Qualitative and quantitative methods are popular types of data collection. The first one shares the thoughts and views of people. In contrast, the second one reports the behavior of a large sample. Quantitative data consists of numerical numbers. It increases understanding of the social world. It also helps in attaining wider knowledge. Researchers use it for observing the effects of various events. It presents a clear picture of the data. The data enables you to generalize the findings for a large population.

Researchers use specific tools to collect the data. They collect from a large sample of the population. This sample represents the population in general. Researchers collect the data with a specific aim. They gather data to generate answers to the research questions. The use of quantitative data in the dissertation has significant importance. It gives sound results. It is not based on the feelings of people. You use a numeric approach to gather data. It is a good approach to exclude any human biases. The use of quantitative data has many benefits. In this article, we share some core benefits of using it within a dissertation.

Bigger Sample:

We can apply it to the bigger sample. At times we want to collect data from many people. But this is not possible in the qualitative approach. We can collect a large amount of data in the quantitative approach. Having a large amount of data doesn’t affect its results. Instead, it improves the validity of the results. We can generalize its results because of the bigger sample. It increases the worth of a study as well. This is because people consider it on a greater scale. For example, one study collects data from one university. At the same time, another study collects the data from all universities of the city. Which results are more acceptable for you? This is a core benefit of using the quantitative data method within the dissertation. So if you want to study a bigger population, you should use the quantitative data approach.

Accuracy:

Quantitative data helps in allocating accurate results. This is because we use exact information for this approach. Many times you collect data using surveys. In surveys, you provide specific options to the sample population. You limit their answers to a few options. You don’t count the feelings, and emotions of the people in a quantitative data approach. Your study covers the relationship of certain variables. So it is essential for you to collect data on these variables. Analyze the data, and share the results. Researchers use this approach to find the exact results. They can also use quantitative data for showing the relationship between variables.

Time-saving:

It save a lot of time for the researcher. They can collect data from different people at the same time through this approach. They can also collect a large amount of data in less time. They use technology to conduct surveys. In this way, they collect data from different places at the same time. It makes their work effective. Like qualitative data, they don’t have to spare a large amount of time on a specific aspect. Students have limited time for completing their dissertations. Quantitative data collection saves a lot of time. It also enables them in conducting the study on a larger scale. They can’t do this by collecting qualitative data. This is because of the lengthy process of data collection. This approach of quantitative data makes the work easy for students. They can save a large amount of time by adopting this approach in general.

Save Cost:

According to a dissertation writing service, data collection is a lengthy process. You have to bear its costs in different forms. But you can save a large amount of money by using a quantitative approach. You save traveling costs that you have to bear. You don’t need to spend on refreshments for the interviewee/s either. You can make digital tools and share them through the mail. Respondents can respond to you at their ease. You can collect many responses in a short time. In this way, you can save your costs by opting for quantitative data. You save a large amount of money along with your precious time. You also save yourself from the tiredness of visiting different people. It is also difficult to listen to people for hours. The quantitative approach ensures your ease by relieving you of these aspects.

Acceptance:

People consider stats valuable. So they accept the results of quantitative data. People don’t raise objections against them. These numbers are free from the effects of human emotions. But people can raise objections against qualitative data. They claim that it cannot cut the researcher’s biases. People give value to the results of quantitative data. Researchers collect it to increase the acceptance of their work. Many journals give importance to quantitative papers too. Most of the students want to publish their work. Using quantitative data increases their chance of publication.

Replication:

Quantitative data allows you to replicate the work. Students may observe a vital study conducted by someone else. They want to replicate it in their context. They can replicate the work of others without hesitation. Students can use the tools of another study to collect data. They can replicate studies in different countries, or industries. For example, the student views a study on performance management in the context of China. He/she can replicate it in the UK by using varied tools. Many researchers replicate the works of others. It is ethical to replicate the work of others. But this should be done through one’s own context. Ethical replication does not mean simply copying someone else’s work.  Students lack time to find new topics. They can replicate the work of others to save their time and effort. Quantitative data is ready to ease them in this aspect.

Conclusion:

Many researchers use quantitative data for their research. This approach has many benefits that attract them. They use it to collect large amounts of data. A large amount of data increases the research’s worthiness. It also provides accurate results. It does not include the effect of researcher biases. It saves the time, and cost of the researchers too. People accept the results of such studies with ease. This is because the quantitative numbers increase a research’s worthiness. It is also easy to replicate the work of others. Hence, quantitative data has many benefits in writing a dissertation. Under this context, students can use it to complete their work on time.

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