It includes constructs like concepts, ideas, theories, etc. Parallel forms reliability is a measure of reliability obtained by administering different versions of an assessment tool both versions must contain items that probe the same construct, skill, knowledge base, etc. Content validity is qualitative measure where the actual content matches the measurement which is a logical method of measurement.
Intra rater reliability is a measure in which the same assessment is completed by the same rater on two or more occasions. Criterion validity is the measure where there is correlation with the standards and the assessment tool and yields a standard outcome.
Internal consistency reliability is a measure of reliability used to evaluate the degree to which different test items that probe the same construct produce similar results. Pictorial Demonstration of Validity and Reliability:. Difference Between Reliability and Validity. The main difference between validity and reliability is that validity is the extent to which a test measures, and what it claims to measure whereas reliability refers to the consistency of the test results.
Tests or research of any kind is measured upon validity and reliability. Usually, these two measurements are used in psychological tests and research materials.
Outside the research field, however, these two words are used interchangeably. What is Validity — Definition, Features, Types 2. What is Reliability — Definition, Features, Types 3. Validity is the extent to which a test measures what it claims to measure. In other words, it means the accuracy of a test. Therefore, it is a scientific test or piece of research that actually measures what it sets out to measure, or how well it reflects the reality it claims to represent.
Kelly who stated that a test is valid if it measures what it claims to measure, formulated the concept of validity. Thus, validity refers to the credibility or believability of the research. Ensure that you have enough participants and that they are representative of the population. Reliability should be considered throughout the data collection process. Plan your method carefully to make sure you carry out the same steps in the same way for each measurement.
This is especially important if multiple researchers are involved. For example, if you are conducting interviews or observations, clearly define how specific behaviours or responses will be counted, and make sure questions are phrased the same way each time.
When you collect your data, keep the circumstances as consistent as possible to reduce the influence of external factors that might create variation in the results. For example, in an experimental setup, make sure all participants are given the same information and tested under the same conditions.
Showing that you have taken them into account in planning your research and interpreting the results makes your work more credible and trustworthy. Have a language expert improve your writing. Check your paper for plagiarism in 10 minutes. Do the check. Generate your APA citations for free! APA Citation Generator.
Reliability vs validity Reliability Validity What does it tell you? The extent to which the results can be reproduced when the research is repeated under the same conditions. The extent to which the results really measure what they are supposed to measure. How is it assessed?
By checking the consistency of results across time, across different observers, and across parts of the test itself. By checking how well the results correspond to established theories and other measures of the same concept. How do they relate? A valid measurement is generally reliable: if a test produces accurate results, they should be reproducible. You measure the temperature of a liquid sample several times under identical conditions.
The thermometer displays the same temperature every time, so the results are reliable. A doctor uses a symptom questionnaire to diagnose a patient with a long-term medical condition. Several different doctors use the same questionnaire with the same patient but give different diagnoses.
This indicates that the questionnaire has low reliability as a measure of the condition. If a symptom questionnaire results in a reliable diagnosis when answered at different times and with different doctors, this indicates that it has high validity as a measurement of the medical condition.
The thermometer that you used to test the sample gives reliable results. However, the thermometer has not been calibrated properly, so the result is 2 degrees lower than the true value. Therefore, the measurement is not valid. A group of participants take a test designed to measure working memory. What can proofreading do for your paper? Is this article helpful? Fiona Middleton Fiona has been editing for Scribbr since August
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