Questions and Answers
What is Quantitative Research?
It is a structured way of collecting and analyzing data obtained from different sources using computational, statistical, and mathematical tools.
Which of the following is a characteristic of Quantitative Research? (Select all that apply)
Quantitative researchers seek explanations and predictions that can be generalized and replicated.
True
In Quantitative Research, data are often arranged in ______, charts, figures, or other non-textual forms.
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What is the significance of sample size in Quantitative Research?
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What type of answers does a Quantitative Researcher seek?
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What does reliability in research instruments refer to?
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Quantitative research is characterized by its subjectivity.
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Study Notes
Introduction to Quantitative Research
- Knowledge across subjects often remains incomplete, with unresolved problems formulating the basis for research inquiry.
- Quantitative Research is the systematic investigation of social phenomena through mathematical and statistical tools to derive answers.
- The approach is structured, focusing on the collection, analysis, and interpretation of numerical data to explain patterns and relationships in a generalizable manner.
Characteristics of Quantitative Research
- Structured Instruments: Data is collected using reliable instruments such as questionnaires, standardized tests, and laboratory tests, ensuring consistency and accuracy.
- Sample Size: Studies often use larger sample sizes that represent the broader population. For instance, Social Weather Stations (SWS) uses a sample of around 1,200 people to reflect the sentiments of over 106 million Filipinos, emphasizing the importance of representativeness in findings.
- Replicability: High reliability means that quantitative research can be replicated, demonstrating consistency across different studies. Example: SWS consistently measures public sentiment entering the new year and records consistent findings over time.
- Defined Research Questions: Research questions are clearly defined, allowing objective answers based solely on numerical data rather than personal beliefs or biases.
- Hypothesis Testing: Research often tests hypotheses, which are formal statements predicting relationships among measurable variables, such as exam scores or study hours.
- Numerical Data Presentation: Data is reported in numerical formats, including charts, tables, and graphs, allowing for clear visualization and comprehension of findings.
- Generalization and Prediction: Quantitative studies can generalize concepts more broadly while predicting outcomes or investigating causal relationships between variables.
Application of Quantitative Research
- Variables are critical to quantitative research, representing measurable aspects of a phenomenon (e.g., age, income, exam performance).
- Example variables can include demographic details, psychological traits, and physical measurements, offering a diverse range for investigation.
- Quantitative methods allow researchers to formulate valid, general assertions about populations based on statistical evidence, thereby contributing to theory and expanding knowledge in various fields.
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Description
Explore the fundamentals of Quantitative Research in this introductory lesson. Learn how systematic empirical investigation helps us address unknowns in various subjects by applying mathematical and statistical tools. This quiz will test your understanding of the key concepts presented.
