This document discusses the different types of variables in research: dependent, independent, intervening, extraneous, and confounding. It explains that dependent variables are what is measured, independent variables are what is manipulated, and intervening variables explain the relationship between dependent and independent variables. Extraneous variables can also impact dependent variables, while confounding variables are related to both dependent and independent variables. Controlling variables through research design enhances internal validity and prevents bias. Uncontrolled extraneous variables can lead to inaccurate conclusions, while confounding variables distort outcomes. Properly controlling extraneous variables improves research validity and prevents their effects from masking the independent variable's impact. Understanding and controlling variables is crucial for valid findings.