0
Reliable - . i remember this by using the 4 A's rule: search for accuracy, average and do the experiment again, discard Anomalies
Validity - i remember this with the 3 C's rule: Cross-check ( compare with internet experiments or a classmate) calibration of equipment( starting the timer at 0.00), and the control variable( what you keep the same)
hope this helped :)
What else can I help you with?
What word describes the steps used in an experiment?
The word is "methodology." It refers to the systematic approach or procedure followed in conducting an experiment to achieve reliable and valid results.
Why it is important to distinguish valid and faulty generalizations?
Distinguishing between valid and faulty generalizations helps ensure that conclusions drawn from specific instances are accurate and reliable. Valid generalizations are based on sound reasoning and evidence, while faulty ones can lead to misinformation and unfair judgments. By being able to identify the difference, we can make better decisions and avoid stereotyping or making misleading assumptions.
The same throughout the solution?
If the solution remains consistent throughout, it suggests that the methodology or approach used is reliable and valid. It helps ensure the accuracy and consistency of the results obtained.
Any method of scientific investigation is accepted on the basis of?
Its ability to generate reliable and valid results, adhere to ethical standards, and be subject to peer review and replication by other researchers.
What is the scientific definition for valid?
In scientific contexts, "valid" refers to the soundness and accuracy of a method, argument, or conclusion based on empirical evidence and logical reasoning. A valid experiment or study is one that effectively tests its hypothesis, ensuring that the results genuinely reflect the phenomenon being investigated. Validity also encompasses the degree to which a measurement accurately represents what it intends to measure. Thus, a valid scientific claim is supported by reliable data and appropriate methodologies.
What is the difference between a valid test and a reliable test?
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.
Can a test be reliable and yet not valid?
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.
Why is it possible to have a reliable measure that is not valid but impossible to have a valid measure that 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.
Psychological tests that yield relatively consistent results are said to be?
valid
Can a experiment be reliable and not valid?
Yes, an experiment can be reliable but not valid. Reliability refers to the consistency of the results when the experiment is repeated under the same conditions, while validity assesses whether the experiment measures what it is intended to measure. For instance, a poorly designed experiment may produce consistent results (reliable) but may not accurately reflect the true relationship between the variables being studied (not valid). This highlights the importance of both concepts in research design.
A test may be reliable but not necessarily validIs it possible for a test to be valid but not reliable?
A test may be reliable but not valid. A test may not be valid but not reliable. For example, if I use a yard stick that is mislabeled to measure the distance from tee to hole in golf on different length holes, the results will be neither reliable nor valid. If you use the same stick to measure football fields that are the same length the result will reliable (repeatable, consistent) but not valid (wrong numbers of yards). There is no test that is unreliable (repeatable, consistent) and valid (measures what we are looking for).
Sampling techniques can provide statistically reliable and valid survey results except?
Sampling techniques can provide statistically reliable and valid survey results except haphazard sampling.
What does a reliable experiment mean?
A reliable experiment is one that can be proven or has been worked out several times giving valid or dependable results.
Why valid measure is always reliable?
A valid measure accurately captures what it intends to assess, meaning it reflects the true construct or phenomenon. Because a valid measure consistently produces accurate results, it inherently exhibits reliability, as reliability refers to the consistency and stability of measurements over time. However, not all reliable measures are valid, as they may yield consistent results without accurately measuring the intended construct. Thus, while all valid measures are reliable, the reverse is not necessarily true.
How can an instrument be reliable but not valid?
An instrument can be reliable but not valid when it consistently produces the same results under the same conditions, indicating stability and precision, but does not measure what it is intended to measure. For example, a scale that consistently weighs a person's mass the same way might be reliable, but if it is incorrectly calibrated and always adds five pounds, it is not valid for assessing true weight. Thus, while the results are dependable, they do not accurately reflect the intended construct.
How can be something reliable but not valid?
Something can be reliable but not valid when it consistently produces the same results or measurements, yet does not accurately measure what it is intended to measure. For example, a clock that is stuck at 3 PM will reliably show that time, but it is not valid for determining the current time. In essence, reliability refers to consistency, while validity pertains to accuracy and relevance. Thus, a reliable tool can yield consistent results that are nonetheless incorrect or irrelevant.
Is a reliable test necessarily valid?
In my view reliable test is always valid.
