validity
External validity is the extent that results from a study generalize to other people, places, and situations--how well the findings stand outside the study and the extent to which they can be replicated. The internal validity is that extent to which the study's design enables it to measure and study what it intends to study.
examples of internal and external validity
Causal validity is also referred to as internal validity. It refers to how well experiments are done and what we can infer from those results.
The difference between internal and external validity is in their nature. Internal validity indicates if a study depicts relation between two variables. External validity on the other hand generalizes the study of the variables.
A valid research measure is based on the concept of conclusion and measurement with the real world. The validity measures what it claims to measure.
Two common methods for assessing validity in psychological tests are content validity, which involves examining whether the test adequately covers the content it is supposed to measure, and criterion validity, which looks at how well a test predicts or correlates with an external criterion. Other types of validity include construct validity, which assesses whether the test measures the theoretical construct it claims to measure, and face validity, which considers if the test appears to measure what it intends to measure.
Validity- measures what it intends or claims to measure - i.e fit for its purpose
Validity is the extent to which a measurement tool actually measures what we wish to measure.
Validity refers to the accuracy of a measure in assessing what it intends to measure, while reliability refers to the consistency of the measure. Establishing validity involves multiple factors such as construct validity, content validity, and criterion validity, making it more complex than evaluating reliability. It requires more evidence and validation processes to ensure that the measure is actually measuring what it is supposed to.
validity
No, validity is not a prerequisite of reliability. Reliability refers to the consistency or stability of a measure, while validity refers to the accuracy of the measure in assessing what it is intended to assess. A measure can be reliable but not valid, meaning it consistently measures something but not necessarily what it is intended to measure.
The validity of a test refers to the extent to which it measures what it intends to measure. It assesses if a test is actually capturing the construct or concept it is designed to measure. Validity is essential to ensure that test scores are meaningful and can be generalized to the intended population.
This is known as the validity of a test. It is the degree to which a test accurately measures what it claims to measure. High validity indicates that the test is accurately assessing the intended construct or concept.
Questionnaires may lack validity due to issues such as ambiguous or leading questions, inadequate response options, or bias in how questions are framed. Additionally, if the questionnaire does not accurately measure what it intends to measure or fails to capture the true feelings or behaviors of respondents, its validity can be compromised.
Validity is the extent to which a test measures what it claims to measure. It is vital for a test to be valid in order for the results to be accurately applied and interpreted.
validity