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What Are the Benefits of Quantitative Research in Health Care?

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❶There must be controls in place to help remove the potential for bias so the data collected can be reviewed with integrity.

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2/11 Advantages and Disadvantages of Qualitative Data Analysis
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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.

A big advantage of this approach is that the results are valid, reliable and generalizable to a larger population. 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.

While quantitative research methods work well in the laboratory under tightly controlled conditions, measuring phenomena like human behavior in natural settings is trickier. Survey instruments are vulnerable to errors such as mistakes in measurement and flawed sampling techniques.

Another disadvantage is that quantitative research involves numbers, but some topics are too difficult to quantify in numbers. For example, constructing an effective survey with closed-ended questions about how people fall in love would be difficult. Qualitative research is often used to conduct social and behavioral studies because human interactions are more complex than molecular reactions in a beaker.

Subjectivity, nonrandom sampling and small sample size distinguishes qualitative research from quantitative research. A big advantage of qualitative research is the ability to deeply probe and obtain rich descriptive data about social phenomena through structured interviews, cultural immersion, case studies and observation, for instance.

Examples include ethnography, narratives and grounded theory. Qualitative studies often take more time to complete due to the pain staking nature of gathering and analyzing field notes, transcribing interviews, identifying themes and studying photographs, for instance. Studies are not easily replicable or generalizable to the general population. Lacking rigorous scientific controls and numerical data, qualitative findings may be dismissed by some researchers as anecdotal information.

A mixed method approach capitalizes on the advantages of the quantitative and qualitative methods while offsetting the drawbacks of each. 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 means the scope of data gathering can be extremely limited, even if the structure of gathering information is fluid, because of each unique perspective.

Difficult decisions may require repetitive qualitative research periods. The smaller sample sizes of qualitative research may be an advantage, but they can also be a disadvantage for brands and businesses which are facing a difficult or potentially controversial decision.

A small sample is not always representative of a larger population demographic, even if there are deep similarities with the individuals involve. This means a follow-up with a larger quantitative sample may be necessary so that data points can be tracked with more accuracy, allowing for a better overall decision to be made.

Unseen data can disappear during the qualitative research process. The amount of trust that is placed on the researcher to gather, and then draw together, the unseen data that is offered by a provider is enormous. The research is dependent upon the skill of the researcher being able to connect all the dots. If the researcher can do this, then the data can be meaningful and help brands and progress forward with their mission. If not, there is no way to alter course until after the first results are received.

Then a new qualitative process must begin. Researchers must have industry-related expertise. You can have an excellent researcher on-board for a project, but if they are not familiar with the subject matter, they will have a difficult time gathering accurate data. For qualitative research to be accurate, the interviewer involved must have specific skills, experiences, and expertise in the subject matter being studied. They must also be familiar with the material being evaluated and have the knowledge to interpret responses that are received.

If any piece of this skill set is missing, the quality of the data being gathered can be open to interpretation.


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Benefits of Qualitative Research Qualitative research simply represents methods or principles that are believed to affect science of human world. It assumes that there is a relationship between attitude and behavior in regards to human science.

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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.

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Qualitative research is a strategy for going beneath the surface. It yields a holistic overview of consumer behavior which provides insights into emotions and motivations. It is important that we understand not only the definition of qualitative research, but also the advantages of it for companies.

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Qualitative research data is based on human experiences and observations. Humans have two very different operating systems. One is a subconscious method of operation, which is the fast and instinctual observations that are made when data is present. What Are the Benefits of Quantitative Research in Health Care? by Alan Valdez - Updated September 26, Most scientific research will follow one of two approaches - it can be either qualitative or quantitative.