Steps in Research Process (Partial Least Square of Structural Equation Modeling (PLS-SEM))
Abstract
Data Analysis is the process of methodically applying statistical and logical methods to describe and explain, condense, recap, and evaluate data. Data analysis refers to the process of developing answers to research questions through the examination and clarification of data. The very basic steps in the analysis process are to recognize problems, determine the availability of appropriate data, decide on which methods are suitable for answering the research questions, apply the methods and estimate, summarize and discuss the results. The design and analytical path of any research program should have a specific methodological direction based on its research objective and framework. This study is a review, analysing data from studies that utilize a quantitative method, follow a survey method design and apply Partial Least Square of Structural Equation Modeling (PLS-SEM). The quantitative approach is also known as a traditional, positivism, experimental or empiricist research approach. This study aims to review all the steps that need to be carried out before applying SEM using SPSS and after this, all the steps of SEM need to be reported.