What type of analysis is conducted when investigating more than one independent variable?

The correct answer is factorial analysis, which is utilized when researchers want to examine the effects of multiple independent variables simultaneously. This type of analysis allows for the exploration of interactions between independent variables and their combined effects on a dependent variable.

In factorial analysis, researchers can manipulate two or more independent variables, which makes it a powerful tool for understanding complex relationships in data. For example, if a study is analyzing how different teaching methods and study environments affect student performance, factorial analysis would enable the researcher to determine not only the individual effects of each teaching method and study environment but also how these factors interact with each other.

While other methods, such as ANOVA, regression analysis, and meta-analysis, are useful in specific contexts, factorial analysis is specifically designed to handle the complexity introduced by multiple independent variables, allowing for a comprehensive understanding of their interrelationships.