A model in research can be defined as

a simplified, abstract representation of a real-world phenomenon, system, or process. It is used to study and understand the behavior, relationships, and variables involved in the phenomenon being studied. A model can be a physical or mathematical representation, and it helps researchers make predictions, test hypotheses, and gain insights about the phenomenon under investigation.

A model in research can be defined as a simplified representation or simulation of a real-world system, phenomenon, process, or concept. It is a tool used to study and understand complex systems, make predictions, test hypotheses, or explore various scenarios. Models can be mathematical, statistical, physical, conceptual, or computational in nature, depending on the nature of the research question and the available data or resources. They often involve making assumptions and simplifications to capture the essential features of the system being studied while removing unnecessary complexities. Models can range from simple conceptual diagrams to complex computer simulations, allowing researchers to analyze, interpret, and communicate their findings effectively.