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Words that are related to statistics?
* Probability * Correlation * Validity * Reliability * Variable * Frequency distribution
What is the difference between internal and external validity?
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.
Scientific method what advantages does it have over other methods of solving problems?
urmmm .. shows cause and effecthas high control which lead to high reliability & validity
Differences between fraud and error?
differences between errors and frauds
What is the differences between classification and tabulation in statistics?
Differences between Classification and Tabulation
In what situations would reliability be more important that validity?
Considering in test-scoring "reliability" refers to the consistency of the test scores, and "validity" refers to the accuracy of the interpretations made from those scores, then reliability is possible without validity, although validity is not possible without reliability.
Explain the concept of validity and reliability?
Explain the concepts of reliability,
Characteristics of evaluation?
The characteristics of evaluation are: validity and reliability
What is validity and reliability in human resource management?
relibality
Similarity of reliability and validity?
Reliability and validity are both important concepts in research, but they are not the same. Reliability refers to the consistency and stability of a measurement tool, while validity refers to the accuracy and truthfulness of the conclusions drawn from the data collected. Both concepts are crucial in ensuring the credibility and trustworthiness of research findings.
Is validity is a prerequisite of reliability?
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.
Why is validity harder to establish and evaluate than reliability?
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.
What is the most important when judging the quality of a scientific theory?
validity and reliability
What procedures can be followed to ensure the reliability validity currency and accuracy of data information used by an organisation?
Double checking and verification are some of the procedures that can be followed by an organization to ensure reliability,validity and accuracy of the data information.
What is the importance of test reliability and validity?
Test reliability ensures consistent results when the test is repeated, indicating the test is reliable and consistent. Test validity ensures that the test measures what it is supposed to measure, providing meaningful results. Both reliability and validity are essential for ensuring the accuracy and effectiveness of a test in assessing the intended construct or concept.
What is a test that measures or predicts what is supposed to is said to have a high degree of what?
validity is the answer....
Why is reliability is more important than validity?
Reliability is important because it ensures consistency and stability in measurement, which is crucial for making accurate comparisons over time or between different groups. Without reliability, the results obtained may be inconsistent and unreliable. Validity, on the other hand, refers to the accuracy of the measurement instrument in assessing the intended construct, and while it is important, a measure must first be reliable to be valid.
