Arman Process Journal (APJ)

Abstract Basically, the foundation of every scientific society is based on research and research is actually the driver of progress and sustainable development of today's information-oriented societies. Statistical researches are generally carried out in two ways: quantitative and qualitative. Knowing the types of research methods and the characteristics of each of them, as well as understanding the difference between quantitative research and qualitative research, helps the researcher to choose the right and appropriate research method. Qualitative research is a research that is based on non-numerical and experimental, physical and exploratory analyzes to understand concepts, opinions, thoughts and experiences in a completely natural and real context. Qualitative researches use different software infrastructures to analyze information. Understanding these software infrastructures leads to greater success and development of research achievements. According to the necessity of the research, in this article we examine the most important software infrastructures in qualitative analysis research.

Abstract Based on the research and efforts of statistical scientists and even non-statistical fields, different methods have been developed to conduct statistical research, analyze findings and describe related results. Different methods of statistical tests are different approaches based on statistics that are widely used to conduct scientific research methods in different sciences. Usually, based on the theory and method of research, they are divided into two categories: "qualitative research" and "quantitative research". Usually in qualitative research, based on one or more observations, we try to describe and diagnose the cause-and-effect relationship and attribute the considered characteristic to the society. This is usually done by sampling and using statistical inference and inductive method, and the result of this research leads to a specific hypothesis or theory. Whereas in quantitative methods, we first intend to prove or disprove a theory, and by sampling from the statistical population, we reject or confirm this theory. This is done with the help of deductive inference. In order to better understand the problem and create an analytical schema, in this article, a review of basic statistical research methods and a comparison of their characteristics is presented.