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Reviewer is a person who has high expertise in academic writing. You may have heard very frequently about peer review. The person hired to do peer review is the reviewer. Not everyone can be a reviewer. You can see many researchers in every institute, but they are not supposed to review research papers. A reviewer of research papers has the right set of skills and experience.

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.

A literature review aims to get insights related to the research problem and dive into the discussion. The structure of literature review is something that needs close attention. Without having a good structure, you cannot ace the milestones, and your literature review cannot stand out. The easiest way to structure literature review is using 5 Cs. These 5 Cs are comprised of cite, compare, contrast, critique, and connect. Each C has a particular set of attributes that help you make a perfect design to structure literature review. If any of the C is found to be missing in your literature review, I assure that you will have to resubmit it after

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.

A formal essay known as a technical essay uses technical or scientific language to explain a complex subject. It's a style of writing where the author discusses a specific topic that calls for direction, instruction, or clarification. Compared to other writing genres like creative writing, academic writing, or business writing, this style has a very different goal and set of traits.

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.

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 abstract of doctoral dissertation is an integral component of the document. It provides a brief overview of the problem or hypothesis being researched and describes how you approached your research and study setting. The abstract also includes a thorough description of how you collected your data and analyzed it as well as its significance within the field. Your results will speak directly to whether or not your dissertation topic was interesting enough to research in-depth or if it would be better suited for another type of project altogether.

A research design is a scientific strategy that aims to organise different research components logically and coherently. Stated in another way, the pre-defined set of rules offered to the social sciences researchers for answering research questions and testing hypotheses are termed research design. It is a multi-layer process that describes blueprints for collecting, measuring, analyzing, and interpreting given data.