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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.
It has to do with the accuracy and precision of a measurement procedure?
Reliability!
What is Validity that is related to the logical relationship between variables is known as?
construct validity
Is it easier to increase internal validity than external validity?
No it is not easier because of the external flow.
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.
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.
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.
What is validity and reliability in human resource management?
relibality
Characteristics of evaluation?
The characteristics of evaluation are: validity and reliability
What are the 3 major categories of personality measures?
Norms reliability validity
What is the most important when judging the quality of a scientific theory?
validity and reliability
What is the importance of test reliability and validity?
to test if they are measuring what they supposed to measure.
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 criteria for a good test?
A good test should be valid, reliable, and fair. Validity ensures that the test measures what it intends to measure, reliability ensures consistent results upon repeated testing, and fairness ensures that all test takers have an equal opportunity to demonstrate their knowledge or skills.
Comparison in odi with sachin tendulkar?
Well, Reliability
