When should researchers use Hypotheses?

When should researchers use Hypotheses?

• A. When testing predicted relationships between variables.
• B. When exploring topics with little prior information.
• C. When describing observed phenomena.
• D. When collecting qualitative data.

Answer: (A)

Hypotheses are testable predictions about relationships between variables, used to evaluate theory by comparing observed data to what the prediction implies. When you have a theory or prior evidence suggesting a specific relation, you state it as a hypothesis so you can formally test whether the data support or contradict that relation. That makes the best use of hypotheses—to confirm or disconfirm predicted linkages through statistical analysis. If you’re exploring topics with little prior information, you’d typically use open-ended research questions rather than concrete hypotheses. Descriptive work aims to describe what’s observed without predicting relationships between variables. Collecting qualitative data is a method of gathering information; while qualitative studies can inspire hypotheses, the act of data collection itself isn’t inherently a test of predicted relationships.

Hypotheses are testable predictions about relationships between variables, used to evaluate theory by comparing observed data to what the prediction implies. When you have a theory or prior evidence suggesting a specific relation, you state it as a hypothesis so you can formally test whether the data support or contradict that relation. That makes the best use of hypotheses—to confirm or disconfirm predicted linkages through statistical analysis.

If you’re exploring topics with little prior information, you’d typically use open-ended research questions rather than concrete hypotheses. Descriptive work aims to describe what’s observed without predicting relationships between variables. Collecting qualitative data is a method of gathering information; while qualitative studies can inspire hypotheses, the act of data collection itself isn’t inherently a test of predicted relationships.