Do your PSYCH 202 home work without looking here! The assignment is due Sunday, answer it for yourself!
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).
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 bathroom scale that consistently shows your weight as 10 pounds less than your actual weight, but always produces the same result when you step on it multiple times, can be considered reliable (consistent) but not valid (accurate).
ANSWER that the information should have evidence and proof to back up the research and not just some peoples opinions on paper that there are people who can corroborate its authenticity, people who were involved, people who its used/worked/based on that its not correct once and never again yet used as correct in general
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.
The only thing IQ scores are a valid measure of is one's ability to score high on IQ tests. There are many kinds of intelligence.
valid
Standardized tests linked to interindividual differences are called psychometric assessments. These tests are designed to measure various psychological attributes, such as intelligence, personality traits, and cognitive abilities, allowing for comparisons among individuals. They aim to provide reliable and valid measures of individual differences in psychological constructs. Examples include IQ tests and personality inventories.
In my view reliable test is always valid.
Is it possible for an operational definition to be valid but not reliable
No
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).
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.
A psychometric test is a standardized assessment tool used to measure an individual's psychological attributes, skills, intelligence, or personality traits. These tests are designed to provide reliable and valid results to help assess a person's capabilities, preferences, and behaviors in various contexts such as education, employment, or clinical settings.
Fair tests are crucial because they ensure that the results of an experiment are valid and reliable. By controlling variables and minimizing bias, fair tests allow for accurate comparisons and conclusions to be drawn. This helps in establishing cause-and-effect relationships and enhances the credibility of scientific findings. Ultimately, fair tests contribute to the integrity of research and the advancement of knowledge.
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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.