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When two variables are related but one does not cause the other researchers term the situation?
Researchers term the situation as correlation. Correlation indicates a statistical relationship between two variables, showing how they move together but not necessarily implying causation. The strength and direction of the correlation can provide insights into the relationship between the variables.
What is experimentation in sociology?
Experimentation in sociology involves designing and conducting studies to determine causation or relationships between variables in a controlled setting. Researchers manipulate one or more variables to observe their effects on others in order to test hypotheses and theories. This method allows sociologists to gather empirical evidence to understand social phenomena and human behavior.
What is correlational survey?
Correlational surveys involve measuring the relationship between two or more variables without manipulating them. By collecting data on these variables from a sample of participants, researchers can determine the extent to which changes in one variable are associated with changes in another, providing insight into potential patterns or connections between the variables.
What is a casual relationship in research?
A casual relationship in research refers to a situation where a change in one variable appears to cause a change in another variable. It implies that there is a cause-and-effect link between the two variables. However, it is important to remember that correlation does not imply causation, and establishing a causal relationship requires further rigorous testing and evidence.
What is a popular form of summary many sociologists utilize to quickly and clearly show a relationship between two variables?
Sociologists often use scatter plots to visually represent the relationship between two variables. This graphical tool helps quickly identify patterns and trends in the data, showing the strength and direction of the relationship between the variables.
