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Definition of Reliability

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❶So, we'll call this very discriminant to indicate that we would expect the relationship in this cell to be even lower than in the one above it. Those in the physical sciences also perform instrumental pre-tests, ensuring that their measuring equipment is calibrated against established standards.

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Assessing Reliability

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Reliability has to do with the quality of measurement. In its everyday sense, reliability is the "consistency" or "repeatability" of your measures. Before we can define reliability precisely we have to lay the groundwork. First, you have to learn about the foundation of reliability, the true score theory of measurement.

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Validity and reliability in social science research items can first be given as a test and, subsequently, on the second occasion, the odd items as the alternative form. The corrected correlation coefficient between the even and odd item test scores will indicate the relative stability of the behaviour over that period of time.

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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. We could do this by estimating the reliability of the written test through a test-retest correlation, parallel forms, or an internal consistency measure (See Types of Reliability). What we are estimating in this cell is the reliability of the measure.

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Reliability and Validity. In order for research data to be of value and of use, they must be both reliable and valid. Reliability. Reliability refers to the repeatability of findings. If the study were to be done a second time, would it yield the same results? The answer depends on the amount of research support for such a relationship. Reliability refers to the consistency of a measure. Psychologists consider three types of consistency: over time (test-retest reliability), across items (internal consistency), and across different researchers (inter-rater reliability).