Understanding Validity and Reliability

What does internal validity ensure in a study?

• That the study can be repeated with consistent results.

• That the study measures what it intends to measure without outside influences.

• That the findings can be applied to different settings and populations.

• That the measurement is close to the true value.

Which of the following best describes reliability in a study?

• The ability to apply findings to different settings and populations.

• The ability to measure what is intended without outside influences.

• The ability to repeat the study with consistent results.

• The closeness of a measurement to the true value.

What is external validity concerned with?

• Whether the study measures what it intends to measure.

• Whether the findings can be applied to different settings and populations.

• Whether the study can be repeated with consistent results.

• Whether the measurement is close to the true value.

What does accuracy refer to in the context of measurements?

• How small the differences are between repeated measurements.

• How close a measurement is to the true value.

• How well a study measures what it intends to measure.

• How applicable the findings are to real-world settings.

Which statement is true about precision?

• It refers to how close a measurement is to the true value.

• It refers to how small the differences are between repeated measurements.

• It refers to the ability to apply findings to different settings.

• It refers to the ability to repeat a study with consistent results.

Is it true that a study with high reliability always has high validity?

• Yes, high reliability guarantees high validity.

• No, a study can be reliable but not valid.

• Yes, because reliability and validity are the same.

• No, because reliability and validity are unrelated.

What type of validity examines if results apply to real-world settings?

• Internal validity

• Face validity

• Ecological validity

• Construct validity

Can a test be precise but not accurate?

• No, precision and accuracy always go hand in hand.

• Yes, a test can be precise but not accurate.

• No, if a test is precise, it must be accurate.

• Yes, but only in controlled environments.

What does face validity refer to?

• Whether a test appears to measure what it claims to at first glance.

• Whether the findings can be applied to different settings.

• Whether the study can be repeated with consistent results.

• Whether the measurement is close to the true value.

If a study is highly reliable, must it also be highly accurate?

• Yes, reliability ensures accuracy.

• No, a study can be reliable but not accurate.

• Yes, because reliability and accuracy are the same.

• No, because reliability and accuracy are unrelated.