Advanced Data Analysis (SEM) using SPSS-AMOS

Structural Equation Modelling (SEM) represents a powerful statistical technique used to test and estimate causal relationships using a combination of statistical data and qualitative causal assumptions. Researchers and analysts employ SEM to explore complex relationships among variables, making it essential in fields such as psychology, sociology, and business research. SEM allows for the simultaneous examination of multiple dependent and independent variables, offering a comprehensive approach to data analysis.

Structural Equation Modeling (SEM) using SPSS AMOS is a statistical technique that combines factor analysis and regression to analyze complex relationships between measured and latent variables. AMOS (Analysis of Moment Structures) is a software package, often integrated with SPSS, that provides a graphical user interface for building, estimating, and evaluating SEM models. Structural Equation Modelling (SEM) in SPSS AMOS is a statistical methodology that combines factor analysis and multiple regression analysis. This integration enables researchers to examine complex relationships among observed and latent variables. SEM in SPSS AMOS facilitates the creation of models that represent theoretical constructs and their relationships, providing a robust framework for testing hypotheses and theories. SPSS AMOS (Analysis of Moment Structures) is a specialised software tool designed for SEM. It offers a user-friendly graphical interface, allowing users to draw path diagrams and specify models visually. Researchers can estimate and assess models efficiently, obtaining detailed outputs that help in the thorough evaluation of proposed models. By using SEM in SPSS AMOS, researchers can explore intricate data structures, ensuring comprehensive insights and rigorous data analysis.

Target Audience:
Research Master Students, PhD students or post-graduate researchers and faculty from a variety of fields will benefit from the course.