Questions and Answers
What type of data does quantitative research primarily utilize?
Which of the following accurately describes a phenomenon in quantitative research?
What is a key characteristic of quantitative research methods?
Which of the following is used for statistical analysis in quantitative research?
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What is the main purpose of collecting data in quantitative research?
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Why is the data in quantitative research required to be quantifiable?
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What is the purpose of converting non-numerical data into numerical data in quantitative research?
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In the context of quantitative research, what does the Likert Scale typically measure?
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What characteristic distinguishes quantitative research from other research methods?
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Which of the following is an example of data that can be measured quantitatively?
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In which fields is quantitative research typically utilized?
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What type of data can students' grades in different subjects represent?
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Why are numerical choices used in surveys, like the Likert Scale?
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Which of the following is NOT a benefit of using quantitative research?
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What is a key weakness of quantitative research related to participant responses?
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Which characteristic of the research design is considered rigid in quantitative research?
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What type of quantitative research is used to observe phenomena without manipulation?
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What is a significant cost factor associated with large sample sizes in quantitative research?
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Which of the following questions can descriptive quantitative research effectively answer?
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In correlational design, what is the primary focus of the research?
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What is the main advantage of data being taken from a sample in quantitative research?
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How does replication in quantitative research contribute to its validity?
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Which of the following is a strength of quantitative research?
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What type of data does quantitative research primarily produce?
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What is a weakness of quantitative research related to understanding human experiences?
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Which of the following statements about data analysis in quantitative research is true?
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What does the strength of numerical data in quantitative research allow researchers to do?
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Which of the following statements about the objectivity of quantitative research is correct?
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What is a primary benefit of using a large sample size in quantitative research?
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What characteristic defines the data gathering process in quantitative research?
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How does quantitative research facilitate data presentation?
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What advantage do statistical tools provide in quantitative data analysis?
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Under what condition can sample data be generalized to a larger population?
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What is a key feature of data collection in quantitative research?
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What type of data does quantitative research typically emphasize?
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What is NOT a feature of quantitative research?
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Study Notes
Introduction to Quantitative Research
- Utilizes scientifically collected and statistically analyzed data to explore observable phenomena.
- A phenomenon refers to any factual or situational aspect that requires further investigation.
Characteristics of Quantitative Research
- Employs scientific methods for the design and collection of numerical data.
- Analyzes numerical data using statistical techniques.
- Data must be numerical and quantifiable, emphasizing the term "quantitative."
Examples of Quantitative Data
- Student grades across various subjects.
- Teen engagement hours on social media platforms.
- Consumer preferences for soap packaging colors.
- Daily Covid-19 patient recovery rates by region.
Data Transformation
- Non-countable data can be converted into numerical formats for analysis.
- Likert Scale can quantify subjective feelings into numerical choices for statistical operations.
General Features
- Relies on large sample sizes to enhance statistical validity.
- Data collection and analysis processes are objective, minimizing researcher bias.
- Numerical data allows for the use of visual presentations like graphs, charts, and tables.
- Fast data analysis is possible through statistical software, reducing time consumption.
- Findings from samples can often be generalized to the broader population when proper sampling is conducted.
Strengths of Quantitative Research
- Findings can be replicated to verify results.
- Establishes causality between variables.
- Generates numerical, quantifiable data to predict outcomes.
- Facilitates quick collection and analysis of data using standardized instruments.
- Maintains objectivity and enhances validity and reliability.
Weaknesses of Quantitative Research
- Lacks depth in exploring complex problems or concepts.
- Does not adequately explain human experiences or emotions.
- Some information may not be quantifiable.
- Research design is often rigid, limiting flexibility.
- Participant responses may be constrained, potentially leading to inaccuracies.
- Large sample sizes can increase data collection costs.
Types of Quantitative Research
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Descriptive Design: Focuses on describing phenomena as they naturally occur without manipulating variables; suitable for answering "what," "where," and "when" but not "why."
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Example: Investigating the frequency of physical activities among high school students during quarantine.
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Correlational Design: Examines the relationship between variables without inferring causation.
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Description
This quiz explores the foundational concepts of quantitative research as outlined in Practical Research 2 by Carlo S. Agrade. It emphasizes the significance of scientifically collected data and its application in investigating observable phenomena. Test your understanding of the principles and methodologies introduced in this section.