Questions and Answers
What is the primary focus of quantitative research?
In analyzing data, which method is typically used in quantitative research?
Which characteristic distinguishes quantitative research from qualitative research?
What is a key goal of quantitative research?
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Which statement about the sample size in quantitative research is accurate?
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What is a key characteristic of structured research instruments in quantitative studies?
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What is the primary purpose of employing large sample sizes in quantitative research?
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Which statement best describes the role of statistical analysis in quantitative research?
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Why is hypothesis testing significant in quantitative research?
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What aspect of quantitative research is facilitated by its structured methodology?
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Study Notes
Overview of Quantitative Research
- Quantitative research involves systematic investigation that quantifies relationships, behaviors, or phenomena using statistical, mathematical, or computational techniques.
- Widely applied in social sciences, health sciences, and market research, emphasizing objective measurement of variables and numerical data analysis.
Main Goals
- The primary goal is to confirm or test a theory or hypothesis.
- Unlike qualitative research, which seeks to understand or explore ideas, quantitative research is hypothesis-driven.
Key Features of Quantitative Research
- Hypothesis Usage: Quantitative research utilizes hypotheses, while qualitative does not.
- Analysis Method: Data analyzed statistically using methods like Spearman’s Rho, Pearson’s R, ANOVA, and Chi-square.
- Sample Size: Requires large samples to ensure generalizability and enhance external validity.
Research Instruments
- Utilizes closed-ended questions in data collection through structured instruments such as surveys and questionnaires.
- Ensures consistency and accuracy in gathering quantifiable data.
Objective Measurement
- Aims for objectivity, minimizing researcher bias, and ensuring replicability of results through reliable instruments and procedures.
Statistical Analysis
- Collected data undergoes statistical analysis to identify patterns, relationships, or trends, crucial for hypothesis testing and making inferences about the broader population.
Hypothesis Testing
- Researchers start with a specific hypothesis and employ statistical techniques to evaluate its validity.
Replication
- The structured methodology allows other researchers to replicate studies, verifying results and establishing reliability.
Data Presentation
- Results are visually represented through tables, graphs, and charts, aiding in data summarization and interpretation.
Generalizability
- Findings can often be generalized to a larger population due to random sampling techniques and the employment of large sample sizes.
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Description
Explore the key concepts of quantitative research as outlined in Practical Research 2 by Jeffrey P. Paris. This systematic approach focuses on quantifying relationships and analyzing numerical data through various statistical methods. Discover how this research type is utilized across social sciences, health sciences, and market research.
