Do you want to start your final project and don’t know what the data types with writing a dissertation? Don’t worry. In this blog, we will discuss all the valuable things for doing a research project with multiple data types. Students are primarily in their sixes and sevens when using appropriate data for their research. Today, we will help you choose the right research data type for dissertation writing. Let our experts provide you with time-tested tips for dissertation writing. Let’s start!
Technically, there are two data types for dissertation writing. One is the qualitative research data, and the second is the quantitative research data. They both have advantages and disadvantages but are fairly common in use.
Qualitative data deals with research based on non-statistical results. It’s the most common form of data gathering and finding patterns. Typically qualitative data is used in the field of humanities and literature.
On the other hand quantitative research method involves rigorous investigation and collecting numerical results. Statistical results deriving from this method are considered valid and rich in authenticity.
Although these two types of data methods are used extensively and provide help in writing dissertations, they also have disadvantages. Here we will discuss how to use these two research methods and their benefits and disadvantages.
The quantitative data-gathering method is used for scientific research where numerical representation is of cardinal importance. All subjects under the umbrella of science use a quantitative set of rules. Some of the prominent fields of science that rely on quantitative research are as follows;
There are many benefits of using quantitative methods for your research. First of all, it helps write a dissertation objectively and avoids adding biases to a writer about the topic. Secondly, fewer mistakes and personal opinions are involved; hence, your dissertation is based on concrete results. Lastly, this data type is considered authentic and helps you present the results in empirical form, further helping readers to understand the objective.
Although there are many benefits of this research method type, there are many disadvantages that students must know. The first one students may find troublesome is the limitations of interpretation. Quantitative research may not adequately provide answers in a cultural, behavioral, or social study. Secondly, this data analysis type requires a large sample that can present accurate results.
Moreover, a quantitative study is costly and cannot be completed in low-budgeted colleges or universities. Setting parameters and benchmarks for data collection and refining also brings new challenges for university students. Hence, this research type is only suited for larger projects where it’s imminent to get the research results.
Qualitative research is used for getting non-statistical data from your investigation. It’s a widely used method for a variety of disciplines. This study method focuses on observations, opinion-based surveys, and open-ended questions. All non-scientific subjects encourage the use of this data type. Subjects or topics highly suitable for this data gathering are mentioned below.
There are many advantages to using it in writing a dissertation. The most significant benefit is the flexibility of the research design. You may add, remove or upgrade the results as more information becomes available. Secondly, it helps you interpret various or differing attitudes, views in a social experiment. You may ask multiple questions on the same research to have diverse and varying results.
Furthermore, acquiring this data type from a small proportion of a population or sample is easy and feasible. Since this research type requires fewer tools or assistance, it can be completed on less budget than the quantitative method.
Qualitative research is also flawed, with many disadvantages. The first issue that nullifies its advantages is a subjective interpretation of the results. A writer or researcher may add results presenting their opinion that might not be based on facts or strong evidence. Being prone to the subjective nature of results, these researches are labeled inconclusive.
Secondly, these studies are only feasible in a small population or sample size. Conducting qualitative research with a larger sample makes it time-consuming and costly. Lastly, the data acquired through this method is inconclusive and based on opinions and observations. Both of these parameters change over time, making it time-sensitive and invalid for future perspectives.
Students, we have provided you with all the tips for dissertation writing. Hopefully, our experts have answered your query about what are the data types for writing a dissertation. Read the advantages and disadvantages and choose the data-gathering methods for your final project accordingly.
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