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Benefits Of Quantitative Research

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❶Data complexities can be incorporated into generated conclusions. Quantitative research is advantageous for studies that involve numbers, such as measuring achievement gaps between different groups of students or assessing the effectiveness of a new blood pressure medication.

What Is the Meaning of Quantitative Techniques?

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Also, qualitative experiments eliminate external factor, so the findings remain reliable and unbiased. Qualitative experiments also are beneficial for analyzing the results obtained after a series of experiments. Once research has been done, data analysis is possible to determine whether it is reliable or not. Qualitative methods not only help provide explanations of complex phenomena, but are also beneficial in evolving or creating conceptual bases or theories, and in recommending hypotheses to explain the phenomena.

Besides, the value of any qualitative research is to provide valid results which are only possible after extensive research. Qualitative research encourages individuals to expand their responses when given topic not initially deliberated. Qualitative research provides more content for creatives and marketing teams. When your job involves marketing, or creating new campaigns that target a specific demographic, then knowing what makes those people can be quite challenging.

By going through the qualitative research approach, it becomes possible to congregate authentic ideas that can be used for marketing and other creative purposes. This makes communication between the two parties to be handled with more accuracy, leading to greater level of happiness for all parties involved. Attitude explanations become possible with qualitative research. Consumer patterns can change on a dime sometimes, leaving a brand out in the cold as to what just happened.

Qualitative research allows for a greater understanding of consumer attitudes, providing an explanation for events that occur outside of the predictive matrix that was developed through previous research.

The quality of the data gathered in qualitative research is highly subjective. This is where the personal nature of data gathering in qualitative research can also be a negative component of the process.

Having individual perspectives and including instinctual decisions can lead to incredibly detailed data. It can also lead to data that is generalized or even inaccurate because of its reliance on researcher subjectivisms.

Data rigidity is more difficult to assess and demonstrate. Because individual perspectives are often the foundation of the data that is gathered in qualitative research, it is more difficult to prove that there is rigidity in the information that is collective. The human mind tends to remember things in the way it wants to remember them. That is why memories are often looked at fondly, even if the actual events that occurred may have been somewhat disturbing at the time.

This innate desire to look at the good in things makes it difficult for researchers to demonstrate data validity. Mining data gathered by qualitative research can be time consuming. The number of details that are often collected while performing qualitative research are often overwhelming. Sorting through that data to pull out the key points can be a time-consuming effort. It is also a subjective effort because what one researcher feels is important may not be pulled out by another researcher.

Unless there are some standards in place that cannot be overridden, data mining through a massive number of details can almost be more trouble than it is worth in some instances. Qualitative research creates findings that are valuable, but difficult to present.

Presenting the findings which come out of qualitative research is a bit like listening to an interview on CNN. The interviewer will ask a question to the interviewee, but the goal is to receive an answer that will help present a database which presents a specific outcome to the viewer. We need to pass a law to change that. What a research gleans from the data can be very different from what an outside observer gleans from the data.

Data created through qualitative research is not always accepted. Because of the subjective nature of the data that is collected in qualitative research, findings are not always accepted by the scientific community.

A second independent qualitative research effort which can produce similar findings is often necessary to begin the process of community acceptance. Researcher influence can have a negative effect on the collected data.

The quality of the data that is collected through qualitative research is highly dependent on the skills and observation of the researcher. If a researcher has a biased point of view, then their perspective will be included with the data collected and influence the outcome.

There must be controls in place to help remove the potential for bias so the data collected can be reviewed with integrity. Otherwise, it would be possible for a researcher to make any claim and then use their bias through qualitative research to prove their point. Replicating results can be very difficult with qualitative research. The scientific community wants to see results that can be verified and duplicated to accept research as factual.

In the world of qualitative research, this can be very difficult to accomplish. Not only do you have the variability of researcher bias for which to account within the data, but there is also the informational bias that is built into the data itself from the provider. This is often used to test hypothesis in experiments, for statistical analysis, and for outsized scale surveys like census.

Similar with other researchers, you need to know first how this quantitative research works. Before using this method, it is best to understand its pros and cons. This type of research is numerical. This allows you to investigate the same situation to know the investigation with the same quantitative method. You can also compare its results.

In quantitative research, you are giving a chance to use statistics. The forms of statistical data analysis permit you to understand a huge amount of essential characteristics of the data. The data in quantitative research can be analyzed in a fast and easy way. With the use of statistically valid random models, a survey can immediately be generalized to the whole residents.

With reliable details provided in the quantitative research, a trusted group of statistics can offer assurance when creating future plans.

What Is Quantitative Research?

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Selecting the best research method allows you to successfully answer a research question or test a hypothesis. Missteps at the onset of the research process may derail an otherwise promising study. Knowing the advantages and disadvantages of quantitative and qualitative methods will help you make a.

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Benefits Of Quantitative Research 1. Summarize large information. The use of standard means in quantitative research means 3. Eliminates bias. An important reason why most researchers opt for quantitative research is 4. Finalizes results. Quantitative research is a great method to finalize results.

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Quantitative research provides clear statistical data for inference and supports larger sample sizes which translates to more generalizability over the population being studied. A disadvantage is that because it is statistical based, quantitative research provides a less personal accounting of a given lived experience. Learn about the advantages and disadvantages of quantitative research and how and when to use it versus qualitative methods in market research. Learn about the advantages and disadvantages of quantitative research and how and when to use it versus qualitative methods in market research.

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Qualitative research is a general term pertaining to investigative methodologies and techniques described as naturalistic, ethnographic, field, anthropological or observer research. This type of research gives emphasis on the value of looking on variables in their natural setting where they are commonly found. A: Quantitative methods are advantageous because they allow researchers to conduct a broad survey, which involves many subjects and generalization of findings. They also yield accurate results. On the other hand, quantitative methods are rigid and provide less detail on the motivation, attitudes and behavior of study subjects.