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Qualitative research always focuses on "why" rather than "what". It is a process of naturalistic questioning that seeks comprehension of social phenomena. It relies on the first-hand experience of the people. Qualitative research does not interpret through statistical and logical procedures and uses different inquiry systems. Such systems include case study, biography, grounded theory, discourse analysis and phenomenology. The critiquing qualitative research designs are about their' small scale and biasness. In qualitative research critique, the collection of small samples is on the top. These samples cannot represent the larger population. The impact of such insufficient samples is on the generalizations of outputs. At the same time, it is difficult to consider how the findings are biased

Defining objectives in a dissertation is a vital part of it. Why? Objectives provide structure and clarity of expectations from the dissertation. Also, the objectives are very much related to the data analysis of your dissertation. How? While collecting data for your dissertation and analysing that data for final results, you are actually moving towards achieving the pre-defined set of objectives. In this way, the definition of objectives plays an important in data analysis. This definition dictates the whole analysis process as your ultimate goal is to achieve the defined objectives once the analysis is completed.

Academic research is a difficult nut to crack. Why so? It is because you have to take care of different styles and traits of this research, e.g., precision and objectivity. Nowadays, academic research is expanding each day, and with its expansion, it has become imperative for researchers to learn about different traits of writing. Today's article will discuss the two most important traits, precision and objectivity. There will be a discussion on the importance of both features of academic research. Today's article will also discuss how you can maintain

Data acquisition is the process of collecting data from a system or device for storage, analysis, assessment, and reporting. Data acquisition (DA) is responsible for setting up systems that collect real-time or historical data from equipment to measure their performance and to detect or anticipate problems. The data is collected in order to make documentation on assets, increase productivity, ensure regulatory compliance, and reduce costs of operation and maintenance. There are several types of data acquisition, but Data Warehouse and ETL systems get the most attention. Understanding what it does and does not is important to know. Here's a look at the different types along with some helpful software solutions to consider. This article will also help you understand what data acquisition is and why it's essential for companies

Data collection is the practice of gathering and measuring information on the variables of interest. Every research starts off with a set of pre-defined variables and research questions. Normally, the researchers collect two types of data to investigate the problem under study. One is called primary data collection, and the other is called secondary data collection. Both data collection methods employ different strategies and tools. Learning about those tools and techniques is essential for every researcher. Keeping its importance in view, today's guide is about tools and techniques being used worldwide for primary & secondary data collection. However, before jumping straight into those tools, let's define what data is and why it is necessary to collect it in research.

Deconstructing essays helps us grasp what makes good writing good and why some students struggle with achieving this skill. Before you begin the essay, you need to deconstruct it and take it on a part-by-part basis. The best way to start is by looking at some of the points which are discussed here.

So, you have written your academic research report? Great, nice to hear this from your mouth. Do you know what the next step you need to follow is? The next step is making your research findings authentic so they can enjoy a good readership. Now, many students do not have an idea about how to make academic research report findings authentic. Due to this, their reports fail badly and fail to enjoy a good readership. Keeping this in mind, today's article is all about guiding students like you about the ways to make the research findings authentic and reliable. However, before moving on toward those ways, let's discuss why is it important to make the findings authentic?

Why is there a conclusion or final thoughts heading at the end of each essay? Is it necessary to add this heading or not? So, such questions are bothering your mind, right? You do not need to tire your mind anymore. In today's article, I will talk about the necessity of writing a conclusion to your essay. Most students take this

Are you struggling to get all the material sorted for your research topic and unable to? Now you might be wondering where you went wrong. The main problem in these cases is that you have a broad topic covering various research areas. That is why you are unable to get your research sorted. Narrowing down a dissertation topic is required when writing a thesis statement. Your research topic must not be too broad as you will face many difficulties researching focused material. To narrow down your topic, you need to consider multiple factors. Research for a broad topic is a challenging task. Do not worry; this article will get you out of this predicament.

Have you ever used abbreviations in your academic assignments? I was sure your answer was going to be yes. It is because using abbreviations is very common in written English. But using them without proper knowledge is also becoming popular among students. Students unnecessarily are using abbreviations in their academic assignments nowadays, just not to write the full form. It is a wrong strategy, and it is why today's article is about explaining the use and types of abbreviations in academic assignments. But before moving on to that discussion, let's define the term abbreviation and give its brief importance.