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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.

One half of the world's population is under the age of 25. The young generation can gather together to use their collective abilities to advocate for change. Students can help control the significant factors behind environmental pollution by changing their attitudes and values. Doing so can create a big difference in the amount of waste material being dumped into landfills and oceans around the world.

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.

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.

Google Scholar is a research-based tool designed to freely access scholarly information from books, peer reviews, abstracts, and scholarly articles. Stating in another way, it provides researchers with ways to broadly search for the contribution of renowned researchers in their respective fields. From one place, you can search for various work, irrespective of the discipline. Mostly, Google Scholar contains only abstracts of the scholarly literature. If you find something that matches your area of interest, you can use other tools such as sci-hub to access the full article. The process of information gathering using Google Scholar can be used for

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