Advanced Statistical Techniques

Advanced Statistical Techniques

• Data Reduction Techniques: Methods like factor analysis or principal components analysis used to reduce large datasets into key variables.

• Meta-Analysis: A statistical procedure that combines results from multiple studies to determine overall trends.

• Stepwise Multiple Regression: A method of fitting regression models by adding or removing predictors based on statistical criteria.

• Structural Equation Modeling (SEM): A multivariate technique that tests theoretical models involving multiple variables and relationships.

• Trend Analysis: A method for analyzing patterns in data over time.

• Factor Analysis: A statistical method used to identify underlying factors or constructs within a set of observed variables.

• Eigenvalue: In factor analysis, indicates how much variance a factor explains.