What is quantitative–non–experimental research desiggn?
Research Question
Academic Insights
Quantitative non-experimental research design primarily involves observational studies where the researcher does not manipulate the independent variable but rather observes and measures variables as they naturally occur.
Key Insights
- Classification and Types:
- Quantitative research designs are broadly classified into experimental and non-experimental designs. Non-experimental designs are predominantly observational and include descriptive (e.g., case series, case-control) and analytical (e.g., case-control, retrospective, cross-sectional) studies .
- Features and Applications:
- Non-experimental designs are used when randomization or control groups are not feasible due to ethical or practical reasons. They are less complex and have low error propagation but are vulnerable to threats to internal validity .
- Role in Research:
- These designs play a significant role in the decision-making process for data collection mechanisms and are vital for verifying the credibility of quantitative research methodologies .
Conclusion
Quantitative non-experimental research designs are essential for observational studies where manipulation of variables is not possible, providing a credible framework for data collection and analysis despite certain limitations in internal validity.
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Related Questions
- What are the key features of quantitative research?
- How does non-experimental research differ from experimental research?
- What are some examples of quantitative non-experimental studies?
- What methods are commonly used in quantitative non-experimental research?
- What are the advantages and disadvantages of this research design?
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