0
Want this question answered?
Be notified when an answer is posted
Add your answer:
Earn +20 pts
Why is reliability important in research?
Reliability is very important to research because it tells us (based on results obtained each time) whether or not there is a problem with your research, proves or disproves your hypothesis (insufficient evidence to suggest hypothesis is correct) concluding that reliability is low. Also, if a research is reliable it can be used as scientific evidence.
What is an example of an weak password?
can you give me one example of a weak possword
Is Market Research Reliable?
Coverage includes how market research must meet tests of research validity and research reliability in order to be relevant and useful for marketing decision
What is an example of reliability?
Reliability is nothing but the trust that a person has on the other such that you can help that person when required and be helped when need..:-):-).....................
What is administration of the instrument in research method?
Usability is what is referred to as the administration of the instrument in research method. Also, within the research method, you will find validity and reliability.
What value must a reliability coefficient have for most purposes in basic research?
.7
When doing experimental research it is important to limit bias or validity or reliability or hypotheses?
bias
Should any ... you use to answer your research question be checked for reliability and relevance to your question?
source material
Any you use to answer your research question should be checked for reliability and relevance to your question?
source material
Example of weak nuclear force?
That is not something you encounter in your "daily life", unless you work in some very specific research area. The weak nuclear force plays a role in the breaking apart of some radioactive nuclei.
How do you calculate test retest reliability in quantitative research?
Use the Bland-Altman test, it tests reliability more efficiently then looking at co-efficients. Use the Bland-Altman test, it tests reliability more efficiently then looking at co-efficients.
What is reliability analysis?
Reliability analysis is a statistical technique used to assess the consistency and stability of measurements or test scores. It helps to determine the extent to which a measurement tool produces consistent and accurate results over time. Reliability analysis is often used in fields such as psychology, education, and market research to evaluate the quality of data and ensure the trustworthiness of research findings.
