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❶Reliability Reliability relates to the consistency of a measure.

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However, diligent scientists take measurements many times, to minimize the chances of malfunction and maintain validity and reliability. At the other extreme, any experiment that uses human judgment is always going to come under question. Human judgment can vary wildly between observers , and the same individual may rate things differently depending upon time of day and current mood.

This means that such experiments are more difficult to repeat and are inherently less reliable. Reliability is a necessary ingredient for determining the overall validity of a scientific experiment and enhancing the strength of the results. Debate between social and pure scientists, concerning reliability, is robust and ongoing. Validity encompasses the entire experimental concept and establishes whether the results obtained meet all of the requirements of the scientific research method.

For example, there must have been randomization of the sample groups and appropriate care and diligence shown in the allocation of controls. Internal validity dictates how an experimental design is structured and encompasses all of the steps of the scientific research method. Even if your results are great, sloppy and inconsistent design will compromise your integrity in the eyes of the scientific community. Internal validity and reliability are at the core of any experimental design.

External validity is the process of examining the results and questioning whether there are any other possible causal relationships. Control groups and randomization will lessen external validity problems but no method can be completely successful. This is why the statistical proofs of a hypothesis called significant , not absolute truth.

Any scientific research design only puts forward a possible cause for the studied effect. There is always the chance that another unknown factor contributed to the results and findings. This extraneous causal relationship may become more apparent, as techniques are refined and honed. If you have constructed your experiment to contain validity and reliability then the scientific community is more likely to accept your findings.

Eliminating other potential causal relationships, by using controls and duplicate samples, is the best way to ensure that your results stand up to rigorous questioning. Check out our quiz-page with tests about:. Martyn Shuttleworth Oct 20, Retrieved Sep 11, from Explorable. The text in this article is licensed under the Creative Commons-License Attribution 4.

You can use it freely with some kind of link , and we're also okay with people reprinting in publications like books, blogs, newsletters, course-material, papers, wikipedia and presentations with clear attribution.

Don't have time for it all now? No problem, save it as a course and come back to it later. Reliability is directly related to the validity of the measure.

There are several important principles. First, a test can be considered reliable, but not valid. Consider the SAT, used as a predictor of success in college. It is a reliable test high scores relate to high GPA , though only a moderately valid indicator of success due to the lack of structured environment — class attendance, parent-regulated study, and sleeping habits — each holistically related to success.

Second, validity is more important than reliability. Using the above example, college admissions may consider the SAT a reliable test, but not necessarily a valid measure of other quantities colleges seek, such as leadership capability, altruism, and civic involvement.

Finally, the most useful instrument is both valid and reliable. Proponents of the SAT argue that it is both. Thus far, we have discussed Instrumentation as related to mostly quantitative measurement.

Some qualitative researchers reject the concept of validity due to the constructivist viewpoint that reality is unique to the individual, and cannot be generalized. These researchers argue for a different standard for judging research quality. This resource was created by Dr. The Instrument Instrument is the general term that researchers use for a measurement device survey, test, questionnaire, etc. Examples are listed below: Example usability problems include: Students are asked to rate a lesson immediately after class, but there are only a few minutes before the next class begins problem with administration.

Students are asked to keep self-checklists of their after school activities, but the directions are complicated and the item descriptions confusing problem with interpretation. For now, we can identify five usability considerations: How long will it take to administer? Are the directions clear? How easy is it to score? Do equivalent forms exist?

Have any problems been reported by others who used it? Validity Validity is the extent to which an instrument measures what it is supposed to measure and performs as it is designed to perform. Reliability Reliability can be thought of as consistency. It is not possible to calculate reliability; however, there are four general estimators that you may encounter in reading research: The consistency of a measure evaluated over time.

What is Reliability?

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Quantitative Research: Reliability and Validity. Reliability. Definition: Reliability is the consistency of your measurement, or the degree to which an instrument measures the same way each time it is used under the same condition with .

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In quantitative research, this is achieved through measurement of the validity and reliability.1 Validity is defined as the extent to which a concept is accurately measured in a quantitative study. For example, a survey designed to explore depression but which actually measures anxiety would not be considered valid.

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Instrument, Validity, coachoutleta.cf version of this page. There are numerous statistical tests and measures to assess the validity of quantitative instruments, which generally involves pilot testing. Establishing validity and reliability in qualitative research can be less precise, though participant/member checks. The use of reliability and validity are common in quantitative research and now it is reconsidered in the qualitative research paradigm. Since reliability and validity are rooted in positivist perspective then they should be redefined for their use in a naturalistic approach. Like reliability and.

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Validity. Validity is defined as the extent to which a concept is accurately measured in a quantitative study. For example, a survey designed to explore depression but which actually measures anxiety would not be considered valid. The second measure of quality in a quantitative study is reliability, or the accuracy of an coachoutleta.cf other words, the extent to which a research . PDF | On Jan 1, , Roberta Heale and others published Validity and reliability in quantitative research.