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From elementary to high school and all the way up to university, writing skills are an essential part of an education. All students must be able to write 5 paragraph essay papers on a variety of topics. When you have to write your own essay, then it

Essay writing allows tutors to evaluate students' persuasive, research, and analytical skills. A well-written essay depicts ways a student recalled the information, techniques they used to clip different concepts together, and clarity in concepts necessary to synthesize information in a new way. In simple words, essay writing is a process of critically reflecting on an issue to extract a logical conclusion. Based on the purpose of writing an essay, the writer can choose any format from a broad spectrum of essays such as descriptive, persuasive,

Before finishing any degree, the university requires its students to submit a dissertation. The same is the case with the field of nursing. If you are a student of nursing, know that you cannot get your degree without writing a perfect and compelling nursing dissertation. You can only craft such a dissertation when you know all about its components. Do you know that? NO? Okay, do not worry, let me tell you: the first and the most important step in choosing a topic from hot nursing dissertation topics. Topic selection is the first step, and every other step

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.

You must meet a few prerequisites in order to choose a business management dissertation subject. The dissertation's topic serves as the basis for the entire project. The remainder of the construction will not last if the foundation is weak. Therefore, while choosing a topic, you must consider whether it is pertinent to your interests. Theoretical support might also come from a current, hot issue in business management. There are several sub-fields within the extremely broad

Data analysis is a practice that aims to make effective decisions after getting in-depth information related to any problem. The process of data analysis includes data collection, modelling and analysis. There are different methods of data analysis based on the type of research. The selection of a particular type of data analysis method is made based on the purpose of investigation. For example, the method of data analysis used for qualitative research is different from quantitative research. The methods used for quantitative research do not work well in qualitative research. Furthermore, the procedure of data analysis also has different steps that assist in finding the best results. As per its importance, this article aims to discuss different methods and procedure of data analysis in detail.

Dissertations are literary documents that aim to pen down what a student has learned during research tenure. As a dissertation is considered an assessment tool, so the student must select a unique and interesting topic to ensure originality in research. Moreover, the dissertation topics also have a great impact on the first few jobs of students, so a wise decision about the selection of dissertation topics is necessary for opening doors of employment. This is the importance of a dissertation or research topics from the researchers' point of view; however, it is an important tool that a rea

Data collection is the process of gathering information from a variety of sources in the most reasonable fashion that enables researchers to answer research questions, test formulated hypotheses, and evaluate research outcomes. For providing concrete assertion, the collection of the data that best represents a targeted population is necessary. The most important thing regarding data collection is to make sure that information-rich and credible data is collected to run statistical or non-statistical tests to make an educated decision related to research.

As a researcher, you must understand in-depth quantitative research and its types to apply it in your research. It is a way of collecting and evaluating numerical data to answer the research question or test the hypothesis. Quantitative research is different from qualitative research as it identifies the correlations within the numbers. Qualitative research, on the other side, is used to evaluate non-numerical data. When your topic of research is about to solve statistically, then you move towards quantitative research to identify the facts, use numerical data and compare it to prove or disprove the hypothesis and generate statistical results.

A descriptive analysis summarizes or describes something quantitatively from a set of information. In this analysis, you use and analyze the statistics. You convert raw data into a descriptive form so that it will be easy to interpret and understand. Simply put, you try to manipulate order and rearrange data in this analysis to give more insightful information about the given data. This way, you can show or describe a data set in a more constructive way that leads to patterns that can fulfil the data conditions. This type of analysis is very important in the statistical

Are you ready to take your qualitative research to the next level? If so, you may be wondering what sets qualitative research apart from other forms of market research. While quantitative research is focused on numbers and metrics, qualitative research looks at consumers' attitudes, opinions, beliefs, and behaviors. Qualitative research can help you understand what's driving those behaviors and opinions-and how they might change in the future.

The very first difference between causal & mechanistic analysis is because of their goals. The causal analysis has different variables that are linked with each other. When these variables find a relationship between them, there can be some causes and effects in the result. The goal of causal analysis is to work on the cause and effects of having a relation between several variables. From available variables, you need to see which one is dependent.