This document provides an overview of quantitative research methods. It defines quantitative research as a systematic investigation of phenomena by collecting quantifiable data. The document then outlines the key characteristics of quantitative research, including that it is objective, uses clearly defined research questions, structured instruments, numerical data, large sample sizes, and can be replicated. Strengths and weaknesses of quantitative research are discussed. Finally, different types of quantitative research designs are described, including experimental, quasi-experimental, and various non-experimental designs like surveys, correlations, comparisons, and evaluations.
Research is a systematic process that involves collecting, analyzing, and interpreting information to answer questions or solve problems. It must follow specific characteristics and ethical standards. Some key characteristics of research include being systematic, controlled, empirical, and valid. Researchers have an obligation to adhere to ethical principles like honesty, objectivity, integrity, and carefulness. Maintaining confidentiality and avoiding discrimination are also important ethics to consider. Research ethics help ensure trust and protect the rights of participants.
This document provides information about a module titled "Inquiries, Investigations, and Immersion – Grade 12 Alternative Delivery Mode Quarter 1 – Module 3: Reading on Related Studies". It discusses Philippine copyright law as it applies to government works and how this material can be reproduced for educational purposes. It also lists the authors, editors, illustrators, and management team involved in developing the module.
1) The document discusses quantitative research methods, providing examples and definitions.
2) Quantitative research is defined as using quantifiable data and statistical analysis to study phenomena. It often uses methods like surveys, experiments, and analyzing numerical results.
3) The document provides examples of different types of quantitative research designs, including experimental, descriptive, correlational, evaluation, survey, and causal-comparative research. It also includes activities for students to differentiate between quantitative and qualitative research.
This document discusses quantitative research methods. It defines quantitative research as systematic investigation using quantifiable data and statistical analysis. Quantitative research aims to generate conclusions about how prevalent phenomena are in larger populations. It is used in fields like psychology, economics, marketing and education. There are four main types: descriptive research, correlational research, causal-comparative/quasi-experimental research, and experimental research. The document outlines characteristics, strengths, and weaknesses of quantitative research methods.
This daily lesson plan is for a grade 12 practical research class. The lesson will focus on differentiating types of variables and their uses. Students will take a pre-test to assess their existing knowledge on qualitative and quantitative variables. The teacher will then present a lesson on the nature of variables, including the differences between independent, dependent, and extraneous variables. Students will participate in an activity where they classify example variables as qualitative or quantitative and identify the specific type of each variable. The goal is for students to understand the importance of variables in research and be able to distinguish between variable types.
The document outlines steps for designing research that is useful in daily life, including choosing a topic related to areas like education, health, or social issues. The researcher must define clear objectives and specify where the study will take place. Data sources may include primary sources like surveys and interviews conducted by the researcher, as well as secondary sources from existing research. The document also provides examples of techniques for collecting data, such as interviews, questionnaires, and observations.
Lesson1 Quantitative Research - Practical Research 2Franzia
This document defines quantitative research as explaining phenomena through collecting and analyzing numerical data, especially using statistics. It describes characteristics of quantitative research such as being reliable and objective, generalizing findings through statistics, and establishing cause-and-effect relationships. Advantages include producing objective answers and reliable results from large samples, while disadvantages include ignoring context and limited narratives. The document stresses the importance of quantitative research across fields like education, business, medicine and health, and science and technology.
Chapter 4 Understanding Data and Ways to Systematically Collect DataCarla Kristina Cruz
This document discusses research design and methodology. It describes three types of research design: descriptive research design which aims to describe variables, experimental research design which establishes cause and effect using scientific methods, and historical research design which establishes facts from the past. It also discusses sampling, developing sampling plans, probability and non-probability sampling, instruments, validity, reliability, sources of data collection, and methods of data collection including interviews, questionnaires, observations, tests, and secondary data.
Research is a systematic process that involves collecting, analyzing, and interpreting information to answer questions or solve problems. It must follow specific characteristics and ethical standards. Some key characteristics of research include being systematic, controlled, empirical, and valid. Researchers have an obligation to adhere to ethical principles like honesty, objectivity, integrity, and carefulness. Maintaining confidentiality and avoiding discrimination are also important ethics to consider. Research ethics help ensure trust and protect the rights of participants.
This document provides information about a module titled "Inquiries, Investigations, and Immersion – Grade 12 Alternative Delivery Mode Quarter 1 – Module 3: Reading on Related Studies". It discusses Philippine copyright law as it applies to government works and how this material can be reproduced for educational purposes. It also lists the authors, editors, illustrators, and management team involved in developing the module.
1) The document discusses quantitative research methods, providing examples and definitions.
2) Quantitative research is defined as using quantifiable data and statistical analysis to study phenomena. It often uses methods like surveys, experiments, and analyzing numerical results.
3) The document provides examples of different types of quantitative research designs, including experimental, descriptive, correlational, evaluation, survey, and causal-comparative research. It also includes activities for students to differentiate between quantitative and qualitative research.
This document discusses quantitative research methods. It defines quantitative research as systematic investigation using quantifiable data and statistical analysis. Quantitative research aims to generate conclusions about how prevalent phenomena are in larger populations. It is used in fields like psychology, economics, marketing and education. There are four main types: descriptive research, correlational research, causal-comparative/quasi-experimental research, and experimental research. The document outlines characteristics, strengths, and weaknesses of quantitative research methods.
This daily lesson plan is for a grade 12 practical research class. The lesson will focus on differentiating types of variables and their uses. Students will take a pre-test to assess their existing knowledge on qualitative and quantitative variables. The teacher will then present a lesson on the nature of variables, including the differences between independent, dependent, and extraneous variables. Students will participate in an activity where they classify example variables as qualitative or quantitative and identify the specific type of each variable. The goal is for students to understand the importance of variables in research and be able to distinguish between variable types.
The document outlines steps for designing research that is useful in daily life, including choosing a topic related to areas like education, health, or social issues. The researcher must define clear objectives and specify where the study will take place. Data sources may include primary sources like surveys and interviews conducted by the researcher, as well as secondary sources from existing research. The document also provides examples of techniques for collecting data, such as interviews, questionnaires, and observations.
Lesson1 Quantitative Research - Practical Research 2Franzia
This document defines quantitative research as explaining phenomena through collecting and analyzing numerical data, especially using statistics. It describes characteristics of quantitative research such as being reliable and objective, generalizing findings through statistics, and establishing cause-and-effect relationships. Advantages include producing objective answers and reliable results from large samples, while disadvantages include ignoring context and limited narratives. The document stresses the importance of quantitative research across fields like education, business, medicine and health, and science and technology.
Chapter 4 Understanding Data and Ways to Systematically Collect DataCarla Kristina Cruz
This document discusses research design and methodology. It describes three types of research design: descriptive research design which aims to describe variables, experimental research design which establishes cause and effect using scientific methods, and historical research design which establishes facts from the past. It also discusses sampling, developing sampling plans, probability and non-probability sampling, instruments, validity, reliability, sources of data collection, and methods of data collection including interviews, questionnaires, observations, tests, and secondary data.
The document describes a national training of trainers for grade 11 teachers on the Senior High School curriculum guide. It provides an overview of the curriculum guide's components for the applied track subject "Inquiries, Investigations and Immersion". Specifically, it outlines the 7 learning areas, number of weeks and hours for each area, learner and teacher activities and expected learner outputs. The goal is to explain the subject components and curriculum guide to teachers to help with instruction.
Here are the elements of the research title identified:
Aim: To determine/identify/explore
Topic: The specific variables, phenomena, or topics being studied
Place: The location where the research will be conducted
Period: The time frame of the study
Population: The people, samples, or sources of data for the study
Practical Research 2 (Quantitative Research)Nheru Veraflor
Introduction to Practical Research 2 (Quantitative Research) for Senior High School. This includes lesson on Scientific Process, Characteristic of Quantitative Research and Types of Variables.
Practical Research 2 - Quantitative Research (Nature of Inquiry & Research)Cristy Ann Subala
Definition of Quantitative Research
Characteristics of Quantitative Research
Four Basic Kinds of Quantitative Research
Strengths and Weaknesses of Quantitative Research
Importance of Quantitative Research across Fields
Types of variables
Final exam-in-practical-research-2-2nd (1)Elsa Terre
- The document contains a 50 item multiple choice exam on research fundamentals. The questions cover topics like research designs, sampling, validity, reliability, data analysis, findings and conclusions.
- A table of profile data is provided on selected Grade 12 students which includes variables like age, religion, family characteristics, income level, and study patterns. Questions relate this data to formulating research questions.
- The exam tests understanding of key research concepts and processes including developing research questions, choosing appropriate designs and methods, effectively analyzing and reporting results.
This document provides an overview of quantitative research methods for students taking a Practical Research 2 course. It introduces the teacher, Grisel Gene P. Salvia, and outlines topics to be covered including the nature of inquiry and research, identifying the inquiry and stating the problem, and types of variables. Key aspects of quantitative research like reliability, validity, variables, and experimental design are defined and explained.
Here are the key elements of a research paper and the part each describes based on the information provided:
1. Conceptual Framework - serves as the plan or the blueprint of the study.
2. Definition of Terms - includes definitions of words operationally used in the study.
3. Introduction - serves as an overview of the research topic under investigation.
4. Scope and Delimitation - sets the parameters of the study which narrow down the scope of inquiry.
5. Hypothesis - states the concrete terms that a researcher expects to happen in the study.
6. Significance of the Study - cites the benefits certain groups of persons will get from the outcome of the study.
7
The document provides information about techniques and performance practices applied to contemporary arts in the Philippines. It discusses how artists use locally available materials like plastic straw, bottles, and recyclables to create artworks. Traditional techniques are also applied to contemporary arts. Students are tasked to write a feature essay about existing contemporary arts in their community that have cultural and traditional relevance, including information gathered from interviews with elders. The document contains sample questions about contemporary art techniques, materials, and classifications.
The document discusses the importance of quantitative research across various fields such as anthropology, communication, medicine, psychology, social science, and business. Quantitative research has contributed greatly to improving human life through areas like understanding human evolution and fossils, enhancing communication skills, developing medical treatments, examining human behavior and mental health, determining social relationships and cultural practices, and designing new products and services. Quantitative methods are essential for gathering measurable and numerical data that can be generalized to help explain phenomena and solve problems within these diverse fields.
This document outlines the objectives, content, learning resources, procedures, and reflection for a Practical Research lesson plan for Grade 12 students. The objectives are for students to understand the importance, characteristics, processes, and ethics of research as well as differentiate between quantitative and qualitative research. The content will cover the nature of inquiry and research. Learning resources include textbooks, additional materials, and videos. Procedures include reviewing concepts, presenting examples, group work, discussions, presentations and a short test. The reflection will consider the number of students who achieved mastery and require remediation as well as effective teaching strategies.
This document discusses different types of research including basic or pure research, applied research, descriptive research, correlational research, explanatory research, exploratory research, and action research. It also differentiates between qualitative and quantitative research methods and data. Finally, it provides examples of research across various fields such as social science, natural and physical sciences, environmental science, ICT, sports, agriculture, fisheries, business, and arts.
The document is a daily lesson log for a grade 12 Practical Research class. It outlines the objectives, content, procedures, and evaluation for the week's lessons on the nature and importance of research. The lessons cover the characteristics, processes, ethics, and different types of research. Students learn through videos, discussions, activities in groups, presentations and a short test. The teacher reflects on the lessons and student performance.
This lesson plan aims to teach learners to identify different types of claims through group presentations and discussions. The plan includes objectives, content standards, procedures, learning resources and an assessment. Learners will engage in a warm-up activity to introduce the lesson, then present in groups to demonstrate their understanding of claims of value and policy. The teacher will analyze the presentations with the class and reinforce the key concepts. Learners will complete an individual activity to practice identifying claim types and receive feedback.
Practical Research 1 for SHS
Lesson 1: The Importance of Research in Daily life
Content
1. Differentiate Inquiry from Research
2. Share research experiences and knowledge
3. Explain the importance of research in daily life.
You can watch here https://www.youtube.com/watch?v=bY8lFadJia8&t=1357s
The document contains daily lesson logs for a Practical Research 2 class over several weeks. It includes topics covered each day, learning competencies and objectives, learning resources, and methods of instruction and assessment. Some of the topics covered include course introduction, identifying inquiry and stating problems, learning from others/reviewing literature, and understanding data collection. Learning activities included group work, presentations, analyses, and workshops. Assessments included outputs, recitation, and worksheets. The logs were prepared and checked by the teacher and school administrators.
Designs a Research Used in Daily Life.pptxMaryJoySalas1
The document discusses various quantitative research designs that can be used in studies, including experimental, quasi-experimental, and non-experimental designs. Experimental designs allow researchers to control variables and identify cause-and-effect relationships. Quasi-experimental designs are similar but do not involve random assignment. Non-experimental designs observe phenomena naturally without manipulation. Specific types of non-experimental or descriptive designs include surveys, correlational studies, ex-post facto studies, comparative studies, normative studies, evaluative studies, and methodological studies. Choosing an appropriate research design is important to effectively address the research problem and establish a framework for data collection and analysis.
This document provides guidance on developing research problems, objectives, and titles. It outlines that research problems should be specific, measurable, achievable, realistic, and time-bound. When formulating the problem statement, the research problem and objective should be written clearly and identify specific variables and data collection needs. The title should indicate the subject matter, location, population, and time period of study in a concise format. Guidelines are also provided for analyzing example research titles according to these elements.
This document discusses the different art traditions in the Philippines: Ethnic Tradition, Spanish Colonial Tradition, and Contemporary Arts Tradition. It provides examples of artworks from each tradition, including the Manunggul Jar, Langit Lupa at Impyerno painting, Bayanihan mural, and Cinco Marias installation. The document highlights how Philippine arts have been influenced by geography, experiences of Filipinos, religion, and contemporary culture through time.
This document provides an overview of quantitative research methods. It defines quantitative research as investigating relationships between variables through collection and analysis of numerical data. Key characteristics include using structured instruments to gather data from large, representative samples in a way that can be replicated. Quantitative research aims to classify features, count them, and statistically explain observations. Strengths include generalizability and ability to predict outcomes, while weaknesses include lack of contextual understanding. The document also introduces key quantitative research concepts like variables, types of variables, and research design.
Qualitative Research: Importance in Daily LifeIndayManasseh
Here are brief explanations for the test questions:
1. Qualitative research is a form of social inquiry that focuses on understanding and interpreting how people make sense of their experiences and the world in which they live. It involves collecting and analyzing non-numerical data to understand concepts, perceptions and experiences.
2. The three basic types of research approaches are:
- Scientific approach - deals with empirical data and allows control of variables. Uses quantitative methods.
- Naturalistic approach - people-oriented and focuses on understanding real meanings and social relations. Uses qualitative methods.
- Triangulation/mixed method - combines research designs, data collection and analysis techniques to enhance validity.
The naturalistic approach is people-oriented and focuses on
Lesson 1 Introduction to Quantitative Research.pptxJunilynSamoya1
This document provides an introduction to quantitative research. It describes the key characteristics of quantitative research, including that it uses measurable, objective data from large sample sizes to test hypotheses and establish cause-and-effect relationships. The strengths are that quantitative data can be generalized, predicts outcomes, and allows for fast analysis. Weaknesses include an inability to explore experiences in-depth or describe things like feelings. There are four main types of quantitative designs: descriptive, correlational, ex post facto, and experimental.
This document provides an overview of quantitative research, including its key characteristics, strengths, weaknesses, and types. It discusses how quantitative research uses numbers and statistical analysis to make generalizations about variables. The strengths include reliability and validity, while weaknesses include cost, time requirements, and limiting results to what is proved or unproved. The types of quantitative research designs covered are experimental (pre-experimental, quasi-experimental, true experimental) and non-experimental (survey, correlational, ex-post facto, comparative, evaluative, methodological). Examples of different quantitative research methods are also provided.
The document describes a national training of trainers for grade 11 teachers on the Senior High School curriculum guide. It provides an overview of the curriculum guide's components for the applied track subject "Inquiries, Investigations and Immersion". Specifically, it outlines the 7 learning areas, number of weeks and hours for each area, learner and teacher activities and expected learner outputs. The goal is to explain the subject components and curriculum guide to teachers to help with instruction.
Here are the elements of the research title identified:
Aim: To determine/identify/explore
Topic: The specific variables, phenomena, or topics being studied
Place: The location where the research will be conducted
Period: The time frame of the study
Population: The people, samples, or sources of data for the study
Practical Research 2 (Quantitative Research)Nheru Veraflor
Introduction to Practical Research 2 (Quantitative Research) for Senior High School. This includes lesson on Scientific Process, Characteristic of Quantitative Research and Types of Variables.
Practical Research 2 - Quantitative Research (Nature of Inquiry & Research)Cristy Ann Subala
Definition of Quantitative Research
Characteristics of Quantitative Research
Four Basic Kinds of Quantitative Research
Strengths and Weaknesses of Quantitative Research
Importance of Quantitative Research across Fields
Types of variables
Final exam-in-practical-research-2-2nd (1)Elsa Terre
- The document contains a 50 item multiple choice exam on research fundamentals. The questions cover topics like research designs, sampling, validity, reliability, data analysis, findings and conclusions.
- A table of profile data is provided on selected Grade 12 students which includes variables like age, religion, family characteristics, income level, and study patterns. Questions relate this data to formulating research questions.
- The exam tests understanding of key research concepts and processes including developing research questions, choosing appropriate designs and methods, effectively analyzing and reporting results.
This document provides an overview of quantitative research methods for students taking a Practical Research 2 course. It introduces the teacher, Grisel Gene P. Salvia, and outlines topics to be covered including the nature of inquiry and research, identifying the inquiry and stating the problem, and types of variables. Key aspects of quantitative research like reliability, validity, variables, and experimental design are defined and explained.
Here are the key elements of a research paper and the part each describes based on the information provided:
1. Conceptual Framework - serves as the plan or the blueprint of the study.
2. Definition of Terms - includes definitions of words operationally used in the study.
3. Introduction - serves as an overview of the research topic under investigation.
4. Scope and Delimitation - sets the parameters of the study which narrow down the scope of inquiry.
5. Hypothesis - states the concrete terms that a researcher expects to happen in the study.
6. Significance of the Study - cites the benefits certain groups of persons will get from the outcome of the study.
7
The document provides information about techniques and performance practices applied to contemporary arts in the Philippines. It discusses how artists use locally available materials like plastic straw, bottles, and recyclables to create artworks. Traditional techniques are also applied to contemporary arts. Students are tasked to write a feature essay about existing contemporary arts in their community that have cultural and traditional relevance, including information gathered from interviews with elders. The document contains sample questions about contemporary art techniques, materials, and classifications.
The document discusses the importance of quantitative research across various fields such as anthropology, communication, medicine, psychology, social science, and business. Quantitative research has contributed greatly to improving human life through areas like understanding human evolution and fossils, enhancing communication skills, developing medical treatments, examining human behavior and mental health, determining social relationships and cultural practices, and designing new products and services. Quantitative methods are essential for gathering measurable and numerical data that can be generalized to help explain phenomena and solve problems within these diverse fields.
This document outlines the objectives, content, learning resources, procedures, and reflection for a Practical Research lesson plan for Grade 12 students. The objectives are for students to understand the importance, characteristics, processes, and ethics of research as well as differentiate between quantitative and qualitative research. The content will cover the nature of inquiry and research. Learning resources include textbooks, additional materials, and videos. Procedures include reviewing concepts, presenting examples, group work, discussions, presentations and a short test. The reflection will consider the number of students who achieved mastery and require remediation as well as effective teaching strategies.
This document discusses different types of research including basic or pure research, applied research, descriptive research, correlational research, explanatory research, exploratory research, and action research. It also differentiates between qualitative and quantitative research methods and data. Finally, it provides examples of research across various fields such as social science, natural and physical sciences, environmental science, ICT, sports, agriculture, fisheries, business, and arts.
The document is a daily lesson log for a grade 12 Practical Research class. It outlines the objectives, content, procedures, and evaluation for the week's lessons on the nature and importance of research. The lessons cover the characteristics, processes, ethics, and different types of research. Students learn through videos, discussions, activities in groups, presentations and a short test. The teacher reflects on the lessons and student performance.
This lesson plan aims to teach learners to identify different types of claims through group presentations and discussions. The plan includes objectives, content standards, procedures, learning resources and an assessment. Learners will engage in a warm-up activity to introduce the lesson, then present in groups to demonstrate their understanding of claims of value and policy. The teacher will analyze the presentations with the class and reinforce the key concepts. Learners will complete an individual activity to practice identifying claim types and receive feedback.
Practical Research 1 for SHS
Lesson 1: The Importance of Research in Daily life
Content
1. Differentiate Inquiry from Research
2. Share research experiences and knowledge
3. Explain the importance of research in daily life.
You can watch here https://www.youtube.com/watch?v=bY8lFadJia8&t=1357s
The document contains daily lesson logs for a Practical Research 2 class over several weeks. It includes topics covered each day, learning competencies and objectives, learning resources, and methods of instruction and assessment. Some of the topics covered include course introduction, identifying inquiry and stating problems, learning from others/reviewing literature, and understanding data collection. Learning activities included group work, presentations, analyses, and workshops. Assessments included outputs, recitation, and worksheets. The logs were prepared and checked by the teacher and school administrators.
Designs a Research Used in Daily Life.pptxMaryJoySalas1
The document discusses various quantitative research designs that can be used in studies, including experimental, quasi-experimental, and non-experimental designs. Experimental designs allow researchers to control variables and identify cause-and-effect relationships. Quasi-experimental designs are similar but do not involve random assignment. Non-experimental designs observe phenomena naturally without manipulation. Specific types of non-experimental or descriptive designs include surveys, correlational studies, ex-post facto studies, comparative studies, normative studies, evaluative studies, and methodological studies. Choosing an appropriate research design is important to effectively address the research problem and establish a framework for data collection and analysis.
This document provides guidance on developing research problems, objectives, and titles. It outlines that research problems should be specific, measurable, achievable, realistic, and time-bound. When formulating the problem statement, the research problem and objective should be written clearly and identify specific variables and data collection needs. The title should indicate the subject matter, location, population, and time period of study in a concise format. Guidelines are also provided for analyzing example research titles according to these elements.
This document discusses the different art traditions in the Philippines: Ethnic Tradition, Spanish Colonial Tradition, and Contemporary Arts Tradition. It provides examples of artworks from each tradition, including the Manunggul Jar, Langit Lupa at Impyerno painting, Bayanihan mural, and Cinco Marias installation. The document highlights how Philippine arts have been influenced by geography, experiences of Filipinos, religion, and contemporary culture through time.
This document provides an overview of quantitative research methods. It defines quantitative research as investigating relationships between variables through collection and analysis of numerical data. Key characteristics include using structured instruments to gather data from large, representative samples in a way that can be replicated. Quantitative research aims to classify features, count them, and statistically explain observations. Strengths include generalizability and ability to predict outcomes, while weaknesses include lack of contextual understanding. The document also introduces key quantitative research concepts like variables, types of variables, and research design.
Qualitative Research: Importance in Daily LifeIndayManasseh
Here are brief explanations for the test questions:
1. Qualitative research is a form of social inquiry that focuses on understanding and interpreting how people make sense of their experiences and the world in which they live. It involves collecting and analyzing non-numerical data to understand concepts, perceptions and experiences.
2. The three basic types of research approaches are:
- Scientific approach - deals with empirical data and allows control of variables. Uses quantitative methods.
- Naturalistic approach - people-oriented and focuses on understanding real meanings and social relations. Uses qualitative methods.
- Triangulation/mixed method - combines research designs, data collection and analysis techniques to enhance validity.
The naturalistic approach is people-oriented and focuses on
Lesson 1 Introduction to Quantitative Research.pptxJunilynSamoya1
This document provides an introduction to quantitative research. It describes the key characteristics of quantitative research, including that it uses measurable, objective data from large sample sizes to test hypotheses and establish cause-and-effect relationships. The strengths are that quantitative data can be generalized, predicts outcomes, and allows for fast analysis. Weaknesses include an inability to explore experiences in-depth or describe things like feelings. There are four main types of quantitative designs: descriptive, correlational, ex post facto, and experimental.
This document provides an overview of quantitative research, including its key characteristics, strengths, weaknesses, and types. It discusses how quantitative research uses numbers and statistical analysis to make generalizations about variables. The strengths include reliability and validity, while weaknesses include cost, time requirements, and limiting results to what is proved or unproved. The types of quantitative research designs covered are experimental (pre-experimental, quasi-experimental, true experimental) and non-experimental (survey, correlational, ex-post facto, comparative, evaluative, methodological). Examples of different quantitative research methods are also provided.
This document discusses key concepts in marketing research including:
1. It defines market research and marketing research, noting that market research focuses specifically on gathering market size and trend information while marketing research covers a broader range of activities.
2. It outlines the typical steps in the marketing research process including defining the problem, research design, data collection, analysis and reporting.
3. It provides details on key aspects of research design like secondary data sources, primary data collection methods, sampling, measurement scales and hypothesis testing.
Quantitative research uses numbers and statistics to generalize findings about problems or inquiries. It employs standardized instruments to collect measurable data from large samples, which are then statistically analyzed to determine relationships between variables. There are experimental designs that manipulate variables and non-experimental designs that observe phenomena naturally. Common quantitative methods include surveys, correlations, experiments, ex post facto studies, comparisons, evaluations, and methodological designs.
PR2 PPT 1-LAS2 The Importance of Research in Daily Life.pptxGiaGales1
This document discusses quantitative research, which uses statistically analyzed numerical data to investigate observable phenomena. It describes the characteristics of quantitative research, including large sample sizes, objective analysis, and presentation of results through visuals like graphs. Strengths are its ability to be replicated, generalizability, and fast analysis, while weaknesses include lack of depth and rigid designs. Common quantitative research designs are descriptive, correlational, ex post facto, quasi-experimental, and experimental. Examples are provided to illustrate each design.
Difference Between Qualitative and Quantitative Research.docxzekfeker
Literature search tools Zekarias Tilaye
Hints:
These tools help researchers to find and collect relevant scholarly literature, such as
academic journals, books, and conference proceedings. Some examples of literature
search tools include Google Scholar, PubMed, and Scopus.
Therefore, please provide us with clear information on this topic.
Quantitative research focuses on collecting and analyzing numerical data using statistical and computational methods. It emphasizes objective measurements to analyze data collected from surveys, questionnaires, or pre-existing statistical data. There are three main types of quantitative research: descriptive research aims to describe characteristics of a population or phenomenon; correlational research examines relationships between variables; and experimental research tests hypotheses by manipulating variables and controlling for other factors to determine cause-and-effect relationships. Quantitative research generates results that can be generalized to wider populations and aims to classify, count, and statistically explain observed data.
The document discusses quantitative research methods. It begins by defining quantitative data as pieces of information that can be counted, often from large random samples. Both qualitative and quantitative methods are then described as complementary approaches. Key points about quantitative research include: it aims to determine relationships between variables; designs are descriptive or experimental; it focuses on numbers, logic and objectivity rather than divergent reasoning; and characteristics include using structured instruments, representative large samples, reliability, clearly defined questions, and numerical data. The strengths are broader generalization while weaknesses include less detail and flexibility.
The document discusses various aspects of media research methodology. It outlines the steps involved including defining the research problem, developing objectives and hypotheses, reviewing literature, deciding the research design, collecting and analyzing data, and developing conclusions. It also discusses different research approaches and methods that can be used including experimental, exploratory, descriptive, case studies, surveys, and content analysis. The key aspects of ensuring rigorous media research are emphasized.
This chapter discusses research methods and procedures. It describes the descriptive method of research, which involves observing and describing phenomena without influencing it. Common data collection methods like interviews and questionnaires are discussed. The document also covers developing a good research instrument, sampling design including different probability sampling techniques, and guidelines for selecting appropriate statistical analysis procedures.
This document outlines the key aspects of survey research. It defines a survey, explains why surveys are used, and describes the characteristics and steps involved in survey research. It discusses tools for surveys such as interviews and questionnaires. It also covers survey research designs like cross-sectional and longitudinal studies. Finally, it summarizes the strengths and limitations of survey research.
This document provides an overview of quantitative research methods. It begins by defining quantitative research as objective and empirical, utilizing numerical data and analysis. It then describes key characteristics of quantitative research like clearly defined research questions, structured instruments, and large sample sizes. Strengths are listed as being objective, replicable, and allowing for statistical analysis, while weaknesses include high costs and potential inaccuracy. Different types of quantitative research are defined, including descriptive, correlational, experimental, and survey research. The document concludes by explaining key concepts in quantitative research like variables, and distinguishing between independent, dependent, intervening, and confounding variables.
The document provides an overview of research methodology. It discusses key aspects of the research process including developing research questions and hypotheses, research design, data collection methods, and data analysis. Some common data collection methods described are surveys, experiments, case studies, observations, interviews, and focus groups. The document also covers qualitative and quantitative research approaches, as well as descriptive, explanatory, and exploratory research.
Quantitative research examines phenomena through collection and analysis of numerical data. It has strengths such as the ability to generalize results to larger populations and analyze data quickly. However, it also has weaknesses such as high costs and lack of contextual factors. It requires large sample sizes for accurate findings but may ignore individual responses and sensitive issues. Overall, the best approach depends on the research question, and combining quantitative and qualitative methods can be most effective.
This document discusses various methods for collecting data and designing research instruments. It begins by outlining the objectives of helping students recognize the importance of data gathering and identifying various collection techniques. The document then discusses primary and secondary data sources, as well as instruments like interviews, questionnaires, observation, attitude scales, and tests. It provides advantages and limitations of each technique. The document also covers reliability, validity, and considerations for designing valid and reliable instruments.
This document provides an overview of research methodology basics, including the meaning of research, objectives of research, types of research, and the research process. It discusses quantitative and qualitative research methods. Quantitative research uses numerical data and statistical analysis, while qualitative research seeks to understand human behavior through in-depth exploration. Both methods have limitations, such as issues of validity, reliability, and generalizability for qualitative research, and lack of context for quantitative. The document also lists top international research institutes for economics and important research institutes in India. It provides definitions and characteristics of research and covers the key steps in the research process.
This document provides an overview of quantitative research. It defines quantitative research as collecting and analyzing numerical data using objective, structured research methods. It describes the key characteristics of quantitative research as using numerical data, large sample sizes, clearly defined research questions, and structured research instruments. It also differentiates between dependent and independent variables, and different types of quantitative research designs including experimental, quasi-experimental, descriptive, correlational, and ex post facto designs. Finally, it discusses the different levels of variables.
The document defines and discusses various types of research including basic, applied, correlational, descriptive, experimental, exploratory, historical, phenomenological, qualitative, and quantitative research. It also outlines the typical sections of a research study including the introduction, theoretical framework, statement of the problem, significance of the study, scope and limitations, and data analysis methods. Statistical tests that can be used for data analysis such as t-tests, ANOVA, and non-parametric tests are also explained.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
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How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
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6. Learning Objectives:
The learners shall be able to:
1. Define quantitative research
2. Describe the characteristics of quantitative research
3. Know the strengths and weaknesses of quantitative
research
4. Be familiar with the kinds of quantitative research
MELCS Code: CS_RS12-Ia-c-1
7. Part 1:
Quantitative Research
Quantitative Research is defined as a systematic
investigation of phenomena by gathering quantifiable
data and performing statistical, mathematical, or
computational techniques (Bhat, Adi, 2000).
It highlights numerical analysis of data hoping the
number yield unbiased results.
________________________________________________
Systematic - a definite set of procedures and steps which you will follow. A process
which are always done in order to get the most accurate results. Organized in that
there is a structure or method in going about doing research.
Phenomena – a fact, occurrence, or circumstance observed
8. Activity #1
Describe Quantitative research in 1-2 sentences
using your understanding about its definition.
Use a separate sheet of paper for your answers
9. Part 2:
6 Characteristics of Quantitative Research
1. Objective – it seeks accurate measurement and
analysis of the target concept. It is not based on
mere intuitions and guesses.
2. Clearly Defined Research Questions – research
questions are well-defined, for which objective
answers are sought. All aspects of the study are
carefully designed before data are gathered.
10. Part 2:
6 Characteristics of Quantitative Research
3. Structured Instruments – data are gathered using
structured research tools such as questionnaires
(with close-ended questions) to collect measurable
characteristics of the population (age, socio-
economic status, number of children, etc.)
4. Numerical in Nature – It relies primarily on data and
numerical analysis, organized, and presented using
tables, charts, graphs, and figures that consolidate
large numbers of data to show trends, relationships,
or differences among variables.
11. Part 2:
6 Characteristics of Quantitative Research
5. Large Sample Sizes – this requires a large sample
size, depending on how the characteristics of the
population vary.
6. Replication – It can be repeated to verify or
confirm the correctness of the result in another
setting. This strengthens the validity of the
findings.
13. Part 3:
Strengths and Weaknesses of
Quantitative research
STRENGTHS OF QUANTITATIVE RESEARCH
1. It is objective. The most reliable and valid way of
concluding results, giving way to a new hypothesis or to
disproving it. Because of bigger number of the sample of
a population, the results or generalizations are more
reliable and valid. Since it provides numerical data, it
can’t be easily misinterpreted.
2. The use of statistical techniques facilitates sophisticated
analyses and allows you to comprehend a huge amount
of vital characteristics of data.
14. Part 3:
Strengths and Weaknesses of
Quantitative research
STRENGTHS OF QUANTITATIVE RESEARCH
3. It is real and unbiased. If the research is properly
designed it filters out external factors, and so can be
seen as real and unbiased.
4. The numerical data can be analyzed in a quick and
easy way. By employing statistically valid random
models, findings can be generalized to the
population about which information is necessary.
15. Part 3:
Strengths and Weaknesses of
Quantitative research
STRENGTHS OF QUANTITATIVE RESEARCH
5. Quantitative studies are replicable. Standardized
approaches allow the study to be replicated in
different areas or over time with formulation of
comparable findings.
6. Quantitative experiments are useful for testing the
results gained by a series of qualitative
experiments, leading to a final answer, and
narrowing down of possible directions to follow
16. Part 3:
Strengths and Weaknesses of
Quantitative research
WEAKNESSES OF QUANTITATIVE RESEARCH
1. Quantitative research requires a large number of
respondents. It is assumed that the larger the
sample is, the more statistically accurate the
findings are.
2. It is costly. Since, there are more respondents
compared to qualitative research, the expenses will
be greater in reaching out to these people and in
reproducing questionnaires.
17. Part 3:
Strengths and Weaknesses of
Quantitative research
WEAKNESSES OF QUANTITATIVE RESEARCH
3. The information is contextual factors to help interpret
the results or to explain variations are usually ignored. It
does not consider the distinct capacity of the
respondents to share and elaborate further information
unlike the qualitative research.
4. Much information are difficult to gather using structured
research instruments, specifically on sensitive issues like
pre-marital sex, domestic violence, among others.
18. Activity #3
Write S if Strength and W if Weaknesses of Quantitative Research
1. Costly
2. Objective
3. Replicable
4. Limit to contextual information
5. Uses Statistical Techniques
6. Real and Unbiased
7. Difficulty in gathering information
8. Quick and Easy
9. Need a large respondent
10. Are useful for testing the results gained by a series of
experiments
21. Part 4:
Quantitative Research Designs
Non-Experimental Designs
Are used when the researcher wishes to:
❑ Explore events, people, situations as they naturally occur
❑ Test relationships and differences among variables
The independent variable is not manipulated
Subjects are not randomized
There is no control group
22. Part 4:
Types of Descriptive Research Designs
Descriptive Research Design
1. Survey
A research design used when the researcher intends to provide a quantitative or
numeric description of trends, attitudes, opinions of a population by studying a sample
of that population (Creswell, 2003).
❑ a design in which data are collected with questionnaires or through personal
interviews with members of an identified population
❑ It may be descriptive, exploratory, or comparative surveys
❑ It uses the data to justify and assess current conditions and practices
❑ Example:
Hours Spent by Grade 12 Senior High School Students on Social Media
23. Part 4:
Types of Descriptive Research Designs
2. Correlational
❑ Explores, examines and observes the association or relationships between two or more
variables; variables is not controlled
❑ Intends to estimate the extent to which the different variables are related to one another
❑ Establishes or explores relationships, associations, or interdependence between two or more
variables without investigating causal reasons underlying them
❑ It has three types: Bivariate correlational studies, prediction studies, and multiple regression
prediction studies
❑ Example:
A Correlational Study of the Relationship Between Sense of Humor and Positive Psychological
Capacities
Liver Regeneration in Acute Severe Liver Impairment: A Clinicopathological Correlation Study
A Correlation Study of Personal Entrepreneurial Competency and the Academic Performance
in Operations Management of Business Administration Students
A Study of the Relationship between IQ and Clinical Depression
24. Part 4:
Types of Correlational Research
Bivariate Correlational Studies – obtain scores from two variables for each subject, then use them
to calculate a correlation coefficient. The term bivariate implies that the two variables are
correlated (variables are selected because they are believed to be related).
Example: Children of wealthier (variable #1), better educated (variable #2) parents earn higher
salaries as adults
Prediction studies use correlation co-efficient to show how one variable (the predictor variable)
predicts another (the criterion variable).
Example: Which high school applicants should be admitted to college?
Multiple Regression prediction studies – suppose the high school GPA is not the sole predictor of
college GPA, what might be other good predictors? All of these variables can contribute to the
over-all production in an equation that adds together the predictive power of each identified
variable.
25. Part 4:
Types of Descriptive Research Designs
3. Comparative
❑ It involves comparing and contrasting two or more samples of study subjects on one
or more variables, often at a single point of time.
❑ Example:
A Comparative Study on the Health Problems among Rural and Urban Older People
from District Mehsana, Gujarat.
A Comparative Study on the Pricing Strategy of Jollibee Foods Corporation and
Golden Arches Development Corporation (Mc Donalds)
26. Part 4:
Types of Descriptive Research Designs
4. Evaluation
❑ It is a research conducted to elicit useful feedback from a variety of respondents
from various fields to aid in decision-making or policy formulation.
❑ Formative and Summative evaluation types are the most commonly used in
research
❑ Formative evaluation is used to determine the quality of implementation of a
project, the efficiency and effectiveness of a program, assessment of
organizational processes like procedures, policies, guidelines, human resource
development, etc.
❑ Summative evaluation is undertaken to determine whether the program or
intervention achieved its goals, objectives, or outcomes; how the program's impact
compares to different programs; and to better understand the process of change,
what works, what doesn't, and why.
❑ Example:
Effectiveness of the implementation of the K-12 Program in Lagro High School S.Y.
2016-2017
27. Part 4:
Types of Descriptive Research Designs
5. Methodological
❑ In this approach, the implementation of a variety of methodologies forms
critical part of achieving the goal of developing a scaled-match approach,
where data from different disciplines can be integrated
28. Part 4:
Quantitative Research Designs
Experimental
❑ Utilizes the scientific method to test cause and effect
relationships under conditions controlled by the
researcher/ treatment is given to a controlled group
29. Part 4:
Pre-Experimental Research Designs
❑ A. PRE-EXPERIMENTAL DESIGN. It is carried out before the main
experiment. In a pre-experiment either a single group or multiple groups
are observed subsequent to some agent or treatment presumed to cause
change. Among the experimental designs, it has the least internal validity
❑ Types of Pre-Experimental Design
1. One-shot case study design
2. One-group pretest-posttest design
3. Static-group comparison
❑ One-shot case study design
A single group is studied at a single point in time after some treatment that is
presumed to have caused change. The carefully studied single instance is
compared to general expectations of what the case would have looked like
had the treatment not occurred and to other events casually observed. No
control or comparison group is employed.
30. Part 4:
Types of Pre-Experimental Research Design
Experiment (Intervention/ Treatment/ Program/ Services)
Observation (Post-Test)
31. Part 4:
Types of Pre-Experimental Research Design
❑ One-group pretest-posttest design
A single case is observed at two time points, one before
the treatment and one after the treatment. Changes in
the outcome of interest are presumed to be the result of
the intervention or treatment. No control or comparison
group is employed.
❑ Example: One group is given intervention/treatment
for depression and afterwards given post-test
32. Part 4:
Types of Pre-Experimental Research Design
Experiment (Intervention/ Treatment/ Program/ Services)
Observation (Post-Test)
Observation (Pre-Test)
33. Part 4:
Types of Pre-Experimental Research Design
❑ Static-group comparison
A group that has experienced some treatment is
compared with one that has not. Observed differences
between the two groups are assumed to be a result of the
treatment.
❑ Example: There are two groups. One group is given
intervention/treatment for depression and the
other group is not given intervention and
treatment. Afterwards both groups are given
post-test
34. Part 4:
Types of Pre-Experimental Research Design
Experiment (Intervention/ Treatment/ Program/ Services)
Observation 1st Group (Post-Test)
Observation 2nd Group (Post-Test)
35. Part 4:
Quasi-Experimental Research Design
B. QUASI – EXPERIMENTAL DESIGN. In this design, the researcher can collect more
data, either by scheduling more observations or finding more existing measures.
Quasi-experimental design involves selecting groups, upon which a variable is
tested, without any random pre-selection processes. For example, to perform an
educational experiment, a class might be arbitrarily divided by alphabetical
selection or by seating arrangement (Non-Equivalent Control Group Design, Time
Series Design).
Used for test of causality with sub-optimal variable control; independent variable
is not manipulated. Quasi-Experimental design differs from True Experimental
design by the absence of random assignments of subjects to different conditions.
What Quasi-experiments have in common with true experiments is that some
subjects receive an intervention and provide data likely to reflect its impact.
❑ Example: A Study on the Effect of an After School Physical Activity Program
on Childhood Obesity Rates
36. Part 4:
Types of Quasi-Experimental Research Design
Two Types of Quasi-Experimental Design
1. Non-equivalent Control Group Design – refers to the chance failure of
random assignment to equalize the conditions by converting a true
experiment into this kind of design, for purposes of analysis.
2. Interrupted Time Series Design – employs measures before and after the
experimental intervention. It differs from the single-group pre-
experiment that has only one pre-test and one post-test. User of this
design assume that the time threats such as history or maturation appear
as regular changes in the measures prior to the intervention.
37. Part 4:
Types of Quasi-Experimental Research Designs
Ex Post Facto” Latin for “after the fact” or Causal-comparative
❑ A category of research design in which the investigation starts after the fact has occurred without
interference from the researcher.
❑ A quasi-experimental study examining how an independent variable, present prior to the study,
affects a dependent variable. So like we just said, there is something about the participant that
we're going to study that we don't have to alter in the participant. We will make this a little clearer
a little later with some examples and descriptions.
❑ Ex post facto designs are different from true experiments because ex post facto designs do not use
random assignment. In ex post facto, you are looking at a prior variable present in the participant.
n an ex post facto design, you are not randomly assigning people to an experimental group or
control group. You are purposefully putting people in a particular group based on some prior thing
they have. I say 'thing' because it could be 'must have glasses,' or 'must be overweight.' There is no
limit to the ways you could divide up the population.
❑ Why is ex post facto design considered a quasi-experimental? Also known as "after the fact"
research, an ex post facto design is considered quasi-experimental because the subjects are not
randomly assigned - they are grouped based on a particular characteristic or trait.
❑ Example:
What is the effect of home schooling on the social skills of adolescents?
38. Part 4:
True Experimental Research Design
❑ C. TRUE-EXPERIMENTAL DESIGN. The true experimental research design relies on statistical
analysis to approve or disprove a hypothesis. It is the most accurate type of experimental
design or internal validity and may be carried out with or without a pretest on at least 2
randomly assigned dependent subjects.
❑ True experimental designs require random assignment. Control groups do not receive an
intervention, and experimental groups receive an intervention. The basic components of a
true experiment include a pretest, posttest, control group, and experimental group. Testing
effects may cause researchers to use variations on the classic experimental design.
❑ Example:
The Effect of Facebook Marketing on Brand Engagement: The Role of Demographics and
Psychographics An Empirical Study on Smartphone Users in Egypt
Impact of Remote Learning on Student Performance in the Face of COVID 19 among Senior
High School Students in Miami
The effectiveness of family planning programs evaluated with true experimental designs.
39. Part 4:
Types of True Experimental Research Design
❑ The pretest-posttest Control Group Design: For this control group design,
subjects are randomly assigned to the 2 groups, both are presented, but
only the experimental group is treated. After close observation, both
groups are post-tested to measure the degree of change in each group.
❑ The posttest-only Control Group Design: In this design, subjects are
randomly selected and assigned to the 2 groups (control and
experimental), and only the experimental group is treated. After close
observation, both groups are post-tested, and a conclusion is drawn from
the difference between these groups.
❑ Solomon four-group Design: This is the combination of the pretest-only and
the pretest-posttest control groups. In this case, the randomly selected
subjects are placed into 4 groups. The first two of these groups are tested
using the posttest-only method, while the other two are tested using the
pretest-posttest method.
42. References:
Baraceros, E. (2016). Practical Research 2. Rex Book Store, Inc.
Bhat, A. (2020). Quantitative Research. Retrieved from
https://www.questionpro.com/blog/quantitative-research/
Prieto, N.,Naval, V & Carey, T. (2017). Practical Research 2 for Senior High
School. Lorimar Publishing, Inc.
43. Part 1:
Describe Quantitative research.
(Answer Key)
Quantitative research is the process of collecting and
analyzing numerical data. It can be used to find patterns and
averages, make predictions, test causal relationships, and
generalize results to wider populations.
Quantitative research is widely used in the natural and social
sciences: biology, chemistry, psychology, economics, sociology,
marketing, etc.
44. Part 2:
Characteristics of Quantitative Research
(Link Me Answer Key)
1. Costly - B
2. Large Respondents - D
3. Limit to contextual information - A
4. Difficulty in gathering information - C
45. Part 3:
Strengths and Weaknesses of
Quantitative research (Answer Key)
STRENGTHS WEAKNESSES
1. Objective 1. Need a large respondent
2. Uses Statistical Techniques 2. Costly
3. Real and Unbiased 3. Limit to contextual info
4. Quick and Easy 4. Difficulty in gathering info
5. Replicable
6. Useful for testing the results
46. Part 4:
Kinds of Quantitative Research (Answer Key)
A. Survey K. Experiment
B. Survey L. Survey
C. Survey M. Survey
D. Experiment N. Experiment
E. Survey O. Survey
F. Survey P
. Survey
G. Survey
H. Survey
I. Survey
J. Survey