Podcast
Questions and Answers
What is one strength of quantitative research?
What is one strength of quantitative research?
Which of the following is a weakness of quantitative research?
Which of the following is a weakness of quantitative research?
What does a correlational study primarily evaluate?
What does a correlational study primarily evaluate?
Which research design focuses on establishing cause-effect relationships?
Which research design focuses on establishing cause-effect relationships?
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What characterizes descriptive research design?
What characterizes descriptive research design?
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Which characteristic is NOT typically associated with an experimental quantitative study?
Which characteristic is NOT typically associated with an experimental quantitative study?
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What type of variable is represented by the number of students in a classroom?
What type of variable is represented by the number of students in a classroom?
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Which of the following is an example of a confounding variable?
Which of the following is an example of a confounding variable?
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Which of these is NOT a type of qualitative variable?
Which of these is NOT a type of qualitative variable?
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What starts a specific research question in descriptive research?
What starts a specific research question in descriptive research?
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Which statement about extraneous variables is true?
Which statement about extraneous variables is true?
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What research question type is suitable for correlational research?
What research question type is suitable for correlational research?
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What is a key difference between confounding variables and extraneous variables?
What is a key difference between confounding variables and extraneous variables?
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Study Notes
Strengths of Quantitative Research
- Generates findings that can be generalized to larger populations, enhancing the applicability of results.
- Allows study replication, making it easier to verify results across different settings or samples.
- Facilitates predictions based on numerical and quantifiable data, aiding in forecasting future trends.
- Maintains a low level of subjectivity, enhancing objectivity in research results.
- Data-gathering techniques are generally easier to implement, reducing operational complexity.
- Statistical software speeds up data analysis, allowing for quicker insights and conclusions.
Weaknesses of Quantitative Research
- Lacks depth in providing detailed information about complex subjects or phenomena.
- Participant responses are confined to prescribed queries, limiting the breadth of data collected.
- Self-reported data may be inaccurate, affecting overall reliability of results.
- Numerical data can fall short in analyzing non-tangible or qualitative factors.
Research Design
- Defines the overall strategy a researcher employs to integrate various study components coherently.
- Serves as a structured plan to collect and generate data, aiming to answer the research inquiry thoroughly.
- Essential for guiding the research process towards answering fundamental questions effectively.
Quantitative Research Design Types
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Descriptive: Observes and reports on specific phenomena or behaviors.
- Includes case studies, case series, cross-sectional studies, prospective studies, and case-control studies.
- Correlational: Evaluates relationships between variables, identifying positive or negative directions.
- Quasi-Experimental: Aims to establish cause-effect relationships between variables without full experimental controls.
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Experimental: Employs scientific methods to test hypotheses and study causal relationships.
- Characteristics include defining variable relationships, testable hypotheses, group assignments, independent variable alterations, and dependent variable measurements before and after changes.
Variables
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Quantitative Variables:
- Discrete: Countable numerical values (e.g., number of coins).
- Continuous: Infinite numerical values (e.g., time).
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Qualitative (Categorical) Variables:
- Binary: Two categories (e.g., male/female).
- Nominal: Multiple categories without specific order (e.g., housing types).
- Ordinal: Ordered categories (e.g., satisfaction levels).
- Confounding variables are extraneous factors that can bias results by influencing both independent and dependent variables.
- Extraneous variables are any factors that could unintentionally impact study results.
Specific Research Questions
- Descriptive Research: Begins with questions like "How often", "How many", "What is/are", and "What percentage".
- Correlational Research: Focuses on the relationships, such as "What is the relationship between the length of the review and examination scores?" and "Is there a relationship between IQ and performance in review sessions?"
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Description
This quiz covers the strengths and weaknesses of quantitative research, focusing on its generalizability, replicability, and data analysis. It is designed to help students prepare for their midterm examination in practical research. Understand the critical aspects that define quantitative research methodologies.
