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❶For an accurate estimate of the relationship between variables, a descriptive study usually needs a sample of hundreds or even thousands of subjects; an experiment, especially a crossover, may need only tens of subjects.

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Thank you for making me to understand the difference between qualitative Research and quantitative research. Thanks a lot for the insightful distinction between Qualitative and Quantitative research. However, the differences as you enumerated did not factor in the advantages and disadvantages of both research tools.

My special thanks goes to Camilo Tabinas for suggesting that the difference between quantitative and qualitative research method stems from the roots of quantity and quality. Quantitative approach stems from the ontological view that objective reality exist independently of human perception Slevitch, Qualitative and quantitative methodologies compared: Ontological and Epistemological Perspectives.

Journal of Quality Assurance in Hospitality and Tourism, 12, Qualitative research is inductive , descriptive research, how ever some researcher use both inductive and deductive depends on the nature and purpose of the research the hyposis you intend to examine. Where quantitive research is statistical numerical based research empirical. Keep it up GOOD people! I am grateful about how qualitative and quantitative differences have been defined in the research field.

Thank you very much for the difference of quantitative and qualitative research methods they are well elaborated.

I am Wondering to know the difference of how they conduct interview in both Qualitative and Quantitative methods what are the difference in conducting such interviews or Focus groups? What are the methods of analyzing data in quantitative research? Thanks so much for the answer. Ideally, the research should be constructed in a manner that allows others to repeat the experiment and obtain similar results. When to perform the quantitative research design. Quantitative research design is an excellent way of finalizing results and proving or disproving a hypothesis.

The structure has not changed for centuries, so is standard across many scientific fields and disciplines. After statistical analysis of the results, a comprehensive answer is reached, and the results can be legitimately discussed and published. Quantitative experiments also filter out external factors, if properly designed, and so the results gained can be seen as real and unbiased.

Quantitative experiments are useful for testing the results gained by a series of qualitative experiments, leading to a final answer, and a narrowing down of possible directions for follow up research to take.

Quantitative experiments can be difficult and expensive and require a lot of time to perform. They must be carefully planned to ensure that there is complete randomization and correct designation of control groups. Quantitative studies usually require extensive statistical analysis, which can be difficult, due to most scientists not being statisticians. The field of statistical study is a whole scientific discipline and can be difficult for non-mathematicians.

In addition, the requirements for the successful statistical confirmation of results are very stringent, with very few experiments comprehensively proving a hypothesis ; there is usually some ambiguity, which requires retesting and refinement to the design. This means another investment of time and resources must be committed to fine-tune the results. Quantitative research design also tends to generate only proved or unproven results, with there being very little room for grey areas and uncertainty.

For the social sciences, education, anthropology and psychology, human nature is a lot more complex than just a simple yes or no response. Check out our quiz-page with tests about:.

Some methodologies are rarely used for certain research topics. You may need to broaden your search topic to find a study that uses your methodology. Many articles and dissertations will include methodology terms in the abstract or title.

This will provide detailed information about the methodology used. Type your terms into the first search box.

Type your other keyword term into the second search box For example: Watch a video showing how to search for a quantitative article in the Library databases: How do I find a qualitative article? Toggle action bar FAQ Actions. Print Tweet Share on Facebook Help us do better. Powered by Springshare ; All rights reserved.

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In natural sciences and social sciences, quantitative research is the systematic empirical investigation of observable phenomena via statistical, mathematical, or computational techniques. These studies do not provide reasoning behind participants' responses, they often do not reach underrepresented populations, and they may span long.

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The overarching aim of a quantitative research study is to classify features, count them, and construct statistical models in an attempt to explain what is observed. Things to keep in mind when reporting the results of a study using quantitative methods.

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Quantitative research design is an excellent way of finalizing results and proving or disproving a hypothesis. The structure has not changed for centuries, so is . Introduction to quantitative research What is quantitative research? Research methods in education (and the other social sciences) are often seen as the most important part of quantitative studies. This is a bit of a misconception, as, while using the right data analysis tools obviously mat-.

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The following search uses Thoreau, our multi-database search tool, to find examples of quantitative research studies. However, you can search in any article or dissertation database for quantitative studies. Quantitative research designs are either descriptive (subjects usually measured once) or experimental (subjects measured before and after a treatment). A descriptive study establishes only associations between variables.