Different types of structural equation modelling analysis
There are five major types of structural equation modelling analysis. Each of them helps to build a relationship between variables.
SEM moduleHow to review the literature to effectively address the problem statement and objectives of a thesis?
This article explains how to review the literature to effectively address the thesis objective and problem statement.
how to write, thesis writingUnderstanding the foundations of structural equation modeling
Structural equation modeling (SEM) is a powerful multivariate technique used increasingly in scientific investigations for evaluating and testing the relationships between variables.
SEM moduleCriteria for reliability and validity in SEM analysis
The principles of validity and reliability in SEM are used to assess the quality of research. They reflect the accuracy with which a method, approach, or test measures a problem.
research validity, SEM moduleUnderstanding the application of Structural Equation Modelling (SEM)
SEM establishes the relationship between two or more variables. It also determines the efficiency of the model created in the process.
SEM modulePython syntax to correctly handle string data type
String data in Python can be identified and differentiated from other data types if they are enclosed within single or double quotation marks.
coding with pythonUnderstanding various hypothesis testing steps
This article emphasizes the process of various hypothesis testing steps. A research hypothesis is a clear statement or assumption of a researcher about the possible relationship between two variables, or elements, in a study.
hypothesis testing, research methodologyHow to accept or reject a hypothesis?
When a hypothesis is presented negatively (for example, TV advertisements do not affect consumer behavior), it is called a null hypothesis. This article explains the conditions to accept or reject a hypothesis.
hypothesis testing