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❶The first cell on the upper left shows the comparison of the verbal written test score with the verbal written test score.

Split-half method

Assessing Reliability
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If the same or similar results are obtained then external reliability is established. The disadvantages of the test-retest method are that it takes a long time for results to be obtained. The timing of the test is important; if the duration is to brief then participants may recall information from the first test which could bias the results.

Alternatively, if the duration is too long it is feasible that the participants could have changed in some important way which could also bias the results. This refers to the degree to which different raters give consistent estimates of the same behavior. Inter-rater reliability can be used for interviews.

Note, it can also be called inter-observer reliability when referring to observational research. Here researcher when observe the same behavior independently to avoided bias and compare their data. If the data is similar then it is reliable. In this scenario it would be unlikely they would record aggressive behavior the same and the data would be unreliable. However, if they were to operationalize the behavior category of aggression this would be more objective and make it easier to identify when a specific behavior occurs.

Thus researchers could simply count how many times children push each other over a certain duration of time. Manual for the beck depression inventory The Psychological Corporation.

San Antonio , TX. Manual for the Minnesota Multiphasic Personality Inventory. Saul McLeod , published The term reliability in psychological research refers to the consistency of a research study or measuring test. There are two types of reliability — internal and external reliability. 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.

This article is a part of the guide: Select from one of the other courses available: Don't miss these related articles:. Save this course for later Don't have time for it all now? Add to my courses. Take it with you wherever you go. In this article, we: When we examine a construct in a study, we choose one of a number of possible ways to measure that construct [see the section on Constructs in quantitative research , if you are unsure what constructs are, or the difference between constructs and variables].

For example, we may choose to use questionnaire items, interview questions, and so forth. These questionnaire items or interview questions are part of the measurement procedure. This measurement procedure should provide an accurate representation of the construct it is measuring if it is to be considered valid. For example, if we want to measure the construct, intelligence , we need to have a measurement procedure that accurately measures a person's intelligence.

Since there are many ways of thinking about intelligence e. In quantitative research, the measurement procedure consists of variables ; whether a single variable or a number of variables that may make up a construct [see the section on Constructs in quantitative research ].

When we think about the reliability of these variables, we want to know how stable or constant they are. This assumption, that the variable you are measuring is stable or constant, is central to the concept of reliability. In principal, a measurement procedure that is stable or constant should produce the same or nearly the same results if the same individuals and conditions are used. So what do we mean when we say that a measurement procedure is constant or stable?

Some variables are more stable constant than others; that is, some change significantly, whilst others are reasonably constant. Therefore, the score measured e.

Reliability in research

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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.

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The term reliability in psychological research refers to the consistency of a research study or measuring test. For example, if a person weighs themselves during the course of a day they would expect to see a similar bisnesila.tk: Saul Mcleod.

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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. Average inter-item correlation is a subtype of internal consistency reliability. Reliability and Validity. In order for research data to be of value and of use, they must be both reliable and valid.. Reliability.

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Reliability in research. Reliability, like validity, is a way of assessing the quality of the measurement procedure used to collect data in a dissertation. In order for the results from a study to be considered valid, the measurement procedure must first be reliable. Research reliability is the degree to which research method produces stable and consistent results. A specific measure is considered to be reliable if.