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In this time of COVID19 and remote learning or emergency distance learning the value of encouraging students to investigate their questions should not be forgotten.

Research is a vital factor, especially in academic courses, to investigate issues and find solutions through appropriate tools and strategies. There are various methods of conducting research in which two are vital. Qualitative and quantitative are two methods design uses in investigation purpose of a concept to meet objectives. The academic dissertation has less time, budget and scope in nature. There is a need for a cheaper way to conduct a study and meet set objectives. In this regard, Desk research is the second name of the secondary design of the investigation. It is a way to conduct a study

In our daily life, we talk about many things and investigate them. This investigation is done to collect the relevant evidence. The purpose behind the whole work is to prove if your point of view is right or wrong. In written form, this process is named a discursive essay. In discursive essay you are supposed to convince your audience for your claim with the proper support of evidence. Many people take it as an argumentative essay, but in actual both are not the same. The style of discursive essays and argumentative essays differs both in their structure and purpose. In the discursive essay, you need to describe supporting as well as

Planning to apply for a PhD position, and not sure about how to draft your research proposal? Then this guide is for you. But first, let's define the research proposal. A research proposal is an educational document that describes what you will investigate, why it is important, and how you will carry out your research. It should present your idea and expected outcomes with full clarity. It should also address why your idea is significant and its value to your field of study. There may be some variations in the sections, but the overall goal is the same. The format of the research proposal varies between fields, but most of them contain the following:

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.

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.

The use of meta-analysis to develop a conclusion from various studies is now a trend in the research. It helps to reduce bias and prejudice information in investigations. There are different types of meta-analysis reviews. Both qualitative and quantitative reviews are possible with secondary data. Systematic, narrative and meta-analysis are significant types of assessments. Meta-analysis provides in-depth information and presents findings in descriptive statistics. Quantitative reviews keep information in statistics, figures and val