Giving operational definition of terms is considered very important because it gives the readers a clear and concise concept of what is being defined.

An operational definition is critical in academic and scientific writing because it provides clarity and precision regarding the concepts being studied. Here are some reasons why operational definitions are important:

1. Clarity: They clarify what specific terms mean within the context of a study. For example, if a study refers to "stress," an operational definition might specify how stress is measured, such as through questionnaires, physiological responses, or self-reported feelings.

2. Replicability: By defining terms explicitly, other researchers can replicate the study under similar conditions. This is essential for validating findings across different studies and ensuring consistency in research methodology.

3. Measurement: Operational definitions establish the criteria and methods for measurement. This is particularly important in quantitative research, where precise measurement is necessary for data collection and analysis.

4. Scope: They help delineate the boundaries of the research. For instance, defining "youth" as individuals aged 18-24 helps to specify the age group being studied, making it clear to the audience what the research applies to.

5. Reduction of Ambiguity: Terms often carry different meanings in different contexts. Operational definitions help reduce ambiguity, making it easier for readers to understand the results and implications of the research.

Overall, operational definitions are essential for effective communication in research, ensuring that all stakeholders have a shared understanding of the terms and concepts involved.