Questions and Answers
What is a characteristic of quantitative research?
Which of the following is a disadvantage of quantitative research?
How does quantitative research typically handle variables?
What is a potential limitation of the sample used in quantitative research?
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In what way does quantitative research establish relationships between variables?
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What is one of the advantages of utilizing large samples in quantitative research?
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What is an important application of quantitative research in the field of education?
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What is a common issue with preset answers in quantitative research?
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What is a primary benefit of using quantitative research in business?
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How does quantitative research impact medical and health care?
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What are continuous variables in the context of quantitative research?
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Which of the following describes a covariate variable?
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In a bivariate study, how many variables are analyzed?
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What type of variable can assume any whole number value within given limits?
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Which option correctly defines a univariate study?
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What role do predictor variables play in non-experimental studies?
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Which type of variable is characterized by having values that can be logically ordered or ranked?
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What is the primary purpose of a research title?
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Which of the following is an example of a dichotomous variable?
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What must a research title include according to the guidelines?
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Which type of variables consist of categories that cannot be ranked in a logical sequence?
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Which of the following is NOT a characteristic of a good research title?
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What is an example of a polychotomous variable?
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Which type of variable is primarily manipulated in an experiment?
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Study Notes
Nature of Quantitative Research
Characteristics of Quantitative Research
- Reliable and objective methodology for research.
- Utilizes statistics for generalizing findings across a larger population.
- Simplifies complex problems to a manageable number of variables.
- Investigates relationships between variables to establish cause and effect, often in controlled environments.
- Tests theories or hypotheses through systematic approaches.
- Assumes representativeness of the sample relative to the population.
- Subjectivity in methodology is less of a concern compared to other research types.
- Focuses on the details of the subject rather than broader context.
Disadvantages of Quantitative Research
- Contextual factors may be overlooked, lacking consideration for the natural settings of studies.
- Larger sample sizes can increase resource and time demands on researchers.
- Results often rely on numerical analysis, potentially neglecting rich qualitative insights.
- Provides limited narratives on human perceptions and experiences.
- Rigor in experimental control may not accurately reflect real-world circumstances.
- Fixed alternatives may not capture the true feelings or responses of participants.
- Findings may be influenced by the researcher’s perspective, especially with unknown participants.
Advantages of Quantitative Research
- Enables measurement and detailed analysis for objective answers to research questions.
- Generally yields reliable results due to large sample sizes.
- Employs established standards for instrument selection, sampling, and statistical treatment, promoting replicability.
- Reduces personal biases by minimizing direct interaction between researcher and subjects.
- Streamlines processes, making quantitative research systematic and straightforward.
- Interpretable findings through statistical analysis facilitate concise conclusion and reporting.
Importance of Quantitative Research in Different Fields
- Education: Measures performance levels of students and teachers; assesses method and program effectiveness.
- Business: Enhances marketing strategies; informs company decisions regarding products and services.
- Medical and Health Care: Provides statistics on patient recovery rates; evaluates the efficacy of treatments and vaccines.
- Sciences: Promotes accountability and responsible operations in technological experiments.
Classifications of Variables
Types of Numeric Variables
- Continuous Variables: Can take any value within a given range; examples include time, height, and weight.
- Discrete Variables: Only assume whole values; examples include counts such as the number of cars or students.
Categorical Variables
- Ordinal Variables: Can be ranked; examples include academic grades and clothing sizes.
- Nominal Variables: Cannot be logically ordered; examples include types of businesses and hair colors.
- Dichotomous Variables: Represent two distinct categories; examples include gender (male/female).
- Polychotomous Variables: Have multiple categories; examples include levels of education or performance ratings.
Experimental Variables
- Independent Variables: Manipulated variables within an experiment to assess their effect on other variables.
The Research Title
- Should encapsulate the paper's main idea and include major variables.
- Must be concise while showing relationships among key variables.
- Should specify the participants involved in the study.
Title Elements
- Main Task
- Major Variables
- Topic
- Participants
- Setting
- Outcomes
Reminders for Title Creation
- Avoid using terms like "METHOD," "RESULT," or "INVESTIGATIONS."
- The general problem can serve as the thesis title when reformulated into a statement.
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Description
Explore the characteristics and disadvantages of quantitative research through this informative quiz. Understand its methodological reliability and statistical applications, while also considering potential limitations in context and qualitative insights. This quiz is essential for students of research methodologies.
