Validity refers to(1 point)
Responses
reliability.
reliability.
accuracy.
accuracy.
originality.
originality.
consistency.
consistency.
To corroborate information is to(1 point)
Responses
find evidence that disproves a scientific position.
find evidence that disproves a scientific position.
find evidence that supports a scientific position.
find evidence that supports a scientific position.
find evidence that proves a scientific position.
find evidence that proves a scientific position.
find evidence that opposes a scientific position.
find evidence that supports a scientific position.
Validity refers to the extent to which a measure or research design accurately measures or represents the concept or phenomenon it is intended to. It is different from reliability, which refers to the consistency and stability of a measure or design over time and across different situations. Validity is important because if a measure does not accurately represent the concept being studied, then any conclusions or inferences drawn from that measure may be incorrect or misleading.
Validity refers to the extent to which a measurement, test, or experiment accurately measures or predicts what it intends to measure or predict. In other words, it measures the degree to which a conclusion or finding is supported by evidence and logical reasoning.
To determine the validity of a measurement or test, you typically need to employ various methods and techniques. Here are some approaches you can use:
1. Content Validity: This approach focuses on how well the items or questions in a test or measurement instrument represent the content domain being measured. To establish content validity, experts in the field review the items and determine if they adequately cover the intended area of interest.
2. Criterion-Related Validity: This approach involves examining the relationship between the scores obtained on the measurement or test and external criteria or measures. There are two types of criterion-related validity:
- Concurrent Validity: This type of validity establishes the extent to which scores on a new test correlate with scores obtained from a different, established measurement that measures the same construct.
- Predictive Validity: This type of validity assesses the extent to which scores on a measurement or test predict future performance or behaviors.
3. Construct Validity: This approach evaluates the extent to which a test measures an underlying psychological construct or trait. It involves examining the relationships between the test scores and other measures that should theoretically be related to the construct being measured.
4. Face Validity: This method assesses how well a test or measurement appears to measure what it claims to measure. It does not rely on statistical analysis but rather on subjective judgment from experts or laypeople.
In conclusion, validity refers to the accuracy and appropriateness of a measurement or test. It assesses if the obtained results truly measure or predict what they are intended to measure or predict. Several methods are available to evaluate validity, including content validity, criterion-related validity, construct validity, and face validity.