1. Testable:

* The question can be answered through observation, experimentation, or data analysis.

* You can design an experiment or collect data to find the answer.

2. Specific:

* The question is clear and focused, not broad or vague.

* It avoids ambiguity and unnecessary details.

3. Measurable:

* The answer to the question can be quantified or observed in a way that can be measured.

* This helps to avoid subjective interpretations.

4. Relevant:

* The question has significance within the field of study.

* It builds upon existing knowledge and contributes to the understanding of the topic.

5. Objective:

* The question is free from personal biases or opinions.

* It aims to find unbiased answers based on evidence.

6. Feasible:

* The question can be answered within the constraints of time, resources, and technology.

* It's important to consider practical limitations.

7. Interesting:

* The question is engaging and sparks curiosity in the researcher and potentially others.

* This can motivate further research and discovery.

Examples:

Good scientific question: "Does listening to classical music improve academic performance in high school students?"

Why it's good:

* Testable: This question can be answered by conducting an experiment where one group of students listens to classical music while studying and another group doesn't.

* Specific: The question clearly defines the subject (high school students), the independent variable (listening to classical music), and the dependent variable (academic performance).

* Measurable: Academic performance can be measured through grades, test scores, or other standardized assessments.

* Relevant: This question investigates a potential relationship between music and learning, a relevant topic in educational research.

* Objective: The question is not biased towards a particular outcome.

* Feasible: This type of experiment can be conducted within reasonable constraints.

* Interesting: This question is likely to pique the interest of students, educators, and music enthusiasts.

Bad scientific question: "Is music good for people?"

Why it's bad:

* Vague: "Good" is a subjective term and not specific enough.

* Not measurable: "Good" is difficult to quantify.

* Too broad: The question doesn't specify what kind of music or people are being considered.

By understanding these qualities, researchers can formulate compelling and impactful scientific questions that contribute to the advancement of knowledge.