Last Updated on March 10, 2021 by Filip Poutintsev
The gathering of visible data to retort a research question utilizing mathematical, computational, or statistical methods is known as quantitative research, which, when compared to qualitative research, is much more valuable and accurate.
Information about numbers and quantities falls under quantitative research. This research utilizes mathematics, analytical methods, and statistical models for constructing and engaging unique concept philosophies or postulates.
Unlike qualitative actions, quantitative outcomes can be measured. The work takes a methodical approach and is based on an empirical study of measurable anomalies. This research produces a projectable outcome that extends to the broader population.
Unlike the subjective descriptions offered in qualitative research, quantitative research describes systematic relationships between cause and effect and if those involved in the study have identified the problem, it may be possible to identify the factors associated with the issue as well as the underlying causes of the problem.
Relationships that are numerical and measurable are looked at through quantitative research, which is widely utilized in proving the correctness of a hypothesis in marketing, sociology, and psychology. Quantitative research takes the first steps in finding the facts, instead of depending upon their instincts, and only then suggests the results of what is deemed to be the scientific method.
Pros and Cons of Quantitative Research
Irrespective of the research method, there are merits and demerits of any technique used and before utilizing quantitative research everyone should be aware of its benefits and its cons, some of which are presented below.
Advantages of Quantitative Research
A business, if it utilizes quantitative research, attains the following benefits
1. Company’s Self Esteem
Quantitative research comprises complex data analysis and statistics which, because of its difficulty in understanding the associated mathematics for most individuals, is believed to be impressive and priceless. This research technique, if utilized by any business, is highly reflective of its value and esteem.
2. Rapid Data Collection
The collection of data, in this case, using quantitative research methods is done in real-time to allow for the immediate occurrence of numerical scrutiny. With limited delays in resource attainment, correlations are found, which ultimately clues to a convenient deduction.
3. Randomized Models
Quantitative research utilizes randomized models for attaining data–which eliminates the appearance of favouritism in the majority of cases. Hence, this method grants the benefit of ensuring that the acquired information is available statistically to the remaining understudy populations.
4. Forthright Scrutiny
When collecting quantitative data, the results denote the suitability of the numerical tests to be performed, thus indicating the scrutiny required to be forthright and limiting the chances of subjectivity and error.
5. Repeatable and Trustworthy
The validity of the data from the quantitative study remains the same regardless of multiple examinations ensuring the repeatability of the attained facts. Additionally, the obtained info can end up being trustworthy, offering assurance throughout the decision-making process, and potentially even in the future.
6. Anonymous Research
Quantitative research’s anonymous nature enhances its worth in the collection of data because with promises of feedback not affecting them in the future, people tend to lean towards providing an authentic viewpoint.
Disadvantages of Quantitative Research
The use of quantitative research brings forth some of the following cons, and consideration of these cons is mandatory for leading effective research. Here are the cons:
1. Insecure Answers
Quantitative methods are mandated to operate assuming the results achieved from experiments and surveys are true since the presence of any face-to-face encounters using this approach is to no avail, which thus implies the insecurity of the answers’ truthfulness.
2. Peculiar Situation
Quantitative research can sometimes lead to results that are very different from those exposed in real-life samples because of the need to operate under circumstances unique to the group. This opens up the possibility for researchers to manipulate the outcomes regardless of the samples being randomized.
Consideration of quantitative research should not be made if one’s prime concern while conducting research is the price associated with it, since the procedure, and the outcome of this research comes at a price higher than expected.
4. No Follow-Up
One of the major limitations of quantitative research is that it doesn’t permit any follow-up to the answers presented by the participants. Once the survey is filled out by the participants, you are not permitted to return to them to answer your query.
5. Wrong Deduction
Regardless of the quantitative research being believed to be more scientific than qualitative research due to its association with the statistics, there may still be some factors leading the research to be misleading and subjective. The researchers’ biases and opinions are major factors in affecting the data collection of quantitative research.
6. Conclusion Not Specific to the Overall Populace
The use of randomized models isn’t guaranteed to be applicable to the overall populace and the risk of drawing a wrong deduction rises because of the use of random sources to acquire that information. Since not every individual takes part in the survey, the deduced outcomes can only be true of those who participate.
Finally, in most physical and biological disciplines, conducting quantitative analysis is unquestionably a necessary part of the process of determining the outcome of a given situation. This methodology is also contrasted with qualitative approaches, since it applies the same facts, but with different results.
Depending upon the suitability of the choice, either one of these research methods is used. The use of the quantitative method in the social sciences where personality is often more important than statistical data is more controversial.
The use of quantitative research is done to grant a detailed and measurable expression to the qualitative ideas, after which the conclusions drawn from the quantitative approach’s statistical analysis are understood using qualitative methods.
Thus, this is the reason for evaluating the quantitative analysis’s merits and demerits every time it becomes appropriate to collect data, which then aids us in concentrating on evidence rather than belief in ensuring its repeatability.