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I assume you are asking this because you may be working with something to do with a research project, a term paper or some sort of research proposal. Validity is when you are referring to whether or not the source of the information is actually one that can give you insight into your question or whatever you are looking for. For instance, if you were doing a research project about frogs then a book about the history of automobiles would not be relevant at all, in fact, it would be not valid. you have to consider if your experiment or method would be one in which you can obtain good data that is relevant. Reliability on the other hand is when the source can be consistently trusted to give the same results. For instance a science experiment would be considered reliable if it would give consistent results every time it was reproduced. So if come up with an experiment that sometimes gives you one result, then other times another and maybe even other times even another result then your experiment is not reliable.
Remember validity and reliability can however hold slightly different meanings depending on what context you are applying them to.
Good luck:)
What else can I help you with?
What is considered before using secondary data?
relevance, consistency, method of collection used, validity, reasons for which the data were collected, reliability, completenes e.t.c
What kind of validity does the strategy of random sampling increase?
Random Sampling increases the reliability and validity of your research findings. To begin with, Reliability: By randomly picking research participants, the likelihood that they are from different backgrounds/ have different experiences etc. is higher and hence, they are said to be more representative of the population of interest. EG: RQ: Do females have higher IQ? A case of random sampling will pick females who are housewives/ CEOs/ Indian/ 18yrs old/ Divorced etc. the list goes on. While a case of non-random sampling (such as picking participants at a bus stop) may only result in a sample of females who are 20 - 35 years old, working professionals. Validity: As reliability and validity are related, for the research findings to be reliable and generalizable to the population of interest, it first has to be a valid sample. Hence, from the above example, EG1 provides a valid sample, while EG2 is invalid.
What is Validity that is related to the logical relationship between variables is known as?
construct validity
It has to do with the accuracy and precision of a measurement procedure?
Reliability!
Is it easier to increase internal validity than external validity?
No it is not easier because of the external flow.
Validity vs reliability?
Validity measures how well drawn a concept is, and how accurately it responds to the real world. Its effectiveness is measured by how close it comes to validating a measure that it claims to be able to measure. Reliability, on the other hand, posits the amount of consistency in the measurement.
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,
What are the differences between validity and reliability?
validity is whether the results are valid so the data has no mistakes of as such in it whereas reliability is the dependability; when the results you have are accurate and are of enough quality.
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.
