling, ensures data is representative and provides both depth and generalizability in studies.
Vallespin Christopher R. 12- Humss A I learned about population and sampling to gather comprehensive data by integrating the strengths of both type of methods to provides a more and nuanced understanding of a research problem
Jennifer Andes 12 HUMSS-A I learned that:In research and statistics, population and sampling are fundamental concepts used to collect and analyze data effectively.The population refers to the entire group of individuals, objects,or events that you are interested in studying or drawing conclusions about.Populations are defined based on the study's purpose and may be homogeneous (similar)or heterogeneous (diverse).
ESTROPEGAN, RODELYN F. 12-TOURISM A After watching the video, I learned that population and sampling decisions in mixed methods research are complex and require careful planning and justification. The interplay between quantitative and qualitative samples, the choice of sampling strategies, and sample size considerations all significantly impact the validity and generalizability of the findings. A clear understanding of these issues is crucial for conducting rigorous and meaningful mixed methods research.
Abion, John Cavier
12-Humss B
Picking the right people for my study was tricky. I needed enough people to get good results, but not too many to handle. I thought about different ways to choose them, making sure I got a mix of everyone. My choice wasn't perfect, but it was the best way to get useful answers. This showed me how important it is to plan carefully when picking people for a study.
After I watched the video, I learned that population and sampling are essential concepts in research, allowing researchers to draw meaningful conclusions without having to study an entire population. The video highlighted how a sample should represent the population, with different methods such as probability and non-probability sampling offering different strengths. In mixed research, combining both qualitative and quantitative sampling methods helps gain a more thorough understanding of the research problem. This process emphasized how selecting the right sample size and method can greatly influence the accuracy and validity of the research findings.
ANGELINE TORRES
12-HUMSS C
Ana Magdaline Mendoza
12-Humss B
It sounds like your knowledge of statistics and probability from grade 11 is coming in handy in your III class! You're applying those concepts to your work, like when you explained the difference between population and sampling and even used different sampling techniques in your activity. That's great! It shows how those foundational skills are useful in real-world situations.
Castañas, Dianna Mae
12- ABM (B)
After watching the video, I learned that in research and statistics, population and sampling are fundamental concepts used to collect and analyze data effectively. Sampling is a important aspect of statistics, as it allows researchers to gather insights about a larger population by studying a smaller, representative subset. It greatly impacts the effectiveness of research in many ways.
Tumapon Erwil S.
12-Humss B
I gained knowledge of the complexities of sampling in mixed methods research, encompassing concurrent, sequential, stratified purposeful, embedded, and multi-stage sampling, along with more specialized techniques like extreme case, maximum variation, homogeneous, theoretical, critical case, opportunistic, nested, intensity, transformative, and quota sampling.
After watching the video, I learnedIn mixed research, population refers to the entire group of individuals or units that the research aims to study, while "sampling" involves selecting a smaller subset of that population to collect data from, where the chosen sample should ideally represent the broader population characteristics, allowing researchers to draw inferences about the whole group; in mixed methods, this often means carefully considering how to select samples for both the qualitative and quantitative phases of the study, potentially using different sampling techniques depending on the data needed from each phase.
Torres, Alice A.
12 HUMSS B
REFLECTION:
Upon watching the video, I learned and realized that in mixed research, carefully selecting the right population and sampling methods is the key to ensuring the study's findings are relevant and accurate. This video helped me also understand that both qualitative and quantitative sampling techniques need to be thoughtfully combined in order to get the best results.
12 HUMSS C
after watching this video I learned that population and sampling in mixed methods research necessitate a thoughtful and strategic approach. Researchers must carefully consider the alignment between the research questions, the chosen populations, and the sampling methods employed in both quantitative and qualitative phases.
Carla Jane L. Casiano
12- HUMSS D
I gained knowledge of a variety of sample methods and their uses, such as judgmental, snowball, cluster, stratified, systematic, and convenient sampling.This showed me how important it is to plan carefully when picking people for a study.I thought about different ways to choose them, making sure I got a mix of everyone.
Agudo Angel C.
12-HUMSS C.
I learned that In mixed research, the population refers to the group of people or subjects.The interplay between quantitative and qualitative samples, the choice of sampling strategies, and sample size considerations all significantly impact the validity and generalizability of the findings.There are also different sampling methods to make accurate conclusions and ensure that the results are correct.
Franchesca D. Lagsa
12-HUMSS D
After I watched the video, I learned that population and sampling are essential concepts in research, it represent the population, with different methods such as probability and non-probability sampling offering different strengths, these techniques, including concurrent, stratified, and sequential sampling, it provides a clear and concise explanation regarding population and sampling.
Velasco, Rayzelyn F.
12 - ABM B
After watching the video, I learned that population and sampling decisions in mixed methods research are complex and require careful planning and justification. The interplay between quantitative and qualitative samples, the choice of sampling strategies, and sample size considerations all significantly impact the validity and generalizability of the findings. A clear understanding of these issues is crucial for conducting rigorous and meaningful mixed methods research.
Barillo, Jonard Keth A. 12-Abm B
Based on the video i watch i learned that samplings plays a crucial role in research by reducing costs in time allowing researchers to study population that are to large. And also a probability sampling is every individual in the population has known nonzero chance of being selected and non probability is not every individual has a chance of being selected.
The video emphasizes the role of vulnerability in building meaningful connections with others. When we are willing to be vulnerable, we open ourselves up to deeper intimacy and understanding. This creates a space for true connection, where we can share our experiences, support each other, and build genuine relationships. Brown's message reminds us that vulnerability is not a sign of weakness, but rather a strength that allows us to connect with others on a deeper level. In a world often characterized by superficial interactions, this message is a powerful call to embrace vulnerability as a means of fostering authentic connections.
Clarence S. Cañonero 12-Humss D
John Paul Basul
12-Humss B
Reflection :
In this video made me realize that Mixed methods research presents unique challenges in population and sampling. Quantitative components often demand large, representative samples for generalizability, while qualitative components may utilize smaller, purposive samples for rich data. The key lies in strategically integrating these approaches, perhaps through multi-stage sampling, to balance breadth and depth. Transparency in defining populations and justifying sampling methods is crucial for ensuring the rigor and credibility of the research.
I learned in this video, are about population and sampling, population is set of entities of being study and while sample is group of people of being study. Population and sampling because this allows research to collect data from smaller group of individuals. Lastly, by choosing sampling it's to know the appropriate sampling in our study to ensure it's reliability and credibility.
Mesia, Stephanie F.
12 ABM-B
The video highlighted the critical role of thoughtful planning in mixed methods research, particularly regarding population and sampling. Choosing the right samples for both quantitative and qualitative data, and determining appropriate sample sizes, are essential for ensuring the study's conclusions are both credible and applicable to a wider population.
Deniega, Nicole Jane D.
12 - HUMSS A
I learned that the concepts of population and sampling are crucial in research for effectively collecting and analyzing data. The population represents the entire group of interest, while sampling allows researchers to study a manageable subset, ensuring that findings can be generalized.
I understand that various sampling techniques, such as probability and non-probability sampling, significantly impact the validity of research outcomes. Choosing the right method depends on the study’s goals and the characteristics of the population.
I realized that mixed methods, which combine qualitative and quantitative approaches, enhance the richness of data analysis. The careful selection of sampling techniques is foundational for achieving credible research findings.
In the video presentation it highlights how a sample should represent the population, using various methods (probability and non-probability sampling). Combining qualitative and quantitative sampling methods leads to a more thorough understanding.
In this video made me realize that Mixed methods research presents unique challenges in population and sampling. Quantitative components often demand large, representative samples for generalizability, while qualitative components may utilize smaller, purposive samples for rich data. The key lies in strategically integrating these approaches, perhaps through multi-stage sampling, to balance breadth and depth. Transparency in defining populations and justifying sampling methods is crucial for ensuring the rigor and credibility of the research.
Honey Mae Burac
12-tourism A
This lesson covered the concepts of population and sampling, which are critical components of research design. I learned that understanding the population and sampling process is essential for ensuring the validity and generalizability of research findings. By selecting a representative sample from the population, researchers can increase the accuracy and reliability of their results, as well as make informed decisions about the applicability of their findings to other contexts.
Haejin A. Pahulayan
12- Tourism A
Jade Margarett Edralin
12 - HUMSS A
I learned that both population and sampling method are essential in order to gather accurate and reliable results.
I understand that by studying sample, the researchers can estimate the populate that would lead to a good result for the study.
I realized that we should used a good analysis and critical thinking when choosing the best sampling method for our study.
I discovered that sampling and population in mixed research guarantee representative and varied data, enabling both deep and wide insights to support accurate and trustworthy conclusions. The procedure aids in the collection of data that is pertinent to the study issue and generalizable. Sampling guarantees that both quantitative and qualitative elements are adequately represented. Finally, it reinforces the general findings of the research.
Trenchera, Christian Luis L.
12-Humss A
Brent P. Ongsiako
12 - Humss C
I learned how population and sampling shape research. It showed me that choosing the right sample is crucial to reflect the bigger picture accurately. I also realized how combining methods, like qualitative and quantitative, helps uncover deeper insights. It taught me the importance of balance and thoughtfulness in research to make it meaningful and reliable.
Albea, Rachel Ann Q.
12-HumSS C
I learned that the different sampling for it's population in mixed research. Statistics population
and sampling are fundamental concepts
used to collect and analyze data
effectively so-called the population refers to the
entire group of individuals objects or
events that you are interested in
studying or drawing conclusions. I also learned the difference between non-probability and probability sampling.
Clarisse L. Rodriguez
12 - tourism A
I learned that In mixed research, the population refers to the group of people or subjects the study focuses on. Sampling is the process of selecting a smaller group from the population to represent it. Mixed research uses both qualitative and quantitative sampling methods to gather detailed and diverse data. This approach ensures that the sample reflects the population accurately while also capturing specific experiences and perspectives, making the study more reliable and meaningful.
I learned that, In mixed research it requires to be careful when selecting a sampling techniques and must align to both qualitative and quantitative methods. Population and Sampling would help us collect and analyze data accurately.
ROBERTO A. MANUEL |||
12-ABM B
The video explains the fundamental concepts of population and sampling in research and statistics, detailing the types of populations researchers may study and the different sampling methods used to select representative samples. It explores probability and non-probability sampling techniques, the importance of sample size, and introduces various mixed methods approaches for collecting qualitative and quantitative data.
After watching the video, I learned that population and sampling decisions in mixed methods research are complex and require careful planning and justification. The interplay between quantitative and qualitative samples, the choice of sampling strategies, and sample size considerations all significantly impact the validity and generalizability of the findings. A clear understanding of these issues is crucial for conducting rigorous and meaningful mixed methods research.
Lois Jean G. Dela Rapa
12 - HUMSS A
i learned that different sampling techniques are used depending on the research goals and population.
i realized how important it is to choose the right method to ensure accurate and reliable results.
i understand that these techniques, like concurrent, stratified, and sequential sampling, play a key role in gathering meaningful data effectively.
Bellie Joe A Jalos 12-HumSS C
I grasped that population and sampling are fundamental concepts in research, crucial for ensuring ethical, efficient, and manageable data collection. Moreover, these concepts play a significant role in shaping research findings and contributing to the development of theoretical frameworks.
In mixed research, population and sampling are critical as they bridge the quantitative and qualitative phases. A well-defined population provides the foundation for sampling strategies that balance probability and non-probability techniques. Effective sampling enables researchers to merge numerical data with in-depth insights, fostering a comprehensive understanding of the research phenomenon.
Leonud, Jay-Ann B.
12-HUMSS A
I learned that population and sampling are essential in research for collecting data effectively without studying every individual.
I realized that choosing the right sampling method, like probability for fairness or non-probability for practicality, ensures accurate results.
I understand that mixed methods research combines qualitative and quantitative approaches, using strategies like stratified or sequential sampling to balance depth and generalizability. Proper sampling saves time, reduces costs, and improves the study's reliability.
Jhon Jerson Fornoles 12:HUMSS.C
using a "population" and "sampling" in research is that it allows me to gather data from a smaller, manageable subset (the sample) to make inferences and draw conclusions about a larger group (the population), which is often too large to study entirely, thus saving time, cost, and resources while still gaining valuable insights about the whole group.
Marianne L. Guion
12 - ABM B
I learned that population sampling is crucial in research. Careful consideration of sampling methods is essential to minimize bias and ensure the generalizability of research findings. The chosen sampling technique also significantly impacts the validity and reliability of the study's conclusions.
Glen V. Alegre
12-Humss D
This video covers the fundamental concepts of population and sampling in research and statistics. It explains the definitions of population and sample, different types of sampling techniques, and their relevance in mixed research integrating both qualitative and quantitative methods. The video emphasizes the importance of choosing appropriate sampling methods to achieve accurate and generalizable results, and illustrates common sampling methods with practical examples.
Qianne Shane Ganzali Estomata
12-HUMSS D
This video explains how to choose the right people to study in research. It talks about the difference between the whole group you want to learn about or the population and the smaller group you actually study or the sample. It also explains different ways to choose samples, like probability sampling where everyone has a chance of being picked, and non-probability sampling where some people are more likely to be chosen.
Jhasmien Rose A. Fermilan
12-tourism-A
The video explains how to use population and
sampling. It also provides information about the types of sampling, such as non-probability and probability. These are the two types of sampling. There are also types under non-probability, such as purposive sampling and snowball sampling. Under probability sampling, there are simple random sampling and stratified random sampling. It also provides information on what methodology to use in mixed research, such as concurrent sampling and sequential sampling. This is what I learned from the video.
Castro
12-humss A
I learned that sampling and population statistics are essential concept for efficiently gathering and analysis data. I also learned that careful approach enhance the validity and relibility
Malto, Lory Jane F.
12-tourism A
I learned that population and sampling decisions in mixed methods research are complex and require careful planning and justification. The interplay between quantitative and qualitative samples, the choice of sampling strategies, and sample size considerations all significantly impact the validity and generalizability of the findings. A clear understanding of these issues is crucial for conducting rigorous and meaningful mixed methods research.
Katrina Danielle U. Flores
12-Humss B
By watching this video, I learned that sampling is important in research. It allows researchers to gather data without needing to study the whole population. There are also different sampling methods to make accurate conclusions and ensure that the results are correct.
After watching the video i learn all about more the population and more
Bernal, Rhiane Loraine M.
12- HUMSS C
In a mixed research study, which combines both qualitative and quantitative methods, the population and sampling strategies. The population refers to the entire group that the study aims to understand. Sampling stategy Reflecting on the sampling strategy involves assessing how well it fits both research approaches.
Roxas Richel A.
12-Tourism A
Understanding population and sampling is
crucial for mixed research. By carefully selecting the appropriate sampling methods and ensuring that the sample is representative of the population, researchers can gather meaningful and generalizable data. The choice of sampling method should align with the research objectives, the characteristics of the population, and the available resources
Dualos, Lyka Mae
12- HUMSS A
I learned that population and sampling are fundamental concepts used to collect and analyze data effectively. The population refers to the entire group of individuals, objects, or events that you are interested in studying or drawing conclusions about.
I realized that understanding population and sampling is crucial for conducting meaningful research and drawing accurate conclusions about the world around us.
I understand that choosing the right sampling method is essential for getting a representative sample. This means carefully considering the characteristics of the population and selecting a sample that accurately reflects those characteristics.
Arthur J Consulta 12-HUMSS C
Population and sampling are crucial in research for drawing conclusions efficiently, with samples needing to represent the population accurately. Combining probability and non-probability methods in mixed research enhances the validity and depth of findings by balancing quantitative and qualitative approaches.
Cadiong John Mark P
12-Humss C
I discovered after watching the video that mixed methods research involves complicated population and sampling considerations that need rigorous preparation and rationale. The findings' validity and generalizability are greatly impacted by the interaction of quantitative and qualitative samples, sampling strategy selection, and sample size concerns. To perform rigorous and significant mixed methods research, a thorough understanding of these difficulties is essential.
LEYVA JR. JAIME F.
12 HUMSS C
After watching this video I learned that in Mixed methods research offers a powerful and versatile approach to conducting rigorous and insightful research. By carefully considering the research question, selecting appropriate sampling strategies, and effectively integrating qualitative and quantitative data, researchers can gain a deeper and more nuanced understanding of complex phenomena.
Serwelas, Kirby E.
12-HUMSS B
I have learned that choosing the right sampling method can make research more reliable and efficient. Techniques like random sampling ensure fairness, while methods like convenience sampling are easier but may not always give the best results. I realize that proper sampling is key to getting meaningful conclusions in any study. This knowledge will help me in future research by making better decisions on how to collect data.
Ellaijha S. Santos
12- HUMSS A
Reflection:
From the video that I've watched, it explains that the population is the entire group of individuals, objects, or events that you are interested in studying. The sample is a subset of the population that is selected for the study. also it explains the different types of sampling, including probability sampling and non-probability sampling.
The video is helpful for students like me who are learning about research methods. It provides a clear and concise explanation of population and sampling. Also it provides examples of how to use different sampling methods.
Carrera, Calinda Margaret D.
12 ABM - B
After viewing the video, I have learned that population and sampling methods emphasize the necessity of thoughtfully choosing a representative sample of a population to guarantee precise, dependable, and generalizable research results.
Airene Mae Alapar
12 HUMSS B
Particularly in mixed methods research, the important aspects of population and sampling are vital in ensuring sufficiency of results. When seen from the perspective of research, the population is defined as the entire set of interest, while sampling defines the understanding of a subset from this entire set. According to mixed research, measurement of social phenomena is through qualitative and quantitative approaches, purposive sampling for in-depth understanding, and random sampling for generalization of findings. Thorough consideration and balance will perfect the study.
Garcia, Antonette Espiritu.
12-Humss B
After watching this video I understand that population and sampling are essential concepts in research, it ensuring the ethical and manageable data collection. It also has a contribution to the development of theory.
Barcelon, Shammel Faye D.
12-Tourism A
I learned that population and sampling in mixed research ensure the data is representative and diverse. It allows for both broad and deep insights, supporting valid and reliable findings. The process helps gather data that is generalizable and relevant to the research question. Sampling ensures both quantitative and qualitative aspects are well-represented. Lastly, it strengthens the overall conclusions drawn from the study.
Magalona, Kristine Cassandra B.
12-Abm-B
I've learned that mixed research provides powerful benefits by letting us see broad issues while uncovering detailed results in our research studies. Researchers can see all aspects of their research topic better when they merge qualitative and quantitative research methods. Through qualitative research methods readers gain true details about what people feel and think about real life events. By using statistical analysis to measure data researchers achieve precise objective results.
Studies that mix research methods show clear advantages when one method alone would miss important research data. The combination of both data types lets us understand how specific patterns worked out and demonstrates how specific themes match results from different study methods. Putting different methods together lets us trust our results more and get a complete picture of the facts.
Navarrosa, Renren Denver G.
12 HUMSS- D
I learned that the fundamental concepts of population and sampling in research and statistics. It explains the definitions of population and sample, different types of sampling techniques, and their relevance in mixed research integrating both qualitative and quantitative methods. The video emphasizes the importance of choosing appropriate sampling methods to achieve accurate and generalizable results, and illustrates common sampling methods with practical examples.
Jhomarie R. Delica 12 Humss B
Reflection:
After watch the video, I learned that researchers often study a smaller group called a sample to understand a larger group called the population. There are many methods to choose this sample, each with its own strengths and weaknesses. For example, some methods randomly select people, while others sampling intentionally choose people with specific characteristics. When combining different research methods (like surveys and interviews), special sampling techniques are used to ensure the better results.
Reynel R. Divinaflor
12- humss b
after watching the video i learned yhe sampling techniques highlights the important of carefull selecting of a population to ensure accurate, reliable, and generalizable research findings.
Jenny Rose Zapanta, 12-HUMSS C
I learned about the fundamental concepts of population and sampling in research, including the different types of probability and non-probability sampling methods. I gained an understanding of how these methods are applied in various research designs, particularly within mixed-methods approaches that combine qualitative and quantitative data collection. Furthermore, I explored specific sampling techniques like stratified purposeful sampling, embedded sampling, multi-stage sampling, and others, broadening your knowledge of how to select participants effectively for diverse research goals.
Lorio Honnylou V.
12-Humss B
I learned from the video that population and sampling are essential concepts in research, it ensuring the ethical and data collection. Researcher can increase the accuracy and reliability of their results.
Cabanting, Aldrian Lance B.
12-Humss A
I learned that population and sampling is crucial because it used to collect data effectively and also i learned population refers to the entire group of individuals
I understand that there has many type of sampling like non probability, probability sampling,Stratified, Systematic, Cluster,and there are many more.
I realized that population and sampling is very important to us because it can help to researchers in the numbers of respondents and also the different type of sampling can be use in different ways.
Soriano, John Luichi V.
12- Abm B
I have learned that selecting an appropriate sampling method is crucial for the validity and reliability of research findings, requiring careful consideration of the research question, population characteristics, and available resources. The diverse range of probability and non-probability sampling techniques, along with mixed methods approaches, allows researchers to tailor their sampling strategy to the specific needs of their study. Understanding these techniques is essential for conducting rigorous and ethical research.
Sulit, Mikaella Mae F.
12 - HUMSS A
I learned that population and sampling in mixed research involve selecting participants that represent the entire group being studied, using both qualitative and quantitative methods to gather comprehensive data.
I realized that combining sampling strategies allows for a more holistic understanding of a research problem, ensuring that different perspectives are captured while maintaining accuracy and relevance.
I understand that careful consideration of the population, sampling techniques, and sample size is crucial in mixed research to achieve reliable, valid, and meaningful results that address the study's objectives.
Orpiana, Althea Mae P.
12-HUMSS C
In mixed research, the population refers to the entire group of individuals or units relevant to the study, while sampling involves selecting a smaller, representative subset from that population. For the quantitative component, researchers typically use probabilistic sampling methods, such as random or stratified sampling, to ensure that the sample accurately reflects the larger population.
Loren, Shiloh Nouvel D
12 humss b
I now have a much clearer understanding of population and sampling in research, particularly the distinctions between probability and non-probability sampling methods. I learned about various sampling techniques, including stratified, systematic, cluster, convenience, judgmental, and snowball sampling, and their respective applications.
Lanac, Pauline T.
12 Abm B
After watching the video, I learned that sampling and population statistics are key to analyzing data in mixed methods research. The video also introduced different sampling techniques, like Stratified Purposeful Sampling
dividing the population into subgroups and selecting participants purposefully from each.
Sarmiento Mark Dustin B.
12 Tourism A
After watching this video I've learned that population and sampling are crucial components of mixed research. Researchers need to carefully consider the population, sampling method, sampling frame, and issues of representation, generalizability, and transferability to produce reliable and valid results. By doing so, researchers can gain a deeper understanding of complex research questions and produce findings that can be applied in real-world contexts.
Dylane C. Yaris
12-HUMSS D
I have learned about the importance of selecting appropriate sampling techniques to ensure representative and valid data collection.
I also learned how different sampling techniques can be integrated to address both qualitative and quantitative data needs.
There are various mixed methods sampling designs, such as concurrent sampling, sequential sampling, stratified purposeful sampling, embedded sampling, and multi-stage sampling.
Escobedo, Nichaela M.
12 - HUMSS A
In research and statistics, population and sampling are fundamental concepts used to collect and analyze data. I learned that population refers to the entire group of individuals. While sample is a subset of the population.
I realized that mixed research integrates qualitative and quantitative methods, requiring careful selection of sampling techniques to align with both approaches.
Regnim Jaspher S.
12- HUMSS C
I learned that Population and sampling are crucial for research as they enable efficient data collection and analysis. Population represents the entire group, while sampling ensures controllability. Various sampling approaches, including stratified, embedded, and concurrent methods, meet qualitative and quantitative methodologies in mixed methods research.
i learned that sampling is important in research because it allows researchers to gather data withour needing to study the entire population.
Dela Cruz Cyrhine P.
12-Humss B
Repollo,Roden Mark E. 12 humss c
Mixed method sampling combines both qualitative and quantitative approaches, allowing for a more comprehensive understanding of research questions by capturing a range of data types. It provides flexibility in addressing complex research problems, though it can be resource-intensive and challenging to integrate findings from different data sources.
Joever L. Galicia
12 - HumSSC
I've learned that population and sampling are essential to research because they form the basis for efficient data collection and analysis. The entire group of interest is represented by the population. A sample is a chosen, smaller subset. By employing techniques like probability sample for generalizability or non-probability sampling for particular settings, sampling guarantees that the study is controllable. Stratified purposeful sampling, embedded sampling, concurrent or sequential sampling, and other sampling approaches are developed to meet the requirements of both qualitative and quantitative methodologies in mixed methods research. Researchers can handle complex research topics, investigate many viewpoints, and reach reliable results with the use of appropriate sampling.
Ken Joshua Valiente
12 - ABM B
I learned that population and sampling are fundamental to collecting and analyzing data effectively, with the population representing the entire group of interest and the sample being a smaller, manageable subset. I realized the importance of selecting a representative sample to ensure valid and generalizable conclusions while considering the study's goals and constraints. I discovered that various sampling methods, such as probability and non-probability sampling, offer unique advantages depending on the research needs. Additionally, I understood how mixed-methods research integrates qualitative and quantitative approaches, using innovative sampling techniques to enhance depth and generalizability.
Marcelle jane P Morente 12 ABM B
I learned that Mixed research uses both numbers (quantitative) and words (qualitative) to understand things. Choosing the right people to study (sampling) is important. For numbers, you might need a large, random group to get broad results. For words, you might choose a smaller group to get detailed information from interviews or focus groups. The key is to pick methods that work together to answer your research question.
Bayani Jonel P.
12-Humss B
In this video made me realize that Mixed methods research presents unique challenges in population and sampling. Quantitative components often demand large, representative samples for generalizability, while qualitative components may utilize smaller, purposive samples for rich data. The key lies in strategically integrating these approaches, perhaps through multi-stage sampling, to balance breadth and depth. Transparency in defining populations and justifying sampling methods is crucial for ensuring the rigor and credibility of the research.
Rodny C Cabangbang 12 Humss B
Reflection:
I've studied this back in statistics and probability in grade 11 then all of this information I can use them on III and like the other day on recitation I answered the difference between population and sampling, different sampling techniques such as cluster and stratified I used them on my activity.
POSTRADO , APRIL JOY C.
12 - HUMSS - B
I learned that appropriate population selection and sampling techniques are crucial for ensuring representative and diverse data in mixed methods research. I also learned that this careful approach enhances the validity and reliability of findings, enabling effective analysis of both quantitative and qualitative data.
Fernandez, Ralf Benedick V.
12 HUMSS-C
I now understand population and sampling in research much better, especially the differences between non-probability and probability sampling techniques. I gained knowledge of a variety of sample methods and their uses, such as judgmental, snowball, cluster, stratified, systematic, and convenient sampling.
Celmar, Allyson P.
12- Toursim A
Reflection: Based on the video I’ve watched “Population and Sampling for Mixed Research”. I learned that it is used to collect and analyze data effectively. there are two categories of sampling, In Probability sampling every individual in the population has non-zero chance of being selected making it more likely to produce a representative, While Non- Probability is selected based on non-random criteria due to convience or specific research needs.
DE GUZMAN,MA NICOLE A.
12 HUMSS D
this research findings, illustrating the correlation between vulnerability and wholehearted living, were particularly compelling. The idea that embracing our imperfections and allowing ourselves to be seen, even when it feels risky, is the path to deeper connection and a more meaningful life, was both insightful and empowering. It challenged my tendency to hide my vulnerabilities, fearing judgment or rejection.
this highlighted the crucial distinction between vulnerability and shame. the differenc vulnerability is about showing up and being seen, while shame is about feeling flawed and unworth was a pivotal moment in my understanding of my own emotional landscape.
Lianzon, Kenneth Louise V.
12- Humss A
I learned the significance of appropriate sampling in mixed research, selecting the right sampling methods is crucial for the validity and generalizability of research findings, especially in mixed research where quantitative and qualitative data are combined.
I understand the potential challenges and limitations of different sampling methods, the video highlighted the potential biases and limitations associated with different sampling techniques, emphasizing the need for careful consideration and justification of the chosen sampling approach.
I realized the continuous evolution of sampling techniques in mixed research, the field of mixed research is constantly evolving, and researchers need to stay updated on the latest developments and best practices in sampling to conduct high-quality research.
Mary Joy Villones
12 -HUMSS D
Population and sampling are crucial for data gathering and evaluation, as they represent the complete group of interest. Choosing a representative sample while considering study objectives and limitations ensures reliable results. Different sampling techniques, like probability and non-probability, offer different benefits. Mixed-methods research combines quantitative and qualitative methodologies, using creative sampling strategies for better generalizability and depth.
Santos, Joana Marie J
12- ABM B
The video explains population and sampling in research, particularly in mixed methods, emphasizing the importance of selecting appropriate sampling methodologies and sample procedures based on the research issue and study goals.
Repaso,Jake Adam A. 12-HUMSS-C
Population and sampling are essential in research and statistics, enabling effective data collection and analysis. The population represents the entire group of interest, while a sample is a manageable subset that reflects its characteristics. Sampling ensures cost-efficiency, feasibility, and ethical data collection. Probability sampling ensures representativeness, while non-probability sampling allows flexibility. Mixed methods research integrates qualitative and quantitative approaches, offering deeper insights and generalizability. Sampling strategies, such as stratified, sequential, and purposeful sampling, are tailored to research goals, ensuring valid conclusions. Overall, a well-designed sampling process bridges the gap between the study's objectives and practical data collection, enriching the research's accuracy and relevance.
Pangilinan, Ayesha Cassandra L.
12-HUMSS D
I learned that population is the entire group being studied, and a sample is a smaller part of it used for research. Sampling makes research faster, cheaper, and easier.
I understand that probability sampling gives everyone in the population a chance to be chosen, making results more accurate (e.g., random or stratified sampling). Non-probability sampling doesn’t guarantee this but works in certain situations (e.g., convenience or quota sampling).
I realized that in mixed research, combining methods (e.g., surveys and interviews) helps get both detailed and broad data. Choosing the right sampling method is key to getting good results.
Bagalangit, Rogelyn T.
12-ABM B
Population and sampling in mixed research ensure accurate and meaningful results by balancing representation and practicality. It highlights the importance of selecting a sample that reflects the population while combining quantitative and qualitative data for comprehensive insights. This process reinforces the value of careful planning and methodological.
Slash H. Patron
XII-HUMSS B
I learned that selecting an appropriate sample technique is essential for any research. With so many alternatives, each with unique advantages and disadvantages, it is easy to feel overwhelmed. As a student, I've discovered that knowing the academic definitions of each method is not nearly as crucial as comprehending its practical applications.
Macaraeg, May Shael Rose M.
12-Abm B
I learned that to effectively conduct mixed research, it is important to understand population and sampling. It assures that the data collected will appropriately represent the group we want to study. Also, making the right sampling technique is essential to ensuring the validity, generalizability, and meaningfulness of the results.
I discovered that in mixed study, population and sampling are essential to guaranteeing that the data gathered is diverse and representative. This method yields accurate and trustworthy results by offering both comprehensive and in-depth information. The study can successfully cover both quantitative and qualitative components by employing appropriate sampling procedures. This procedure aids in making sure the information supports generalizable findings and is pertinent to the research subject.
jovelyn f. lastiere
12-tourism A
Jhon Michael P. Cadiong
12-Humms A
After watching this video I learned that mixed research facilitates the triangulation of data and validity of the study finding by integrating both qualitative and quantitative data.By using both method mixed research can provide more complete and nuanced understanding of research problem and the ability to answer both broad and specific research question while quantities data can provide generable insight ang qualitative data can offer a deefer, more detailed understanding of individual or group experience this combination can lead to more robust finding as the strengths of one methods compensate for the weaknesses of the other.
Samillano, Ace Chelle V.
12-ABM B
I learned that researchers use sampling methods to select a representative subset of a population for study, allowing them to draw conclusions generalizable to the whole population. While probability and non-probability sampling are common, mixed methods combine their strengths for comprehensive data collection. This approach offers reliable insights, saves time and resources, and ensures data quality, ultimately leading to a deeper understanding of complex issues and meaningful findings.
Eugene Clark P Trijo 12-humssC
After watching the video i have learned that population and sampling techniques highlights the importance of carefully selecting a representative subset of a population to ensure accurate, reliable, and generalizable research findings.
Infante, Nicole S.
12 - Tourism A
In this video, I learned that population and sampling are essential concepts in research and statistics that are used to collect and analyze data effectively.
Peñamora, Mark Jomar
12 - HUMSS D
This video hinglights the fundamental concept of population and sampling in research and statistics. It explain the definition of population and sampling and different techniques.
Acoba, Roxy Loraine B.
12 - Tourism A
After watching this video, i learn that population and sampling technique is very important because its enables researchers to examine a smaller representative sample of a larger population, allowing researcher s to make valid conclusions and apply their findings to the entire group. This approach makes research more practical, affordable, and time-saving, while ensuring the results remain reliable and accurate.
Escobedo, Jhon Lloyd V.
12 - ABM B
After watching the video, I learned that population and sampling are crucial for effective research. Choosing the right sampling method, like probability or purposive sampling, ensures data is representative and provides both depth and generalizability in studies.
Vallespin Christopher R.
12- Humss A
I learned about population and sampling to gather comprehensive data by integrating the strengths of both type of methods to provides a more and nuanced understanding of a research problem
Jennifer Andes
12 HUMSS-A
I learned that:In research and statistics, population and sampling are fundamental concepts used to collect and analyze data effectively.The population refers to the entire group of individuals, objects,or events that you are interested in studying or drawing conclusions about.Populations are defined based on the study's purpose and may be homogeneous (similar)or heterogeneous (diverse).
ESTROPEGAN, RODELYN F.
12-TOURISM A
After watching the video, I learned that population and sampling decisions in mixed methods research are complex and require careful planning and justification. The interplay between quantitative and qualitative samples, the choice of sampling strategies, and sample size considerations all significantly impact the validity and generalizability of the findings. A clear understanding of these issues is crucial for conducting rigorous and meaningful mixed methods research.