
Reliability Part. 2
Authored by Cous Mel
Social Studies
University
Used 1+ times

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29 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a desired alpha for preliminary validation?
0.60
0.80
0.90
0.70 to 0.80
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a desired alpha for research use?
0.60
0.80
0.90
0.70 to 0.80
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a desired alpha for clinical use?
0.60
0.80
0.90
0.70 to 0.80
4.
OPEN ENDED QUESTION
3 mins • 1 pt
Alia took some notes of her psychometric class regarding scale score reliability but her notes are not complete. All she wrote regarding alpha was: there are no golden rules should be used. The true response is that “it depends". As her classmate she asked you for help. So you share with her -->
(1) the reasons there is no golden rules
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Answer explanation
We can have a precise alpha as being best because:
1) for index and surveys there are little correlation between items
2) For items in speed and power test the items have little correlation
3) The longer the test the more reliable it is, so there will be a longer alpha for longer tests and vice versa
4) Short test that assesses broad concepts will have a lower alpha
5) Alpha can be influenced by the spearman prophecy formula to find out what the alpha would be for a certain number of item where k= d/n (d: desired number of item and n: total amount of item)
5.
OPEN ENDED QUESTION
3 mins • 1 pt
What does scale score reliability means?
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Answer explanation
It is a type of reliability that looks at how different combinations of half tests are similar in their alpha (correlation)
6.
OPEN ENDED QUESTION
3 mins • 1 pt
In the case of scale score reliability, why do we need items to be correlated to each other?
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Answer explanation
Hint: think of index items
Possible answer: Because scale score looks at the correlation of item halves or possible combinations of items in relation to the whole test. If Items are not correlated than it is irrelevant. For example for an index that uses one item per construct it is irrelevant (no correlation between items)
7.
OPEN ENDED QUESTION
3 mins • 1 pt
When looking at Cronbach alpha we may want to use it to create a shorter test. How would we go about doing that?
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Answer explanation
BY using the Spearman prophecy formula and have k, be k= d/n. Where d= the desired amount of item and n= the total amount of items.
Which would give us an adjusted alpha for that new test.
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