The list of population elements from which the sample is drawn is called (A) population register (B) sample register (C) sampling frame (D) population frame Correct Ans: (C) Explanation: In mass communication and social science research, a sampling frame refers to the complete list of population elements from which a researcher selects a sample. It forms the foundation for drawing valid and representative conclusions. When researchers conduct surveys or experiments, they need a structured list that includes every member of the population they want to study. That list is the sampling frame. For instance, if a researcher is studying news consumption habits of college students, the university’s enrollment list becomes the sampling frame. It gives them access to every potential participant. From this list, they can randomly or systematically pick students to create a manageable, yet representative, sample. Using the right sampling frame is crucial for research accuracy. If the list is outdated or incomplete, the results may become biased. A poor sampling frame leads to sampling errors and limits generalizability. Therefore, researchers must ensure that the sampling frame closely matches the target population. Let’s now break down why the other options are incorrect:(A) Population register sounds similar but is not the correct technical term in research methodology. It refers more to civil records like census databases.(B) Sample register does not exist as a research term and confuses the concept of tracking selected individuals with the broader process of selecting them.(D) Population frame is also a misleading term and not typically used in professional research literature. Thus, (C) Sampling Frame is the correct answer. It supports the scientific selection of samples, ensuring that the study reflects the characteristics of the entire population. In conclusion, a sampling frame plays a central role in communication research. It guarantees that the sample reflects the target audience, improves data quality, and strengthens the credibility of research findings.