Its ability to generate reliable and valid results, adhere to ethical standards, and be subject to peer review and replication by other researchers.
To ensure validity, I would review the instrument's content to ensure it aligns with the construct being measured. For reliability, I would conduct a pilot test to assess consistency in measurements over time and among different raters. I would also use statistical analyses, such as Cronbach's alpha for internal consistency or test-retest reliability, to further assess the instrument's reliability.
Scientists intend to conduct an experiment by following a structured methodology that begins with defining a clear research question or hypothesis, designing a controlled experiment to test the hypothesis, collecting and analyzing data, and drawing conclusions based on the results. The experiment should be carefully controlled to minimize bias and ensure reliable and valid results.
Yes, scientists rely on logical arguments that are supported by empirical evidence to establish the validity of their hypotheses and conclusions. This evidence-based approach is fundamental to the scientific method and helps ensure that scientific conclusions are reliable and reproducible.
The word is "methodology." It refers to the systematic approach or procedure followed in conducting an experiment to achieve reliable and valid results.
In my view reliable test is always valid.
Is it possible for an operational definition to be valid but not reliable
No, for a test to be valid, it must also be reliable. Reliability refers to the consistency of the test results, while validity refers to the accuracy of the test in measuring what it is supposed to measure. A test cannot be valid if it is not reliable.
A reliable measure is consistent and yields consistent results, so it may not be measuring the intended construct accurately (lack validity). On the other hand, a valid measure accurately assesses the intended construct, but it must be consistent and produce stable results (reliable) to ensure that the measurements are dependable and trustworthy.
Its ability to generate reliable and valid results, adhere to ethical standards, and be subject to peer review and replication by other researchers.
We can use wiki how, google, libraries, books, journals, magazines, etc to conduct a literature review.
Reliable indicates that each time the experiment is conducted, the same results are obtained (accuracy). Valid indicates the experiment (or test) has controlled variables and used an appropriate method/model.
A test may be reliable yet not valid, The results can end up being reliable, in other words certain to have yielded properly based on input. But the results may not be trustworthy.
You first have to come up with a hypothesis. Review the relevant work already completed out there. Design an experiment around to test your hypothesis. Conduct the experiment and analyze the results. Write a summary report. Using the data from the experiment to evaluate the hypothesis in order to draw a valid conclusions.
Social and Medical sciences uses these statistical concepts. ideally, we have to measure the same way each time, but intrasubject, interobserver and intraobserver variance occur, so we have to anticipate and evaluate them. In short, it is the repeatability of a measurement, by you, myself and everybody person or instrument. Validity is how much the mean measure that we got is near of the true answer or value. So, an instrument can be reliable but not valid, valid but not reliable, both valid and reliable, nor valid neither reliable. I suggest that you imagine a target: you can aim and 1) always get the center (both valid and reliable) 2) always get the same distant point (reliable but not valid) 3) err much around the true center (valid but not reliable - the mean and median of your arrow's shot will get the center) 4) err much around the another center, false one (nor valid neither reliable) I did not understood exactly what selection criteria have to do with the rest of question, so, left in blank ;-)
to conduct secret research
peer review makes the result more reliable