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Predicted reliability, ′, is estimated as: ′ = ′ + ′ where n is the number of "tests" combined (see below) and ′ is the reliability of the current "test". The formula predicts the reliability of a new test composed by replicating the current test n times (or, equivalently, creating a test with n parallel forms of the current exam).
If the correlation between separate administrations of the test is high (e.g. 0.7 or higher as in this Cronbach's alpha-internal consistency-table [6]), then it has good test–retest reliability. The repeatability coefficient is a precision measure which represents the value below which the absolute difference between two repeated test results ...
Unfortunately, there is no way to directly observe or calculate the true score, so a variety of methods are used to estimate the reliability of a test. Some examples of the methods to estimate reliability include test-retest reliability, internal consistency reliability, and parallel-test reliability. Each method comes at the problem of ...
The name of this formula stems from the fact that is the twentieth formula discussed in Kuder and Richardson's seminal paper on test reliability. [1] It is a special case of Cronbach's α, computed for dichotomous scores. [2] [3] It is often claimed that a high KR-20 coefficient (e.g., > 0.90) indicates a homogeneous test. However, like ...
In a 1978 published analysis of 86 responses, Thomas and Kilmann determined that the TKI exhibited moderate test-retest repeatability, moderate internal consistency (measured by Cronbach's alpha), and low to moderate correlation with three other instruments. [2]
The higher the correlation between scores at two time points, more stable the measure is. Based on 129 participants, the test-retest reliability of the MCMI-IV personality and clinical syndrome scales ranged from 0.73 (Delusional) to 0.93 (Histrionic) with a most values above 0.80. [1]
Thus, a reliable self-report measure produces consistent results every time it is executed. [3] A test's reliability can be measured a few ways. [3] First, one can calculate a test-retest reliability. [3] A test-retest reliability entails conducting the same questionnaire to a large sample at two different times. [3]
In statistics, intra-rater reliability is the degree of agreement among repeated administrations of a diagnostic test performed by a single rater. [ 1 ] [ 2 ] Intra-rater reliability and inter-rater reliability are aspects of test validity .