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What does 0.80 reliability mean?

A reliability of 0.70 is often considered adequate for group studies (Rammstedt, 2004), 0.80 is generally described as good (Nunnally & Bernstein, 1994; Weise, 1975), and a reliability coefficient of over 0.90 is deemed to be high (Weise, 1975).
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What does a reliability coefficient of 0.80 mean?

As a general rule, a reliability of 0.80 or higher is desirable for instructor-made tests. The higher the reliability estimated for the test, the more confident one may feel that the discriminations between students scoring at different score levels on the test are, in fact, stable differences.
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What does a reliability coefficient of .80 tell you about error?

The different types of reliability - inter-rater, test-retest, parallel-forms, and internal consistency - measure different aspects, but all use the standard reliability coefficient range. Generally, a reliability of . 80 or above indicates good or acceptable reliability.
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What does a reliability of 0.9 mean?

A test-retest reliability coefficient of 1 indicates perfect test-retest reliability, while a coefficient of 0 indicates no correlation between the two scores. Test-retest reliability between 0.8 and 0.9 is considered good reliability. Exceeding a coefficient of 0.9 is excellent reliability.
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What does a reliability coefficient of .85 mean?

A reliability coefficient of . 85 indicates that 85% of the variance in the test scores depends upon the true variance of the trait being measured, and 15% depends on error variance. Note that you do not square the value of the reliability coefficient in order to find the amount of true score variance.
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[PROBLEM] System Reliability Calculation ! how to calculate reliability of a system

Is 0.85 a strong correlation coefficient?

If is between 0.85 and 1, there is a strong correlation. If is between 0.5 and 0.85, there is a moderate correlation. If is between 0.1 and 0.5, there is a weak correlation. If is less than 0.1, there is no apparent correlation.
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What does a reliability coefficient of 0.90 mean?

An acceptable reliability coefficient must not be below 0.90, less than this value indicates inadequate reliability. For instance, r =. 90 on a test means that 90% of the test score is accurate while the remaining 10% consists of standard error.
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Is 0.6 reliability acceptable?

[17] stated that the reliability of 0, 60 is acceptable for newly built instruments or at an early exploration stage. According to [18], reliability of more than 0.8 is the most acceptable value, between 0.6-0.8 is less acceptable, and a value is less than 0, 6 is not accepted.
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How do you interpret reliability?

Reliability refers to how dependably or consistently a test measures a characteristic. If a person takes the test again, will he or she get a similar test score, or a much different score? A test that yields similar scores for a person who repeats the test is said to measure a characteristic reliably.
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What is an acceptable level of reliability?

A general accepted rule is that α of 0.6-0.7 indicates an acceptable level of reliability, and 0.8 or greater a very good level. However, values higher than 0.95 are not necessarily good, since they might be an indication of redundance (Hulin, Netemeyer, and Cudeck, 2001).
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What does a reliability of .90 mean?

Reliability is defined as the probability that an item survives to a particular time. For example, 90% reliability at 500 hours implies that if 100 brand new units were put in the field, then 90 of those units would not fail by 500 hours.
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What does a reliability less than 0.5 indicate?

Values less than 0.5 are indicative of poor reliability, values between 0.5 and 0.75 indicate moderate reliability, values between 0.75 and 0.9 indicate good reliability, and values greater than 0.90 indicate excellent reliability.
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What is a bad reliability score?

≥ 0.6 < 0.7: questionable reliability, ≥ 0.5 < 0.6: poor reliability, < 0.5: unacceptable reliability, 0: no reliability.
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Is Cronbach Alpha 0.8 reliable?

An item is considered reliable with Cronbach's alpha score greater than 0.6, acceptable between 0.6 to 0.8, with a corrected item-total correlation greater than 0.3 [9, 10].
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What is a strong reliability score?

Test-retest reliability has traditionally been defined by more lenient standards. Fleiss (1986) defined ICC values between 0.4 and 0.75 as good, and above 0.75 as excellent. Cicchetti (1994) defined 0.4 to 0.59 as fair, 0.60 to 0.74 as good, and above 0.75 as excellent.
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What are the 3 types of reliability?

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).
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What are the 4 types of reliability?

The reliability is categorized into four main types which involve:
  • Test-retest reliability.
  • Interrater reliability.
  • Parallel forms reliability.
  • Internal consistency.
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How do you know if Cronbach's alpha is reliable?

The general rule of thumb is that a Cronbach's alpha of . 70 and above is good, . 80 and above is better, and . 90 and above is best.
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Can reliability be greater than 1?

Remember that reliability is a number that ranges from 0 to 1, with values closer to 1 indicating higher reliability. Ideally, you want your measure to have a reliability above 0.7.
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Can reliability be over 1?

In practice, the possible values of estimates of reliability range from – to 1, rather than from 0 to 1.
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What does a reliability of 1.0 mean?

The values for reliability coefficients range from 0 to 1.0. A coefficient of 0 means no reliability and 1.0 means perfect reliability. Since all tests have some error, reliability coefficients never reach 1.0.
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Is 0.9 A Good correlation?

Correlation coefficients whose magnitude are between 0.9 and 1.0 indicate variables which can be considered very highly correlated. Correlation coefficients whose magnitude are between 0.7 and 0.9 indicate variables which can be considered highly correlated.
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What is 0.9 correlation?

The magnitude of the correlation coefficient indicates the strength of the association. For example, a correlation of r = 0.9 suggests a strong, positive association between two variables, whereas a correlation of r = -0.2 suggest a weak, negative association.
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Is Cronbach Alpha 0.9 reliable?

that the reliability which is higher than 0.9 is regarded as excellent, higher than 0.8 is fine, higher than 0.7 is adequate, higher than 0.6 is doubtful, and lower than 0.5 is substandard. Table 3 presents the values of Cronbach's alpha and CR of all constructs.
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Is 0.80 a strong correlation?

Correlation Coefficient = +1: A perfect positive relationship. Correlation Coefficient = 0.8: A fairly strong positive relationship.
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