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Are you working on finding a solution to a problem in your dissertation? If yes, then you must know that every research begins with a clear idea of the research purpose. It is because all the research processes base on that purpose. In this sense, you can carry out two approaches. One is basic research, and the other is applied research. Both have their uses in finding a solution to a problem. Both employ different methods to solve the problem you are researching in your dissertation. However, I will talk about the applied research method in today's article. I will discuss how this particular research design is helpful in writing a dissertation. But before that, let's define this research method first.

Research paper is a collection of authentic material to address a particular problem. In the academic writing, the discussion is made on the already researched problem. You just have to pen it down for the research community. The purpose of a research paper is to explain the main results of study. Also, it focuses on the significance of doing in-depth research on a particular problem. In the research paper, results and discussions are always original. As a writer, you are not allowed to add your choices, but everything is based on a systematic process. Different types of research papers follow a specified path to deal with research issues. Before writing a research paper, you must identify which type of research paper it should be. As per its importance, this article aims to discuss types of research papers and their differences.

The quality of research is dependent on the technique of gathering data. Any research topic aims to find the best result out of it. The obtained results help in making valuable decisions. There are many requirements of data in the case of research work. For example, it should be relevant as well as reliable. Also, you must be familiar with the different data collection methods suitable for the problem of study. The right selection of methods makes it possible to get the best results. An interview is one of the best and most commonly used methods of data collection. To get the most value from an interview, you must first understand the various techniques available. This article describes some of the most common approaches to data collection through interviews.

Every research demands central theme that provides a ground base for technical study. You can find systematic procedures for better understanding of a shift from one field of research to another. One of the fields of research is ethnographic studies. Ethnography is a study of culture and social organisations. You can study these aspects in a group as well as in the form of a community. The most common use of ethnography can be seen in exploring a cultural phenomenon. As a researcher of ethnography, you need to highlight a single culture from different angles. As per its importance, this article aims to discuss ethnographic studies in detail.

One of the most popular and effective multidimensional statistical approaches is regression analysis. It postulates the nature and extent of significant relationships between the variables in a data set. Once you understand how to apply regression, you can identify and determine the relationship between two or more variables. Regression methods help researchers make inferences and forecast future outcomes and behaviours. For example, sales forecasts and weather forecasts depend upon the regression analysis. However, there are some common mistakes that every statistician mistakes in regression methods. These mistakes compromise the validity of the results and lead to incorrect inferences and predictions. This article will tell you about the eight mistakes that every statistician makes in regression analysis.

After finalizing your dissertation, your next step is to write its abstract or short summary. Now the question that probably arises in your mind is, "what is meant by a dissertation abstract?" An abstract in a dissertation is a summary highlighting key points of your dissertation. It gives the readers the main idea about the research work that you plan on conducting in your dissertation. Usually, an executive summary and abstract are two different things. In academic publications, an abstract only defines your research, while the executive summary tells about the research and findings. In the dissertation abstract, both aspects are covered. This article will help you write the highest quality dissertation abstract that will attract readers to your thesis.

Is it good or bad to have co-authors in research papers? Well, having co-authorship is a tricky task. The reason is that there exists a divided opinion about having co-authors. Some researchers say that working with other authors in the same field fosters collaboration and detailed research, whereas others are unhappy with sharing their ideas. It is a matter of liking and disliking this mode of research; the main point is that not a single researcher denies the importance of having co-authors in research papers. So, today's article will shed some light on this topic and let you know more about the importance of co-authors in research papers. However, before moving on to the importance, let's define what is meant by co-authors.

Exploratory data analysis is very commonly used among data scientist and researchers. It is because it can allow you to get deep insights from a particular dataset. In this way, a data scientist can draw a particular outcome from a dataset with the help of the EDA process. However, it is a very difficult process. Thus, you need to know an effective method before doing this analysis. This article will give you the best method to do an exploratory data analysis.

For a PhD dissertation, making figures and tables is not easy. A good dissertation has simple and easy-to-read graphics, which can help the reader to understand the complex idea through visual representation. There are now many tools on the internet available that can help you to make good tables and figures. This article will show you the five best tools to make figures and tables for a PhD dissertation.

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.

While working on a study, students often get confused in deciding whether they should write the context or background for their study. It is because they do not know the meaning of these terms and their differences. Because of this, they are unable to use them effectively. If you are facing the same thing, you do not worry about it because it is a common problem among students. However, you do not know about the similar and different aspects of context and background of study. It is because these two things are essential to attract readers to your research topic. This article will help you to understand the meaning and purpose of the context and background of study. Moreover, it will explain all the similarities and differences between them so that you will be able to use them perfectly in your study.

Do you get stuck while writing your doctoral dissertation? Well, this is not unusual. Many times, PhD students face difficulties in their dissertation work. Because of these difficulties, they get stuck and stop writing their dissertation. Well, it is unwise to stop writing. Instead, you should take some professional advice that can help you write your dissertation without any hurdles. This article will guide you to write a doctoral dissertation without getting stuck.

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

Are you done with data collection after performing a detailed survey? I am glad to hear that you have completed this time consuming task. Now, do you know what the next step is? Yes, the next step after conducting a survey is data refining. You need to purify your obtained results or data using different techniques. Many students are totally unaware of those techniques. They put their ears on this most important task, hence, fail to grab their desired grades. Keeping this in mind, today's article is for students who do not know the importance of data refining and the ways of doing it. So, let's start discussing the topic with the question

For many nursing students, finishing their PhD Dissertation with flying colours is their ambition. A comprehensive approach, top-notch research, and in-depth analysis will help them write a dissertation that stands out. The greatest academic level that has the potential to increase your intellectual capacity is the doctoral level. Additionally, it could lead to a lot of worry for you. This article is for you if you are looking for tips that will help you with your dissertation. The goal of this article's discussion is to help readers finish their PhD dissertation without going crazy.

Basic research is theoretical and also called pure, fundamental research. Its major aim is to generate new ideas, findings, and theories or improve existing theories by using a specific methodology. There are many questions in the researcher's mind before conducting the research, such as what exactly basic research is? What is the relation between basic and theoretical research? Or is there any difference between them or not? In this article, you will know all the answers to the above questions. We are going to tell you in-depth about basic and theoretical research so you understand if there is any difference between basic and theoretical research or not.

Exploratory and confirmatory research are the two types used for different purposes. While both methods are useful, the key differences between them are in their limitations and benefits. Exploratory research is more commonly used in the early stages of research work, while confirmatory research is often used as a final step. Those wishing to proceed with clinical trials should run and reference confirmatory studies. A good way to ensure that a confirmatory study is done correctly is to adhere to a standard protocol and report findings regardless of effect sizes. Some researchers confuse between exploratory and confirmatory research when it is time to do research or thesis work. Do not worry! This article will teach you the main differences between exploratory and confirmatory research.