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ID: 3246526 • Letter: W
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Solution:-
1). (c) Internal consistency reliability
In internal consistency reliability estimation we use our single measurement instrument administered to a group of people on one occasion to estimate reliability. In effect we judge the reliability of the instrument by estimating how well the items that reflect the same construct yield similar results. We are looking at how consistent the results are for different items for the same construct within the measure. There are a wide variety of internal consistency measures that can be used.
2). (d)
Inter-rater reliability is appropriate when the measure is continuous. There, you need to calculate the correlation between the ratings of the two observers. The correlation between these ratings would give you an estimate of the reliability or consistency between the raters.
3). (d)
Inter-Rater or Inter-Observer Reliability is used to assess the degree to which different raters/observers give consistent estimates of the same phenomenon.
4). (a)
We estimate test-retest reliability when we administer the same test to the same sample on two different occasions. This approach assumes that there is no substantial change in the construct being measured between the two occasions. The amount of time allowed between measures is critical. We know that if we measure the same thing twice that the correlation between the two observations will depend in part by how much time elapses between the two measurement occasions. The shorter the time gap, the higher the correlation; the longer the time gap, the lower the correlation. This is because the two observations are related over time -- the closer in time we get the more similar the factors that contribute to error.
5). (c)
All given options are wide variety of statistical tests that are available for internal consistency, except Concurrent reliability index.
6). True.
If data are valid, they must be reliable. If people receive very different scores on a test every time they take it, the test is not likely to predict anything. However, if a test is reliable, that does not mean that it is valid. For example, we can measure strength of grip very reliably, but that does not make it a valid measure of intelligence or even of mechanical ability. Reliability is a necessary, but not sufficient, condition for validity.
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