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Questions and Answers
Which of these is a characteristic of quantitative research?
Which of these is a characteristic of quantitative research?
What does quantitative research use to investigate observable phenomena?
What does quantitative research use to investigate observable phenomena?
Scientifically collected and statistically analyzed data
Quantitative research can provide a comprehensive explanation of human experiences.
Quantitative research can provide a comprehensive explanation of human experiences.
False
Which research design focuses on observing phenomena as they occur without manipulation?
Which research design focuses on observing phenomena as they occur without manipulation?
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What is a common strength of quantitative research?
What is a common strength of quantitative research?
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What type of design investigates the relationship between previous events and present conditions?
What type of design investigates the relationship between previous events and present conditions?
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Quantitative research is flexible and can change at any stage of the study.
Quantitative research is flexible and can change at any stage of the study.
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What statistical analysis methods are mentioned for analyzing data in quantitative research?
What statistical analysis methods are mentioned for analyzing data in quantitative research?
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Match the types of quantitative research designs with their descriptions.
Match the types of quantitative research designs with their descriptions.
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What type of quantitative research allows quick and easy data collection?
What type of quantitative research allows quick and easy data collection?
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Match the following discoveries with their fields of importance:
Match the following discoveries with their fields of importance:
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Quantitative research relies heavily on the use of __________ data.
Quantitative research relies heavily on the use of __________ data.
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The underlined word 'Intercession' has the same meaning as _______________.
The underlined word 'Intercession' has the same meaning as _______________.
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To find out means _______________.
To find out means _______________.
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Salable means _______________.
Salable means _______________.
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Quicken or expedite means _______________.
Quicken or expedite means _______________.
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Relationship means _______________.
Relationship means _______________.
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Create or produce means _______________.
Create or produce means _______________.
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Compatibility means _______________.
Compatibility means _______________.
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Toughest means _______________.
Toughest means _______________.
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Changeable means _______________.
Changeable means _______________.
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Global or widespread means _______________.
Global or widespread means _______________.
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Which variable is manipulated by the researcher?
Which variable is manipulated by the researcher?
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Which of the following is an example of a quantitative variable?
Which of the following is an example of a quantitative variable?
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What is the presumed effect of the manipulation on the object/subject of the experiment?
What is the presumed effect of the manipulation on the object/subject of the experiment?
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Which of the following statements is NOT a characteristic of quantitative research?
Which of the following statements is NOT a characteristic of quantitative research?
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In an experiment, which group does not receive intervention?
In an experiment, which group does not receive intervention?
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Which of the following research questions could be answered by using quantitative research methods?
Which of the following research questions could be answered by using quantitative research methods?
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Which statement below illustrates a weakness of quantitative research?
Which statement below illustrates a weakness of quantitative research?
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Which of the following is NOT a strength of quantitative research?
Which of the following is NOT a strength of quantitative research?
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Which type of quantitative research seeks to determine the relationship of one characteristic to another characteristic?
Which type of quantitative research seeks to determine the relationship of one characteristic to another characteristic?
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Which of the following statements is NOT true about the importance of quantitative research?
Which of the following statements is NOT true about the importance of quantitative research?
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A nominal variable is expressed in numbers. Is this statement always true?
A nominal variable is expressed in numbers. Is this statement always true?
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The independent and dependent variables are applicable to ALL quantitative studies. Is this statement always true?
The independent and dependent variables are applicable to ALL quantitative studies. Is this statement always true?
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Dependent variables can be manipulated. Is this statement always true?
Dependent variables can be manipulated. Is this statement always true?
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Which of the following is an extraneous variable in a study about if spending time with a cat or dog decreases stress?
Which of the following is an extraneous variable in a study about if spending time with a cat or dog decreases stress?
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In the context of vlogs, if a vlogger wants to know if changing the content of his vlogs affects the number of views, what is the number of views?
In the context of vlogs, if a vlogger wants to know if changing the content of his vlogs affects the number of views, what is the number of views?
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Which of the following is an example of a continuous variable?
Which of the following is an example of a continuous variable?
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What is a nominal variable?
What is a nominal variable?
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What is an ordinal variable?
What is an ordinal variable?
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Identify the independent variable in the classroom temperature experiment.
Identify the independent variable in the classroom temperature experiment.
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Identify the dependent variable in the classroom temperature experiment.
Identify the dependent variable in the classroom temperature experiment.
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Identify the extraneous variable in the classroom temperature experiment.
Identify the extraneous variable in the classroom temperature experiment.
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Identify the independent variable in the online seller experiment.
Identify the independent variable in the online seller experiment.
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Identify the dependent variable in the online seller experiment.
Identify the dependent variable in the online seller experiment.
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Identify the extraneous variable in the online seller experiment.
Identify the extraneous variable in the online seller experiment.
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Identify the independent variable in the soil type experiment.
Identify the independent variable in the soil type experiment.
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Identify the dependent variable in the soil type experiment.
Identify the dependent variable in the soil type experiment.
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Identify the extraneous variable in the soil type experiment.
Identify the extraneous variable in the soil type experiment.
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Identify the independent variable in the cellphone charging experiment.
Identify the independent variable in the cellphone charging experiment.
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Identify the dependent variable in the cellphone charging experiment.
Identify the dependent variable in the cellphone charging experiment.
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Identify the extraneous variable in the cellphone charging experiment.
Identify the extraneous variable in the cellphone charging experiment.
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Identify the independent variable in the learning delivery modes experiment.
Identify the independent variable in the learning delivery modes experiment.
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Identify the dependent variable in the learning delivery modes experiment.
Identify the dependent variable in the learning delivery modes experiment.
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Identify the extraneous variable in the learning delivery modes experiment.
Identify the extraneous variable in the learning delivery modes experiment.
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What is the main difference between qualitative and quantitative variables?
What is the main difference between qualitative and quantitative variables?
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Why are dependent and independent variables not applicable in descriptive research?
Why are dependent and independent variables not applicable in descriptive research?
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How important is it for researchers to identify the type of variables in a study?
How important is it for researchers to identify the type of variables in a study?
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How does a confounding variable affect the validity of a study?
How does a confounding variable affect the validity of a study?
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When do we use discrete, continuous, nominal, and ordinal variables?
When do we use discrete, continuous, nominal, and ordinal variables?
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Which of the following statements is NOT true about the importance of Quantitative Research?
Which of the following statements is NOT true about the importance of Quantitative Research?
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Which of the following statements is NOT a characteristic of quantitative research?
Which of the following statements is NOT a characteristic of quantitative research?
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In an experiment, which group does not receive intervention?
In an experiment, which group does not receive intervention?
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Which of the following research questions could be answered by using quantitative research methods?
Which of the following research questions could be answered by using quantitative research methods?
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Which of the following is NOT a strength of quantitative research?
Which of the following is NOT a strength of quantitative research?
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Which statement below illustrates a weakness of quantitative research?
Which statement below illustrates a weakness of quantitative research?
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Which type of quantitative research seeks to determine the relationship of one characteristic to the other characteristic?
Which type of quantitative research seeks to determine the relationship of one characteristic to the other characteristic?
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Which of the following is an example of a continuous variable?
Which of the following is an example of a continuous variable?
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The number of views per uploaded video is the:
The number of views per uploaded video is the:
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Study Notes
Module Overview
- Practical Research 2 focuses on Quantitative Research for Senior High School students.
- Introduces concepts necessary for crafting a quantitative research study.
- Aims to enhance understanding of quantitative research amidst the COVID-19 pandemic.
Key Features
- Published by the Department of Education, Division of Cagayan de Oro, in 2020.
- Module developed by a team of educators, including authors and reviewers.
- Emphasizes the collaborative nature of educational material development.
Legislative Information
- Republic Act 8293 outlines copyright regulations for government works, emphasizing open access but requiring approval for profit exploitation.
Learning Objectives
- Describe characteristics, strengths, weaknesses, and types of quantitative research.
- Illustrate quantitative research's relevance across various fields.
- Differentiate among kinds of variables and their applications in research.
Module Structure
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Lesson 1: Introduction to Quantitative Research
- Covers definitions, characteristics, strengths, weaknesses, and types of quantitative research.
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Lesson 2: Importance of Quantitative Research Across Fields
- Illustrates applications in various disciplines and the significance of research.
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Lesson 3: Variables in Quantitative Research
- Focuses on understanding different variables and their roles in research studies.
Instructional Approach
- Encourages systematic reading and engaging in activities to reinforce learning.
- Contains various icons representing different parts of the module for easier navigation (e.g., "What I Need to Know," "What I Have Learned").
Evaluation Components
- Includes assessments such as post-tests to evaluate comprehension.
- Activities aim to enhance understanding through practical application.
Research Fundamentals
- Quantitative research is described as formal, objective, and systematic.
- Involves measurable data, statistical analysis, and the ability to generalize findings to larger populations.
- Contrast with qualitative research, which focuses on descriptive and narrative data.
Research Questions & Topics
- Highlights the importance of crafting appropriate research questions.
- Identifies various types of quantitative research, including experimental, descriptive, correlational, and quasi-experimental.
Variables in Research
- Distinguishes between independent and dependent variables.
- Emphasizes the need to identify and classify variables for effective research design.
Practical Activities
- Activities challenge students to categorize research characteristics and apply knowledge in real-world scenarios.
- Encourage engaging with core concepts through relatable tasks.
Conclusion
- This module is designed to equip students with the necessary skills and knowledge to undertake quantitative research projects effectively, ensuring continuous learning despite external challenges.### Quantitative Research Overview
- Quantitative research is a formal, systematic method focusing on numerical data analysis.
- It involves both data collection and statistical analysis to examine observable phenomena.
- Commonly used in natural sciences, but applicable across various fields including education, healthcare, and business.
Characteristics of Quantitative Research
- Large sample size is required for meaningful statistical results.
- Data gathering and analysis are objective, minimizing researcher bias.
- Numerical data allows for visual representation through graphs, charts, and tables.
- Quick data analysis using statistical tools saves time.
- Generalizability of findings to the broader population when appropriate sampling methods are used.
- Standardized instruments facilitate fast data collection from large groups.
- Reliable data supports decision-making and policy formulation.
- Replicable studies enhance findings' validity and reliability.
Strengths of Quantitative Research
- Findings can be generalized to a larger population.
- Enables conclusive cause-and-effect relationships.
- Numerical data facilitates prediction of outcomes.
- Data analysis and gathering are efficient and objective.
- Validity and reliability can be easily established.
Weaknesses of Quantitative Research
- Often lacks depth in exploring complex problems.
- May not adequately capture human experiences and emotions.
- Rigid research design limits flexibility in methods.
- Respondents may provide inaccurate answers.
- Expensive to collect data from large samples.
Types of Quantitative Research Designs
- Descriptive Design: Observes and describes phenomena without manipulating variables. Example: Studying the physical activities of high school students during quarantine.
- Correlational Design: Identifies relationships between variables without inferring causation. Example: Physical activity’s impact on academic achievement.
- Ex Post Facto Design: Investigates relationships between past events and current phenomena. Example: Impact of parents’ academic achievements on children’s obesity.
- Quasi-Experimental Design: Establishes cause-effect relationships without random assignment. Example: Effects of unemployment on safety protocol adherence during ECQ.
- Experimental Design: Employs random assignment to establish cause-effect relationships. Example: Effects of different blended learning methods on students’ reading comprehension.
Importance of Quantitative Research Across Fields
- Quantitative research guides crucial decisions in multiple sectors, including healthcare and policy-making.
- Development of vaccines showcases quantitative methods' role in addressing public health crises.
- Helps determine appropriate responses to phenomena, such as Covid-19 case rates affecting quarantine regulations.
- Empirical studies illustrate relationships between varied phenomena, aiding in informed decision-making.
Application Examples
- Relationships studied in quantitative research include supply and demand, age and health, and practice and sporting success.
- Contributions to technological advances and pioneering innovations extensively rely on quantitative analysis.
Conclusion
- The systematic approach of quantitative research not only enhances understanding across disciplines but also sparks interest in employing research methods in practical applications.### Fields of Application for Quantitative Research
- Quantitative research is employed across various disciplines, enabling statistical analysis of data.
- Social Science: Examines the impact of interventions on group behavior, especially during situations like pandemics, focusing on cultural and economic effects.
- Natural and Physical Sciences: Investigates treatment efficacy (e.g., antidiabetic properties of herbs) and explores alternative energy sources and advances in material science.
- Agriculture and Fisheries: Aims to enhance crop yield and control diseases in crops and livestock using organic and inorganic fertilizers.
- Sports: Enhances athletic performance through diet and tailored exercise techniques applicable to various sports.
- Business: Develops marketing strategies, such as evaluating the effectiveness of Facebook adverts on sales figures.
- Arts and Design: Studies the relationship between color and architecture, and analyzes the effects of music on learning and behavior.
- Environmental Science: Investigates the causes and effects of climate change and how environmental factors contribute to natural calamities.
Importance of Quantitative Research in Various Fields
- Natural and Physical Science: Provides objective data to validate hypotheses through experiments and observations.
- Education: Aids in understanding effective teaching methods, contributing to improved learning outcomes.
- Sports: Facilitates performance measurement and the development of evidence-based training programs.
- Arts and Design: Quantifies the impact of design elements, enhancing user experience and engagement in various environments.
- Agriculture and Fisheries: Implements statistical analysis for improved crop management, sustainability, and food security.
- Information and Communication Technology (ICT): Assesses tech effectiveness, user engagement, and market trends impacting technology development.
- Social Science: Enables comprehensive analysis of societal issues, fostering informed policy making and community interventions.
- Business and Accounting: Drives strategic decisions based on market analysis, financial forecasting, and risk management.
Overview of Research Variables
- Variables in quantitative research are categorized as Independent, Dependent, and Extraneous. This classification helps define research boundaries and facilitates smoother data collection and analysis.
- Independent Variables: Manipulated by researchers to observe effects on dependent variables (e.g., sunlight, water, nutrients in agricultural studies).
- Dependent Variables: Measured outcomes affected by changes in the independent variable (e.g., growth of plants, sales figures).
- Extraneous Variables: Uncontrolled factors that may influence the dependent variable, potentially confounding results (e.g., environmental conditions, social influences).
Types of Quantitative Variables
- Quantitative Variables: Used in statistical analysis, can be discrete (countable whole numbers) or continuous (fractional, can take any value).
- Qualitative Variables: Categorical data that describe characteristics or categories, further divided into nominal (no ranking), ordinal (ranked order), and dichotomous (two categories).
- Measurement levels of quantitative data include:
- Interval: Equal intervals without a true zero (e.g., temperature).
- Ratio: Contains a true zero, indicating absence of quantity (e.g., weight, height).
Research Implementation and Analysis
- Identifying research variables aids in the design and execution of experiments or studies.
- Researchers effectively utilize quantitative research to strengthen the validity of their findings, ensuring clear conclusions based on empirical data.
Example Situations in Variable Identification
- Identifying variables such as classroom temperature's impact on academic scores helps clarify independent (temperature), dependent (scores), and extraneous (classroom environment) factors.
- Using practical examples assists in understanding variable relationships, contributing to comprehensive experimental design.
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Description
This quiz focuses on the Nature of Inquiry and Research, outlined in the Practical Research 2 curriculum for Grade 12. The content is specially designed to enhance understanding of research methodologies and their applications in real-world contexts.